CN109613197B - Water quality monitoring early warning feedback response method based on river course water network - Google Patents
Water quality monitoring early warning feedback response method based on river course water network Download PDFInfo
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- CN109613197B CN109613197B CN201910036314.XA CN201910036314A CN109613197B CN 109613197 B CN109613197 B CN 109613197B CN 201910036314 A CN201910036314 A CN 201910036314A CN 109613197 B CN109613197 B CN 109613197B
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Abstract
The invention discloses a water quality monitoring, early warning and feedback response method based on a river water network, which comprises the following steps: establishing a geographical position relationship among river water networks to form an integrated river water network model; calculating the pollution inflow and outflow processes of all monitoring stations; calculating the pollutant variable quantity in the measurement time interval t of each monitoring station; calculating the relation between the actual pollutant increment and the standard water quality variation P in a certain period of each monitoring station so as to generate a water quality feedback response fx of the station as Ci/P, wherein the water quality feedback response can be obtained by a water quality feedback response analysis method.
Description
Technical Field
The invention relates to the field of computer software, in particular to a water quality monitoring, early warning and feedback response method based on a river water network.
Background
China has abundant water resources, but with the continuous increase of population, the rapid development of social economy and the continuous acceleration of urbanization process, the conditions of water resource shortage, water environment pollution and water ecology damage are severe.
The river course water network is a main source of urban water and is also an urban landscape water source, and with the increasing concern of people on water quality health and living quality, the river course water quality monitoring research becomes an important research and application direction. At present, the river water pollution is mainly caused by industrial wastewater, domestic sewage and the like. The pollution sources have the characteristics of concealment, fluidity, post-emergence and the like, and in addition, the strict requirements of the government on the sewage discharge standard and the enhancement of the attack force are added, so that the sewage discharge is increasingly difficult to perceive, and meanwhile, because the river channel network is complicated, the water body exchange is frequent, the pollution sources are difficult to judge, usually, river channel inspection personnel need to carry out multi-party monitoring and inspection on the upstream and downstream pollution, so that the pollution sources cannot be found and treated in time, and a large amount of waste of time cost and labor cost is caused.
With the continuous improvement of the technical requirements of water quality monitoring, the pollution source is quickly positioned, the pollution occurrence is accurately warned, and the water pollution prevention and control become controllable and feasible. The river channel water network hydrological data model is established according to the geographical position, the upstream-downstream relation and the trunk-tributary relation, the river channel water source flowing process is calculated through the Masjing root method, the influence of the water source flowing on pollution judgment is reduced, the point source pollution amount is determined, and the pollution degree is determined by using the feedback response method.
The existing water quality monitoring system generally performs water quality analysis and early warning based on data acquired at fixed points, but due to the fluidity of a river water source, the monitoring effect achieved by the existing water quality monitoring system cannot accurately determine the time and the source of pollution discharge and the influence on the water body, still needs a large amount of manual processing, is slow in response, has no predictability, and cannot perform pollution prediction and prevention.
Disclosure of Invention
The purpose of the invention is as follows: in order to solve the defects of the prior art, the invention provides a water quality monitoring, early warning and feedback response method based on a river course water network.
The technical scheme is as follows: in order to achieve the purpose, the water quality monitoring early warning feedback response method based on the river course water network comprises the following steps:
the method comprises the following steps: establishing a geographical position relationship among river water networks to form an integrated river water network model;
step two: calculating the pollution inflow and outflow processes of all monitoring stations;
step three: calculating the pollutant variable quantity in the measurement time interval t of each monitoring station;
step four: and calculating the relation between the actual pollutant increment and the standard water quality variation P in a certain period of each monitoring station, thereby generating a water quality feedback response fx of the station, namely Ci/P, and obtaining the response by a water quality feedback response analysis method.
As a further preferable aspect of the present invention, in the first step, the river water network model calculates and introduces the water area Mi, the inflow Ai, the outflow Bi, and the pollutant mean Wi of the site area by drawing a map fence of the river area according to the arranged monitoring sites and by using the masjing root method, so as to implement the relationship mapping from the real information to the model.
As a further preferred aspect of the present invention, in the second step, the method for calculating the inflow and outflow of the contaminants includes: the inflow Q is A0W0+ A1W1+ … + AnWn, and the outflow S is B0W0+ B1W1+ … + BnWn.
As a further preferred aspect of the present invention, in step three, the method for calculating the amount of change in the pollutant includes: directed contaminant increase f (i) ═ Q t-S t)/MiActual increment f (t) ═ Ct–Ct-1So that the actual contaminant increment C can be calculatedi＝f(t)–f(i)。
As a further preferred aspect of the present invention: in the fourth step, when the actual incremental feedback of the pollutants is mostly positive feedback but does not exceed the threshold value within the limited time, the situation that the current area has micro continuous pollution sources is shown
And when the actual incremental feedback of the pollutants is mostly positive feedback and mostly exceeds a threshold value within a limited time, indicating that a large number of pollution sources exist in the current area.
And in a limited time, when the actual pollutant increment is fed back to the overall balance, the water quality of the current area is relatively stable.
And in a limited time, when the actual pollutant increment feedback is mostly negative feedback, the current regional water quality condition is optimized.
In a further preferred embodiment of the present invention, the limited time is counted in weeks or months, and the number, the total amount, and the average value of positive and negative feedback are analyzed.
Has the advantages that: the invention relates to a water quality monitoring and early warning feedback response method based on a river course water network, which enhances the capacity of identifying the quantity of pollutant in river course water quality monitoring, has the capacity of positioning a pollution source and predicting the pollution diffusion, establishes a dynamic and integrated monitoring and early warning system, helps river course treatment personnel to quickly and accurately realize the positioning of the pollution source, displays the regional water quality condition and the development trend, saves a large amount of labor cost and time cost, has self-adaptability and growth performance, and can be suitable for river course water network systems in different regional environments.
Drawings
FIG. 1 is a schematic flow chart of the implementation steps;
FIG. 2 is a diagram of a water quality feedback response analysis method.
Detailed Description
The invention is further elucidated with reference to the drawings and the embodiments.
As shown in fig. 1 and 2, the water quality monitoring, early warning and feedback response method based on the river water network comprises the following steps: establishing a geographical position relationship among river water networks to form an integrated river water network model; calculating the pollution inflow and outflow processes of all monitoring stations; calculating the pollutant variable quantity in the measurement time interval t of each monitoring station; and calculating the relation between the actual pollutant increment and the standard water quality variation P in a certain period of each monitoring station, thereby generating a water quality feedback response fx of the station, namely Ci/P, and obtaining the response by a water quality feedback response analysis method.
Examples
The method comprises the following steps: establishing a geographical position relationship between river water networks to form an integrated river water network model, wherein the river water network model calculates and introduces the water area Mi, inflow Ai, outflow Bi and pollutant mean value Wi of a station area by drawing a river area map fence according to the arranged monitoring stations through a Masjing root method, thereby realizing the relationship mapping from real information to the model;
step two: calculating pollution inflow and outflow processes of each monitoring station, wherein the calculation method of the pollution inflow and outflow comprises the following steps: inflow Q ═ A0W0+ A1W1+ … + AnWn, outflow S ═ B0W0+ B1W1+ … + BnWn;
step three: calculating pollutant variable quantity in a measurement time interval t of each monitoring station, wherein the calculation method of the pollutant variable quantity comprises the following steps: directed contaminant increase f (i) ═ Q t-S t)/MiActual increment f (t) ═ Ct–Ct-1So that the actual contaminant increment C can be calculatedi＝f(t)–f(i)；
Step four: calculating the relation between the actual pollutant increment and the standard water quality variation P in a certain period of each monitoring station, thereby generating a water quality feedback response fx of the station as Ci/P, and obtaining the response by a water quality feedback response analysis method;
counting in weeks or months, analyzing the number, the total amount and the average value of positive and negative feedback, and when the actual incremental feedback of pollutants is mostly positive feedback but does not exceed a threshold value, indicating that a trace amount of continuous pollution sources exist in the current area;
when the actual incremental feedback of the pollutants is mostly positive feedback and mostly exceeds a threshold value, the current area is indicated to have a large number of pollution sources.
And when the actual pollutant increment feeds back the overall balance, the water quality of the current area is relatively stable.
And when the actual pollutant increment feedback is mostly negative feedback, the current regional water quality condition is optimized.
The above embodiments are merely illustrative of the technical concepts and features of the present invention, and the purpose of the embodiments is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (2)
1. A water quality monitoring early warning feedback response method based on a river water network is characterized by comprising the following steps:
the method comprises the following steps: establishing a geographical position relationship between river water networks to form an integrated river water network model, wherein the river water network model calculates and introduces the water area Mi, inflow Ai, outflow Bi and pollutant mean value Wi of a station area by drawing a river area map fence according to the arranged monitoring stations through a Masjing root method, thereby realizing the relationship mapping from real information to the model;
step two: calculating pollution inflow and outflow processes of each monitoring station, wherein the calculation method of the pollution inflow and outflow comprises the following steps: inflow Q = A0W0+ A1W1+ … + AnWn, outflow S = B0W0+ B1W1+ … + BnWn;
step three: calculating pollutant variable quantity in a measurement time interval t of each monitoring station, wherein the calculation method of the pollutant variable quantity comprises the following steps: directed contaminant increment f (i) = (Q t-S t)/MiActual increment f (t) = Ct – Ct-1So that the actual contaminant increment C can be calculatedi=f(t) – f(i)；
Step four: calculating the relation between the actual pollutant increment and the standard water quality variation P in a certain period of each monitoring station, thereby generating a water quality feedback response fx = Ci/P of the station, and obtaining the result by a water quality feedback response analysis method;
in a limited time, when the actual incremental feedback of the pollutants is mostly positive feedback but does not exceed a threshold value, indicating that a trace continuous pollution source exists in the current area;
in a limited time, when the actual incremental feedback of pollutants is mostly positive feedback and mostly exceeds a threshold value, a large number of pollution sources exist in the current area;
in a limited time, when the actual pollutant increment is fed back to the overall balance, the water quality of the current area is stable;
and in a limited time, when the actual pollutant increment feedback is mostly negative feedback, the current regional water quality condition is optimized.
2. The riverway water network-based water quality monitoring and early warning feedback response method according to claim 1, characterized in that: the limited time is counted in weeks or months, and the number, the total amount and the average value of positive and negative feedback are analyzed.
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| CN110196083B (en) * | 2019-05-21 | 2020-10-02 | 浙江清环智慧科技有限公司 | Method and device for monitoring and identifying polluted path of drainage pipe network and electronic equipment |
| CN110793566B (en) * | 2019-10-18 | 2022-01-28 | 南京中科智慧生态科技有限公司 | Intelligent visual detection method for water floater |
| CN114818238A (en) * | 2021-01-27 | 2022-07-29 | 力合科技（湖南）股份有限公司 | Water quality monitoring data analysis method and device, equipment and storage medium |
| CN114693493B (en) * | 2022-03-31 | 2023-04-18 | 无锡生量环境工程有限公司 | IoT-based polluted river water ecological restoration system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102034001A (en) * | 2010-12-16 | 2011-04-27 | 南京大学 | Design method for distributed hydrological model by using grid as analog unit |
| CN104392100A (en) * | 2014-10-29 | 2015-03-04 | 南京南瑞集团公司 | Pollution source diffusion early-warning method based on water quality on-line monitoring system |
| CN104462863A (en) * | 2015-01-07 | 2015-03-25 | 武汉大学 | Calculation method for inquiring into river channel local inflow |
| KR101639680B1 (en) * | 2015-10-13 | 2016-07-14 | 주식회사 코비 | System for measuring non-point source contaminant and constructing method thereof |
| CN107563139A (en) * | 2017-09-06 | 2018-01-09 | 郑州大学 | A kind of point source sudden water pollution source accident source percentage contribution computational methods |
| CN108665114A (en) * | 2018-05-21 | 2018-10-16 | 河海大学 | A kind of plain river network pollution of area source water quality method of response calculation based on virtual contact |
-
2019
- 2019-01-15 CN CN201910036314.XA patent/CN109613197B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102034001A (en) * | 2010-12-16 | 2011-04-27 | 南京大学 | Design method for distributed hydrological model by using grid as analog unit |
| CN104392100A (en) * | 2014-10-29 | 2015-03-04 | 南京南瑞集团公司 | Pollution source diffusion early-warning method based on water quality on-line monitoring system |
| CN104392100B (en) * | 2014-10-29 | 2017-05-17 | 南京南瑞集团公司 | Pollution source diffusion early-warning method based on water quality on-line monitoring system |
| CN104462863A (en) * | 2015-01-07 | 2015-03-25 | 武汉大学 | Calculation method for inquiring into river channel local inflow |
| KR101639680B1 (en) * | 2015-10-13 | 2016-07-14 | 주식회사 코비 | System for measuring non-point source contaminant and constructing method thereof |
| CN107563139A (en) * | 2017-09-06 | 2018-01-09 | 郑州大学 | A kind of point source sudden water pollution source accident source percentage contribution computational methods |
| CN108665114A (en) * | 2018-05-21 | 2018-10-16 | 河海大学 | A kind of plain river network pollution of area source water quality method of response calculation based on virtual contact |
Non-Patent Citations (1)
| Title |
|---|
| 贵州南明河水环境综合整治与水质模拟;李力 等;《环境科学学报》;20180531;第38卷(第5期);1920-1928页 * |
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