CN113240203A - Method for calculating pollution contribution rate of medium and small river channel sections of multiple pollution sources - Google Patents

Method for calculating pollution contribution rate of medium and small river channel sections of multiple pollution sources Download PDF

Info

Publication number
CN113240203A
CN113240203A CN202110665810.9A CN202110665810A CN113240203A CN 113240203 A CN113240203 A CN 113240203A CN 202110665810 A CN202110665810 A CN 202110665810A CN 113240203 A CN113240203 A CN 113240203A
Authority
CN
China
Prior art keywords
pollution
river channel
source
section
contribution rate
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.)
Granted
Application number
CN202110665810.9A
Other languages
Chinese (zh)
Other versions
CN113240203B (en
Inventor
赖秋英
张毅敏
高月香
朱豆豆
张志伟
陈婷
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.)
Nanjing Institute of Environmental Sciences MEE
Original Assignee
Nanjing Institute of Environmental Sciences MEE
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 Nanjing Institute of Environmental Sciences MEE filed Critical Nanjing Institute of Environmental Sciences MEE
Priority to CN202110665810.9A priority Critical patent/CN113240203B/en
Publication of CN113240203A publication Critical patent/CN113240203A/en
Application granted granted Critical
Publication of CN113240203B publication Critical patent/CN113240203B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00—Water conservation; Efficient water supply; Efficient water use
    • Y02A20/152—Water filtration

Landscapes

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

Abstract

The invention discloses a method for calculating the pollution contribution rate of a cross section of a small river channel in multiple pollution sources, which comprises the following steps: step 1, determining river channel hydrology and water quality parameters: determining hydrological water quality parameters of a target river channel; step 2, generalization of river pollution sources: generalizing river-entering pollution sources according to the hydrological water quality parameters in the step 1; step 3, pollutant concentration prediction: predicting a one-dimensional water quality model according to the pollutant concentration, and predicting the pollutant concentration of a downstream control section under the condition that only a single pollution source exists; step 4, analyzing the contribution rate of the pollution source: and analyzing the contribution rate of each pollution source to the pollution of the downstream control section. The calculation method is simple, convenient and effective, and is suitable for tracing the source of pollutants on the control section of the medium and small river channel.

Description

Method for calculating pollution contribution rate of medium and small river channel sections of multiple pollution sources
Technical Field
The invention belongs to the technical field of environmental engineering, and particularly relates to a method for calculating the pollution contribution rate of a cross section of a small river channel in multiple pollution sources.
Background
With the rapid development of social economy, the river pollution problem is increasingly severe, the contradiction between the water environment pollution load and the pollutant carrying capacity of the river is increasingly prominent, and the sustainable development of the drainage basin is severely restricted.
The medium and small river channels accept pollutants carried by various confluence points along the way, the point source and the surface source are various in types, and the pollution influence factors are numerous, so that the pollution contribution rate of external source input of the medium and small river channels to a certain specific assessment section is quantitatively analyzed, the accurate grasp of the pollution tracing of the river channels is facilitated, and the technical support is provided for formulating scientific pollutant reduction strategies.
The existing quantitative analysis and calculation method for the contribution rate of a specific pollution source is complex, numerical simulation and the like are often needed, calculation difficulty and time cost are increased, and research on quantitative analysis of the contribution rate of the pollution source of medium and small river channels is blank.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for calculating the contribution rate of the cross section pollution of a small river channel in multiple pollution sources, determining hydrological water quality parameters of a target river channel, generalizing the pollution sources, predicting the concentration of pollutants under the condition of assuming that only a single pollution source is discharged, and finally analyzing the contribution rate of each pollution source to the downstream control cross section pollution. The calculation method is simple, convenient and effective, and is suitable for tracing the source of pollutants on the control section of a medium and small river channel.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a method for calculating the pollution contribution rate of a section of a small river channel in multiple pollution sources comprises the following steps:
step 1, determining river channel hydrology and water quality parameters: determining hydrological water quality parameters of a target river channel;
step 2, generalization of river pollution sources: generalizing river-entering pollution sources according to the hydrological water quality parameters in the step 1;
step 3, pollutant concentration prediction: predicting a one-dimensional water quality model according to the pollutant concentration, and predicting the pollutant concentration of a downstream control section under the condition that only a single pollution source exists;
step 4, analyzing the contribution rate of the pollution source: and analyzing the contribution rate of each pollution source to the pollution of the downstream control section.
In order to optimize the technical scheme, the specific measures adopted further comprise:
in the step 1, the following hydrological water quality parameters of the target river are determined:
the river channel one-dimensional degradation coefficient k, the river channel average width B, the river channel average water depth H and the river channel length L;
background concentration of upstream section C0Initial flow rate q0；
Distance L of ith pollution source from upstream sectioniConcentration of the i-th Source of contamination CiFlow q of the ith pollution Sourcei。
The step 2 carries out the following river pollution source generalization:
river channel branches are generalized into point sources;
the river course surface source pollution is generalized to a point source, and the point position of the river course flowing into the river course is the midpoint of the length of the surface source flowing into the river course.
And 3, under the condition that only the ith pollution source is discharged, predicting the concentration from the ith pollution source to a downstream control section according to the one-dimensional water quality model.
The prediction steps from the ith pollution source to the downstream control section pollutant concentration are as follows:
assuming that only the ith pollutant is emitted, the concentration of pollutants from the upstream incoming water to the ith pollutant:
Figure BDA0003116778740000021
Figure BDA0003116778740000022
Figure BDA0003116778740000023
wherein, C0Is the background concentration of the upstream section, k is the pollutant degradation coefficient, LiThe distance from the ith pollution source to the upstream section;
u is the average flow velocity, q0Taking the initial flow as B, the average width of the river channel as B, and the average water depth of the river channel as H;
the concentration of the pollutants from the ith pollution source to the control section is as follows:
Figure BDA0003116778740000024
wherein q isiThe flow rate of the ith pollution source.
The above-mentioned contaminant degradation coefficient is constant.
In the step 4, the contribution rate of the ith pollution source to the pollution of the control section is calculated as follows:
contribution rate of ith pollution source to pollution of control section:
Figure BDA0003116778740000025
wherein, deltaiThe contribution rate of the ith pollution source to the pollution of the control section is shown, and n is the number of the pollution sources.
The invention has the following beneficial effects:
the method generalizes the river-entering pollution source by determining the hydrology and water quality parameters of the target river channel, further calculates and predicts the concentration of pollutants from the river-entering pollution source to the control section by a one-dimensional method, and finally calculates and predicts the contribution rate of each pollution source to the pollution of the downstream control section.
The calculation method based on the one-dimensional water quality model is simple, convenient and effective, can be widely applied to water environment management, pollutant concentration prediction and water pollution control of medium and small river channels, and provides technical support for tracing the pollutants of the medium and small river channels and formulating scientific pollutant reduction strategies. Has strong practicability and wide applicability.
Drawings
FIG. 1 is a schematic diagram of a method for calculating a pollution contribution rate of a small river section in a pollution source according to the present invention;
FIG. 2 is a schematic view of the area source contamination of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1 and fig. 2, the method for calculating the contribution rate of the cross-section pollution of the small river channel in the multiple pollution sources of the invention comprises the following steps:
step 1, determining river channel hydrology and water quality parameters: determining hydrological water quality parameters of a target river channel;
step 2, generalization of river pollution sources: generalizing river-entering pollution sources according to the hydrological water quality parameters in the step 1;
step 3, pollutant concentration prediction: predicting a one-dimensional water quality model according to the pollutant concentration, and predicting the pollutant concentration of a downstream control section under the condition that only a single pollution source exists;
step 4, analyzing the contribution rate of the pollution source: and analyzing the contribution rate of each pollution source to the pollution of the downstream control section.
In an embodiment, in step 1, the following hydrological water quality parameters of a target river are determined:
the river channel one-dimensional degradation coefficient k, the river channel average width B, the river channel average water depth H and the river channel length L;
background concentration of upstream section C0Initial flow rate q0；
Distance L of ith pollution source from upstream sectioniConcentration of the i-th Source of contamination CiFlow q of the ith pollution Sourcei。
In the example, step 2 was carried out to generalize the river pollution sources as follows:
river channel branches are generalized into point sources;
the river course surface source pollution is generalized to a point source, and the point position of the river course flowing into the river course is the midpoint of the length of the surface source flowing into the river course.
In the embodiment, in step 3, under the condition that only the ith pollution source is discharged, the concentration from the ith pollution source to the downstream control section is predicted according to the one-dimensional water quality model.
In the embodiment, the prediction steps from the ith pollution source to the downstream control section pollutant concentration are as follows:
assuming that only the ith pollutant is emitted, the concentration of pollutants from the upstream incoming water to the ith pollutant:
Figure BDA0003116778740000041
Figure BDA0003116778740000042
Figure BDA0003116778740000043
wherein, C0Is background concentration of upstream section, k is pollutant degradation coefficient (assuming that pollutant degradation coefficient of medium and small river channels is constant), LiThe distance from the ith pollution source to the upstream section;
u is the average flow velocity, q0Taking the initial flow as B, the average width of the river channel as B, and the average water depth of the river channel as H;
the concentration of the pollutants from the ith pollution source to the control section is as follows:
Figure BDA0003116778740000044
wherein q isiThe flow rate of the ith pollution source.
In the embodiment, in step 4, the contribution rate of the ith pollution source to the pollution of the control section is calculated as follows:
contribution rate of ith pollution source to pollution of control section:
Figure BDA0003116778740000045
wherein, deltaiThe contribution rate of the ith pollution source to the pollution of the control section is shown, and n is the number of the pollution sources.
Example 1: taking a small and medium river channel in a certain area as an example to calculate the pollution contribution rate of the section of the small river channel in multiple pollution sources, the method comprises the following steps:
(1) the river channel hydrology and water quality parameters are researched on site, and the method comprises the following steps:
the calculated area of the river channel is 8km, 2 point source pollution and 1 surface source pollution exist in the area, the average water depth of the river channel is 1.6m, the average river width is 10m, and BOD of upstream incoming flow5The local concentration is 3mg/L, and the initial flow of the upstream incoming flow is 1m3(s) the pollutant degradation coefficient is 0.8/d; the 1 st pollution source is a point source, and the flow of the pollution source is 0.5m3The concentration of the pollution source is 6mg/L, and the distance from the pollution source to the upstream section is 2 km; the 2 nd pollution source is non-point source pollution, and the flow of the pollution source is 1m3The concentration of a pollution source is 4mg/L, and the distance from the middle point of the non-point source pollution to the upstream section is 5 km; the 3 rd pollution source is point source pollution, and the flow of the pollution source is 0.8m3And/s, the concentration of the pollution source is 5mg/L, and the distance from the pollution source to the upstream section is 7 km.
(2) And (3) pollutant concentration prediction:
the flow of the 1 st pollution source was 0.5m3The concentration of the pollution source is 6mg/L, the distance from the pollution source to the upstream section is 2km, and the concentration of the pollutants from the upstream water to the 1 st pollution source is as follows:
Figure BDA0003116778740000051
concentration of contaminant from 1 st source to control profile:
Figure BDA0003116778740000052
the flow rate of the 2 nd pollution source is 1m3The concentration of the pollution source is 4mg/L, and the middle point of the pollution source is upThe distance of the upstream section is 5km, and the concentration of the pollutants from the upstream incoming water to the 2 nd pollution source is as follows:
Figure BDA0003116778740000053
concentration of contaminant from 2 nd source to control section:
Figure BDA0003116778740000054
the flow of the 3 rd pollution source is 0.8m3And/s, the concentration of the pollution source is 5mg/L, the distance from the pollution source to the upstream section is 7km, and the concentration of the pollutants from the upstream water to the 3 rd pollution source is as follows:
Figure BDA0003116778740000055
concentration of contaminant from 3 rd source to control section:
Figure BDA0003116778740000061
contribution rate of 1 st pollution source to pollution of control section:
Figure BDA0003116778740000062
contribution rate of the 2 nd pollution source to the pollution of the control section:
Figure BDA0003116778740000063
contribution rate of the 3 rd pollution source to the pollution of the control section:
Figure BDA0003116778740000064
in conclusion, the river pollution source is generalized by determining the hydrology and water quality parameters of the target river channel, the concentration of the pollutants from the river pollution source to the control section is calculated and predicted by a one-dimensional method, and the contribution rate of each pollution source to the pollution of the downstream control section is finally calculated and predicted.
The calculation method provided by the invention is simple, convenient and effective, can be widely applied to water environment management, pollutant concentration prediction and water pollution control of medium and small river channels, and provides technical support for tracing the pollutants in the medium and small river channels and making scientific pollutant reduction strategies. Has strong practicability and wide applicability.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.

Claims (7)

1. A method for calculating the pollution contribution rate of a section of a small river channel in multiple pollution sources is characterized by comprising the following steps:
step 1, determining river channel hydrology and water quality parameters: determining hydrological water quality parameters of a target river channel;
step 2, generalization of river pollution sources: generalizing river-entering pollution sources according to the hydrological water quality parameters in the step 1;
step 3, pollutant concentration prediction: predicting a one-dimensional water quality model according to the pollutant concentration, and predicting the pollutant concentration of a downstream control section under the condition that only a single pollution source exists;
step 4, analyzing the contribution rate of the pollution source: and analyzing the contribution rate of each pollution source to the pollution of the downstream control section.
2. The method for calculating the contribution rate of the cross-section pollution of the small river channel from multiple pollution sources according to claim 1, wherein in the step 1, the following hydrological water quality parameters of the target river channel are determined:
the river channel one-dimensional degradation coefficient k, the river channel average width B, the river channel average water depth H and the river channel length L;
background concentration of upstream section C0Initial flow rate q0；
Distance L of ith pollution source from upstream sectioniConcentration of the i-th Source of contamination CiFlow q of the ith pollution Sourcei。
3. The method for calculating the contribution rate of the small river channel cross section pollution in the multiple pollution sources according to claim 1, wherein the step 2 is implemented by generalizing the river channel pollution sources as follows:
river channel branches are generalized into point sources;
the river course surface source pollution is generalized to a point source, and the point position of the river course flowing into the river course is the midpoint of the length of the surface source flowing into the river course.
4. The method for calculating the contribution rate of the pollution of the small river channel cross section in the multiple pollution sources according to claim 1, wherein in the step 3, under the condition that only the ith pollution source is discharged, the concentration from the ith pollution source to the downstream control cross section is predicted according to a one-dimensional water quality model.
5. The method for calculating the contribution rate of the cross-section pollution of the small river channel in the multiple pollution sources according to claim 4, wherein the step of predicting the pollutant concentration of the cross-section from the ith pollution source to the downstream control cross-section is as follows:
assuming that only the ith pollutant is emitted, the concentration of pollutants from the upstream incoming water to the ith pollutant:
Figure FDA0003116778730000011
Figure FDA0003116778730000012
Figure FDA0003116778730000013
wherein, C0Is the background concentration of the upstream section, k is the pollutant degradation coefficient, LiThe distance from the ith pollution source to the upstream section;
u is the average flow velocity, q0Taking the initial flow as B, the average width of the river channel as B, and the average water depth of the river channel as H;
the concentration of the pollutants from the ith pollution source to the control section is as follows:
Figure FDA0003116778730000021
wherein q isiThe flow rate of the ith pollution source.
6. The method for calculating the contribution rate of the cross-section pollution of the small river channel from multiple pollution sources according to claim 5, wherein the pollutant degradation coefficient is constant.
7. The method for calculating the pollution contribution rate of the small river channel section in the multiple pollution sources according to claim 5, wherein in the step 4, the pollution contribution rate of the ith pollution source to the control section is calculated as follows:
contribution rate of ith pollution source to pollution of control section:
Figure FDA0003116778730000022
wherein, deltaiThe contribution rate of the ith pollution source to the pollution of the control section is shown, and n is the number of the pollution sources.
CN202110665810.9A 2021-06-16 2021-06-16 Method for calculating pollution contribution rate of cross section of small river in multiple pollution sources Active CN113240203B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110665810.9A CN113240203B (en) 2021-06-16 2021-06-16 Method for calculating pollution contribution rate of cross section of small river in multiple pollution sources

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110665810.9A CN113240203B (en) 2021-06-16 2021-06-16 Method for calculating pollution contribution rate of cross section of small river in multiple pollution sources

Publications (2)

Publication Number Publication Date
CN113240203A true CN113240203A (en) 2021-08-10
CN113240203B CN113240203B (en) 2024-04-16

Family

ID=77140016

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110665810.9A Active CN113240203B (en) 2021-06-16 2021-06-16 Method for calculating pollution contribution rate of cross section of small river in multiple pollution sources

Country Status (1)

Country Link
CN (1) CN113240203B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115796067A (en) * 2022-10-27 2023-03-14 华能伊敏煤电有限责任公司 Analysis method for evaluating influence of water intake on concentration of pollutants at downstream of river
CN117314023A (en) * 2023-11-29 2023-12-29 智瑞碳(天津)科技有限公司 Atmospheric pollution data analysis method, system and computer storage medium
CN117371325A (en) * 2023-10-25 2024-01-09 中节能天融科技有限公司 Method, equipment and medium for calculating contribution degree of pollutant discharged from port into river section

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08128079A (en) * 1994-10-31 1996-05-21 Fuji Electric Co Ltd Estimating method of pollutant spreading state in distributing water pipe network and displaying method of estimated result
JP2007065966A (en) * 2005-08-31 2007-03-15 Yamatake Corp River pollution load source estimation device, method and program
CN104933300A (en) * 2015-06-03 2015-09-23 中国农业科学院农业资源与农业区划研究所 Calculation method of drainage basin agricultural non-point source pollutant riverway reduction coefficient
CN107315912A (en) * 2017-06-21 2017-11-03 河海大学 A kind of medium and small dendritic pollution of river thing concentration prediction and pollutant carrying capacity computational methods
CN108460519A (en) * 2018-01-31 2018-08-28 扬州大学 Small-sized river pollutant carrying capacity disaster risk estimation method under pollution sources center of gravity generalization
CN110189064A (en) * 2019-07-03 2019-08-30 中国环境科学研究院 The recognition methods and system of section overproof water quality risk pressure source based on big data
CN111651855A (en) * 2020-04-23 2020-09-11 中国地质大学（武汉） Physical model-based river network area water quality section pollution contribution rate accounting method
CN112417788A (en) * 2020-11-30 2021-02-26 重庆市生态环境大数据应用中心 Water environment pollution analysis system and method based on big data
CN112632714A (en) * 2020-10-27 2021-04-09 武汉祁联生态科技有限公司 Water quality section pollution contribution rate calculation method based on water quality model and pollutant reduction mechanism

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08128079A (en) * 1994-10-31 1996-05-21 Fuji Electric Co Ltd Estimating method of pollutant spreading state in distributing water pipe network and displaying method of estimated result
JP2007065966A (en) * 2005-08-31 2007-03-15 Yamatake Corp River pollution load source estimation device, method and program
CN104933300A (en) * 2015-06-03 2015-09-23 中国农业科学院农业资源与农业区划研究所 Calculation method of drainage basin agricultural non-point source pollutant riverway reduction coefficient
CN107315912A (en) * 2017-06-21 2017-11-03 河海大学 A kind of medium and small dendritic pollution of river thing concentration prediction and pollutant carrying capacity computational methods
CN108460519A (en) * 2018-01-31 2018-08-28 扬州大学 Small-sized river pollutant carrying capacity disaster risk estimation method under pollution sources center of gravity generalization
CN110189064A (en) * 2019-07-03 2019-08-30 中国环境科学研究院 The recognition methods and system of section overproof water quality risk pressure source based on big data
CN111651855A (en) * 2020-04-23 2020-09-11 中国地质大学（武汉） Physical model-based river network area water quality section pollution contribution rate accounting method
CN112632714A (en) * 2020-10-27 2021-04-09 武汉祁联生态科技有限公司 Water quality section pollution contribution rate calculation method based on water quality model and pollutant reduction mechanism
CN112417788A (en) * 2020-11-30 2021-02-26 重庆市生态环境大数据应用中心 Water environment pollution analysis system and method based on big data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"北京怀柔区雁栖河流域污染负荷贡献率研究", 《资源节约与环保》, 31 December 2016 (2016-12-31) *
PREETI CHAWLA: "Prediction of pollution potential of Indian rivers using empirical equation consisting of water quality parameters", 《 2015 IEEE TECHNOLOGICAL INNOVATION IN ICT FOR AGRICULTURE AND RURAL DEVELOPMENT (TIAR)》, 30 November 2015 (2015-11-30) *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115796067A (en) * 2022-10-27 2023-03-14 华能伊敏煤电有限责任公司 Analysis method for evaluating influence of water intake on concentration of pollutants at downstream of river
CN115796067B (en) * 2022-10-27 2023-11-14 华能伊敏煤电有限责任公司 Analysis method for evaluating influence of water intake on concentration of pollutants in downstream of river
CN117371325A (en) * 2023-10-25 2024-01-09 中节能天融科技有限公司 Method, equipment and medium for calculating contribution degree of pollutant discharged from port into river section
CN117371325B (en) * 2023-10-25 2024-06-07 中节能数字科技有限公司 Method, equipment and medium for calculating contribution degree of pollutant discharged from port into river section
CN117314023A (en) * 2023-11-29 2023-12-29 智瑞碳(天津)科技有限公司 Atmospheric pollution data analysis method, system and computer storage medium
CN117314023B (en) * 2023-11-29 2024-02-20 智瑞碳(天津)科技有限公司 Atmospheric pollution data analysis method, system and computer storage medium

Also Published As

Publication number Publication date
CN113240203B (en) 2024-04-16

Similar Documents

Publication Publication Date Title
CN113240203A (en) Method for calculating pollution contribution rate of medium and small river channel sections of multiple pollution sources
CN107315912B (en) Method for predicting concentration of pollutants in medium and small-branch type river channel and calculating pollutant carrying capacity
US20220358266A1 (en) Method and system of sudden water pollutant source detection by forward-inverse coupling
CN110458359B (en) Plain river network water yield and water quality optimization regulation and control method based on incomplete sewage interception condition
CN112417721B (en) Water pollution tracing method and system based on two-dimensional finite element method diffusion model
CN105278492B (en) A kind of intelligent monitor system and method for region blowdown
Riahi-Madvar et al. An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS
WO2023025329A1 (en) Method and device for determining pollution emission on basis of digital basin space-time model
CN108009736A (en) A kind of water quality early-warning and predicting system and water quality early-warning and predicting method
Frejo et al. Feed-forward ALINEA: A ramp metering control algorithm for nearby and distant bottlenecks
CN110210674B (en) Method for predicting influence of river sewage discharge outlet arrangement in plain river network area on river channel water quality
CN102313796A (en) Soft measuring method of biochemical oxygen demand in sewage treatment
CN113505471B (en) River section pollutant concentration prediction calculation method
CN113902172A (en) Sewage treatment method, system, device and medium
Seifi et al. Improving one-dimensional pollution dispersion modeling in rivers using ANFIS and ANN-based GA optimized models
CN112883644A (en) Dynamic water environment management method
CN109613197B (en) Water quality monitoring early warning feedback response method based on river course water network
CN111724058B (en) River type drinking water source area protection system based on water intake water quality safety
CN112711840A (en) Watershed sudden water pollution tracing method based on cloud edge cooperation
CN114858207A (en) Soft measurement-based gridding source tracing investigation method for drain outlet of river channel
Zhai et al. Hazardous chemical accident prediction for drinking water sources in Three Gorges Reservoir
CN208654841U (en) A kind of water quality early-warning and predicting system
CN111103414A (en) Intelligent river channel supervision system
Mark et al. An analytical model for solute mixing in surcharged manholes
CN113158591B (en) Method for determining bearing capacity of basin land development and utilization

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
GR01 Patent grant
GR01 Patent grant