CN113205245A - Method and system for evaluating bearing capacity of regional ecological environment - Google Patents
Method and system for evaluating bearing capacity of regional ecological environment Download PDFInfo
- Publication number
- CN113205245A CN113205245A CN202110432708.4A CN202110432708A CN113205245A CN 113205245 A CN113205245 A CN 113205245A CN 202110432708 A CN202110432708 A CN 202110432708A CN 113205245 A CN113205245 A CN 113205245A
- Authority
- CN
- China
- Prior art keywords
- overload
- evaluation data
- early warning
- result
- bearing capacity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000011156 evaluation Methods 0.000 claims abstract description 158
- 238000004458 analytical method Methods 0.000 claims abstract description 59
- 238000011161 development Methods 0.000 claims abstract description 37
- 230000008569 process Effects 0.000 claims abstract description 35
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 29
- 230000007613 environmental effect Effects 0.000 claims abstract description 18
- 238000013507 mapping Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 9
- 230000036541 health Effects 0.000 description 8
- 230000008859 change Effects 0.000 description 7
- 238000010276 construction Methods 0.000 description 6
- 238000013473 artificial intelligence Methods 0.000 description 4
- 239000003344 environmental pollutant Substances 0.000 description 4
- 244000144972 livestock Species 0.000 description 4
- 239000002689 soil Substances 0.000 description 4
- 231100000719 pollutant Toxicity 0.000 description 3
- 241001465754 Metazoa Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 108091092568 Alarmone Proteins 0.000 description 1
- 241000209504 Poaceae Species 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005195 poor health Effects 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of ecological environment assessment, and aims to provide a regional ecological environment bearing capacity assessment method and system, wherein the method comprises the steps of obtaining basic assessment data of land resources, water resources, environmental resources and an ecological system and special assessment data of regional development degree; comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively to obtain load results of the basic evaluation data and the special evaluation data; determining an overload result based on the load results of the basic evaluation data and the special evaluation data; and acquiring process evaluation data associated with resource environment loss, and performing early warning grade analysis on the overload result based on the process evaluation data to determine the early warning grade of the overload result. The problem of be difficult to carry out regional ecological environment bearing capacity aassessment, can't exert regional ecological environment bearing capacity value is solved, the application has the regional ecological environment bearing capacity aassessment of accurately carrying out, exerts regional ecological environment bearing capacity value's effect.
Description
Technical Field
The application relates to the technical field of ecological environment assessment, in particular to a method and a system for assessing the bearing capacity of a regional ecological environment.
Background
When the social economy develops at a high speed, the resource environment is greatly wasted and damaged, the resource environment constraint is increasingly intensified, and the method becomes an important bottleneck for the sustainable and rapid development of the economy. The resource environment bearing capacity is a key characterization index for the good development of the mountain, water, forest, field and lake. The method refers to the limit of the supporting capacity of a certain regional environment to human society and economic activities under a certain environmental state in a certain period.
By means of the evaluation index of the bearing capacity of the resource environment, short plates and influencing factors influencing the bearing of the resource environment can be deeply disclosed, the comprehensive bearing level of the resource environment is scientifically reflected, the bearing potential and the bearing direction of reasonable development and utilization of the land resources are determined, and scientific basis and foundation support are output for determining the overall planning target of land utilization, adjusting the scale of the index, optimizing the spatial layout and the structure and the like.
At present, when the bearing capacity of the regional ecological environment is evaluated, the related regional environment conditions are complex and changeable, the evaluation of the bearing capacity of the regional ecological environment is still in a research stage, how to evaluate the bearing capacity of the regional ecological environment is carried out, and the value of exerting the bearing capacity of the regional ecological environment is a problem which needs to be solved urgently.
In view of the above-mentioned related technologies, the applicant believes that there are defects that it is difficult to evaluate the bearing capacity of the regional ecological environment and the bearing capacity value of the regional ecological environment cannot be exerted.
Disclosure of Invention
In order to accurately evaluate the bearing capacity of the regional ecological environment and exert the value of the bearing capacity of the regional ecological environment, the application provides an evaluation method and a system of the bearing capacity of the regional ecological environment.
The method has the advantages that the regional ecological environment bearing capacity is accurately evaluated, and the regional ecological environment bearing capacity value is exerted.
The above object of the present application is achieved by the following technical solutions:
a method for evaluating the bearing capacity of a regional ecological environment, which comprises the following steps,
acquiring basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree;
comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively to obtain load results of the basic evaluation data and the special evaluation data;
determining an overload result based on the load results of the basic evaluation data and the special evaluation data;
acquiring process evaluation data associated with resource environment loss, performing early warning grade analysis on the overload result based on the process evaluation data, and determining the early warning grade of the overload result.
By adopting the technical scheme, the basic conditions of land resources, water resources and environmental resources and the health condition of an ecological system are evaluated to obtain basic evaluation data, and special evaluation data is obtained by combining the regional development degree to obtain influence parameter data for evaluating the bearing capacity of the regional ecological environment, so that the evaluation of the bearing capacity of the regional ecological environment is more accurate; presetting a load threshold, comparing the basic evaluation data and the special evaluation data with the preset load threshold respectively, determining the load results of the basic evaluation data and the special evaluation data according to the difference, and further determining an overload result to evaluate the ecological environment bearing capacity of the area; the method comprises the steps of obtaining process evaluation data associated with resource environment loss, carrying out early warning grade analysis based on an overload result, determining the early warning grade of the overload result, carrying out grade early warning on the overload condition, and facilitating workers to take corresponding measures according to the early warning grade to exert the value of the bearing capacity of the regional ecological environment.
The present application may be further configured in a preferred example to: and presetting an overload cause analysis model, wherein the overload cause analysis model obtains a cause factor of the overload result based on the overload result and the corresponding early warning level thereof.
By adopting the technical scheme, the overload cause analysis model obtains the cause factor corresponding to the overload result based on the overload result and the corresponding early warning level thereof, so as to analyze the overload cause, thereby being beneficial to the staff to take corresponding measures aiming at the overload cause and exerting the value of the bearing capacity of the regional ecological environment.
The present application may be further configured in a preferred example to: and according to preset policy measures, the overload cause analysis model outputs corresponding resource limitation measures based on the cause factors.
By adopting the technical scheme, the overload cause analysis model outputs the corresponding resource limitation measures based on the preset policy measures and cause factors, so that the overload pressure of ecological resources can be relieved by workers according to the resource limitation measures, and the value of the bearing capacity of the regional ecological environment can be exerted.
The present application may be further configured in a preferred example to: the overload result comprises three types, namely an overload type, a critical overload type and a normal load type.
By adopting the technical scheme, the overload type, the critical overload type and the normal load type are determined, so that the specific overload condition is combined to carry out targeted evaluation on the basic conditions of land resources, water resources and environmental resources and the health condition of an ecological system, and the evaluation on the bearing capacity of the regional ecological environment is more accurate.
The present application may be further configured in a preferred example to: the overload type is specifically as follows: and any one index overload or the combination of two or more index critical overloads in the load result of the basic evaluation data and the load result of the special evaluation data.
By adopting the technical scheme, the overload condition is comprehensively evaluated by combining the load result of the basic evaluation data and the load result of the special evaluation data, and the overload type is determined by combining any one index overload or the combination of two or more index critical overloads in the load result of the basic evaluation data and the load result of the special evaluation data, so that the evaluation result is more referential and the evaluation result is more accurate.
The present application may be further configured in a preferred example to: the step of performing an early warning level analysis of the overload result based on the process evaluation data includes,
presetting the process evaluation data to comprise an overload resource environment loss aggravation type, an overload resource environment loss slowing type, a critical overload resource environment loss aggravation type, a critical overload resource environment loss slowing type and a normal load which are sequentially arranged in combination with the overload result;
presetting the early warning grades as an extreme heavy alarm, a medium alarm, a light heavy alarm and a no alarm which are arranged in sequence;
and mapping the early warning grade analysis results one by one based on the arrangement sequence of the process evaluation data, wherein the earlier the process evaluation data is arranged, the earlier the early warning grade is arranged.
By adopting the technical scheme, the process evaluation data and the early warning grades are preset, the earlier the process evaluation data is sorted, the earlier the early warning grades are sorted, and the arrangement sequence of the process evaluation data is mapped to the early warning grade analysis results one by one so as to perform early warning grade analysis on the overload results.
The present application may be further configured in a preferred example to: before the early warning grades are ranked, the overload cause analysis model preferentially obtains the cause factors of the overload results corresponding to the early warning grades.
By adopting the technical scheme, the overload cause analysis model outputs the cause factors of the overload result according to the ranking of the early warning levels and the rules output before the ranking is cured, and is beneficial to helping workers to take relief measures to the areas with the urgent early warning levels more quickly.
The second purpose of the application is to provide an assessment system for the bearing capacity of the regional ecological environment, which has the characteristics of accurately assessing the bearing capacity of the regional ecological environment and exerting the value of the bearing capacity of the regional ecological environment.
The second application object of the present application is achieved by the following technical scheme:
an assessment system for bearing capacity of a regional ecological environment, the system comprising,
the data acquisition module is used for acquiring basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree;
the load result module is used for respectively comparing the basic evaluation data and the special evaluation data with a preset load threshold value to obtain the load results of the basic evaluation data and the special evaluation data;
the overload result module is used for determining an overload result based on the basic evaluation data and the load result of the special evaluation data;
and the early warning module is used for acquiring process evaluation data associated with resource environment loss, carrying out early warning grade analysis on the overload result based on the process evaluation data and determining the early warning grade of the overload result.
By adopting the technical scheme, the data acquisition module acquires the basic evaluation data of the basic conditions of land resources, water resources and environmental resources and the health conditions of the ecological system and the special evaluation data associated with the region development degree so as to evaluate the influence parameter data of the bearing capacity of the regional ecological environment, so that the evaluation of the bearing capacity of the regional ecological environment is more accurate; the load result module is used for presetting a load threshold, comparing the basic evaluation data and the special evaluation data with the preset load threshold respectively, and determining the load results of the basic evaluation data and the special evaluation data according to the difference; the overload result module is used for determining an overload result according to the load result so as to evaluate the bearing capacity of the ecological environment of the region; the early warning module is used for acquiring process evaluation data associated with resource environment loss, performing early warning grade analysis based on the overload result, determining the early warning grade of the overload result, performing grade early warning on the overload condition, and facilitating workers to take corresponding measures according to the early warning grade to exert the value of the bearing capacity of the regional ecological environment.
The present application may be further configured in a preferred example to: the system also comprises a cause analysis module, wherein the cause analysis module is used for presetting an overload cause analysis model, so that the overload cause analysis model obtains a cause factor of the overload result based on the overload result and the corresponding early warning grade thereof.
By adopting the technical scheme, the cause analysis module is used for inputting the overload result and the early warning level corresponding to the overload result into the overload cause analysis model based on the overload cause analysis model so as to obtain the cause factor corresponding to the overload result and analyze the overload cause, so that the overload cause analysis module is beneficial for workers to take corresponding measures aiming at the overload cause and exert the value of the bearing capacity of the regional ecological environment.
The present application may be further configured in a preferred example to: the system further comprises a resource limiting module, wherein the resource limiting module is used for enabling the overload cause analysis model to output corresponding resource limiting measures based on the cause factors and preset policy measures.
By adopting the technical scheme, the resource limiting module is used for inputting preset policy measures and cause factors into the overload cause analysis model based on the overload cause analysis model and outputting corresponding resource limiting measures, so that the resource limiting measures are favorably referred by workers to relieve the overload pressure of ecological resources and exert the value of the bearing capacity of the regional ecological environment.
In summary, the present application includes at least one of the following beneficial technical effects:
1. presetting a load threshold value based on the basic evaluation data and the special evaluation data, comparing the basic evaluation data and the special evaluation data with the preset load threshold value respectively, determining the load results of the basic evaluation data and the special evaluation data, and further determining an overload result, so that the evaluation of the bearing capacity of the regional ecological environment is more accurate; then, determining an early warning grade according to the process evaluation data and the overload result, and carrying out grade early warning on the overload condition, so that the working personnel can take corresponding measures in time to exert the value of the bearing capacity of the regional ecological environment;
2. the overload cause analysis model analyzes the overload cause based on the overload result and the corresponding early warning level thereof, so that the overload cause analysis model is beneficial for the staff to take corresponding measures aiming at the overload cause;
3. the overload cause analysis model outputs corresponding resource limiting measures based on preset policy measures and cause factors, and is beneficial for workers to relieve overload pressure of ecological resources by referring to the resource limiting measures;
4. the basic conditions of land resources, water resources and environmental resources and the health condition of an ecological system are subjected to targeted evaluation by combining with a specific overload condition, so that the evaluation of the bearing capacity of the regional ecological environment is more accurate;
5. and determining the combination of overload of any index or critical overload of two or more indexes in the load results of the basic evaluation data and the load results of the special evaluation data as an overload type, so that the evaluation result is more referential and more accurate.
Drawings
Fig. 1 is a schematic flow chart of the method for evaluating ecological environment bearing capacity in the area of the application.
Fig. 2 is a schematic diagram of the evaluation content of the bearing capacity of the regional ecological environment.
Fig. 3 is a block diagram of the system for evaluating the ecological environment bearing capacity in the area.
Detailed Description
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
Referring to fig. 1, the embodiment of the present application provides a method for evaluating the bearing capacity of a regional ecological environment, and the main steps of the method are described as follows.
And S1, acquiring basic evaluation data associated with land resources, water resources, environmental resources and ecosystems and special evaluation data associated with regional development degrees.
And S2, comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively to obtain the load results of the basic evaluation data and the special evaluation data.
And S3, determining an overload result based on the load results of the basic evaluation data and the special evaluation data.
And S4, acquiring process evaluation data associated with the resource environment loss, and performing early warning grade analysis on the overload result based on the process evaluation data to determine the early warning grade of the overload result.
S5: and presetting an overload cause analysis model, wherein the overload cause analysis model obtains a cause factor corresponding to the overload result based on the overload result and the early warning level corresponding to the overload result.
S6: and the overload cause analysis model outputs corresponding resource limitation measures according to the cause factors and preset policy measures.
Wherein the basic evaluation data comprises land resource data, water resource data, environment resource data and ecosystem data.
Referring to fig. 2, according to soil conditions of different regions, a grain safety bottom line, an ecological protection red line and unusable land are determined, and building and development suitability evaluation is performed on the remaining land to obtain a suitable construction land area, which is used as land resource data.
The water resource data refers to the utilization amount of water resources meeting the water quality standard requirement.
Environmental resource data is primarily reflected by the capacity of atmospheric and aqueous environments to contain typical pollutants.
The ecosystem data refers to the proportion of land area where ecological degradation such as water and soil loss, land desertification, salinization and stony desertification occur. And taking the ecosystem data as an evaluation index of the ecosystem health degree.
The special evaluation data comprises optimized development area data, key development area data and limited development area data which are classified according to the region development degree.
The optimized development area and the key development area are both referred to as urbanized areas. The optimized development area data and the key development area data are integrated by adopting the urban black and odorous water body pollution degree and the PM2. V standard exceeding condition, so that the urban black and odorous water body pollution degree and the PM2. V data are multiplied and then summed with preset weight values respectively, and the calculated result is used as an urban water-gas environment black-gray index to be used as a characteristic index to evaluate the optimized development area and the key development area, namely the optimized development area data or the key development area data.
The development limiting area data comprises two types of agricultural product main producing area data and key ecological function area data.
And evaluating the data of the main agricultural product producing area according to two types of planting areas and animal husbandry areas. And (3) evaluating the situation presented by the quality of the cultivated land by taking the quality change index of the cultivated land as a characteristic index for the data of the main agricultural product producing area in the planting area. And (3) evaluating whether grassland livestock are overloaded or not by taking the grassland livestock balance index as a characteristic index according to the data of the main agricultural product producing area in the pastoral area.
The key ecological functional area data comprises characteristic indexes of a water source conservation index, a water and soil loss index, a land desertification index and a habitat quality index, the water source conservation index, the water and soil loss index, the land desertification index and the habitat quality index are multiplied by preset weight values respectively and then summed, and a calculation result is used as key ecological functional area data to evaluate the function level of the ecological system.
After basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree are obtained, land resource data, water resource data, environmental resource data, ecosystem data, optimized development area data, key development area data, agricultural product main production area data and key ecological functional area data are respectively compared with a preset load threshold value.
Specifically, the land resource data is compared with the current construction land. When the comparison result is larger than the current construction land, the load is the normal load; when the comparison result is equal to the current construction land, the critical overload is determined; and when the comparison result is smaller than the current construction land, the vehicle is overloaded.
The water resource data is compared to the difference of the total water usage minus groundwater supply. When the comparison result is greater than the threshold value, the load is the normal load; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold, the overload is determined.
And after weighted evaluation is carried out on the capacity value of the atmosphere for typical pollutants and the capacity value of the water environment for typical pollutants, the capacity values are used as preset threshold values of the environmental resource data and are compared with the environmental resource data. When the comparison result is greater than the threshold value, the overload is determined; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold value, the load is the normal load.
Comparing the ecosystem data to the proportion of the ecorable area. When the comparison result is greater than the threshold value, the overload is determined; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold value, the load is the normal load. Overload means poor health of the ecosystem. Critical overload means the health of the ecosystem. Normal loading, i.e. ecosystem health, is good.
And comparing the black and gray index of the urban water-gas environment in the optimized development area with a preset optimized development area threshold value. When the comparison result is greater than the threshold value, the overload is determined; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold value, the load is the normal load.
And comparing the black and gray index of the urban water-gas environment in the key development area with a preset key development area threshold value. When the comparison result is greater than the threshold value, the overload is determined; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold value, the load is the normal load.
And respectively evaluating the data of the main agricultural product producing area in the planting area and the data of the main agricultural product producing area in the animal husbandry area. When the data of the agricultural product main producing area in the planting area is in an ascending trend and the grassland and grassland are in normal load, the load is normal load; the critical overload is determined if and only if the data of the agricultural product main producing area in the planting area is in one of a descending trend or the grassland and livestock overload; when the data of the main agricultural product producing area in the planting area is in a descending trend and grassland grasses and livestock are overloaded, the data is overloaded.
And comparing the key ecological functional area data with a preset key ecological functional area load threshold value. When the comparison result is greater than the threshold value, the overload is determined; when the comparison result is equal to the threshold overload; and when the comparison result is less than the threshold value, the load is the normal load.
Further, based on the load results of the basic evaluation data and the specific evaluation data, an overload result, i.e., a basic evaluation result, is determined. The overload result comprises three types, namely an overload type, a critical overload type and a normal load type. And determining the combination of overload of any one index or critical overload of two or more indexes in the load results of the basic evaluation data and the load results of the special evaluation data as an overload type. And determining the combination of the normal load of the load result of the basic evaluation data and the load result of the special evaluation data as the normal load type. And determining the load result of the basic evaluation data and the load result of the special evaluation data as a critical overload type when the combination of the load result of the basic evaluation data and the load result of the special evaluation data does not accord with the two conditions.
And after the overload result is determined, early warning grade division is carried out according to the determined overload type by combining process evaluation data. Wherein, the process evaluation data comprises a resource utilization efficiency change factor, a pollution discharge intensity change factor and an ecological quality change factor. Based on the resource utilization efficiency change factor, the pollution emission intensity change factor and the ecological quality change factor, the process evaluation data comprises five types of overload resource environment loss aggravation type, overload resource environment loss slowing type, critical overload resource environment loss aggravation type, critical overload resource environment loss slowing type and normal load which are sequentially arranged. In this embodiment, the early warning level may be five levels, and specifically may be divided into five levels of red early warning, orange early warning, yellow early warning, blue early warning, and green no-alarm areas, where the red early warning, orange early warning, yellow early warning, blue early warning, and green no-alarm areas respectively represent an extreme heavy alarm, a medium alarm, a light heavy alarm, and a no-alarm. And mapping five-level early warning levels of heavy alarm, medium alarm, light alarm and no alarm one by one according to the arrangement sequence of the five types of process evaluation data, wherein the earlier the process evaluation data is arranged, the earlier the early warning level is arranged.
Specifically, an overload area with intensified resource environment loss is determined as a red early warning area, and an extreme heavy alarm is represented; determining an overload area with gradual resource environment loss as an orange early warning area, and representing a re-warning; determining a critical overload area with intensified resource environment loss as a yellow early warning area, and representing a middle warning area; determining a critical overload area with gradual resource environment loss as a blue early warning area, and representing a light alarm and a heavy alarm; and determining the area without overload as a green no-alarm area to represent no-alarm.
The assessment method of the bearing capacity of the regional ecological environment further comprises the step of presetting an overload cause analysis model. Specifically, based on an open-source artificial intelligence model, firstly, resource environment improvement measures which are collected in advance and manually classified are recorded into the artificial intelligence model, so that the artificial intelligence model learns and summarizes the recorded resource environment improvement measures, meanwhile, by adopting methods such as factor analysis, hierarchical analysis, principal component analysis and the like, states and variation trends in aspects such as land resource pressure, water resource development and utilization, environmental pollutant concentration exceeding standard, ecological system health and the like are mainly analyzed, overload key factors and interaction degrees thereof are identified and quantitatively evaluated, and rules for analyzing the cause factors of the resource environments in different early warning levels are summarized from aspects such as natural endowment conditions, economic and social development, human development and utilization processes and current situations, resource and environmental management, system construction and the like. Until the accuracy of the cause factor reaches a preset value, in this embodiment, the preset value may be 85%. And then taking the trained artificial intelligence model as a preset overload cause analysis model, and carrying out cause analysis according to an overload result and a corresponding early warning grade.
And the overload cause analysis model obtains the cause factor of the overload result based on the overload result and the corresponding early warning level thereof. The cause factor is the overload reason, which is beneficial for the staff to take corresponding measures to relieve the overload pressure aiming at the overload reason so as to exert the value of the bearing capacity of the regional ecological environment.
Meanwhile, the earlier the early warning grades are sorted, the more preferentially the overload cause analysis model obtains the cause factor of the overload result corresponding to the early warning grade.
The overload cause analysis model outputs corresponding resource limitation measures based on preset policy measures and cause factors, pre-studies policy measures from aspects of finance, investment, industry, land, population, environment and the like aiming at the overload causes, explores differential limitation measures with different control strengths according to early warning levels, guides and restricts each area to carry out conspire development strictly according to the bearing capacity of the resource environment, and is further beneficial for workers to relieve the overload pressure of ecological resources by referring to the resource limitation measures and exert the value of the bearing capacity of the area ecological environment.
Referring to fig. 3, the embodiment of the present application further provides a system for evaluating the bearing capacity of the regional ecological environment, and the system specifically includes the following modules.
The data acquisition module is used for acquiring basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree.
And the load result module is used for comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively to obtain the load results of the basic evaluation data and the special evaluation data.
And the overload result module is used for determining an overload result based on the load results of the basic evaluation data and the special evaluation data.
And the early warning module is used for acquiring process evaluation data associated with resource environment loss, carrying out early warning grade analysis on the overload result based on the process evaluation data and determining the early warning grade of the overload result.
And the cause analysis module is used for presetting an overload cause analysis model, so that the overload cause analysis model obtains a cause factor of an overload result based on the overload result and the corresponding early warning level thereof.
And the resource limiting module is used for enabling the overload cause analysis model to output corresponding resource limiting measures based on the cause factors and preset policy measures.
Presetting a load threshold value based on the basic evaluation data and the special evaluation data; comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively, determining the load results of the basic evaluation data and the special evaluation data, and further determining the overload result; determining an early warning grade according to the process evaluation data and the overload result, and carrying out grade early warning on the overload condition; then, carrying out overload reason analysis based on the overload result and the corresponding early warning level thereof; providing corresponding resource limitation measures based on preset policy measures and cause factors; and then the evaluation method and the evaluation system of the bearing capacity of the regional ecological environment enable the evaluation of the bearing capacity of the regional ecological environment to be more accurate, and are beneficial for workers to take corresponding measures in time and exert the value of the bearing capacity of the regional ecological environment.
Claims (10)
1. The assessment method of the bearing capacity of the regional ecological environment is characterized by comprising the following steps,
acquiring basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree;
comparing the basic evaluation data and the special evaluation data with a preset load threshold respectively to obtain load results of the basic evaluation data and the special evaluation data;
determining an overload result based on the load results of the basic evaluation data and the special evaluation data;
acquiring process evaluation data associated with resource environment loss, performing early warning grade analysis on the overload result based on the process evaluation data, and determining the early warning grade of the overload result.
2. The method for assessing the bearing capacity of the regional ecological environment according to claim 1, wherein an overload cause analysis model is preset, and the overload cause analysis model obtains a cause factor of the overload result based on the overload result and a corresponding early warning level thereof.
3. The method as claimed in claim 2, wherein the overload cause analysis module outputs a corresponding resource restriction measure based on the cause factor according to a predetermined policy measure.
4. The method as claimed in claim 2, wherein the overload result includes three types, namely an overload type, a critical overload type and a normal load type.
5. The method for evaluating the bearing capacity of the regional ecological environment according to claim 4, wherein the overload types are specifically: and any one index overload or the combination of two or more index critical overloads in the load result of the basic evaluation data and the load result of the special evaluation data.
6. The method for evaluating the bearing capacity of the regional ecological environment according to claim 4, wherein the step of analyzing the overload result based on the process evaluation data comprises the steps of,
presetting the process evaluation data to comprise an overload resource environment loss aggravation type, an overload resource environment loss slowing type, a critical overload resource environment loss aggravation type, a critical overload resource environment loss slowing type and a normal load which are sequentially arranged in combination with the overload result;
presetting the early warning grades as an extreme heavy alarm, a medium alarm, a light heavy alarm and a no alarm which are arranged in sequence;
and mapping the early warning grade analysis results one by one based on the arrangement sequence of the process evaluation data, wherein the earlier the process evaluation data is arranged, the earlier the early warning grade is arranged.
7. The method as claimed in claim 6, wherein the overload cause analysis model obtains the cause factor of the overload result corresponding to the early warning level with higher priority before the early warning level is ranked.
8. The evaluation system of the bearing capacity of the regional ecological environment is characterized by comprising,
the data acquisition module is used for acquiring basic evaluation data associated with land resources, water resources, environmental resources and an ecosystem and special evaluation data associated with a region development degree;
the load result module is used for respectively comparing the basic evaluation data and the special evaluation data with a preset load threshold value to obtain the load results of the basic evaluation data and the special evaluation data;
the overload result module is used for determining an overload result based on the basic evaluation data and the load result of the special evaluation data;
and the early warning module is used for acquiring process evaluation data associated with resource environment loss, carrying out early warning grade analysis on the overload result based on the process evaluation data and determining the early warning grade of the overload result.
9. The system according to claim 8, further comprising a cause analysis module, wherein the cause analysis module is configured to preset an overload cause analysis model, so that the overload cause analysis model obtains a cause factor of the overload result based on the overload result and the corresponding early warning level.
10. The system for assessing regional ecological environment bearing capacity according to claim 8, further comprising a resource restriction module, wherein the resource restriction module is configured to enable the overload cause analysis model to output a corresponding resource restriction measure based on the cause factor and a preset policy measure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110432708.4A CN113205245A (en) | 2021-04-21 | 2021-04-21 | Method and system for evaluating bearing capacity of regional ecological environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110432708.4A CN113205245A (en) | 2021-04-21 | 2021-04-21 | Method and system for evaluating bearing capacity of regional ecological environment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113205245A true CN113205245A (en) | 2021-08-03 |
Family
ID=77027722
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110432708.4A Pending CN113205245A (en) | 2021-04-21 | 2021-04-21 | Method and system for evaluating bearing capacity of regional ecological environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113205245A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384829A (en) * | 2023-04-04 | 2023-07-04 | 国家基础地理信息中心 | Ecological analysis method, ecological analysis device, electronic equipment and computer readable storage medium |
| CN117827465A (en) * | 2024-03-04 | 2024-04-05 | 中国科学院地理科学与资源研究所 | Ecological environment early warning method and related equipment |
| CN117827465B (en) * | 2024-03-04 | 2024-05-24 | 中国科学院地理科学与资源研究所 | Ecological environment early warning method and related equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680330A (en) * | 2015-03-18 | 2015-06-03 | 北京师范大学 | System and testing method based on resource environmental bearing capacity evaluation indexes |
| CN106372807A (en) * | 2016-09-14 | 2017-02-01 | 国家测绘地理信息局第六地形测量队 | County region based resource environment carrying capacity evaluation method |
| CN108875290A (en) * | 2017-05-09 | 2018-11-23 | 深圳市环境科学研究院 | Resosurces environment loading capacity method for early warning |
| CN110070271A (en) * | 2019-04-01 | 2019-07-30 | 河海大学 | A kind of small watershed water environment loaded state evaluation method |
| CN111428985A (en) * | 2020-03-19 | 2020-07-17 | 北京师范大学 | Assessment method for regional water ecological bearing capacity |
| CN111582620A (en) * | 2020-02-13 | 2020-08-25 | 北京市环境保护科学研究院 | Water environment bearing capacity data processing method |
| CN112508271A (en) * | 2020-12-04 | 2021-03-16 | 张红岩 | GIS-based territorial space planning optimization method and system |
-
2021
- 2021-04-21 CN CN202110432708.4A patent/CN113205245A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680330A (en) * | 2015-03-18 | 2015-06-03 | 北京师范大学 | System and testing method based on resource environmental bearing capacity evaluation indexes |
| CN106372807A (en) * | 2016-09-14 | 2017-02-01 | 国家测绘地理信息局第六地形测量队 | County region based resource environment carrying capacity evaluation method |
| CN108875290A (en) * | 2017-05-09 | 2018-11-23 | 深圳市环境科学研究院 | Resosurces environment loading capacity method for early warning |
| CN110070271A (en) * | 2019-04-01 | 2019-07-30 | 河海大学 | A kind of small watershed water environment loaded state evaluation method |
| CN111582620A (en) * | 2020-02-13 | 2020-08-25 | 北京市环境保护科学研究院 | Water environment bearing capacity data processing method |
| CN111428985A (en) * | 2020-03-19 | 2020-07-17 | 北京师范大学 | Assessment method for regional water ecological bearing capacity |
| CN112508271A (en) * | 2020-12-04 | 2021-03-16 | 张红岩 | GIS-based territorial space planning optimization method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384829A (en) * | 2023-04-04 | 2023-07-04 | 国家基础地理信息中心 | Ecological analysis method, ecological analysis device, electronic equipment and computer readable storage medium |
| CN117827465A (en) * | 2024-03-04 | 2024-04-05 | 中国科学院地理科学与资源研究所 | Ecological environment early warning method and related equipment |
| CN117827465B (en) * | 2024-03-04 | 2024-05-24 | 中国科学院地理科学与资源研究所 | Ecological environment early warning method and related equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Di Febbraro et al. | Expert-based and correlative models to map habitat quality: Which gives better support to conservation planning? | |
| Javadinejad et al. | Analysis and prioritization the effective factors on increasing farmers resilience under climate change and drought | |
| Lu et al. | Spatiotemporal differences in forest ecological security warning values in Beijing: Using an integrated evaluation index system and system dynamics model | |
| Xu et al. | A spatial system dynamic model for regional desertification simulation–A case study of Ordos, China | |
| Clauzel et al. | Combining spatial modeling tools and biological data for improved multispecies assessment in restoration areas | |
| CN114742464A (en) | Method for constructing alpine grassland ecological system health assessment and early warning platform | |
| CA2830666A1 (en) | Quantitative risk assessment methods and systems for renewable and non-renewable energy projects | |
| Fu et al. | Ecosystem services modeling in contrasting landscapes | |
| CN113205245A (en) | Method and system for evaluating bearing capacity of regional ecological environment | |
| Fernandes et al. | Determinants of energy consumption in newly industrialised countries of Asia | |
| Lautso et al. | Modelling policies for urban sustainability | |
| CN111652522A (en) | Ecological risk assessment method for natural protected area | |
| CN116310842B (en) | Soil saline-alkali area identification and division method based on remote sensing image | |
| Topp et al. | Forecasting the environmental and socio-economic consequences of changes in the Common Agricultural Policy | |
| Devlin et al. | Water Framework Directive: The development and status of phytoplankton tools for ecological assessment of coastal and transitional waters | |
| CN115239156B (en) | Method and device for warning influence of urbanization index on water system structure | |
| Freyer et al. | Potential impact model to assess agricultural pressure to landscape ecological functions | |
| CN116628519A (en) | Ecological fragile area identification method and system | |
| CN115345488A (en) | Wetland ecosystem service evaluation method, device, server and medium | |
| Hedayat et al. | Drought risk assessment: The importance of vulnerability factors interdependencies in regional drought risk management | |
| Figueiredo et al. | Turbining the Leopold Matrix | |
| Xu et al. | Research on ecological security of Shengjin Lake wetland (Anhui Province of China) based on TM images | |
| Lan et al. | The Spatiotemporal Variation in Biodiversity and Its Response to Different Future Development Scenarios: A Case Study of Guilin as an Internationally Renowned Tourist Destination in China | |
| Keane et al. | Evaluating wildfire hazard and risk for fire management applications | |
| CN117827465B (en) | Ecological environment early warning method and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |