CN112183887A - Water environment bearing capacity early warning index threshold value and classification standard determination method - Google Patents

Water environment bearing capacity early warning index threshold value and classification standard determination method Download PDF

Info

Publication number
CN112183887A
CN112183887A CN202011141311.1A CN202011141311A CN112183887A CN 112183887 A CN112183887 A CN 112183887A CN 202011141311 A CN202011141311 A CN 202011141311A CN 112183887 A CN112183887 A CN 112183887A
Authority
CN
China
Prior art keywords
early warning
index
water environment
warning index
standard
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
Application number
CN202011141311.1A
Other languages
Chinese (zh)
Inventor
郑明霞
向维
徐红灯
张琪
苏婧
杨延梅
陈文婷
傅雪梅
孙源媛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chinese Research Academy of Environmental Sciences
Original Assignee
Chinese Research Academy of Environmental Sciences
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chinese Research Academy of Environmental Sciences filed Critical Chinese Research Academy of Environmental Sciences
Priority to CN202011141311.1A priority Critical patent/CN112183887A/en
Publication of CN112183887A publication Critical patent/CN112183887A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Alarm Systems (AREA)

Abstract

A method for determining a threshold value and a classification standard of a watershed water environment bearing capacity early warning index comprises the following steps: (1) constructing a watershed water environment bearing capacity early warning index system; (2) acquiring a distribution function according to a historical data set of the early warning index, and dividing a control boundary by combining a control graph method; (3) collecting and determining early warning index limit values such as international, domestic and drainage basin local standard plans; (4) establishing an index threshold value and a grading standard which are combined by a comprehensive statistical analysis control chart method and a standard specification; and accordingly, determining a watershed water environment bearing capacity early warning index threshold interval and dividing early warning grades. The invention constructs a set of index threshold and grading standard determination method which has universality and can be applied in different industries according to the principle of combining quantification and qualification.

Description

Water environment bearing capacity early warning index threshold value and classification standard determination method
Technical Field
The invention belongs to the technical field of data processing and index analysis, and particularly relates to a method for determining a water environment bearing capacity early warning index threshold value and a grading standard.
Background
With the development of economy, mathematical statistics techniques such as data analysis and data processing have been gradually applied to various industries. The problems of large data volume, different index data properties and the like can be processed by a mathematical statistical analysis method.
China is a country with uneven water resource distribution and serious shortage of water resource quantity, and meanwhile, the situation of water body pollution is prominent, so that the contradiction between the development of the drainage basin and the natural ecology is increasingly prominent. Particularly, the water environment bearing state of the watershed is closely related to the social and economic development and the natural environment. The method is a key index for evaluating the bearing capacity of the water environment in a region for the maximum water resource development and utilization degree, the maximum pollution load and the like which can be borne by a drainage basin. And if the current and future population, economy, pollutant emission and other index states of the drainage basin are to be evaluated to be correct, accurate monitoring and early warning on the bearing capacity of the water environment are required. However, the prior art lacks a method for determining the early warning index threshold value by combining data analysis and basin development planning.
Disclosure of Invention
The invention aims to provide a method for determining a water environment bearing capacity early warning index threshold and a grading standard, which can more accurately demarcate the threshold interval of each index in a mode of combining mathematical statistical analysis and local standard specifications so as to enable the research result to be more accurate.
In order to achieve the above object, the method for determining the early warning index threshold value and the classification standard of the bearing capacity of the water environment provided by the invention specifically comprises the following steps:
(1) early warning index system for building watershed water environment bearing capacity
From the perspective of watershed water environment functions and regional development, a multi-target multi-level watershed water environment bearing capacity early warning index system is constructed;
(2) acquiring a distribution function according to a historical data set of the early warning index, and dividing a control boundary by combining a control graph method;
performing statistical analysis according to a historical data set of the early warning index, determining the probability distribution of the historical data set, performing function fitting, and dividing the average value and upper and lower control limits of the early warning index by combining a control chart method;
(3) collecting and determining international, domestic and drainage basin local standards and planned early warning index limit values;
determining the limit value of the early warning index according to some internationally and domestically recognized index values and by combining the local standards of the drainage basin and the target value of the development planning;
(4) establishing an index threshold interval demarcation standard combining a comprehensive statistical analysis method and a standard specification;
and (3) establishing an early warning index threshold value and a grading standard from the quantitative and qualitative aspects by combining the statistical analysis method in the step (2) and the standard planning method in the step (3).
The method comprises the steps that early warning indexes in the early warning index system are selected and combined with the functional requirements of the watershed water environment and the influence of the watershed area economic and social development planning and the like, the indexes comprising four parts of population economy, water resources, the water environment and water ecology are selected comprehensively, and the watershed water environment bearing capacity early warning index system is constructed.
The method is characterized in that the statistical analysis is combined with a control chart method to divide the early warning index mean value and the upper and lower control limits, and the statistical analysis is carried out according to the index historical data set.
The method comprises the steps that the statistical analysis is to perform curve fitting according to a historical data set to obtain a corresponding distribution function, perform short-term prediction according to the distribution function, and divide upper and lower control limits by adopting a control chart method in combination with historical data and prediction data.
The method described above, wherein the control chart method is determined according to two parameters of the mean μ and the standard deviation σ of the sample when dividing the upper and lower control limits, and the index value should fall within the range of μ ± 3 σ with a probability of 99.73%, and this is used as the upper and lower control limits of the index.
The method comprises the step of determining the index limit value by standard planning, wherein the reference limit value of the early warning index is determined according to some international and domestic acknowledged index values and by combining local standards of the drainage basin and a target value of development planning.
In the method, in the step of defining the standard in the index threshold interval, the accurate and reliable index threshold is obtained by combining the result comprehensive analysis of mathematical statistics and standard planning.
The method can realize the determination of the early warning index threshold value by a method of combining data analysis and regional development planning so as to ensure that the result of the threshold value determination is more accurate.
Drawings
Fig. 1 is a flow chart of a method for determining a water environment bearing capacity early warning index threshold value and a classification standard according to an embodiment of the invention.
Detailed Description
Aiming at the defects that the current index threshold value is determined by methods such as literature summary and expert experience scoring, the invention provides a water environment bearing capacity early warning index threshold value and grading standard determination method, which can more accurately define the threshold value interval of each index in a mode of combining mathematical statistic analysis and local standard specification so as to enable the research result to be more accurate.
The invention provides a method for determining a water environment bearing capacity early warning index threshold value and a classification standard, which comprises the following steps:
the construction method of the watershed water environment bearing capacity early warning index system comprises the following steps: and (4) screening indexes from the perspective of watershed water environment functions and regional development, and constructing a multi-target multi-level watershed water environment bearing capacity early warning index system.
Determining an upper limit and a lower limit of the mathematical statistics method: performing statistical analysis according to collected historical data sets of various indexes, obtaining corresponding distribution functions after curve fitting, performing short-term prediction by using the distribution functions, adopting a control diagram method by combining historical data and predicted data, and taking the index mean value as an index control upper and lower limit, wherein the index mean value is within a range of 3 times of standard deviation with a probability of 99.73% according to a 3 sigma principle;
determining a standard planning index limit value: according to the screened indexes, some internationally and domestically recognized reference values are searched, and meanwhile, the target limit value of the early warning index is determined by combining the locally formulated standard of the drainage basin and the target value of the development planning.
An index threshold value determination step: determining the result of the control limit and the standard planning determination index limit value by combining mathematical statistics, and comprehensively analyzing from the two aspects of quantification and qualification to obtain an accurate and reliable index threshold value determination method;
in the construction step of the watershed water environment bearing capacity early warning index system, the multi-target multi-level watershed water environment bearing capacity early warning index system comprises aspects of population economy, water resources, water environment, water ecology and the like.
The threshold comprises an upper limit threshold and a lower limit threshold, and when the index value is lower than the lower limit of the threshold, the water environment bearing capacity state of the drainage basin is extremely poor; when the index value is higher than the upper limit of the threshold value, the bearing capacity state of the watershed water environment is better; meanwhile, different grades can be divided according to actual research conditions, and the grading standard of the bearing capacity of the water environment is determined.
And refining the threshold interval, and defining different bearing levels so as to accurately determine the change condition of the bearing capacity state of the water environment.
The technical solution and the technical effects of the present invention will become more apparent and more easily understood from the following description of a preferred embodiment in conjunction with the accompanying drawings.
When the early warning and evaluation of the bearing capacity of the watershed water environment are carried out, the embodiment of the invention takes the population economy, the water resource, the water environment and the water ecology as main elements. The influence of the population economy, the water environment, the water resource and the water ecology on the bearing capacity of the watershed water environment is comprehensively considered.
(1) Economy of population
The human and economic development conditions indirectly reflect the coordination degree of human activities and natural environment, and various development plans including population development plans, land utilization conditions, industrial structures and the like are referenced and based on the water environment bearing capacity of regions.
(2) Water resource
The water resource amount of the drainage basin is a link for measuring the balance between human society and nature, and has important functions of flood storage and draining, water and soil conservation, ecological conservation and the like, so the evaluation of the water resource bearing state is the representation of the water resource utilization degree of the drainage basin in the development of human activities and economic society.
(3) Water environment
The watershed water environment bearing capacity evaluation is to consider the influence degree of human activities and economic and social development on the whole watershed environment from the perspective of the current water environment pollution situation and the residual environment capacity.
(4) Water ecology
The watershed water ecosystem comprises important ecological functions such as water conservation, water and soil conservation, biological diversity protection, flood regulation and the like, and the sustainable development of the local society must be established on the basis that the ecological system is not damaged and the ecological function is not reduced. Therefore, in the early warning evaluation of the bearing capacity of the watershed water environment, the population economy, the water resource, the water environment and the water ecology are combined to be researched, the influence of all aspects on the bearing capacity is comprehensively considered, and the key early warning index is determined.
After determining the main factors for evaluating the bearing capacity of the watershed water environment and constructing a watershed water environment bearing capacity early warning index system, the threshold value interval of each early warning index needs to be further determined.
Wherein the threshold interval of the watershed water environment bearing capacity early warning index is determined by adopting the following mode:
determining a control limit by a mathematical statistics method: carrying out statistical analysis processing according to collected and selected historical data sets of each index, obtaining a corresponding distribution function after curve fitting, carrying out short-term prediction by using the distribution function, adopting a control diagram method by combining historical data and predicted data, assuming that the index mean value falls within the range of 3 times of standard deviation by 99.73% of probability, taking the index mean value as an index control limit, and if the mean value falls outside the range of +/-3 times of standard deviation, considering that the index mean value exceeds the control limit;
and (3) determining a standard planning index limit value: according to the screened indexes, some international and domestic acknowledged reference values are searched, and meanwhile, the current situation, the recent and the future planning values in the related development planning are combined with the standards established locally in the drainage basin, and the target limit value of the early warning index is comprehensively determined.
An index threshold value determination step: and determining the result of determining the target limit value of the index by combining a mathematical statistics control graph method, a standard plan and the like, and performing comprehensive analysis on the two aspects of quantification and qualification to obtain an accurate and reliable index threshold value determination method.
The threshold comprises an upper limit threshold and a lower limit threshold, and when the index value is lower than the lower limit of the threshold, the water environment bearing capacity state of the drainage basin is poor; when the index value is higher than the upper limit of the threshold value, the bearing capacity state of the watershed water environment is better; the specific threshold interval division can be based on the basic idea and combined with the research area condition to refine the threshold interval and to divide levels with different quantities.
Example (b): the research area is a certain lake and the peripheral area
Please refer to fig. 1.
Firstly, from the perspective of watershed water environment function and regional development, information such as population economy, water resources, water environment and water ecology status situations of a research area is collected, 12 early warning indexes comprising four subsystems of population economy, water resources, water environment and ecology are selected, and a multi-level water environment bearing capacity early warning index system is constructed as shown in table 1.
Table 1: early warning index system for bearing capacity of water environment
Figure BDA0002738360900000051
Figure BDA0002738360900000061
Collecting historical data of 12 early warning indexes in 2012 and 2017, performing statistical analysis according to a historical data set, determining probability distribution of the historical data set, performing function fitting, and dividing an early warning index mean value and upper and lower control limits by combining a control graph method; determining the limit value of the early warning index according to some internationally and domestically recognized index values and by combining the local standards of the drainage basin and the target value of the development planning; and finally, comprehensively analyzing the control chart result and the drainage basin standard specification limit value to determine an index threshold value interval. Take two indexes of four subsystems as an example, as shown in table 2.
Table 2: method for determining bearing capacity index threshold value of water environment
Figure BDA0002738360900000062
Determining a classification standard of research watershed water environment bearing capacity evaluation indexes by adopting a five-level interval, sequentially dividing the classification standard into five levels from low to high, and establishing a classification standard determination method combining a comprehensive statistical analysis control diagram method and a watershed standard planning, wherein the classification standard determination method is shown in a table 3;
table 3: water environment bearing capacity early warning index grading standard
Figure BDA0002738360900000071
The inventive concept can be implemented in different ways as the technology advances, as will be clear to a person skilled in the art. The embodiments of the invention are not limited to the examples described above, but may vary within the scope of the claims.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. A method for determining a water environment bearing capacity early warning index threshold value and a classification standard specifically comprises the following steps:
(1) early warning index system for building watershed water environment bearing capacity
From the perspective of watershed water environment functions and regional development, a multi-target multi-level watershed water environment bearing capacity early warning index system is constructed;
(2) acquiring a distribution function according to a historical data set of the early warning index, and dividing a control boundary by combining a control graph method;
performing statistical analysis according to a historical data set of the early warning index, determining the probability distribution of the historical data set, performing function fitting, and dividing the average value and upper and lower control limits of the early warning index by combining a control chart method;
(3) collecting and determining international, domestic and drainage basin local standards and planned early warning index limit values;
determining the limit value of the early warning index according to some internationally and domestically recognized index values and by combining the local standards of the drainage basin and the target value of the development planning;
(4) establishing an index threshold interval demarcation standard combining a comprehensive statistical analysis method and a standard specification;
and (3) establishing an early warning index threshold value and a grading standard from the quantitative and qualitative aspects by combining the statistical analysis method in the step (2) and the standard planning method in the step (3).
2. The method as claimed in claim 1, wherein the early warning index in the early warning index system is obtained by selecting and combining the functional requirements of the watershed water environment and the influence of the watershed economic and social development planning, comprehensively selecting the indexes comprising four parts of the population economy, the water resource, the water environment and the water ecology, and constructing the watershed water environment bearing capacity early warning index system.
3. The method of claim 1, wherein the statistical analysis is performed according to an index historical data set by dividing the early warning index mean and the upper and lower control limits in combination with a control chart method.
4. The method of claim 3, wherein the statistical analysis is curve fitting based on the historical data set to obtain a corresponding distribution function, short term prediction based on the distribution function, and upper and lower control limits are divided by using a control graph method in combination with the historical data and the predicted data.
5. The method of claim 4, wherein the control map method is determined according to two parameters of the mean μ and the standard deviation σ of the sample when dividing the upper and lower control limits, and the index value should fall within the range of μ ± 3 σ with a probability of 99.73%, as the upper and lower control limits of the index.
6. The method as claimed in claim 1, wherein the standard plan determines the index limit value, and the method determines the reference limit value of the early warning index according to the accepted index value and the target value of the basin local standard and the development plan.
7. The method of claim 1, wherein the criterion defining the index threshold interval is a result comprehensive analysis combining mathematical statistics and standard planning to obtain an accurate and reliable index threshold.
CN202011141311.1A 2020-10-22 2020-10-22 Water environment bearing capacity early warning index threshold value and classification standard determination method Pending CN112183887A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011141311.1A CN112183887A (en) 2020-10-22 2020-10-22 Water environment bearing capacity early warning index threshold value and classification standard determination method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011141311.1A CN112183887A (en) 2020-10-22 2020-10-22 Water environment bearing capacity early warning index threshold value and classification standard determination method

Publications (1)

Publication Number Publication Date
CN112183887A true CN112183887A (en) 2021-01-05

Family

ID=73923888

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011141311.1A Pending CN112183887A (en) 2020-10-22 2020-10-22 Water environment bearing capacity early warning index threshold value and classification standard determination method

Country Status (1)

Country Link
CN (1) CN112183887A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114218647A (en) * 2021-12-17 2022-03-22 上海中森建筑与工程设计顾问有限公司 Wall length design method of shear wall
CN115203887A (en) * 2022-05-26 2022-10-18 中色蓝图科技股份有限公司 Resource environment bearing capacity temporal model based on service flow engine
CN117556941A (en) * 2023-10-20 2024-02-13 中水珠江规划勘测设计有限公司 Water demand prediction method and device based on feedback mechanism and electronic equipment
CN117556941B (en) * 2023-10-20 2024-05-28 中水珠江规划勘测设计有限公司 Water demand prediction method and device based on feedback mechanism and electronic equipment

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104794350A (en) * 2015-04-23 2015-07-22 中国科学院地理科学与资源研究所 System and method for evaluating comprehensive carrying capacity of region
CN106250695A (en) * 2016-08-03 2016-12-21 环境保护部南京环境科学研究所 A kind of plain river network river water environmental security evaluation system
CN106327019A (en) * 2016-08-30 2017-01-11 杨渺 Resource environmental bearing capacity early-warning method and system
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
CN109657933A (en) * 2018-11-29 2019-04-19 河海大学 A kind of regional water resources environment loaded state method for early warning
CN109670679A (en) * 2018-11-29 2019-04-23 河海大学 Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method
CN110070271A (en) * 2019-04-01 2019-07-30 河海大学 A kind of small watershed water environment loaded state evaluation method
CN110189059A (en) * 2019-06-17 2019-08-30 北京师范大学 A kind of basin water systematic collaboration Bearing Capacity Evaluation index system construction method
CN111428985A (en) * 2020-03-19 2020-07-17 北京师范大学 Assessment method for regional water ecological bearing capacity

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104794350A (en) * 2015-04-23 2015-07-22 中国科学院地理科学与资源研究所 System and method for evaluating comprehensive carrying capacity of region
CN106250695A (en) * 2016-08-03 2016-12-21 环境保护部南京环境科学研究所 A kind of plain river network river water environmental security evaluation system
CN106327019A (en) * 2016-08-30 2017-01-11 杨渺 Resource environmental bearing capacity early-warning method and system
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
CN109657933A (en) * 2018-11-29 2019-04-19 河海大学 A kind of regional water resources environment loaded state method for early warning
CN109670679A (en) * 2018-11-29 2019-04-23 河海大学 Six grades of water resource loaded state method for early warning of three classes based on Variable Fuzzy method
CN110070271A (en) * 2019-04-01 2019-07-30 河海大学 A kind of small watershed water environment loaded state evaluation method
CN110189059A (en) * 2019-06-17 2019-08-30 北京师范大学 A kind of basin water systematic collaboration Bearing Capacity Evaluation index system construction method
CN111428985A (en) * 2020-03-19 2020-07-17 北京师范大学 Assessment method for regional water ecological bearing capacity

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
崔丹;陈馨;曾维华;: "水环境承载力中长期预警研究――以昆明市为例", 中国环境科学, no. 03 *
徐志青;刘雪瑜;邓齐玉;颜秉斐;肖书虎;孙晨;: "南京市水环境承载力情景预测研究", 环境工程技术学报, no. 03 *
曾维华;解钰茜;王东;张可欣;姚瑞华;: "流域水环境承载力预警技术方法体系", 环境保护, no. 19, pages 9 - 16 *
李键;杨玉楠;吴舜泽;贾杰林;: "水环境预警系统的研究进展", 环境保护, no. 06 *
邓绍云, 文俊: "区域水资源可持续利用预警模型的初步研究", 云南农业大学学报, no. 03 *
陈晓雨婧: "甘肃省资源环境承载力评估预警研究", 《中国优秀硕士学位论文全文数据库基础科学辑》, pages 013 - 1 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114218647A (en) * 2021-12-17 2022-03-22 上海中森建筑与工程设计顾问有限公司 Wall length design method of shear wall
CN115203887A (en) * 2022-05-26 2022-10-18 中色蓝图科技股份有限公司 Resource environment bearing capacity temporal model based on service flow engine
CN117556941A (en) * 2023-10-20 2024-02-13 中水珠江规划勘测设计有限公司 Water demand prediction method and device based on feedback mechanism and electronic equipment
CN117556941B (en) * 2023-10-20 2024-05-28 中水珠江规划勘测设计有限公司 Water demand prediction method and device based on feedback mechanism and electronic equipment

Similar Documents

Publication Publication Date Title
Zhu et al. Effectiveness of entropy weight method in decision-making
CN108918815B (en) Method for predicting heavy metal risk of soil
Yi Z-score model on financial crisis early-warning of listed real estate companies in China: a financial engineering perspective
CN112183887A (en) Water environment bearing capacity early warning index threshold value and classification standard determination method
CN112308290A (en) Method for investigating and stationing polluted site
CN114330812A (en) Landslide disaster risk assessment method based on machine learning
CN116862081B (en) Operation and maintenance method and system for pollution treatment equipment
CN113408659A (en) Building energy consumption integrated analysis method based on data mining
Fakher et al. New insights into development of an environmental–economic model based on a composite environmental quality index: a comparative analysis of economic growth and environmental quality trend
CN117114425B (en) Intelligent early warning method, system and medium for coping with emergency
Griffin et al. Ranking Mahalanobis distance models for predictions of occupancy from presence‐only data
CN113807709B (en) Multi-target lake area water safety evaluation method based on water condition elements
CN111724030A (en) Water quality comprehensive evaluation method, model, device and storage medium
KR20160044809A (en) Methods of classification for improving the water quality of rivers and prioritization
CN116362552A (en) Method for evaluating safety risk level of small reservoir
CN116706884A (en) Photovoltaic power generation amount prediction method, device, terminal and storage medium
CN113298148B (en) Ecological environment evaluation-oriented unbalanced data resampling method
CN116307913A (en) Comprehensive multi-level sewage treatment facility pollutant reduction efficiency evaluation method and system
CN114912372A (en) High-precision filling pipeline fault early warning method based on artificial intelligence algorithm
CN114330818A (en) Dynamic water demand prediction method based on main driving factor screening and deep learning
Deng et al. Comprehensive evaluation method of urban water resources utilization based on dynamic reduct
CN108123436B (en) Voltage out-of-limit prediction model based on principal component analysis and multiple regression algorithm
CN114066037A (en) Drainage basin pollution source tracing prediction method and device based on artificial intelligence
CN114755387B (en) Water body monitoring point location optimization method based on hypothesis testing method
CN110751398B (en) Regional ecological quality evaluation method and device

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