AU2021106281A4 - Method for determining river water environmental capacity based on water quality target of water function zone - Google Patents
Method for determining river water environmental capacity based on water quality target of water function zone Download PDFInfo
- Publication number
- AU2021106281A4 AU2021106281A4 AU2021106281A AU2021106281A AU2021106281A4 AU 2021106281 A4 AU2021106281 A4 AU 2021106281A4 AU 2021106281 A AU2021106281 A AU 2021106281A AU 2021106281 A AU2021106281 A AU 2021106281A AU 2021106281 A4 AU2021106281 A4 AU 2021106281A4
- Authority
- AU
- Australia
- Prior art keywords
- capacity
- water quality
- pollution source
- water
- points
- 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.)
- Ceased
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000007613 environmental effect Effects 0.000 title claims description 7
- 239000010865 sewage Substances 0.000 claims abstract description 53
- 238000005457 optimization Methods 0.000 claims abstract description 37
- 239000006185 dispersion Substances 0.000 claims abstract description 28
- 230000004044 response Effects 0.000 claims abstract description 22
- 230000008859 change Effects 0.000 claims abstract description 4
- 239000003344 environmental pollutant Substances 0.000 claims description 20
- 231100000719 pollutant Toxicity 0.000 claims description 20
- 238000005259 measurement Methods 0.000 claims description 4
- 238000000746 purification Methods 0.000 claims description 4
- 238000003646 Spearman's rank correlation coefficient Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000005309 stochastic process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Sewage (AREA)
Abstract
The invention relates to a method for determining the water environment capacity of a river
based on the water quality target of a water function zone. A computer is used to determine the
river catchment range in the water function zone; the water quality change trend of each river in
recent years is obtained; according to the pollution source response parameters and the current risk
controllable capacity of the dispersion sewage points, construct a pollution source optimization
water quality numerical model; whether there is an optimal solution in the pollution source
optimization water quality numerical model as a judgment basis, The maximum allowable
discharge capacity are determined by the current risk controllable capacity of the dispersion
sewage points. The method of the invention is simple and has high precision, and can determine
the allowable sewage discharge capacity of the water environment considering each sewage
discharge point of the river.
Description
Method for determining river water environmental capacity based on
water quality target of water function zone
The invention belongs to the technical field of water environment management, and specifically relates to a method for determining the water environment capacity of a river based on the water quality target of a water function zone.
At present, the calculation methods of water environment capacity are mainly divided into two categories: deterministic methods and uncertain methods. Among them, the deterministic method uses the mechanism water quality model as the main tool, which mainly includes analytical formula method, model trial and error method, and simulation optimization method. Uncertainty factors are introduced through restrictive conditions to express requirements for safety and control risks, and calculate The result is a fixed value. Analytical formula method uses steady-state water quality model to directly calculate, it has a small workload and is the most widely used, but it has low accuracy and cannot be used to calculate dynamic water environment capacity. The model trial-and-error method adopts the dynamic water quality model to repeatedly calculate, and the calculation accuracy is high, but the calculation efficiency is relatively low. The simulation optimization method based on the planning theory, which organically combines the simulation method and the optimization method, the method is flexible and can greatly improve the efficiency and accuracy, but the concept of its capacity and total amount is almost synonymous, which is different from the connotation of domestic water environment capacity, It puts more emphasis on the distribution of total pollutants. The uncertainty method analyzes and calculates the water environment capacity or the value range of the capacity under a certain level of reliability from the perspective of uncertainty. Among them, the water quality stochastic process method based on the deterministic model, the stochastic differential equation model method and gray (Parameter) The water quality planning method is not widely used due to the limitation of interval value on the distribution and the complexity of mathematical processing.
The purpose of the present invention is to provide a simple calculation method with high accuracy and capable of distributing pollutant discharge to scattered pollutant discharge points. The specific technical solutions are: A method for determining the water environment capacity of a river based on the water quality target of a water function zone, including the following steps: (1) Using ArcGIS software and the method of combining actual river data corrected by GPS positioning, using a computer to determine the river catchment area in the water function zone; (2) Collect river water quality monitoring data in recent years, use the comprehensive pollution index method to evaluate the water quality of the rivers in the water function area, and analyze the current status of the river; use the spearman rank correlation coefficient to analyze the water quality trend, and obtain the water quality of each river in recent years change trend; (3) Obtain pollution source response parameters, where the pollution source response parameters include the discharge volume of each indicator pollutant in the drainage area, the position of the dispersion discharge points in the drainage area and the discharge volume during the measurement period, as well as the discharge location of the pollution source, and the discharge of pollutants, quantity and type of pollutants; said pollutants include COD, NH3-N and TP water quality indicators; (4) Construct a pollution source optimization water quality numerical model, according to the pollution source response parameters and the current risk controllable capacity of dispersion sewage points; (5) Determine the maximum allowable discharge capacity of dispersion sewage points based on the current risk controllable capacity of the dispersion sewage points and whether there is an optimal solution in the pollution source optimization water quality numerical model. In step (4), the pollution source optimization water quality numerical model includes: objective function and constraints; The objective function is the self-purification capacity of the drainage area; The constraints include the ecological function constraints of the drainage area, the pollution source total drainage quantity restriction, the pollution source discharge demanding restriction, and the drainage area environmental safety restriction. Step (5) includes the following sub-steps: (5.1) Solve the optimization pollution source water quality numerical model; (5.2) If there is an optimal solution for the pollution source optimization water quality numerical model, then adjust the current allowable capacity of the scattered pollution points to the current risk controllable capacity of the dispersion sewage points; (5.3) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is less than or equal to the preset safety threshold, the adjusted allowable capacity is determined as the maximum allowable discharge capacity of the dispersion sewage points. Step (5) also includes the following sub-steps: (5.4) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is greater than the preset safety threshold, then according to the adjusted allowable capacity and the current non-discharge point allowable capacity, adjust the current risk controllable capacity of dispersion sewage points; (5.5) Then execute the described pollution source response parameters and the current risk controllable capacity of the dispersion sewage points to construct a pollution source optimization water quality numerical model. Step (5) also includes the following sub-steps: (5.6) If there is no optimal solution for the pollution source optimization water quality numerical model, adjust the current disallowed capacity of the dispersion sewage points to the current risk controllable capacity of the dispersion sewage points; (5.7) According to the adjusted disallowed capacity and the current allowable capacity of the dispersion sewage points, adjust the current risk controllable capacity of the dispersion sewage points, and then execute the current risk according to the pollution source response parameters and the dispersed discharge points controllable capacity and construct a pollution source optimization water quality numerical model. Step (5) also includes the following sub-steps: (5.8) Calculate the mean value of the adjusted allowable capacity and the current disallowed capacity of the dispersed sewage points as the primary mean value, and adjust the current risk controllable capacity of the dispersion sewage points to the primary mean value; (5.9) The adjustment of the current risk controllable capacity of the dispersed sewage point according to the adjusted disallowed capacity and the current allowable capacity of the dispersed sewage point includes: calculating the current allowable capacity of the adjusted impermissible capacity and the current allowable capacity of the dispersed sewage point, the average value of the allowable capacity is used as the secondary average value, and the current risk controllable capacity of the dispersion sewage points is adjusted to the secondary average value. The advantages of the present invention mainly include: The method for determining the water environment capacity of the river based on the water quality target of the water function zone provided by the present invention can construct a pollution source optimization water quality numerical model according to the pollution source response parameters and the current risk controllable capacity of the dispersed sewage points, and then use the pollution source to optimize whether the water quality numerical model exists The optimal solution is used as the basis for judgment. According to the current risk controllable capacity of the scattered sewage points, the maximum allowable discharge capacity of the scattered sewage points is determined. The method is simple and accurate, and the allowable sewage capacity of the water environment of each sewage point of the rivercan be determined.
The present invention will be further described below in conjunction with specific embodiments, but the protection scope of the present invention is not limited to this. First, establish a complete river water environment capacity management system, including parameter acquisition module, model construction module and allowable discharge capacity determination module; The parameter acquisition module is used to acquire the pollution source response parameters, where the pollution source response parameters include the pollutant discharge volume of each indicator pollutant in the watershed, the position of the scattered discharge point in the watershed and the discharge volume during the measurement period, as well as the pollution source's discharge location and pollutants Pollutant discharge and types of pollutants; The model building module is used to construct a pollution source optimization water quality numerical model according to the pollution source response parameters and the current risk controllable capacity of the dispersed sewage points; the pollution source optimization water quality numerical model includes: objective function and constraints; The objective function is the self-purification capacity of the basin; Constraints include: river basin ecological function restriction, total pollution source discharge restriction, pollution source discharge demand restriction, and watershed environmental safety restriction. The allowable discharge capacity determination module is used to determine the maximum allowable discharge capacity of scattered pollution points based on the current risk controllable capacity of the scattered pollution points based on whether there is an optimal solution in the pollution source optimization water quality numerical model. The allowable discharge capacity determination module includes: model solving sub-module, allowable capacity adjustment sub-module, allowable discharge capacity determination sub-module and primary risk controllable capacity adjustment sub-module; model solving sub-module, used to solve the pollution source optimization water quality numerical model; allowable capacity The adjustment sub-module is used to adjust the current allowable capacity of the dispersed sewage point to the current risk controllable capacity of the dispersed sewage point when there is an optimal solution in the numerical model for optimizing the water quality of the pollution source; the allowable discharge capacity determination sub-module is used for the current When the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is less than or equal to the preset safety threshold, the adjusted allowable capacity is determined as the maximum allowable discharge capacity of the scattered sewage points; The primary risk controllable capacity adjustment sub-module is used when the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is greater than the preset safety threshold, according to the adjusted allowable capacity and the current status of the scattered discharge points. Allowable capacity, adjust the current risk controllable capacity of the scattered pollution points, and then start the model building module to construct a pollution source optimization water quality numerical model based on the pollution source response parameters and the current risk controllable capacity of the scattered pollution points. The allowable discharge capacity determination module also includes: the disallowed capacity adjustment sub-module and the secondary risk controllable capacity adjustment sub-module; the disallowed capacity adjustment sub-module is used to disperse when the pollution source optimization water quality numerical model does not have an optimal solution The current disallowed capacity of the discharge point is adjusted to the current risk controllable capacity of the scattered discharge point; the secondary risk controllable capacity adjustment sub-module is used to adjust according to the adjusted disallowed capacity and the current allowable capacity of the dispersed discharge point The current risk controllable capacity of the scattered sewage points, and then the model building module is started to construct a pollution source optimization water quality numerical model based on the pollution source response parameters and the current risk controllable capacity of the scattered sewage points. Using the above management system, the method for determining the water environment capacity of the river based on the water quality target of the water function zone is adopted, including the following steps: (1) Using ArcGIS software and the method of combining actual river data corrected by GPS positioning, using a computer to determine the river catchment area in the water function zone; (2) Collect river water quality monitoring data in recent years, use the comprehensive pollution index method to evaluate the water quality of the rivers in the water function area, and analyze the current status of the river; use the spearman rank correlation coefficient to analyze the water quality trend, and obtain the water quality of each river in recent years Change trend (3) Obtain pollution source response parameters, where the pollution source response parameters include the discharge volume of each indicator pollutant in the watershed, the position of the scattered discharge points in the watershed and the discharge volume during the measurement period, as well as the discharge location of the pollution source, and the discharge of pollutants. Quantity and type of pollutants; said pollutants include COD, NH3-N and TP water quality indicators; (4) According to the pollution source response parameters and the current risk controllable capacity of the dispersed sewage points, construct a pollution source optimization water quality numerical model; the pollution source optimization water quality numerical model includes: an objective function and constraints; The objective function is the self-purification capacity of the basin;
The constraints include the ecological function constraints of the watershed, the total pollution source discharge restriction, the pollution source discharge demand restriction, and the watershed environmental safety restriction. (5) Determine the maximum allowable discharge capacity of the scattered pollution points based on the current risk controllable capacity of the scattered pollution points based on whether there is an optimal solution in the numerical model of the pollution source optimization water quality. Step (5) includes the following sub-steps: (5.1) Solve the optimization water quality numerical model of the pollution source; (5.2) If there is an optimal solution for the pollution source optimization water quality numerical model, then adjust the current allowable capacity of the scattered pollution points to the current risk controllable capacity of the scattered pollution points; (5.3) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is less than or equal to the preset safety threshold, the adjusted allowable capacity is determined as the maximum allowable discharge capacity of the scattered discharge points. (5.4) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is greater than the preset safety threshold, then according to the adjusted allowable capacity and the current non-discharge point Allowable capacity, adjust the current risk controllable capacity of scattered discharge points; (5.5) Then execute the described pollution source response parameters and the current risk controllable capacity of the dispersed sewage points to construct a pollution source optimization water quality numerical model. (5.6) If there is no optimal solution for the pollution source optimization water quality numerical model, adjust the current disallowed capacity of the scattered sewage points to the current risk controllable capacity of the scattered sewage points; (5.7) According to the adjusted disallowed capacity and the current allowable capacity of the dispersed discharge points, adjust the current risk controllable capacity of the dispersed discharge points, and then execute the current risk according to the pollution source response parameters and the dispersed discharge points Controllable capacity and construct a numerical model for pollution source optimization of water quality. (5.8) Calculate the mean value of the adjusted allowable capacity and the current disallowed capacity of the dispersed sewage points as the primary mean value, and adjust the current risk controllable capacity of the dispersed sewage points to the primary mean value;
(5.9) The adjustment of the current risk controllable capacity of the dispersed sewage point
according to the adjusted disallowed capacity and the current allowable capacity of the dispersed
sewage point includes: calculating the current allowable capacity of the adjusted impermissible
capacity and the current allowable capacity of the dispersed sewage point The average value of the allowable capacity is used as the secondary average value, and the current risk controllable capacity of the dispersed sewage points is adjusted to the secondary average value.
Claims (7)
1. A method for determining the water environment capacity of a river based on the water quality target of a water function zone, characterized in that it comprises the following steps: (1) Using ArcGIS software and the method of combining actual river data corrected by GPS positioning, using a computer to determine the river catchment area in the water function zone; (2) Collect river water quality monitoring data in recent years, use the comprehensive pollution index method to evaluate the water quality of the rivers in the water function area, and analyze the current status of the river; use the spearman rank correlation coefficient to analyze the water quality trend, and obtain the water quality of each river in recent years change trend; (3) Obtain pollution source response parameters, where the pollution source response parameters include the discharge volume of each indicator pollutant in the drainage area, the position of the dispersion discharge points in the drainage area and the discharge volume during the measurement period, as well as the discharge location of the pollution source, and the discharge of pollutants, quantity and type of pollutants; said pollutants include COD, NH3-N and TP water quality indicators; (4) Construct a pollution source optimization water quality numerical model, according to the pollution source response parameters and the current risk controllable capacity of dispersion sewage points; (5) Determine the maximum allowable discharge capacity of dispersion sewage points based on the current risk controllable capacity of the dispersion sewage points and whether there is an optimal solution in the pollution source optimization water quality numerical model
2. The method for determining the water environment capacity of a river based on the water quality target of a water function zone according to claim 1, wherein the pollution source optimization water quality numerical model in step (4) comprises: an objective function and constraints; The objective function is the self-purification capacity of the drainage area; The constraints include the ecological function constraints of the drainage area, the pollution source total drainage quantity restriction, the pollution source discharge demanding restriction, and the drainage area environmental safety restriction.
3. The method for determining the water environmental capacity of a river based on the water quality target of a water function zone according to claim 1 or 2, wherein step (5) includes the following sub-steps: (5.1) Solve the optimization pollution source water quality numerical model; (5.2) If there is an optimal solution for the pollution source optimization water quality numerical model, then adjust the current allowable capacity of the scattered pollution points to the current risk controllable capacity of the dispersion sewage points; (5.3) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is less than or equal to the preset safety threshold, the adjusted allowable capacity is determined as the maximum allowable discharge capacity of the dispersion sewage points. 4. The method for determining the water environment capacity of a river based on the water quality target of a water function zone according to claim 3, wherein step (5) further comprises the following sub-steps: (5.
4) If the absolute value of the difference between the adjusted allowable capacity and the pre-adjusted allowable capacity is greater than the preset safety threshold, then according to the adjusted allowable capacity and the current non-discharge point allowable capacity, adjust the current risk controllable capacity of dispersion sewage points; (5.5) Then execute the described pollution source response parameters and the current risk controllable capacity of the dispersion sewage points to construct a pollution source optimization water quality numerical model.
5. The method for determining the water environment capacity of a river based on the water quality target of a water function zone according to claim 3, wherein step (5) further comprises the following sub-steps: (5.
6) If there is no optimal solution for the pollution source optimization water quality numerical model, adjust the current disallowed capacity of the dispersion sewage points to the current risk controllable capacity of the dispersion sewage points; (5.
7) According to the adjusted disallowed capacity and the current allowable capacity of the dispersion sewage points, adjust the current risk controllable capacity of the dispersion sewage points, and then execute the current risk according to the pollution source response parameters and the dispersed discharge points controllable capacity and construct a pollution source optimization water quality numerical model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021106281A AU2021106281A4 (en) | 2021-08-21 | 2021-08-21 | Method for determining river water environmental capacity based on water quality target of water function zone |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021106281A AU2021106281A4 (en) | 2021-08-21 | 2021-08-21 | Method for determining river water environmental capacity based on water quality target of water function zone |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021106281A4 true AU2021106281A4 (en) | 2021-11-04 |
Family
ID=78476634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021106281A Ceased AU2021106281A4 (en) | 2021-08-21 | 2021-08-21 | Method for determining river water environmental capacity based on water quality target of water function zone |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021106281A4 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116402291A (en) * | 2023-03-22 | 2023-07-07 | 深圳市深圳河湾流域管理中心 | Method and system for overall scheduling of sewage in river basin of river |
-
2021
- 2021-08-21 AU AU2021106281A patent/AU2021106281A4/en not_active Ceased
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116402291A (en) * | 2023-03-22 | 2023-07-07 | 深圳市深圳河湾流域管理中心 | Method and system for overall scheduling of sewage in river basin of river |
| CN116402291B (en) * | 2023-03-22 | 2024-07-16 | 深圳市深圳河湾流域管理中心 | Method and system for overall scheduling of sewage in river basin of river |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111306612B (en) | Secondary network regulation and control method and system for heat exchange station | |
| CN112417788A (en) | Water environment pollution analysis system and method based on big data | |
| CN113392523B (en) | Sewage pipe network health condition diagnosis method based on long-duration multi-measuring-point | |
| CN111898273B (en) | River water environment capacity determination method based on water quality target of water functional area | |
| CN101944161B (en) | Calculation method of ecological water demand of wetland based on evaluation of disturbance degree of ecological system | |
| AU2021106281A4 (en) | Method for determining river water environmental capacity based on water quality target of water function zone | |
| CN106495321A (en) | Biological tank process optimization and operation control system and its control method | |
| CN111533290B (en) | Method for generating optimal operation plan library of sewage treatment process and applying complex scene | |
| CN102262147A (en) | Soft measurement method and system for effluent chemical oxygen demand (COD) of waste water treatment system | |
| CN109613197B (en) | Water quality monitoring early warning feedback response method based on river course water network | |
| CN207741811U (en) | Discharge of river real time on-line monitoring device | |
| CN105445431A (en) | Urban surface water quality analysis method | |
| CN107247888B (en) | Method for soft measurement of total phosphorus TP (thermal transfer profile) in sewage treatment effluent based on storage pool network | |
| CN113651402B (en) | Water treatment chlorination control method and device | |
| CN116614525A (en) | Big data analysis-based land parcel soil environment rapid monitoring system | |
| CN105717054A (en) | Detection method and detection device for online detection of scale and corrosion inhibitor concentration in circulating cooling water and circulating cooling water treatment control system | |
| CN105675838B (en) | A based on data-driven2/ O flow water outlet total phosphorus intelligent detecting methods | |
| CN115422850A (en) | Method for judging pollution contribution rate of river inflow river drain outlet based on EFDC and edge calculation | |
| CN117929671A (en) | Watershed water environment prediction and early warning method, system and computer equipment | |
| CN115936923A (en) | Intelligent water affair management information system | |
| CN109633111B (en) | Lake and reservoir grey water footprint evaluation method and application thereof | |
| CN110848578B (en) | PDD model-based existing leakage positioning method for urban water supply pipe network | |
| CN113158591A (en) | Method for determining utilization bearing capacity of river basin land development | |
| CN104977847A (en) | Stable-state condition discrimination method facing atmospheric and vacuum optimization | |
| CN107292527B (en) | Urban drainage system performance evaluation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |