Method for tracing sudden heavy metal water pollution

A heavy metal and water pollution technology, applied in the fields of artificial intelligence and water environment science, can solve problems such as long search time

Pending Publication Date: 2021-06-08
中国科学院沈阳计算技术研究所有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Through the hydrodynamic inversion method to trace the source, it is found that there are many problems that are easy to fall into the local optimum and the search time is long. The technical problem to be solved by the present invention is to overcome the local extremum and obtain the global extremum, fast and accurate search

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  • Method for tracing sudden heavy metal water pollution
  • Method for tracing sudden heavy metal water pollution
  • Method for tracing sudden heavy metal water pollution

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Embodiment Construction

[0061] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0062] Such as figure 1 As shown, a method for tracing the source of sudden heavy metal water pollution, the specific steps are as follows:

[0063] Step 1: Automatic monitoring station early warning, according to the pollutant name and pollution scope information at the automatic monitoring station, through the preliminary screening of the existing enterprise investigation list database, the primary list of pollution sources is obtained.

[0064] The types of enterprise screening lists are shown in Table 1:

[0065] Table 1

[0066]

[0067] The primary selection list is: according to the scope of pollution and the name of the pollutant, the list of enterprises that discharge the heavy metal pollutant within the scope of river pollution is screened out from the database of the enterprise screening list.

[0068] Step 2: First, according to...

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Abstract

The invention relates to a method for tracing sudden heavy metal water pollution. The method comprises the following steps: firstly, obtaining a primary selection list of a pollution source through an existing enterprise troubleshooting list database; meanwhile, selecting a proper hydrodynamic equation for simulation according to the characteristics of the heavy metal pollutants, and acquiring a hydrodynamic simulation database by simulation according to hydrological information and pollutant information of the automatic monitoring station, through a space-time traceability model, carrying out traceability solving by an artificial fish swarm algorithm, and the discharge position and discharge time of an output pollution source; and then through a pollutant discharge amount model, carrying out traceability solving through an improved artificial fish swarm algorithm to output pollutant discharge quality, and through output results of the two models, optimizing the primary selection list to obtain an optimized list; and finally, acquiring a checking list by probability calculation. The effectiveness of the method is verified through related experiments. According to the invention, the position, the discharge time and the total discharge amount of the pollution source can be obtained more quickly and accurately.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and water environment science, in particular to a method for tracing the source of sudden heavy metal water pollution. Background technique [0002] In recent years, due to the frequent occurrence of sudden heavy metal water pollution incidents at home and abroad, domestic and foreign attention to this incident is extremely high, and solutions are actively sought. The biggest feature of my country's water resources is the uneven regional distribution, and our country is a populous country, and the water shortage situation is also a problem that our country has been solving. There are more than 40 transboundary rivers in my country, involving 19 major countries. Once a serious incident occurs, heavy metal pollutants will not only cause great harm to the water environment and human body, but will even affect social security and international friendly relations. After investigation and analys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/00G06F111/10G06F111/08
CPCG06N3/006
Inventor 王宁姜秋俚周晓磊李欣欣刘枢魏建勋张楠王继娜贾澍宋春梅毛立爽
Owner 中国科学院沈阳计算技术研究所有限公司
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