Patent Application
20160042305
This application claims the priority of Taiwanese patent application No. 103126788, filed on Aug. 5, 2014, which is incorporated herewith by reference.
1. Field of the Invention
The present invention relates generally to an environment risk sorting system, and more particularly an environment risk sorting system for controlling abandoned plants which cause environmental pollution.
2. The Prior Arts
Industrial pollution is one major cause for underground water pollution, since wastes or pollutants are directly or indirectly discharged into the ground without adequate treatment to remove harmful compounds. Some abandoned plants cause high environment risk to the ground upon which the plants are built prior to shutdown or abandonment. The currently running plants or plants need more attention since they constantly generate environment risk if no proper environment safety measurement is taken during the running period, and the land left by those abandoned plants may be contaminated. So that an environment risk sorting system is required to effectively sorting each of the abandoned plants as the basis for follow-up investigation for controlling the abandoned plants.
A conventional way of sorting abandoned plants causing high environment risk includes fetching the recorded basic information stored within a computer set and evaluating the basic information so as to generate a risk evaluation result for each abandoned plant, which in turn, produces an environment site evaluation list. Since the environment site evaluation list includes names of abandoned plants and location sites, it is taken as the basis for follow-up investigation and management of the location sites. It is noted the earlier basic information of the abandoned plants are recorded not in properly arranged system or lacking some important factor such an environment risk level defined by evaluating base on the former may consist some potential environment risk and hence will not be a perfect one owing to exclusion of the on-spot environment site evaluation information. In addition, the conventional way, each piece of plant information is inputted into the single computer set, then only the follow-up evaluation process can be conducted, and the investigation result is fetched only through that single computer set, thereby inconveniencing the user.
Therefore, the conventional way of environment risk sorting cannot handle a tremendously large amount of record information and incomplete information leads to waste of human labor, time, cost and hence the management of material, needs to be upgraded urgently.
The object of the present invention is to provide an environment risk sorting system that can eliminate the above-mentioned drawbacks resulted from the use of the conventional environment risk sorting way and that can update a plant environment database so as generate on-spot data of each abandoned plant, thereby obtaining an environment risk evaluation result substantially similar to the present condition. In addition, the environment risk sorting system of the present invention is capable of fetching, analyzing and storing several pieces of environment risk sorting data within a plant environment database so as to generate an environment risk evaluation result to supply an investigator and a management recorder, where under different analyzing procedures result in the environment risk evaluation result or data, thereby facilitating the follow-up management and investigation.
An environment risk sorting system of the present invention for controlling abandoned plants which cause environmental pollution, includes: a plant environment database for storing several pieces of environment risk data; a risk sorting server coupled with the plant environment database for updating the several pieces of environment risk data; a managing server coupled with the risk sorting server, wherein, the risk sorting server executes and generates through a first risk evaluation module, based on the several pieces of environment risk data, a first risk evaluation result for each abandoned plant, which produces an environmental site evaluation list, through which, an environmental site evaluation data of each abandoned plant and on-spot environmental site evaluation data are obtained, and updating through a second risk evaluation module succeeding environment risk data based on the environmental site evaluation data of each abandoned plant and hence generating a second risk evaluation result for each abandoned plant, which, in turn, produces an investigation list of each abandoned plant as a basis for follow-up investigation.
The environment risk sorting system of the present invention is capable of conducting a conditional sorting procedure based on the environment risk data so as to classify the abandoned plants into different groups.
Preferably, the risk sorting server is capable of storing the environment site evaluation data and the on-spot environment risk data into the environment risk database.
The risk sorting server preferably includes a first risk evaluation module and a second risk evaluation module.
The risk sorting server preferably includes an input/output interface for receiving the environment site evaluation data and the on-spot environment risk data and outputting the environment site evaluation list and the investigated list to the managing server.
The environment risk data preferably includes pollution potential factor data and environment factor data.
In the present invention, the risk sorting server is coupled to a value computing server, wherein, the value computing server is further coupled to a pollution factor database so as to compute out the pollution potential factor data for supplying to the risk sorting server.
The environment risk sorting system of the present invention further includes a geographic analyzing server coupled to the risk sorting server, a transfer factor database and a risk factor receptor database respectively connected to the geographic analyzing server so as to obtain the environment factor data after analyzing process for transmitting to the risk sorting server.
Preferably, the value computing server further includes a value computing module or the geographic analyzing server further includes a geographic analyzing module, wherein the value computing module generates the pollution potential factor data based on the pollution potential factor while the geographic analyzing module generates the environment factor data based on the transfer factor data and the transfer receptor factor data.
The value computing server is preferably coupled to a pollution factor database so as to fetch data therefrom and generates the pollution potential factor data for storing within the plant environment database.
The risk sorting server further includes a value computing module which generates the pollution potential factor data after computing process based on the pollution potential factor.
The risk sorting server is further coupled to the transfer factor database and the risk factor receptor database to obtain the environment factor data for storing within the plant environment database.
The environment risk sorting system of the present invention further includes a geographic analyzing module coupled to the risk sorting server, wherein the geographic analyzing module obtains the environment factor data after analyzing transfer factor data and risk factor receptor data.
The risk sorting server further includes a statistics module for generating a risk evaluation result, which generates a statistic table after fetching data from the risk sorting server and a drawing module for generating, based on the risk evaluation result and the statistic table, an environmental risk evaluation map.
The risk evaluation result preferably includes a first risk evaluation result and a second risk evaluation result.
The risk sorting server is capable of fetching data from the plant environment database, the pollution factor database, the transfer factor database or the risk factor receptor database.
The drawing module generates, based on an investigated progress and management data supplied by the managing server, an investigated scope map, which includes a plurality of digitally shown location areas, each with a specific scope representing the investigated progress and management data.
The managing server includes a management recorder for recording the investigated progress and management data, and for fetching the environmental site evaluation list, the investigation list, the statistic table or the environmental risk evaluation map from the risk sorting server.
The managing server preferably includes a management record system for recording the investigated progress and management data, and for fetching the environmental site evaluation list, the investigation list, the statistic table or the environmental risk evaluation map from the risk sorting server.
The first risk evaluation result includes a first risk evaluation value, from which, a first risk level is defined, wherein, the environment site evaluation list is defined based on the first risk level.
The second risk evaluation result includes a second risk evaluation value, from which, a second risk level is defined, wherein, the investigation list is defined based on the second risk level.
Since the environment risk sorting system of the present invention is capable of fetching, analyzing and storing data within and from the plant environment database, thereby obtaining the updated data from the database and the on-spot data of the abandoned plants and generating the environment risk evaluation result substantially similar to the current ones. In addition, the environment risk sorting system of the present invention permits an investigator to enter the management record system to classify the abandoned plants into different groups so as to facilitate the follow-up investigation for the specific group with lesser pollution, thereby avoiding the undesired investigation process.
The present invention will be apparent to those skilled in the art by reading the following detailed description of a preferred embodiment thereof, with reference to the attached drawings, in which:
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.
A pollution potential factor database 140 is used for storing and providing the pollution potential factor data. Preferably, the pollution potential factor data includes plant site area (A1), year of running (A2), former record for air, water, waste and poisonous substances (A3), number of transfer owners (A4), potential ground water pollution (A5gw), potential soil pollution (A5soil), amount of discharged polluted water into the ground (Bgw), amount of soil pollution (Bsoil), human toxicity potential groundwater pollution (HTPgw) and human toxicity potential soil pollution (HTPsoil).
A transfer factor database 150 is used for storing and providing transfer factor data. Preferably, the transfer factor data includes infiltration amount factor (C1), topography factor (C2), soil medium factor (C3), ventilation layer medium factor (C4), hydraulic conductivity coefficient factor (C5), groundwater depth factor (C6) and aquifer medium factor (C7).
A risk factor receptor database 160 is used for storing and providing risk factor receptor data. Preferably, the risk factor receptor data includes population density factor (D1), soil/sediment contact risk factor (D2) and groundwater contact risk factor (D3).
A value computing server 111 fetches data from the pollution potential factor database 140 to generate after computing the pollution potential factor data.
A geographic analyzing server 112 is coupled respectively to the transfer factor database 150 and the risk factor receptor database 160 for analyzing the data fetched therefrom so as to generate the environment factor data after analyzing process for transmitting to the risk sorting server 110.
The risk sorting server 110, as shown in
The managing server 130 is coupled with the risk sorting server 110, fetches data from the plant environment database 120, the pollution potential factor database 140, the transfer factor database 150 and the risk factor receptor database 160. Alternately, the managing server 130 fetches the first and second risk evaluation results from the risk sorting server 110. In addition, the managing server 130 further includes a management recorder 170 for legally recording the investigated progress and management data and for fetching data therefrom.
Preferably, the management recorder 170 includes investigated progress and management data. To be more specific, the investigated progress and management data include names of investigators and specific site or region, into which the specific investigator enters a certain time period for conducting the inspection, thereby providing effective management to the abandoned plants.
The managing server 130 further includes a management record system 180 to permit the investigators 190 to enter and can see the investigated progress and management data. Preferably, the investigated progress and management data include number of abandoned plants at specific site or region, number of abandoned plants being investigated, evaluation degree and are supplied to the management recorder 170.
In other words, the investigator 190 is capable of fetching the investigated progress and management data, the environment site evaluation data or the on-spot environment risk data from the management recording system 180 so as to supply the same to the managing server 130 or the risk sorting server 110.
Prior to the step S10, the risk sorting server 110 fetches the pollution potential factor data from the value computing server 111 and stores the same in the plant environment database 120, which is analyzed by the geographic analyzing server 112 so as to obtain the environment factor data, that is stored within the plant environment database 120, thereby establishing the plant environment database 120 having the environment risk data for each abandoned plant.
In the step S20, using the first risk evaluation module to generate, based on the environment factor data and the potential pollution data from the plant environment database, the first risk evaluation result for each abandoned plant and the environment site evaluation list, wherein the first risk evaluation result in fact is a first risk evaluation value (T1) and a first risk level defined by the first risk evaluation value (T1). In this embodiment, the first risk evaluation value (T1) is computed from the following equation 1:
T
1−(Sgw,1+Ssoil,1)×F (1)
In the above equation, Sgw,1 is a first underground water environment risk factor; Ssoil,1 is a first soil environment risk factor; and F is a weighting factor. Assuming the weighting factor F=1.5, the first underground water environment risk factor Sgw,1 and the first soil environment risk factor Ssoil,1 can be computed respectively from the equations (2) and (3);
S
gw,1=√{square root over ((Pgw,22+Cgw2+Dgw2)/3)} (2)
S
soil,1=√{square root over ((Psoil,12+Csoil2+Dsoil2)/3)} (3)
In the above equation, Pgw,1 and Psoil,1 respectively represent the first underground water and potential soil pollution factors; Cgw and Csoil respectively stand for underground water and soil environment transfer factor; and Dgw and Dsoil respectively represent underground water and soil pollution receptor factor. According to the environment risk data, the first underground water Pgw,1 and the first potential soil pollution factor Psoil,1 from the equations (2) and (3) can be computed from the following equations (4) and (5). However, owing to different running operation of the plants and time differences, the total sum for the potential pollution value of each abandoned plant is:
P
gw,1=Σ[(A1×A2×Bgw×I1×(1+A3)×I2)(1+A4×I3+I4)×I5×(1+A5gw)×HTPgw]×I6 (4)
P
soil,1=Σ[(A1×A2×Bsoil×I1×(1+A3)×I2)(1+A4×I3I4)×I5×(1+A5soil)×HTPsoil]×I6 (5)
The underground water and soil environment transfer factors Cgw and Csoil from equations (2) and (3) can be computed from the following equations (6) and (7);
C
gw
=C
1
+C
5
+C
6
+C
7 (6)
C
soil
=C
2
±C
3
±C
4 (7)
The underground water Dgw and the soil pollution receptor factor Dsoil of equations (2) and (3) can be computed from the following equations (8) and (9);
D
gw
=D
1
+D
3 (8)
D
soil
=D
1
+D
2 (9)
The corresponding value for the previous air pollution, water pollution, waste, poisonous chemical record factors (A3) are shown in table 1, the corresponding value of plant transfer time factor (A4), if transfer of the plant ownership take place once 1, if there is no transfer of plant ownership 0; the corresponding value for infiltration amount factor (C1), topographical factor (C2), soil medium factor (C3) and ventilation layer medium factor (C4) are shown in table 2; the corresponding value for hydraulic conductivity factor (C5), groundwater depth factor (C6) and aquifer medium factor (C7) are shown in table 3; and the corresponding value for population density factor (D1), soil/sediment contact risk factors (D2), and groundwater risk contact factor (D3) are shown respectively in tables 4˜6.
0~1.5
15~22.5
wherein, the first risk evaluation value (T1) of the abandoned plants, and the accumulated of first risk level are shown in table 7. The high risk level and scope is 90% greater than the accumulated first risk evaluation value, i.e., the first risk evaluation value (T1) ranges 60˜100; the middle high risk level is 50%˜90 greater than the accumulated first risk evaluation value, i.e., the first risk evaluation value (T1) ranges 40˜59, the middle risk level is greater than 10˜50% of the accumulated first risk evaluation value, i.e., the first risk evaluation value (T1) ranges 30˜39 while the low risk level is 10% smaller than the accumulated first risk evaluation value, i.e., the first risk evaluation value (T1) ranges 0˜29.
In the environment site evaluation step S30, the investigator fetches the environment site evaluation list through the management record system, which generates the environment site evaluation data and the on-spot environment risk data. Then, the environment site evaluation data and the on-spot environment risk data are stored within the plant environment database via the managing server 130 and the risk sorting server 120. In addition, when the on-spot environment risk data does not match with the environment risk data stored within the plant environment database 120, the environment risk data within the plant environment database 120 are updated based on the on-spot environment risk data. Table 8 illustrates comparing of the environment risk data before and after updating. In one embodiment of the environment site evaluation step S30, the former environment risk data are replaced by the updated environment risk data, as shown in Table 8, and the corresponding factor data of the updated environment risk data includes plant running quality factor (I1), plant facilities factor (I2), history of plant relocation factor (I3), previous environmental spill or accident factor (I4), pollution potential factor (I5) and change in land or land quality inspection rating factor (I6). The on-spot environment risk data preferably includes at least one potential site pollution factor data, at least one transfer factor data or at least one risk factor receptor data.
In the second risk evaluation step S40: the investigator fetches the updated environment risk data and the environment site evaluation data from the plant environment database 120 via the second risk evaluation module so as to compute out the second risk evaluation result for each abandoned plant, wherein the second risk evaluation result in fact is the second risk evaluation value (T2), from which the second risk level is defined. The second risk evaluation value (T2) can be computed from the following equation 10:
T
2=(Sgw,2+Ssoil,2)×F (10)
wherein, Sgw,2 is a second groundwater environment risk factor; Ssoil,2 is the second soil environment risk factor; F is the weighting factor, in one embodiment it is assumed as 1.5. The second groundwater environment risk factor Sgw,2 and the second soil environment risk factor Ssoil,2 of the above equation (10) can be computed from the following equations (11) and (12) respectively:
S
gw,2=√{square root over ((Pgw,22+Cgw2+Dgw2)/3)} (11)
S
soil,2=√{square root over ((Psoil,22+Csoil2+Dsoil2)/3)} (12)
wherein, Pgw,2 and Psoil,2 respectively represent the second ground water and the second soil potential pollution factor; Cgw and Csoil respectively represent ground water and soil environment transfer factor; Dgw and Dsoil respectively represent ground water and soil pollution receptor factors. The second ground water Pgw,2 and the second soil pollution potential factor Psoil,2 of the above equations (11) and (12) are based on the updated environment risk data and the environment site risk evaluation data and can be computed from the following equations (13) and (14), wherein owing to different running operation of the plants and time differences, the total sum for the potential pollution value of each abandoned plant is:
P
gw,2=Σ[(A1×A2×Bgw×I1×(1+A3)×I2)(1+A4×I3+I4)×I5×(1+A5gw)×HTPgw]×I6 (13)
P
soli,2=Σ[(A1×A2×Bsoil×I1×(1+A3)×I2)(1+A4×I3+I4)×I5×(1+A5soil)×HTPsoil]×I6 (14)
wherein, the evaluated ways of the updated environment risk data and the previous environment risk data and the evaluated value of the environment site evaluation factor data (I1˜I5) are shown in the following Table 9. An important aspect to note is that for the common knowledge in this technical field, Table 9 clearly shows the sorting level and recycling of the value of environment site evaluation is likely happened. Preferably, the value of environment site evaluation data of the present invention is determined by professional persons, who possess the following qualifications (1) professional technicians possessing environment engineering, applied geology, geotechnical engineering practice license; (2) persons having more than three years, soil or groundwater pollution investigation after completing at least Master Degree from public or private university or independent college recognized by the Ministry of Education or foreign university in engineering or site assessment of relevant work experience; and (3) persons having more than five years in soil or groundwater pollution investigation after graduating in the engineering, agriculture, medicine field from public or private university recognized by the Ministry of Education or foreign university or relevant work experience. More preferably, the previously mentioned persons should have been trained through the government agency in charge of environmental protection, and have passed or completed the test concerning environmental protection.
In the risk managing step S50, an investigation list of each abandoned plant is generated based on the second risk evaluation result as a basis for follow-up investigation. Firstly, the investigation list is defined based on the second risk level and the second risk evaluation value (T2), that is a high risk investigation list is defined when the second risk evaluation value (T2) ranges 60˜100%, a middle high risk investigation list is defined when the second risk evaluation value (T2) ranges 40˜59%; a middle risk investigation list is defined when the second risk evaluation value (T2) ranges 30˜39% and a low risk investigation list is defined when the second risk evaluation value (T2) ranges 0˜29%. Afterward, based those investigation lists, the following Table 10 is drawn as a basis for follow-up investigation, wherein plant A . . . I indicates code for abandoned plant. In addition, the management recorder 170 fetches the investigated progress and management data via the managing server 130 such that the investigator 190 can fetch via the management record system 180 the investigated progress and management data from the managing server 130, thereby updating them. Table 10 is an example of an investigation list and managing plan.
As shown in
A pollution potential database 340 is used for storing the pollution potential factor data. Preferably, the pollution potential factor data includes plant area (A1), plant running year (A2), the previous air pollution, water pollution, waste, poisonous record factors (A3), plant transfer time factor (A4), potential ground water pollution factor (A5gw) of a respective plant, potential soil pollution factor (A5soil), amount of discharged polluted water into the ground (Bgw), amount of soil pollution (Bsoil), human toxicity potential groundwater pollution (HTPgw) and human toxicity potential soil pollution (HTPsoil).
A transfer factor database 350 is used for storing transfer factor data, which preferably includes infiltration amount factor (C1), topography factor (C2), soil medium factor (C3), ventilation layer medium factor (C4), hydraulic conductivity coefficient factor (C5), groundwater depth factor (C6) and aquifer medium factor (C7).
A risk factor receptor database 360 is used for storing and providing risk factor receptor data. Preferably, the risk factor receptor data includes population density factor (D1), soil/sediment contact risk factor (D2) and groundwater contact risk factor (D3).
A shown in
A managing server 330 is coupled with the risk sorting server 310, fetches data from the plant environment database 320, the pollution potential factor database 340, the transfer factor database 350 and the risk factor receptor database 360. Alternately, the managing server 330 fetches the first and second risk evaluation results from the risk sorting server 110. In addition, the managing server 330 further includes a management recorder 370 and a management recording system 380.
The management recorder 370 fetches the data via the managing server 330 or provides the investigation progress and the management data to the managing server 330.
Alternately, the investigator 390 is capable of entering the managing server 330 and fetching data and hence providing the investigated progress and management data the managing server 330.
The investigator 390 is capable of fetching data from the managing sever 330 via the management recording system 380 and after investigation provides the investigated progress and management data, the environment site evaluation data or the on-spot environmental site evaluation data to the managing server 330 or the risk sorting server 310.
The steps for environment risk sorting operation in the second embodiment of the environment risk sorting system of the present invention are best shown in
Preferably, the risk sorting server 110, 210, 310 or 410 includes a sorting module for conducting a conditional sorting procedure prior to the step S10, based on location area of the environment risk data, stories of the abandoned plant, to classify the abandoned plants into different groups, so as to serve as follow-up investigation for the specific group with lesser pollution, thereby avoiding the undesired investigation process. For instance, the abandoned plant concerns metal industry, having a surface area 1378 square meter, registered in 1995, abandoned in 2003, the registered address is No. XXX, 4F, X road and etc. According to the environmental risk data, the above abandoned plant is included in the middle high risk list based on the first risk evaluation result, a further investigation is needed. Since the abandoned plant is located at 4th floor, there should not be any soil or water pollution potential data. Owing to the merit of conditional sorting procedure, the above mentioned plants can be re-classified into another groups, thereby avoiding the environment risk evaluation resulted from the first risk evaluation list.
In one embodiment of the present invention, the risk sorting server 110, 210, 310 or 410 further includes a statistics module for generating a risk evaluation result, which generates a statistic table after fetching data from the risk sorting server, wherein, the risk evaluation result include the first risk evaluation result and the second risk evaluation result. The data fetched from the risk sorting server can be also from one of the plant environment database, the pollution factor database, the transfer factor database or the transfer receptor factor database. The investigator can look into the statistic table based on the conditional sorting procedure. The risk sorting server 110, 210, 310 or 410 further includes a drawing module for generating, based on the risk evaluation result and the statistic table, an environmental risk evaluation map, as shown in
Although the present invention has been described with reference to the preferred embodiments thereof, it is apparent to those skilled in the art that a variety of modifications and changes may be made without departing from the scope of the present invention which is intended to be defined by the appended claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 103126788 | Aug 2014 | TW | national |
