River composite water quality mark index number evaluation method

Abstract

The invention is a general river water quality estimate method with index mark and relates to a new river water general quality estimate method. The invention estimate the general water quality with the help of general water quality index mark WQI which consists of the integer numbers and the numbers after arithmetic point totally three to four effective digits which is WQI=X1X2X3X4. X1 stands for the general water quality variety and X2 the location the general water quality is in in the X1 interval and X3 the compare result of the general water quality variety with water environment function area variety namely the pollution stage of the water section and X4 for the numbers of the water index marks which do not meet the water environment function section objective. The general water quality mark consists of two parts in which X1X2 is the general water quality index mark and X3X4 the marking. The invention is able to fully describle the general water quality information so to estimate the water in quality and quantity.

Description

technical field [0001] The invention relates to a river comprehensive water quality identification index evaluation method, which relates to a new river water quality comprehensive evaluation method, and the river comprehensive water quality evaluation is an important basic work in water environment management. Only through the reasonable evaluation of the water quality monitoring data can a scientific remediation plan be formulated and effective measures taken. It can be said that the rationality of the river's overall water quality evaluation will directly affect the decision-making. Background technique [0002] At present, the commonly used comprehensive water quality evaluation methods for rivers are as follows: one is to select the worst index according to the national standard and evaluate according to classification; the other is the pollution index method; the third is the fuzzy comprehensive index method; the fourth is the BP neural network method. These methods h...

AI Technical Summary

Problems solved by technology

Its shortcoming is that the calculation is complicated, and the quantitative evaluation results of water types I to V are not intuitive.

[0006] The evaluation result of BP artificial neural network method is "continuous water quality category", but the calculation method is complicated, the selection of samples in the evaluation process is not fixed, and the qualitative evaluation results are not intuitive

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