REGIONAL GRIDDING CUMULATIVE ENVIRONMENTAL RISK EVALUATION SYSTEM AND METHOD BASED ON RISK FIELD

Abstract

The present disclosure discloses a regional gridding cumulative environmental risk evaluation system and method based on a risk field, and belongs to the fields of environmental sciences and environmental risks. The cumulative environmental risk evaluation system comprises a data acquisition unit, a data storage unit, an evaluation analysis unit, and a risk visualization unit. The evaluation method includes: establishing a cumulative environmental risk index evaluation model based on a cumulative environmental risk field intensity index, a cumulative environmental risk control mechanism index, and a cumulative environmental risk receptor index, evaluating a cumulative environmental risk through the established model, and determining a grade of the cumulative environmental risk of the evaluation region. By integrating the cumulative environmental risk evaluation system and evaluation method, a cumulative environmental risk can be scientifically and accurately evaluated, so that a powerful technical support is provided for the management work of the cumulative environmental risk.

Description

CROSS REFERENCE TO RELATED APPLICATIONS

The present application claims the benefit of Chinese Patent Application No. 202010037422.1 filed on Jan. 14, 2020, the contents of which are hereby incorporated by reference.

TECHNICAL FIELD

The present disclosure belongs to the field of environmental science and environmental risks, and particularly relates to a regional gridding cumulative environmental risk evaluation system and method based on a risk field.

BACKGROUND

Since the water pollution event occurred in Songhua River in 2005, the risk management of abrupt environmental incidents in China, especially the emergency management of sudden risks, has developed rapidly, and various policy documents have been introduced densely. However, the current “event-driven” environmental risk management mode in China cannot effectively identify specific environmental risk management objectives at all levels, and there is a lack of regional and integrated environmental risk analysis and evaluation methods and results, which causes that the environmental risk base is unclear, and national and regional major environmental risk factors cannot be effectively identified to achieve various environmental risk division, seriously hampering the development of environmental risk priority management for classification and regionalization. With environmental risk evaluation and drawing of a gridding environmental risk map in units of regions, the priority identification, classification, and regionalization management of environmental risks in China can be supported.

The environmental risks include a sudden environmental risk and a cumulative environmental risk. Aiming at regional gridding sudden environmental risk evaluation, China has issued “Recommended Measures for the Risk Evaluation of Abrupt Environmental Incidents in Administrative Regions” as the technical basis of regional sudden environmental risk evaluation based on a risk field. In terms of the cumulative environmental risk, the existing evaluation methods are mainly carried out on the basis of pollution concentration data, population exposure conditions, and corresponding exposure response relationships, and are difficult to apply when evaluating environmental risks lacking information of pollutant exposure and exposure response relationships. Therefore, the existing evaluation methods can generally only be used for cumulative risk evaluation of one or a limited number of pollutants with exposure response relationships. Although Chinese Patent Application No. 201610098851.3 discloses a regional integrated environmental risk evaluation and regionalization method, which evaluates an environmental risk from a macroscopic perspective, this method still relies on data such as pollutant exposure and exposure response relationships.

Therefore, based on the above analysis, the existing method relies on the data such as pollutant exposure and exposure response relationships, can only be used for cumulative risk evaluation of one or a limited number of pollutants with exposure response relationships, is difficult to adapt to gridding cumulative environmental risk evaluation when there are potential multiple pollutants exposure, and is inaccurate in evaluation and poor in universality.

SUMMARY

Technical Problem: The present disclosure provides a regional gridding cumulative environmental risk evaluation system and method based on a risk field. The system and the method are used for cumulative environmental risk evaluation, can be independent of information of pollutant exposure and exposure response relationships, are suitable for cumulative environmental risk evaluation when there are potential multiple pollutants exposure, are accurate in evaluation, and have high universality, scientificity, and accuracy.

Technical Solution: The regional gridding cumulative environmental risk evaluation system based on the risk field of the present disclosure includes a processor, a memory that stores operational instructions that executed by the processor, where the processor comprises a data acquisition unit, an evaluation analysis unit, and a risk visualization unit, the memory comprises a data storage unit.

The data acquisition unit is configured to acquire environmental risk related data in an evaluation region.

The data storage unit is configured to store the environmental risk related data acquired by the data acquisition unit.

The evaluation analysis unit is provided with a plurality of sub-evaluation analysis units according to categories of environmental media, and is configured to evaluate a cumulative environmental risk of each environmental medium and evaluate a cumulative integrated environmental risk integrating all the environmental media.

The risk visualization unit is configured to generate a cumulative environmental risk map and visually display a cumulative environmental risk condition in the evaluation region.

Further, the evaluation analysis unit includes: a cumulative atmosphere environmental risk evaluation analysis unit, configured to evaluate a cumulative atmosphere environmental risk;

a cumulative water environmental risk evaluation analysis unit, configured to evaluate a cumulative water environmental risk;

a cumulative soil environmental risk evaluation analysis unit, configured to evaluate a cumulative soil environmental risk; and

a cumulative integrated risk evaluation unit, configured to evaluate a cumulative integrated environmental risk integrating atmosphere, water, and soil.

The regional gridding cumulative environmental risk evaluation method based on the risk field of the present disclosure is used for cumulative environmental risk evaluation, using the cumulative environmental risk evaluation system, and specifically includes:

determining an evaluation region, performing grid division on the evaluation region, collecting environmental risk related data including pollution condition data, environmental management statistical data, and geographic information data in the evaluation region using a data acquisition module, and storing the environmental risk related data in the data storage unit;

establishing, for a plurality of environmental media, a cumulative environmental risk index evaluation model based on a cumulative environmental risk field intensity index, a cumulative environmental risk control mechanism index, and a cumulative environmental risk receptor index, and placing the cumulative environmental risk index evaluation model in the evaluation analysis unit for evaluating the cumulative environmental risks, the cumulative environmental risk index evaluation model including cumulative environmental risk indexes corresponding to various environmental media and a cumulative integrated environmental risk index integrating all the categories of environmental media, and a method for calculating the cumulative integrated environmental risk index being:

$RC=\sqrt[5]{\sum _{k=1}^{m}R{C}_k^5},$

where RC represents a cumulative integrated environmental risk index of a grid, RC_k represents a cumulative environmental risk index corresponding to a k^th environmental medium of the grid, k is a serial number, and m represents categories of environmental media in the grid; and

performing grade division on the cumulative environmental risks of the evaluation region, determining a grade corresponding to the cumulative environmental risk of each grid in the evaluation region, and drawing a cumulative environmental risk map by the risk visualization unit.

Further, a method for calculating the cumulative environmental risk indexes corresponding to various environmental media is:

${\mathrm{RC}}_k=\sqrt[3]{{\mathrm{SF}}_k\times {\mathrm{SV}}_k\times {\mathrm{SM}}_k},k=1\dots m,$

where RC_k represents a cumulative environmental risk index corresponding to a k^th environmental medium of a grid, SF_k represents a cumulative environmental risk field intensity index corresponding to the k^th environmental medium of the grid, SM_k represents a cumulative environmental risk control mechanism index corresponding to the k^th environmental medium of the grid, SV_k represents a cumulative environmental risk receptor index corresponding to the k^th environmental medium of the grid, k is a serial number, and m represents categories of environmental media in the grid.

Further, the environmental media include water, atmosphere, and soil, and the corresponding cumulative environmental risk field intensity indexes include: a cumulative atmosphere environmental risk field intensity index, a cumulative water environmental risk field intensity index, and a cumulative soil environmental risk field intensity index.

The corresponding cumulative environmental risk control mechanism indexes include: a cumulative atmosphere environmental risk control mechanism index, a cumulative water environmental risk control mechanism index, and a cumulative soil environmental risk control mechanism index.

The corresponding cumulative environmental risk receptor indexes include: a cumulative atmosphere environmental risk receptor index, a cumulative water environmental risk receptor index, and a cumulative soil environmental risk receptor index.

Further, a method for calculating the cumulative atmosphere environmental risk field intensity index is:

$F{A}_{x,y}=\sum _i^n\frac{{\mathrm{DA}}_i\left(u_i+1\right)}{2}$ ${\mathrm{DA}}_i=\sqrt{{\mathrm{SA}}_i\times {\mathrm{MA}}_i}$ $u_i=\{\begin{array}{cc}1+0k_1+0k_2+0j,& l_i\le s_1\\ \frac{s_2-l_i}{s_2-s_1}+\frac{l_i-s_1}{s_2-s_1}{k}_1+0k_2+0j,& s_1<l_i\le s_2\\ 0+\frac{s_3-l_i}{s_3-s_2}{k}_1+\frac{l_i-s_2}{s_3-s_2}{k}_2+0j,& s_2<l_i\le s_3\\ 0+0k_1+\frac{s_4-l_i}{s_4-s_3}{k}_2+\frac{l_i-s_3}{s_4-s_3}j,& s_3<l_i\le s_4\\ 0+0k_1+0k_2+1_j,& l_i>s_4\end{array}$

where FA_x,y is a cumulative atmosphere environmental risk field intensity index of a grid (x, y); DA_i is a source intensity of an i^th cumulative atmosphere environmental risk source; SA_T is an environmental risk index of the i^th cumulative atmosphere environmental risk source in the evaluation region; MA_i is an environmental risk management and control level index of the i^th cumulative atmosphere environmental risk source in the evaluation region; u_i is a connection degree between the i^th risk source and the grid (x, y); l_i is a distance between a center point of the grid (x, y) and the i^th risk source in km; and i is a serial number, k is a difference coefficient, and j is an opposite of coefficient, where n is the number of cumulative atmosphere environmental risk sources, s₁, s₂, s₃, and s₄ are all constants used for dividing a spatial range in the calculation of the connection degree, and x and y are coordinates of the grid.

Further, after a grid is determined as a water body, the cumulative water environmental risk field intensity index is calculated according to the following formula:

$F{W}_{x,y}=\{\begin{array}{cc}\sum _{i=1}^n{\mathrm{DW}}_i,& 0\le l_i\le 1\\ \sum _{i=1}^n\left(1-\frac{l_i}{10}\right){\mathrm{DW}}_i,& 1<l_i\le 10\\ 0,& 10,<l_i\end{array}D{W}_i=\sqrt{S{W}_i\times M{W}_i}$

where FW_x,y is a cumulative water environmental risk field intensity index of a grid (x, y); DW_i is a source intensity of an i^th cumulative water environmental risk source; l_i is a distance between a center point of the grid (x, y) and the i^th water environmental risk source in km; SW_i is an environmental risk index of the i^th cumulative water environmental risk source in the evaluation region; and MW_i is an environmental risk management and control level index of the i^th cumulative water environmental risk source in the evaluation region, where n is the number of cumulative water environmental risk sources, i is a serial number, and x and y are coordinates of the grid.

Further, a method for calculating the cumulative soil environmental risk field intensity index is:

FS _x,y =F _x,y +FW _x,y

where FS_x,y is a cumulative soil environmental risk field intensity index of a grid (x, y); FA_x,y is a cumulative atmosphere environmental risk field intensity index of the grid (x, y); FW_x,y is a cumulative water environmental risk field intensity index of the grid (x, y); and x and y are coordinates of the grid.

Further, the cumulative atmosphere environmental risk control mechanism index, the cumulative water environmental risk control mechanism index, the cumulative soil environmental risk control mechanism index, the cumulative water environmental risk receptor index, and the cumulative soil environmental risk receptor index are determined by a scoring method, evaluation indicators of various environmental media are determined and assigned with weights and scores, such that quantification is performed, and various indicator scores are integrated to calculate a score of each index.

Further, the pollution condition data includes basic information of a pollution enterprise, violation condition and characteristic pollutant monitoring, waste discharge and treatment, and storage of dangerous chemicals. The environmental management statistical data includes environmental governance investment, environmental management law enforcement investment, and environmental problem letters and visits and complaint conditions. The geographic information data includes water body distribution, terrain elevation data, meteorological data, population distribution, and land use types.

Beneficial effects: Compared with the prior art, the present disclosure has the following advantages:

(1) The regional gridding cumulative environmental risk evaluation system based on the risk field of the present disclosure includes a data acquisition unit, a data storage unit, an evaluation analysis unit, and a risk visualization unit, which can complete data acquisition, data storage, environmental risk evaluation, and environmental risk visualization, thus completing the whole environmental risk evaluation process, so that an environmental risk can be managed and regulated scientifically, and the technical support is provided for accurate management work of regionalization classification of cumulative environmental risks.

(2) According to the regional gridding cumulative environmental risk evaluation method based on the risk field of the present disclosure, various data types such as enterprise-level environmental performance data, regional environmental management data, and geographic data are integrated, and grid division is performed on an evaluation region. Then, a cumulative environmental risk index evaluation model is constructed from a cumulative environmental risk field intensity, a cumulative environmental risk control mechanism, and a cumulative environmental risk receptor respectively based on a risk field theory, and grade division is performed according to a score of a cumulative environmental risk index, so that a cumulative environmental risk grade of the evaluation region is determined, a visual map is drawn, and evaluation and visualization of the regional gridding cumulative environmental risk are realized. The method of the present disclosure is independent of exposure data and information of exposure response relationships, so that the cumulative environmental risk can be evaluated macroscopically. Therefore, the method is high in universality and comprehensive in evaluation, and thus can be used as a technical means for identifying a priority of the cumulative environmental risk in China to provide a technical support for accurate management work of regionalization and classification of the cumulative environmental risks.

(3) According to the method of the present disclosure, the difference of different environmental media such as atmosphere, water, and soil is fully considered, a cumulative atmosphere/water/soil environmental risk field intensity index, a cumulative atmosphere/water/soil environmental risk control mechanism index, and a cumulative atmosphere/water/soil environmental risk receptor index in the evaluation region are calculated, the cumulative environmental risk index of each environmental medium in the evaluation region is determined according to the three indexes, and the cumulative integrated environmental risk indexes of all environmental medium, so that the cumulative environmental risk in the evaluation region is integrally evaluated. In particular, in the method of the present disclosure, the cumulative risk of soil is fully considered, so that the cumulative environmental risk evaluation is more accurate.

(4) According to the method of the present disclosure, when part of evaluation indexes are calculated, a scoring method is mainly adopted, different evaluation indicators are set for each environmental medium in the evaluation region, and the indicators are scored and quantified, so that accurate exposure data and exposure response relationship are not required. That is, the environmental risk can be scientifically quantified, and various factors can be integrally considered, not limited to a single indicator, so that the cumulative environmental risk in the evaluation region is scientifically and accurately evaluated, the operation is simple, and the universality is strong. Moreover, when each indicator is weighted, an equal weight form is adopted. The defects of strong subjectivity, high complexity and high difficulty when different weights are adopted are avoided, so that the cumulative environmental risk is evaluated more scientifically and accurately.

(5) According to the method of the present disclosure, the cumulative environmental risk of soil is integrally considered. Since the ways for pollutants to enter a soil environment include atmospheric dry and wet sedimentation, groundwater pollution, and the like, the mechanism is complex, and data is difficult to obtain, the method of the present disclosure determines a calculation method of a cumulative soil environmental risk field intensity so as to reduce the underestimation of the cumulative soil environmental risk under high uncertainty, so that the environmental risk evaluation is more comprehensive and accurate.

(6) According to the method of the present disclosure, a new calculation method for calculating a cumulative integrated environmental risk index is constructed by adopting a Euclidean norm method, and environmental risks of different media are superposed, so as to ensure that the division of the superposed integrated environmental risk is in a reasonable environmental risk grade, the discrimination of the superposed environmental risk index is maintained, the defects of inaccurate evaluation of the cumulative environmental risk and unreasonable risk grade classification of a traditional method are avoided, and the calculation of the cumulative environmental risk of the evaluation region is more scientific and accurate.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a frame diagram of a regional gridding cumulative environmental risk evaluation system based on a risk field according to the present disclosure.

FIG. 2 is a calculation flow chart of a regional gridding cumulative environmental risk evaluation method based on a risk field according to the present disclosure.

FIG. 3 is a cumulative environmental risk map of Nanjing District drawn based on the method of the present disclosure.

DETAILED DESCRIPTION

The following further describes the present disclosure in detail with reference to the embodiments and the accompanying drawings in this specification.

As shown in FIG. 1, the regional gridding cumulative environmental risk evaluation system based on the risk field of the present disclosure includes a processor, a memory that stores operational instructions that executed by the processor, where the processor comprises a data acquisition unit, an evaluation analysis unit, and a risk visualization unit, the memory comprises a data storage unit. The data acquisition unit is configured to acquire environmental risk related data in an evaluation region. The data storage unit is configured to store the environmental risk related data acquired by the data acquisition unit. The evaluation analysis unit is provided with a plurality of sub-evaluation analysis units according to categories of environmental media, and is configured to evaluate a cumulative environmental risk of each environmental medium and evaluate a cumulative integrated environmental risk integrating all the environmental media. The risk visualization unit is configured to generate a cumulative environmental risk map and visually display a cumulative environmental risk condition in the evaluation region.

In an embodiment of the present disclosure, the environmental media include atmosphere, water, and soil. Therefore, the evaluation analysis unit in the cumulative environmental risk evaluation system includes: a cumulative atmosphere environmental risk evaluation analysis unit, configured to evaluate a cumulative atmosphere environmental risk; a cumulative water environmental risk evaluation analysis unit, configured to evaluate a cumulative water environmental risk; a cumulative soil environmental risk evaluation analysis unit, configured to evaluate a cumulative soil environmental risk; and a cumulative integrated risk evaluation unit, configured to evaluate a cumulative integrated environmental risk integrating atmosphere, water, and soil.

The cumulative environmental risk evaluation system can complete data acquisition, data storage, environmental risk evaluation, and environmental risk visualization, thus completing the whole environmental risk evaluation process, so that an environmental risk can be managed and regulated scientifically, and the technical support is provided for accurate management work of regionalization classification of cumulative environmental risks.

According to the regional gridding cumulative environmental risk evaluation method based on the risk field of the present disclosure, environmental risk evaluation can be performed by adopting the cumulative risk evaluation system of the present disclosure. As shown in FIG. 2, in the method, an evaluation region is firstly determined and is subjected to grid division, environmental risk related data in the evaluation region is collected by adopting the data acquisition module, and the environmental risk related data is stored in the data storage unit. The environmental risk related data in the evaluation region includes: pollution condition data, environmental management statistical data, and geographic information data. The pollution condition data includes basic information of a pollution enterprise, violation condition and characteristic pollutant monitoring, waste discharge and treatment, and storage of dangerous chemicals. The environmental management statistical data includes environmental governance investment, environmental management law enforcement investment, and environmental problem letters and visits and complaint conditions. The geographic information data includes water body distribution, terrain elevation data, meteorological data, population distribution, and land use types. As can be seen from the environmental related data, the data are all state information in the evaluation region, which shows an environmental related state in the evaluation region.

When the evaluation region is subjected to grid division, a coordinate system is established by taking a longitude line passing through the westernmost point of the evaluation region as a Y-axis in a northward positive direction, a latitude line passing through the southernmost point of the evaluation region as an X-axis in an eastward positive direction, and an intersection point of two coordinate axes as an origin. Grid units are divided according to a set resolution in the coordinate system, and parts of the region falling in the grid are numbered. The resolution is typically set to 500 m×500 m and/or 1000 m×1000 m, which ensures that each grid unit contains enough information to reflect an environmental risk in the grid unit and avoids inaccurate evaluation due to too large selection range. After the coordinate system is established and the grids are divided according to the set resolution, any grid may be represented by (x, y) and the coordinates of the grid may be represented by x and y.

For a plurality of environmental media, a cumulative environmental risk index evaluation model is established based on a cumulative environmental risk field intensity index, a cumulative environmental risk control mechanism index, and a cumulative environmental risk receptor index, and the cumulative environmental risk index evaluation model is placed in the evaluation analysis unit for evaluating the cumulative environmental risks. The cumulative environmental risk field intensity index is used to describe a distribution pattern formed by each cumulative environmental risk source in a certain environmental space. The cumulative risk control mechanism index is used to indicate the effectiveness of policies, measures, and technologies for reducing environmental risks in a certain environmental space. The cumulative environmental risk receptor index is used to describe the vulnerability and importance of risk receptors, including population and ecosystem. The three indexes are integrated to establish a cumulative environmental risk index evaluation model. The cumulative environmental risk index evaluation model includes cumulative environmental risk indexes corresponding to all environmental media and a cumulative integrated environmental risk index integrating all environmental media. For example, in an embodiment of the present disclosure, the environmental media include atmosphere, water, and soil. The cumulative environmental risk index corresponding to a single environmental medium includes a cumulative atmosphere environmental risk index, a cumulative water environmental risk index, and a cumulative soil environmental risk index, respectively corresponding to a cumulative atmosphere environmental risk evaluation analysis unit, a cumulative water environmental risk evaluation analysis unit, and a cumulative soil environmental risk evaluation analysis unit of the cumulative environmental risk evaluation system, and a cumulative integrated environmental risk index is obtained by integrating three environmental media: atmosphere, water, and soil, and corresponds to a cumulative integrated environmental risk evaluation analysis unit.

In a specific implementation process, the cumulative environmental risk field intensity index, the cumulative environmental risk control mechanism index, and the cumulative environmental risk receptor index of each environmental medium of each grid in the evaluation region are calculated respectively, and the cumulative environmental risk index corresponding to each environmental medium of the grid and the cumulative integrated environmental risk index integrating all environmental media are determined.

In the embodiment of the present disclosure, the environmental media include water, atmosphere, and soil, so that the corresponding cumulative environmental risk field intensity indexes include: a cumulative atmosphere environmental risk field intensity index, a cumulative water environmental risk field intensity index, and a cumulative soil environmental risk field intensity index. The corresponding cumulative environmental risk control mechanism indexes include: a cumulative atmosphere environmental risk control mechanism index, a cumulative water environmental risk control mechanism index, and a cumulative soil environmental risk control mechanism index. The corresponding cumulative environmental risk receptor indexes include: a cumulative atmosphere environmental risk receptor index, a cumulative water environmental risk receptor index, and a cumulative soil environmental risk receptor index.

Since the soil medium is poor in fluidity, and pollutants are relatively easy to accumulate, the soil medium is indispensable in cumulative environmental risk evaluation. Therefore, in the method of the present disclosure, it is included in the evaluation scope, which makes the evaluation more comprehensive.

The calculation process of the cumulative environmental risk field intensity index, the cumulative environmental risk control mechanism index, and the cumulative environmental risk receptor index is described in conjunction with the flowchart shown in FIG. 2. Since each grid unit is independently performed at the time of evaluation, the calculation process and method of each index are described below in units of one grid at the time of calculation.

(1) A cumulative environmental risk field intensity index (F) of each grid unit is calculated: cumulative environmental risk field intensity indexes of three environmental media are respectively calculated, including a cumulative atmosphere environmental risk field intensity index (FA), a cumulative water environmental risk field intensity index (FW), and a cumulative soil environmental risk field intensity index (FS).

1) A calculation formula of the cumulative atmosphere environmental risk field intensity index (FA) is as shown in (1)-(3):

$\begin{array}{cc}F{A}_{x,y}=\sum _i^n\frac{{\mathrm{DA}}_i\left(u_i+1\right)}{2}& \left(1\right)\\ {\mathrm{DA}}_i=\sqrt{{\mathrm{SA}}_i\times {\mathrm{MA}}_i}& \left(2\right)\\ u_i=\{\begin{array}{cc}1+0k_1+0k_2+0j,& l_i\le s_1\\ \frac{s_2-l_i}{s_2-s_1}+\frac{l_i-s_1}{s_2-s_1}{k}_1+0k_2+0j,& s_1<l_i\le s_2\\ 0+\frac{s_3-l_i}{s_3-s_2}{k}_1+\frac{l_i-s_2}{s_3-s_2}{k}_2+0j,& s_2<l_i\le s_3\\ 0+0k_1+\frac{s_4-l_i}{s_4-s_3}{k}_2+\frac{l_i-s_3}{s_4-s_3}j,& s_3<l_i\le s_4\\ 0+0k_1+0k_2+1_j,& l_i>s_4\end{array}& \left(3\right)\end{array}$

In Formulas (1)-(3), FA_x,y is a cumulative atmosphere environmental risk field intensity index of a grid (x, y); DT_i is a source intensity of an i^th cumulative atmosphere environmental risk source; SA_T is an environmental risk index of the i^th cumulative atmosphere environmental risk source in the evaluation region; MA_i is an environmental risk management and control level index of the i^th cumulative atmosphere environmental risk source in the evaluation region; u_i is a connection degree between the i^th risk source and the grid (x, y); l_i is a distance between a center point of the grid (x, y) and the i^th risk source in km; and i is a serial number, k is a difference coefficient, and j is an opposite of coefficient, where n is the number of cumulative atmosphere environmental risk sources. In the embodiment of the present disclosure, k₁=0.5, k₂=−0.5, and j=−1 respectively; s₁, s₂, s₃, and s₄ are all constants for dividing a space range in the calculation of the connection degree, and are 1 km, 3 km, 5 km, and 10 km respectively.

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (4):

$\begin{array}{cc}{\mathrm{SFA}}_{x,y}=\frac{{\mathrm{FA}}_{x,y}-{\mathrm{FA}}_{\min }}{{\mathrm{FA}}_{\max }-{\mathrm{FA}}_{\min }}\times 100& \left(4\right)\end{array}$

In Formula (4), SFA_x,y is a standardized cumulative atmosphere environmental risk field index of the grid (x, y); FA_max is a maximum value of cumulative atmosphere environmental risk field intensities of all grids in an evaluation region; and FA_min is a minimum value of the cumulative atmosphere environmental risk field intensities of all the grids in the evaluation region.

Since the situation of a risk source is integrally considered, the calculated cumulative atmosphere environmental risk field intensity index is more scientific and accurate, laying a foundation for accurate cumulative environmental risk evaluation.

Illustratively, an environmental risk index of the cumulative atmosphere environmental risk source in Formula (2) is used for representing the degree of a potential cumulative hazard caused by the risk source. The environmental risk index of the cumulative atmosphere environmental risk source mainly includes a storage chemical substance risk source index and an emission pollutant risk source index. Emission pollutants include heavy metals and volatile organic compounds.

The storage chemical substance risk source index includes a storage chemical substance ecological health index and a population health index. A calculation mode of the ecological health index is: multiplying an existing quantity of each air-related risk substance of the risk source by a corresponding Bioconcentration factor (BCF), and then summing. If the air-related risk substance does not have the BCF, an atmosphere environment ecological health influence is not considered.

A calculation mode of the population health index is: multiplying an existing quantity of each air-related risk substance of the risk source by a corresponding inhalation carcinogenic slope factor, and then summing. If the substance does not have the inhalation carcinogenic slope factor, an atmosphere environment population health influence is not considered.

A calculation mode of the emission pollutant risk source index is: dividing an annual emission of each heavy metal and volatile organic compound in exhaust emissions by a corresponding exhaust emission concentration standard, and then summing.

In order to make the index of each part in the same interval range, a natural logarithm is taken for each part, a result is standardized by using a range method, and adjusted to be within a range of 0-100, and all parts are finally added and summed to obtain the cumulative atmosphere environmental risk source index of the risk source.

An environmental risk management and control level index of the cumulative atmosphere environmental risk source in Formula (3) represents the effectiveness of policies, measures, technologies, and the like for reducing the cumulative environmental risk of the risk source. The environmental risk management and control level index of the cumulative atmosphere environmental risk source may be quantitatively evaluated by adopting a scoring method, and evaluation indicators are shown in Table 1:

TABLE 1
Cumulative Atmosphere Environmental Risk Management and
Control Level Indicators and Evaluation
Evaluation
Indicators	Evaluation Classification Condition	Weight	Score
Collection	No volatile organic primary and	¼	30
mode	secondary materials exist
of volatile	Volatile organic primary and		60
organic	secondary materials exist, but
compounds	are discharged to
	a treatment facility
	Volatile organic primary and		100
	secondary materials are free
	of organic emission and
	there are no volatile organic
	treatment facilities
Automatic	No heavy metals and	¼	30
monitoring	volatile organic compounds are
data	involved
of heavy	Heavy metals and volatile organic		60
metals	compounds are involved,
and volatile	and there is automatic monitoring data
organic	Heavy metals and volatile organic		100
compounds	compounds are involved,
	and there is no automatic monitoring data
Toxic gas	No toxic and harmful	¼	30
leakage	gases are involved
monitoring	A toxic and harmful gas		60
early	prevention and control early
warning	warning system is provided
measures	No toxic and harmful gas		100
	prevention and control early
	warning system is provided
Emission of	No heavy metals and volatile	¼	30
heavy metals	organic compounds are
and volatile	involved
organic	Emission concentrations		60
compounds	of heavy metals and volatile organic
and	compounds reach the standard
information	Emission concentrations		100
of	of heavy metals and volatile
reaching	organic compounds do
standard	not reach the standard

The obtained scores of all the indicators are accumulated, the environmental risk management and control level index of the cumulative atmosphere environmental risk source of the risk source is determined, and then the obtained scores are standardized.

2) Cumulative water environmental risk field intensity index (FW): the calculation of a cumulative water environmental risk field intensity is mainly aimed at a water body possibly influenced by cumulative environmental risk substances in the evaluation region, so that the evaluation range is mainly river, lake, reservoir, and other water bodies, and the land is not within the calculation range of a cumulative water environmental risk field. Therefore, the types of the grids need to be classified to determine whether the grids are water body types, as shown in Formula (5):

$\begin{array}{cc}T\left(x,y\right)=\{\begin{array}{cc}1,& \mathrm{Water}\mathrm{body}\\ 0,& \mathrm{Other}\end{array}& \left(5\right)\end{array}$

In Formula (5), T(x,y) is a type of a grid (x, y), T(x,y)=1, indicating that the grid is a water body, and T(x,y)=0, indicating that the grid is of another type.

If T(x,y) corresponding to the grid (x, y) is equal to 0, the evaluation of a water environmental risk field of the grid is stopped, and a water environmental risk of the grid is set to 0. If T(x,y) corresponding to the grid (x, y)=1, a water environmental risk field index is calculated by using Formula (6).

$\begin{array}{cc}F{W}_{x,y}=\{\begin{array}{cc}\sum _{i=1}^n{\mathrm{DW}}_i,& 0\le l_i\le 1\\ \sum _{i=1}^n\left(1-\frac{l_i}{10}\right){\mathrm{DW}}_i,& 1<l_i\le 10\\ 0,& 10<l_i\end{array}& \left(6\right)\\ {\mathrm{DW}}_i=\sqrt{{\mathrm{SW}}_i\times {\mathrm{MW}}_i}& \left(7\right)\end{array}$

In Formulas (6)-(7), FW_x,y is a cumulative water environmental risk field intensity of a grid (x, y); DW_i is a source intensity of an i^th cumulative water environmental risk source; l_i is a distance between a center point of the grid (x, y) and the i^th water environmental risk source in km; SW_i is an environmental risk index of the i^th cumulative water environmental risk source in the evaluation region; and MW_i is an environmental risk management and control level index of the i^th cumulative water environmental risk source in the evaluation region, where n is the number of cumulative water environmental risk sources, and i is a serial number.

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (8):

$\begin{array}{cc}{\mathrm{SFW}}_{x,y}=\frac{{\mathrm{FW}}_{x,y}-{\mathrm{FW}}_{\min }}{{\mathrm{FW}}_{\max }-{\mathrm{FW}}_{\min }}\times 100& \left(8\right)\end{array}$

In Formula (8), SFW_x,y is a standardized cumulative water environmental risk field intensity of the grid (x, y); FW_max is a maximum value of water environmental risk field intensities of all grids in the evaluation region; and FW_min is a minimum value of the water environmental risk field intensities of all the grids in the evaluation region.

Since the situation of a risk source is integrally considered, the calculated cumulative water environmental risk field intensity index is more scientific and accurate, laying a foundation for accurate cumulative environmental risk evaluation.

Illustratively, an environmental risk index of the cumulative water environmental risk source in Formula (7) is used for representing the degree of a potential cumulative hazard caused by the risk source. The environmental risk index of the cumulative water environmental risk source mainly includes a storage chemical substance risk source index and an emission pollutant risk source index. Emission pollutants include heavy metals and volatile organic compounds.

The storage chemical substance risk source index includes a storage chemical substance ecological health index and a population health index. A calculation mode of the ecological health index is: multiplying an existing quantity of each water-related risk substance of the risk source by a corresponding BCF, and then summing. If the water-related risk substance does not have the BCF, a water environment ecological health influence is not considered.

A calculation mode of the population health index is: multiplying an existing quantity of each water-related risk substance of the risk source by a corresponding oral carcinogenic slope factor, and then summing. If the substance does not have the oral carcinogenic slope factor, a water environment population health influence is not considered.

A calculation mode of the emission pollutant risk source index is: dividing an annual emission of each heavy metal and petroleum substance in wastewater emissions by a corresponding wastewater emission concentration standard, and then summing.

In order to make the index of each part in the same interval range, a natural logarithm is taken for each part, standardization processing is performed by using a range method, the natural logarithm is adjusted to be within a range of 0-100, and all parts are finally added and summed to obtain the cumulative water environmental risk source index of the risk source.

An environmental risk management and control level index of the cumulative water environmental risk source in Formula (7) represents the effectiveness of policies, measures, technologies, and the like for reducing the cumulative environmental risk of the risk source. The environmental risk management and control level index of the cumulative water environmental risk source may be quantitatively evaluated by adopting a scoring method, and evaluation indicators are shown in Table 2:

TABLE 2
Enterprise Cumulative Water Environmental Risk Management
and Control Level Indicators and Evaluation
Evaluation
Indicators	Evaluation Classification Condition	Weight	Score
Closure	Heavy metals and petroleum	¼	30
measure	substances are not involved
condition	Heavy metals and petroleum		60
	substances are involved, which
	satisfy: (1) an environmental
	risk unit is provided with anti-
	leakage, anti-corrosion, anti-leaching,
	and anti-loss measures;
	(2) a drainage switching valve
	is arranged outside a device
	cofferdam and a tank farm
	fire dike (cofferdam), a valve
	leading to a rainwater system
	is normally turned off, and a
	valve leading to an accident
	liquid storage pool, an emergency
	accident water pool, a clean
	wastewater emission buffer pool,
	or a sewage treatment
	system is turned on; and (3) the
	foregoing measures are good
	in daily management and
	maintenance, and there is a special
	person responsible for valve
	switching or an automatic
	switching facility is arranged to
	ensure that initial rainwater,
	leakages and polluted fire-fighting
	water are discharged into a
	sewage system
Monitoring	Heavy metals and petroleum		100
condition	substances are involved, and any
of heavy	of the requirements above is not met
metals and	Heavy metals and petroleum	¼	25
petroleum	substances are not involved
substances	Heavy metals and petroleum		50
	substances are involved, and are
	monitored on line
	Heavy metals and petroleum		75
	substances are involved, and are
	subjected to enterprise self-test
	or entrusted monitoring or
	supervised monitoring
	Heavy metals and petroleum		100
	substances are involved without
	any monitoring
Risk	No production wastewater	¼	30
prevention	is generated or discharged
and control	Wastewater is discharged, and		60
measures	any of the requirements below is
of	met: (1) polluted circulating
production	cooling water, rainwater, fire
wastewater	water, and the like are discharged
treatment	into a production wastewater
system	system or an independent
	treatment system; (2) a monitoring
	pool is arranged before the
	production wastewater is
	discharged, and unqualified
	wastewater can be sent to a
	wastewater processing facility
	for treatment; (3) if polluted
	clean wastewater or rainwater
	of an enterprise enters a
	wastewater processing system
	for treatment, an accident water
	buffering facility should
	be arranged in the wastewater
	processing system; and (4) a
	monitoring and closing facility for
	a general production wastewater
	discharge port is provided, and
	there is a special person responsible
	for opening and closing to
	ensure that leakages, polluted
	fire-fighting water and
	unqualified wastewater are
	not discharged outside the plant
	Wastewater is discharged, and any of the		100
	requirements above is not met
Emission	Heavy metals and petroleum	¼	30
of heavy	substances are not involved
metals and	Emission concentrations of		60
petroleum	heavy metals and petroleum
substances	substances reach the standard
and	Emission concentrations of		100
information	heavy metals and petroleum
of reaching	substances do not reach the standard
standard

The obtained scores of all the indicators are accumulated, the environmental risk management and control level index of the cumulative water environmental risk source of the risk source is determined, and then the obtained scores are standardized.

3) Cumulative soil environmental risk field intensity index (FS): the cumulative atmosphere environmental risk field intensity and the water environmental risk field intensity in the grid are superposed and calculated, and then standardized to obtain a final cumulative soil environmental risk field intensity of the grid, and a calculation method is shown in Formula (9):

FS _x,y =FA _x,y +FW _x,y   (9)

In Formula (9), FS_x,y is a cumulative soil environmental risk field intensity of a grid (x, y); FA_x,y is a cumulative atmosphere environmental risk field intensity of the grid (x, y); and FW_x,y is a cumulative water environmental risk field intensity of the grid (x, y).

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (10):

$\begin{array}{cc}{\mathrm{SFS}}_{x,y}=\frac{{\mathrm{FS}}_{x,y}-{\mathrm{FS}}_{\min }}{{\mathrm{FS}}_{\max }-{\mathrm{FS}}_{\min }}\times 100& \left(10\right)\end{array}$

In the formula (10), SFS_x,y is a standardized cumulative soil environmental risk field intensity of a grid (x, y); FS_max is a maximum value of cumulative soil environmental risk field intensities of all grids; and FS_min is a minimum value of the cumulative soil environmental risk field intensities of all the grids.

Since soil medium is poor in fluidity, and pollutants are relatively easy to accumulate, the soil medium is indispensable in cumulative environmental risk evaluation. Therefore, in the method of the present disclosure, the soil medium is included in the evaluation scope. Since the ways for pollutants to enter a soil environment include atmospheric dry and wet sedimentation, groundwater pollution, and the like, the mechanism is complex, and data is difficult to obtain, the method of the present disclosure determines a simplified calculation method of a cumulative soil environmental risk field intensity based on an idea of a maximum credible accident so as to reduce the underestimation of the cumulative soil environmental risk under high uncertainty. According to the method of the present disclosure, an environmental risk of soil is integrally considered, so that the environmental risk evaluation is more comprehensive and accurate.

(2) A cumulative environmental risk control mechanism index (M) of each grid unit is calculated: cumulative environmental risk control mechanism indexes of three environmental media are respectively calculated, including a cumulative atmosphere environmental risk control mechanism index (MA), a cumulative water environmental risk control mechanism index (MW), and a cumulative soil environmental risk control mechanism index (MS).

1) The cumulative atmosphere environmental risk control mechanism index (MA) is quantified by adopting a scoring method, and the evaluation indicators are shown in Table 3:

TABLE 3
Cumulative Atmosphere Environmental Risk Control
Mechanism Evaluation Indicators
Evaluation	Description
Indicators	of Indicators	Evaluation Basis	Weight	Score
Investment	Percentage	The proportion of	¼	100
proportion	of	regional exhaust gas
of	amount of	control investment to GDP
regional	investment	is less than 0.025%
exhaust gas	in	The proportion of		75
control	industrial	regional exhaust gas
	exhaust gas	control investment
	control per	to GDP is more
	year in an	than or equal to 0.025%
	administrative	and less than 0.05%
	region	The proportion of		50
	where	regional exhaust gas
	a grid is	control investment
	located in	to GDP is more
	GDP	than or equal to
		0.05% and less than
		0.075%
		The proportion of		25
		regional exhaust gas
		control investment
		to GDP is more
		than or equal to 0.075%
Environ-	Quantity	The quantity ratio	¼	100
mental	ratio	of environmental
management	of	managers to pollution
law	environ-	source enterprises in an
enforcement	mental	administrative region
investment	managers	where a grid is located
of	to	is less than 1
regional	pollution	The quantity ratio		75
enterprises	source	of environmental
	enterprises	managers to pollution
	in an	source enterprises in an
	admin-	administrative region
	istrative	where a grid is located
	region where	is more than or
	a grid is	equal to 1 and
	located	less than 1.7
		The quantity ratio		50
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 1.7 and
		less than 2.5
		The quantity ratio		25
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 2.5
Regional	Ratio of	The ratio of the	¼	100
enterprise	number of	number of enterprises
violations	enterprises	recorded with
	recorded	gas-related violations is
	with	more than 75%
	gas-related	The ratio of the		75
	violations to	number of enterprises
	total number	recorded with
	of enterprises	gas-related violations is
	in an	more than 50% and
	administrative	less than or equal
	region where	to 75%
	a grid is	The ratio of the		50
	located	number of enterprises
		recorded with
		gas-related violations is
		more than 25% and
		less than or equal
		to 50%
		The ratio of the		25
		number of enterprises
		recorded with
		gas-related violations is
		less than or
		equal to 25%
Letters and	Number of	The number of	¼	100
visits and	letters and	letters and visits and
complaints	visits and	complaints in an
on	complaints	administrative region
regional	in an	where a grid is
environmental	administrative	located is more than
issues	region where	39,000
	a grid is	The number of		75
	located	letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		32,000 and less than
		or equal to 39,000
		The number of		50
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		25000 and less than
		or equal to 32000
		The number of		25
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is less than or
		equal to 25,000

The obtained scores of all the indicators are accumulated, and a cumulative atmosphere environmental risk control mechanism index M_x,y in the grid (x, y) is determined. If the evaluated grid (x, y) spans different administrative regions and scores of cumulative atmosphere environmental risk control mechanisms of the administrative regions are inconsistent, the highest score is taken as a final score.

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (11):

$\begin{array}{cc}{\mathrm{SMA}}_{x,y}=\frac{{\mathrm{MA}}_{x,y}-{\mathrm{MA}}_{\min }}{{\mathrm{MA}}_{\max }-{\mathrm{MA}}_{\min }}\times 100& \left(11\right)\end{array}$

In Formula (11), SMA_x,y represents a standardized cumulative atmosphere environmental risk control mechanism index of a grid (x, y), MA_min represents a minimum value of cumulative atmosphere environmental risk control mechanism indexes of all grids, and MA_max represents a maximum value of the cumulative atmosphere environmental risk control mechanism indexes of all grids. Illustratively, a percentage system is adopted in the design of the scores of the evaluation indicators. Therefore, in an actual operation, standardization may not be needed. The standardization is used for unification, making the result more accurate.

2) The cumulative water environmental risk control mechanism index (MW) is quantified by adopting a scoring method, and evaluation indicators are shown in Table 4. If the type of the grid is not a water body, i.e., T(x,y) corresponding to a grid (x, y) is equal to 0, the evaluation of a water environmental risk control mechanism of the grid is stopped.

TABLE 4
Cumulative Water Environmental Risk Control Mechanism
Evaluation Indicators
Evaluation	Description of
Indicators	Indicators	Evaluation Basis	Weight	Score
Investment	Percentage of	The proportion of	¼	100
proportion	amount of	regional wastewater
of	investment in	control investment
regional	industrial	to GDP is less than
wastewater	wastewater	0.009%
control	control per	The proportion of		75
	year in an	regional wastewater
	administrative	control investment
	region where a	to GDP is more
	grid is located	than or equal to
	in GDP	0.009% and less than
		0.017%
		The proportion of		50
		regional wastewater
		control investment
		to GDP is more
		than or equal to
		0.017% and less than
		0.025%
		The proportion of		25
		regional wastewater
		control investment
		to GDP is more
		than or equal to 0.025%
Environ-	Quantity	The quantity ratio	¼	100
mental	ratio	of environmental
management	of	managers to
law	environ-	pollution source
enforcement	mental	enterprises in an
investment	managers to	administrative region
of	pollution	where a grid is
regional	source	located is less than 1
enterprises	enterprises in	The quantity ratio		75
	an	of environmental
	administrative	managers to
	region where a	pollution source
	grid is located	enterprises in an
		administrative region
		where a grid is
		located is more than or
		equal to 1 and
		less than 1.7
		The quantity ratio		50
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 1.7 and
		less than 2.5
		The quantity ratio		25
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 2.5
Regional	Ratio of	The ratio of the	¼	100
enterprise	number of	number of enterprises
violations	enterprises	recorded with
	recorded with	water-related violations
	water-related	is more than 75%
	violations to	The ratio of the		75
	total	number of enterprises
	number of	recorded with
	enterprises in	water-related violations
	an	is more than 50%
	administrative	and less than or
	region where a	equal to 75%
	grid is located	The ratio of the		50
		number of enterprises
		recorded with water-
		related violations
		is more than 25%
		and less than or
		equal to 50%
		The ratio of the		25
		number of enterprises
		recorded with water-
		related violations
		is less than or
		equal to 25%
Letters and	Number of	The number of letters	¼	100
visits and	letters and	and visits and
complaints	visits and	complaints in an
on	complaints	administrative region
regional	in an	where a grid is
environmental	administrative	located is more than
issues	region where a	39,000
	grid is located	The number of		75
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		32,000 and less
		than or equal to
		39,000
		The number of		50
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		25000 and less than
		or equal to 32000
		The number of		25
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is less than or
		equal to 25,000

The scores of all the indicators are accumulated, and a cumulative water environmental risk control mechanism index MW_x,y in the grid (x, y) is determined. If the evaluated grid (x, y) spans different administrative regions and scores of cumulative water environmental risk control mechanisms of the administrative regions are inconsistent, the highest score is taken as a final score.

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (12):

$\begin{array}{cc}{\mathrm{SMW}}_{x,y}=\frac{{\mathrm{MW}}_{x,y}-{\mathrm{MW}}_{\min }}{{\mathrm{MW}}_{\max }-{\mathrm{MW}}_{\min }}\times 100& \left(12\right)\end{array}$

In Formula (12), SMW_x,y represents a standardized cumulative water environmental risk control mechanism index of a grid (x, y), MA_min represents a minimum value of cumulative water environmental risk control mechanism indexes of all grids, and MA_max represents a maximum value of the cumulative water environmental risk control mechanism indexes of all grids. Illustratively, a percentage system is adopted in the design of the scores of the evaluation indicators. Therefore, in an actual operation, standardization may not be needed. The standardization is used for unification, making the result more accurate.

3) The cumulative soil environmental risk control mechanism index (MS) is quantified by adopting a scoring method, and evaluation indicators are shown in Table 5.

TABLE 5
Cumulative Soil Environmental Risk Control
Mechanism Evaluation Indicators
Evaluation	Description
Indicators	of Indicators	Evaluation Basis	Weight	Score
Investment	Percentage of	The proportion of	¼	100
proportion	amount of	regional solid waste
of	investment in	control investment
regional	industrial solid	to GDP is less than
industrial	waste control	0.0001%
solid waste	per year in an	The proportion of		75
control	administrative	regional solid waste
	region where a	control investment
	grid is located	to GDP is more
	in GDP	than or equal to
		0.0001% and less
		than 0.0018%
		The proportion of		50
		regional solid waste
		control investment
		to GDP is more
		than or equal to
		0.0018% and less
		than 0.0035%
		The proportion of		25
		regional solid waste
		control investment
		to GDP is more
		than or equal
		to 0.0035%
Environ-	Quantity ratio	The quantity ratio	¼	100
mental	of	of environmental
management	environmental	managers to
law	managers to	pollution source
enforcement	pollution	enterprises in an
investment	source	administrative region
of	enterprises in	where a grid is
regional	an	located is less than 1
enterprises	administrative	The quantity ratio		75
	region where a	of environmental
	grid is located	managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 1 and
		less than 1.7
		The quantity ratio		50
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 1.7 and
		less than 2.5
		The quantity ratio		25
		of environmental
		managers to
		pollution source
		enterprises in an
		administrative region
		where a grid is located
		is more than or
		equal to 2.5
Regional	Ratio of	The ratio of the	¼	100
enterprise	number of	number of enterprises
violations	enterprises	recorded with soil-
	recorded with	related violations is
	soil-related	more than 75%
	violations to	The ratio of the		75
	total number	number of enterprises
	of	recorded with soil-
	enterprises in	related violations is
	an	more than 50% and
	administrative	less than or equal
	region where a	to 75%
	grid is located	The ratio of the		50
		number of enterprises
		recorded with soil-
		related violations is
		more than 25% and
		less than or equal
		to 50%
		The ratio of the		25
		number of enterprises
		recorded with soil-
		related violations is
		less than or equal to 25%
Letters and	Number of	The number of	¼	100
visits and	letters and	letters and visits and
complaints	visits and	complaints in an
on	complaints in	administrative region
regional	an	where a grid is
environmental	administrative	located is more than
issues	region where a	39,000
	grid is located	The number of		75
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		32,000 and less than or
		equal to 39,000
		The number of		50
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is more than
		25000 and less than
		or equal to 32000
		The number of		25
		letters and visits and
		complaints in an
		administrative region
		where a grid is
		located is less than or
		equal to 25,000

The scores of all the indicators are accumulated, and a cumulative soil environmental risk control mechanism index MS_x,y in the grid (x, y) is determined. If the evaluated grid (x, y) spans different administrative regions and scores of cumulative soil environmental risk control mechanisms of the administrative regions are inconsistent, the highest score is taken as a final score.

A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (13):

$\begin{array}{cc}SM{S}_{x,y}=\frac{M{S}_{x,y}-M{S}_{\min }}{M{S}_{\max }-M{S}_{\min }}\times 100& \left(13\right)\end{array}$

In Formula (13), SMS_x,y represents a standardized cumulative soil environmental risk control mechanism index of a grid (x, y), MS_min represents a minimum value of cumulative soil environmental risk control mechanism indexes of all grids, and MS_max represents a maximum value of the cumulative soil environmental risk control mechanism indexes of all grids. Illustratively, a percentage system is adopted in the design of the scores of the evaluation indicators. Therefore, in an actual operation, standardization may not be needed. The standardization is used for unification, making the result more accurate.

It can be seen that in the embodiment of the present disclosure, an adopted scoring table is used for evaluating the performance of regional atmosphere environmental risk management and control in the aspects of fund and personnel investment, management effect, and the like, is not limited to a single indicator, and more comprehensively reflects the level of atmosphere, water and soil environmental risk control mechanisms. The indicators in the table are independent of information of exposure data and exposure response relationships, and data is readily available. The reason why an average weight is adopted is that the importance of each score indicator is similar, and if a difference weight is set, the subjectivity is strong, the complexity of the method is greatly increased, and the difficulty of the actual operation is increased. The average weight method can avoid influence on evaluation accuracy caused by over subjectivity. A general framework of an indicator system is consistent with that of atmosphere and water, and reflects the consistency of evaluation, and some indicators also highlight the specificity of a medium and reflect the accuracy of evaluation. Meanwhile, the cumulative soil environmental risk is integrally considered, so that the evaluation is more scientific and comprehensive.

(3) A cumulative environmental risk receptor index (V) of each grid is calculated: cumulative environmental risk receptor indexes of three media are respectively calculated, including a cumulative atmosphere environmental risk receptor index (VA), a cumulative water environmental risk receptor index (VW), and a cumulative soil environmental risk control mechanism index (VS).

1) The cumulative atmosphere environmental risk receptor index (VA) is calculated by using Formulas (14)-(16).

$\begin{array}{cc}{\mathrm{VA}}_{x,y}=\sqrt{p_{x,y}\times v_{x,y}}& \left(14\right)\\ p_{x,y}=\frac{{\mathrm{pop}}_{x,y}-{\mathrm{pop}}_{\min }}{{\mathrm{pop}}_{\max }-{\mathrm{pop}}_{\min }}& \left(15\right)\\ v_{x,y}=\frac{{\tilde{v}}_{x,y}-v_{\min }}{v_{\max }-v_{\min }}& \left(16\right)\end{array}$

In Formulas (14)-(16), VA_x,y is a cumulative atmosphere environmental risk receptor index of a grid (x, y); p_x,y is a standardized population index of the grid (x, y); pop_x,y is the population in the grid (x, y); pop_max is a 99-quantile population value (with an extreme value removed) of all grids; pop_min is a minimum value of population of all the grids; v_x,y is a standardized wind speed index of the grid (x, y); {tilde over (v)}_x,y is an average wind speed (m/s) in the grid (x, y); v_max is a 99-quantile wind speed (with an extreme value removed) (m/s) of all the grids; and v_min is a minimum value (m/s) of wind speeds of all the grids. A result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (17):

$\begin{array}{cc}{\mathrm{SVA}}_{x,y}=\frac{{\mathrm{VA}}_{x,y}-{\mathrm{VA}}_{\min }}{{\mathrm{VA}}_{\max }-{\mathrm{VA}}_{\min }}\times 100& \left(17\right)\end{array}$

In Formula (17), SVA_x,y represents a standardized cumulative atmosphere environmental receptor index of a grid (x, y), VA_min represents a minimum value of cumulative atmosphere environmental receptor indexes of all grids, and VA_max represents a maximum value of the cumulative atmosphere environmental receptor indexes of all grids.

2) The cumulative water environmental risk receptor index (VW) is quantified by adopting a scoring method, and evaluation indicators are shown in Table 6. If the type of the grid is not a water body, i.e., T(x,y) corresponding to a grid (x, y) is equal to 0, the evaluation of a water environmental risk receptor of the grid is stopped.

TABLE 6
Cumulative Water Environmental Risk Receptor Index Evaluation Table
Target	Indicator	Evaluation Basis	Weight	Score
Cumulative	River, lake	Grid through which	½	100
water	and	a first-level river,
environ-	reservoir	lake and reservoir pass
mental	level	Grid through which		80
risk receptor		a second-level
vulnerability		river, lake and reservoir pass
index		Grid through which		60
		a third-level river,
		lake and reservoir pass
		Grid through which		40
		a fourth-level
		river, lake and
		reservoir pass
		Grid through which		20
		a fifth-level river,
		lake and reservoir pass
	Water	Grid through which	½	100
	body	a river, lake and
	functional	reservoir of class-I water pass
	region	Grid through which		80
		a river, lake and
		reservoir of class-II water pass
		Grid through which		60
		a river, lake and
		reservoir of class-III water pass
		Grid through which		40
		a river, lake and
		reservoir of class-IV water pass
		Grid through which		20
		a river, lake and
		reservoir of class-V-below
		water pass

The scores of all the indicators are accumulated, and a cumulative water environmental risk receptor index VW_x,y in the grid (x, y) is determined. A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (18):

$\begin{array}{cc}S{W}_{x,y}=\frac{V{W}_{x,y}-V{W}_{\min }}{V{W}_{\max }-V{W}_{\min }}\times 100& \left(18\right)\end{array}$

In Formula (18), SVW_x,y represents a standardized cumulative water environmental receptor index of a grid (x, y), VW_min represents a minimum value of cumulative water environmental receptor indexes of all grids, and VW_max represents a maximum value of the cumulative water environmental receptor indexes of all grids. Illustratively, a percentage system is adopted in the design of the scores of the evaluation indicators. Therefore, in an actual operation, standardization may not be needed. The standardization is used for unification, making the result more accurate.

When a scoring table is constructed, a water body level and a water body function are selected as evaluation indicators. Therefore, resource conditions and borne human activity intensity of a water environment receptor are integrally evaluated from the perspective of the water body level and function, so that the integrated evaluation is carried out, and the evaluation result is more scientific and accurate.

3) The cumulative soil environmental risk receptor index (VS) is quantified by adopting a scoring method, and evaluation indicators are shown in Table 7.

TABLE 7
Cumulative Soil Environmental Risk Receptor Index Evaluation Table
Target	Indicator	Description	Weight	Score
Cumulative	Land use type	Grid with cultivated land	½	100
soil		Grid with urban and rural,		80
environmental		industrial and mining, and
risk receptor		residential land
index		Grid with grassland		60
		Grid with forest land		40
		Grid with unused land type		20
	Soil property	Clay	½	100
		Loam		60
		Sandy soil		30

The scores of all the indicators are accumulated, and a cumulative soil environmental risk receptor index VS_x,y in the grid (x, y) is determined. A calculation result is standardized by a range method and adjusted to be within a range of 0-100 as shown in Formula (19):

$\begin{array}{cc}{\mathrm{SVS}}_{x,y}=\frac{{\mathrm{VS}}_{x,y}-{\mathrm{VS}}_{\min }}{{\mathrm{VS}}_{\max }-{\mathrm{VS}}_{\min }}\times 100& \left(19\right)\end{array}$

In Formula (19), SVS_x,y represents a standardized cumulative soil environmental receptor index of a grid (x, y), VS_min represents a minimum value of cumulative soil environmental receptor indexes of all grids, and VS_min represents a maximum value of the cumulative soil environmental receptor indexes of all grids. Illustratively, a percentage system is adopted in the design of the scores of the evaluation indicators. Therefore, in an actual operation, standardization may not be needed. The standardization is used for unification, making the result more accurate.

In the constructed scoring table, the human activity intensity to a soil environmental receptor and pollutant diffusion property are integrally evaluated from the aspects of land use type and soil property, so that the integrated evaluation is carried out, and the evaluation result is more scientific and accurate.

(4) The cumulative environmental risk index (RC) of each grid unit is calculated

In the calculation of the cumulative environmental risk index, three aspects of risk source, risk control mechanism and risk receptor should be considered comprehensively to obtain an integrated score. For each grid unit, two aspects of cumulative environmental risk indexes need to be considered, including a cumulative environmental risk index of a single environmental medium and a cumulative integrated environmental risk index integrating all environmental media.

When the cumulative environmental risk index of various environmental media is calculated, the calculation method adopts the following formula (20):

$\begin{array}{cc}{\mathrm{RC}}_k=\sqrt[3]{{\mathrm{SF}}_k\times {\mathrm{SV}}_k\times {\mathrm{SM}}_k},k=1\dots m,& \left(20\right)\end{array}$

where RC_k represents a cumulative environmental risk index corresponding to a k^th environmental medium of a certain grid, SF_k represents a cumulative environmental risk field intensity index corresponding to the k^th environmental medium of the certain grid, SM_k represents a cumulative environmental risk control mechanism index corresponding to the k^th environmental medium of the certain grid, SV_k represents a cumulative environmental risk receptor index corresponding to the k^th environmental medium of the certain grid, k is a serial number, and m represents that there are m environmental media. Illustratively, in general, SF_k, SV_k, and SM_k adopt standardized values, and illustratively, certain means one of them.

In the embodiment of the present disclosure, there are three environmental media including atmosphere, water and soil. Therefore, it can be seen that the value of m is 3, and then:

1) A calculation formula (21) of the cumulative atmosphere environmental risk index of each grid is as follows:

$\begin{array}{cc}RC{A}_{x,y}=\sqrt[3]{{\mathrm{SFA}}_{x,y}\times {\mathrm{SVA}}_{x,y}\times {\mathrm{SMA}}_{x,y}}& \left(21\right)\end{array}$

In Formula (21), RCA_x,y is a cumulative atmosphere environmental risk index of a grid (x, y); SFA_x,y is a standardized cumulative atmosphere environmental risk field intensity index of the grid (x, y); SVA_x,y is a standardized cumulative atmosphere environmental risk receptor index of the grid (x, y); and SVA_x,y is a standardized cumulative atmosphere environmental risk control mechanism index of the grid (x, y). Illustratively, if an index indicated by SFA_x,y, SVA_x,y, or SMA_x,y is within a set score range before standardization, e.g., 0-100, the corresponding index value may also use non-normalized data.

2) A calculation formula (22) of the cumulative water environmental risk index of each grid is as follows:

$\begin{array}{cc}{\mathrm{RCW}}_{x,y}=\sqrt[3]{{\mathrm{SFW}}_{x,y}\times {\mathrm{SVW}}_{x,y}\times {\mathrm{SMW}}_{x,y}}& \left(22\right)\end{array}$

In Formula (22), RCW_x,y is a cumulative water environmental risk index of a grid (x, y); SFW_x,y is a standardized cumulative water environmental risk field intensity index of the grid (x, y); SVW_x,y is a standardized cumulative water environmental risk receptor index of the grid (x, y); and SMW_x,y is a cumulative water environmental risk control mechanism index of the grid (x, y). Illustratively, if an index indicated by SFW_x,y, SVW_x,y, or SMW_x,y is within a set score range before standardization, e.g., 0-100, the corresponding index value may also use non-normalized data.

3) A calculation formula (23) of the cumulative soil environmental risk index of each grid is as follows:

$\begin{array}{cc}{\mathrm{RCS}}_{x,y}=\sqrt[3]{{\mathrm{SFS}}_{x,y}\times {\mathrm{SVS}}_{x,y}\times {\mathrm{SMS}}_{x,y}}& \left(23\right)\end{array}$

In Formula (23), RCS_x,y is a cumulative soil environmental risk index of a grid (x, y); SFS_x,y is a standardized cumulative soil environmental risk field intensity of the grid (x, y); SVS_xy is a standardized cumulative soil environmental risk receptor index of the grid (x, y); and SMS_x,y is a standardized cumulative soil environmental risk control mechanism index of the grid (x, y). Illustratively, if an index indicated by SFS_x,y, SVS_x,y, or SMS_x,y is within a set score range before standardization, e.g., 0-100, the corresponding index value may also use non-normalized data.

The cumulative integrated environmental risk index integrating all the environmental media is calculated by superposing the cumulative risk indexes of all the environmental media using a Euclidean vector norm calculation method. A general calculation formula is as shown in Formula (24):

$\begin{array}{cc}\mathrm{RC}=\sqrt[5]{\sum _{k=1}^m{\mathrm{RC}}_k^5},& \left(24\right)\end{array}$

where RC represents a cumulative integrated environmental risk index of a grid, RC_k represents a cumulative environmental risk index corresponding to a k^th environmental medium of the grid, k is a serial number, and m represents categories of environmental media in the grid.

Therefore, if there are three environmental media including atmosphere, water and soil in the embodiment of the present disclosure, the calculation method of the cumulative integrated environmental risk index is as follows:

$\begin{array}{cc}RC=\sqrt[5]{{\mathrm{RCA}}_{x,y}^5+{\mathrm{RCW}}_{x,y}^5+{\mathrm{RCS}}_{x,y}^5}& \left(25\right)\end{array}$

In Formula (25), environmental risks of different media are superposed, so as to ensure that the division of the superposed integrated environmental risk is in a reasonable environmental risk grade, and the discrimination of the superposed environmental risk index is maintained. Therefore, cumulative environmental risks of various environmental media are integrated, so that a cumulative environmental risk of an evaluation region is scientifically and accurately evaluated.

(5) Cumulative environmental risk division and environmental risk map drawing are performed

According to Table 8, the cumulative environmental risk of the evaluation region is subjected to grade division, grids with different RC scores are divided into different environmental risk grades, and then a grade state of the cumulative environmental risk of each grid in the evaluation region is determined.

TABLE 8
Cumulative Environmental Risk Grade Division Standard
Cumulative Environmental Risk Index Environmental
(Atmosphere/Water/Soil/Integrated) Risk Grade
≥80                              Very High (VH)
[50, 80)                         High (H)
[40, 50)                         Relatively High
                                 (RH)
[30, 40)                         Medium (M)
<30                              Low (L)

According to the grade division results of the cumulative environmental risks of all the grids, spatial representation is performed on the cumulative environmental risk grades of the evaluation grids by adopting different colors with a GIS spatial representation technology, and environmental risk maps are respectively drawn by adopting a risk visualization unit of the cumulative environmental risk evaluation system. The environmental risk maps include a cumulative atmosphere environmental risk map, a cumulative water environmental risk map, a cumulative soil environmental risk map, and a cumulative integrated environmental risk map. By grading the cumulative environmental risk indexes of the evaluation region and displaying the cumulative environmental risk situation in the evaluation region in a risk map according to the divided grade, scientific environmental risk management of the evaluation region is realized.

In order to further illustrate the accuracy of the method of the present disclosure, the environmental risk is evaluated according to the cumulative integrated environmental risk index in combination with the grades divided in Table 8. The method for calculating a cumulative integrated environmental risk index by adopting the method provided by the present disclosure is compared with a traditional method which mostly adopts Euclidean 2-norm (i.e., square root of sum of squares).

The cumulative atmosphere environmental risk index, the cumulative water environmental risk index, and the cumulative soil environmental risk index are taken as lower limit values of each grade, respectively, as shown in Table 9.

TABLE 9
Comparison of Method of the Present Disclosure with Traditional Method
Cumulative	Cumulative	Cumulative	Method
Atmosphere	Water	Soil	of the	Traditional
Environmental	Environmental	Environmental	Present	Method
Risk Index	Risk Index	Risk Index	Disclosure	(2-Norm)
30	30	30	37.37	51.96
40	40	40	49.83	69.28
50	50	50	62.29	86.60

As can be seen from Table 9, when the cumulative atmosphere, water and soil environmental risk indexes are all 30, which are the lowest values of Grade-medium (M), the score of the cumulative integrated environmental risk index should also be located at Grade-medium (M). The score of the cumulative integrated environmental risk index calculated by using the method of the present disclosure is 37.37, just within an interval of Grade-medium (M). The score of the cumulative integrated environmental risk index calculated by the traditional method is 51.96, which falls within an interval of Grade-relatively high (RH). When the cumulative atmosphere, water and soil environmental risk indexes are all 40, which are the lowest values of Grade-relatively high (RH), the score of the cumulative integrated environmental risk index should also be located at Grade-relatively high (RH). The score of the cumulative integrated environmental risk index calculated by using the method of the present disclosure is 49.83, just within an interval of Grade-relatively high (RH). The score of the cumulative integrated environmental risk index calculated by the traditional method is 69.28, which falls within an interval of Grade-high (H). When the cumulative atmosphere, water and soil environmental risk indexes are all 50, which are the lowest values of Grade-high (H), the score of the cumulative integrated environmental risk index should also be located at Grade-high (H). The score of the cumulative integrated environmental risk index calculated by using the method of the present disclosure is 62.29, just within an interval of Grade-high (H). The score of the cumulative integrated environmental risk index calculated by the traditional method is 86.60, which falls within an interval of Grade-very high (VH). Therefore, it can be seen that the grade of the cumulative environmental risk is overestimated and the discrimination of the superimposed environmental risk indexes is difficult to maintain due to the inaccurate calculation of the traditional method. By using the method of the present disclosure, the grade of the cumulative environmental risk can be accurately estimated and the discrimination of the superimposed environmental risk indexes can be maintained.

By using the method of the present disclosure, the cumulative environmental risk evaluation is performed on Nanjing District, and the specific process is as follows:

In step 1, evaluation region determination, data collection, and grid division are performed: the whole district of Nanjing is selected as an evaluation region, relevant data is collected, and a resolution of 1 km×1 km is adopted for grid division.

In step 2, a grid c is selected, and a standardized cumulative atmosphere environmental risk field intensity index SFA_c, water environmental risk field intensity index SFW_c, and soil environmental risk field intensity index SFS_c of the grid unit are calculated.

Cumulative atmosphere environmental risk field intensity index SFA_c: the region has 20 atmospheric pollution sources, a distance between risk source 1 and the grid unit c is less than 1 km, u₁=1, and an atmosphere environmental risk field intensity index of risk source 1 in the grid unit c is 50. Risk field intensity indexes from 20 risk sources to the grid unit c are sequentially calculated and finally summed to obtain SFA_c=60.

Cumulative water environmental risk field intensity index SFW_c: the grid unit has no water body, so SFW_c=0.

Cumulative soil environmental risk field intensity index SFS_c: in this case, the cumulative soil environmental risk field intensity index is equal to the cumulative atmosphere environmental risk field intensity index, i.e., SFS_c is 60.

In step 3, a cumulative environmental risk control mechanism index (M) of the grid unit c is calculated: with reference to evaluation indicators, a cumulative atmosphere environmental risk control mechanism index MA_c, a cumulative water environmental risk control mechanism index MW_c, and a cumulative soil environmental risk control mechanism index MS_c are calculated as 25, 0, and 50, separately, and are standardized. Of course, since the values are all within a range of 0-100, they may not be standardized.

In step 4, a cumulative environmental risk receptor index (V) of the grid unit c is calculated: in the grid unit c, the population is 500, pop_max is 2,000, pop_min is 10, pop_c is calculated as 0.25, v_c is calculated as 0.4 similarly, and then a cumulative atmosphere environmental risk receptor index VA_c is 0.32, and then standardized to obtain a result of 40. With reference to evaluation indicators, a cumulative water environmental risk receptor index VW_c is calculated as 0 and a cumulative soil environmental risk control mechanism index VS_c is calculated as 70.

In step 5, a cumulative environmental risk index (RC) of the grid unit c is calculated: the index including cumulative environmental risk indexes corresponding to various environmental media and a cumulative integrated environmental risk index are calculated with reference to Formulas (21)-(25) to obtain RCA_c of 40, RCW_c of 0, RCS_c of 60, and RC of 61.50.

In step 6, cumulative environmental risk division and map drawing are performed according to Table 8: according to step 5, the cumulative environmental risk of the grid belongs to Grade-high (H), after the cumulative environmental risk indexes of all grid units are calculated by repeating steps 2-5, the grids are characterized by adopting different colors on a map with reference to grading standard ratings, and the result is shown in FIG. 3.

The regional gridding cumulative environmental risk evaluation method based on the risk field of the present disclosure is used for cumulative environmental risk evaluation using a constructed evaluation system. The cumulative environmental risk can be scientifically evaluated and managed by the evaluation system. According to the evaluation method, a cumulative environmental risk index evaluation model is constructed from a cumulative environmental risk field intensity, a cumulative environmental risk control mechanism, and a cumulative environmental risk receptor respectively based on a risk field theory, and grade division is performed according to a score of a cumulative environmental risk index, so that a cumulative environmental risk grade of the evaluation region is determined, and a visual map is drawn, thereby realizing the evaluation and visualization of the regional gridding cumulative environmental risk. The evaluation method is independent of information of exposure data and exposure response relationships, so that the cumulative environmental risk can be evaluated macroscopically. Therefore, the method is high in universality, and is more scientific and accurate in evaluation compared to the traditional method, thereby providing a scientific method for the cumulative environmental risk evaluation, and enriching the cumulative environmental risk evaluation theory.

The foregoing embodiments are merely exemplary implementations of the present disclosure. It should be noted that a person of ordinary skill in the art may make some improvement and equivalent replacement without departing from the principle of the present disclosure, and such technical solutions making improvement and equivalent replacement to the claims of the present disclosure shall fall within the protection scope of the present disclosure.

Claims

1. A regional gridding cumulative environmental risk evaluation system based on a risk field, comprising a processor, a memory that stores operational instructions that executed by the processor, wherein the processor comprising a data acquisition unit, an evaluation analysis unit, and a risk visualization unit, the memory comprising a data storage unit;the data acquisition unit is configured to acquire environmental risk related data in an evaluation region;the data storage unit is configured to store the environmental risk related data acquired by the data acquisition unit;the evaluation analysis unit is provided with a plurality of sub-evaluation analysis units according to categories of environmental media, and is configured to evaluate a cumulative environmental risk of each environmental medium and evaluate a cumulative integrated environmental risk integrating all the environmental media; andthe risk visualization unit is configured to generate a cumulative environmental risk map and visually display a cumulative environmental risk condition in the evaluation region.

2. The regional gridding cumulative environmental risk evaluation system based on the risk field according to claim 1, wherein the evaluation analysis unit comprises: a cumulative atmosphere environmental risk evaluation analysis unit, configured to evaluate a cumulative atmosphere environmental risk; a cumulative water environmental risk evaluation analysis unit, configured to evaluate a cumulative water environmental risk;a cumulative soil environmental risk evaluation analysis unit, configured to evaluate a cumulative soil environmental risk; anda cumulative integrated risk evaluation unit, configured to evaluate a cumulative integrated environmental risk integrating atmosphere, water, and soil.

3. A regional gridding cumulative environmental risk evaluation method based on a risk field, for cumulative environmental risk evaluation using the cumulative environmental risk evaluation system according to claim 1, specifically comprising: determining an evaluation region, performing grid division on the evaluation region, collecting environmental risk related data comprising pollution condition data, environmental management statistical data, and geographic information data in the evaluation region using a data acquisition module, and storing the environmental risk related data in the data storage unit;establishing, for a plurality of environmental media, a cumulative environmental risk index evaluation model based on a cumulative environmental risk field intensity index, a cumulative environmental risk control mechanism index, and a cumulative environmental risk receptor index, and placing the cumulative environmental risk index evaluation model in the evaluation analysis unit for evaluating the cumulative environmental risks, the cumulative environmental risk index evaluation model comprising cumulative environmental risk indexes corresponding to various environmental media and a cumulative integrated environmental risk index integrating all the categories of environmental media, and a method for calculating the cumulative integrated environmental risk index being:

4. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 3, wherein a method for calculating the cumulative environmental risk indexes corresponding to various environmental media is:

5. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 3, wherein the environmental media comprise water, atmosphere, and soil, and the corresponding cumulative environmental risk field intensity indexes comprise: a cumulative atmosphere environmental risk field intensity index, a cumulative water environmental risk field intensity index, and a cumulative soil environmental risk field intensity index; the corresponding cumulative environmental risk control mechanism indexes comprise: a cumulative atmosphere environmental risk control mechanism index, a cumulative water environmental risk control mechanism index, and a cumulative soil environmental risk control mechanism index; andthe corresponding cumulative environmental risk receptor indexes comprise: a cumulative atmosphere environmental risk receptor index, a cumulative water environmental risk receptor index, and a cumulative soil environmental risk receptor index.

6. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 5, wherein a method for calculating the cumulative atmosphere environmental risk field intensity index is:

7. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 5, wherein after a grid is determined as a water body, the cumulative water environmental risk field intensity index is calculated according to the following formula:

8. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 5, wherein a method for calculating the cumulative soil environmental risk field intensity index is: FSx,y=FAx,y+FWx,y wherein FSx,y is a cumulative soil environmental risk field intensity index of a grid (x, y); FAx,y is a cumulative atmosphere environmental risk field intensity index of the grid (x, y); FWx,y is a cumulative water environmental risk field intensity index of the grid (x, y); and x and y are coordinates of the grid.

9. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 5, wherein the cumulative atmosphere environmental risk control mechanism index, the cumulative water environmental risk control mechanism index, the cumulative soil environmental risk control mechanism index, the cumulative water environmental risk receptor index, and the cumulative soil environmental risk receptor index are determined by a scoring method, evaluation indicators of various environmental media are determined and assigned with weights and scores, such that quantification is performed, and various indicator scores are integrated to calculate a score of each index.

10. The regional gridding cumulative environmental risk evaluation method based on the risk field according to claim 3, wherein the pollution condition data comprises basic information of a pollution enterprise, violation condition and characteristic pollutant monitoring, waste discharge and treatment, and storage of dangerous chemicals; the environmental management statistical data comprises environmental governance investment, environmental management law enforcement investment, and environmental problem letters and visits and complaint conditions; andthe geographic information data comprises water body distribution, terrain elevation data, meteorological data, population distribution, and land use types.