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Improved Nemerow Pollution Index Water Quality Evaluation Method Based on Principal Component Analysis

A principal component analysis and pollution index technology, which is applied in data processing applications, general water supply saving, special data processing applications, etc. The effect of enriching methods and ideas

Active Publication Date: 2020-09-08
ANHUI UNIV OF SCI & TECH +4
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  • Application Information

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Problems solved by technology

The disadvantage is its own "maximum value effect". The maximum value of an indicator variable will greatly increase the entire Nemerow comprehensive pollution index, thus distorting the evaluation
In response to this phenomenon, domestic scholars have proposed some correction ideas, most of which are cumbersome to operate and not easy to apply in practice

Method used

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  • Improved Nemerow Pollution Index Water Quality Evaluation Method Based on Principal Component Analysis
  • Improved Nemerow Pollution Index Water Quality Evaluation Method Based on Principal Component Analysis
  • Improved Nemerow Pollution Index Water Quality Evaluation Method Based on Principal Component Analysis

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Embodiment Construction

[0028] Such as figure 1 As shown, the improved Nemerow pollution index water quality evaluation method based on principal component analysis includes the following steps:

[0029] Step A, select the national water quality standard, select p water quality indicators for m water samples to participate in the evaluation, and the original measurement value of the jth indicator of the i-th water sample is c ij .

[0030] Step B, the original measured value c in step A ij Perform data standardization processing by the following formula to obtain yij.

[0031]

[0032] Step C, the normalized result y in step B ij Establish a correlation coefficient matrix for correlation analysis among water quality indicators. If the correlation between water quality indicators greater than or equal to 60% is greater than or equal to 0.3, proceed to step D.

[0033] Step D, for the normalized result y in step B ij Carry out principal component analysis, and determine z water quality indicato...

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Abstract

The invention discloses a water quality evaluation method for improving Nemerow pollution index based on principal component analysis, and relates to the field of water quality evaluation methods, comprising the following steps: selecting a national standard for water quality, summarizing participating indexes; completing the standardization of water quality index data; establishing variable correlation coefficient matrix; principal component analysis and determination of correction indicators; calculation of Nemerow index for water quality evaluation. Based on the principal component analysis theory, using its dimensionality reduction characteristics, using a small amount of index information to represent the majority, combined with the Nemerow pollution index method, combining the advantages of the two evaluation methods, the evaluation results obtained are reasonable and reliable, and can be more scientifically responded water quality.

Description

technical field [0001] The invention relates to the field of water quality evaluation methods, in particular to a water quality evaluation method based on principal component analysis to improve the Nemerow pollution index. Background technique [0002] Water quality assessment is an important part of water environment quality assessment. Since the development in the 1960s, there are many water quality evaluation methods, such as index evaluation method, fuzzy evaluation method, gray evaluation method, matter-element analysis method and artificial neural network method. Nemerow's comprehensive pollution index method is widely used in water quality and soil evaluation, and its advantages are simple calculation and direct quantitative expression of pollution degree. The disadvantage is its own "maximum value effect". The maximum value of an indicator variable will greatly increase the entire Nemerow comprehensive pollution index, thus distorting the evaluation. In response t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62
CPCG06F30/20G06F18/2135Y02A20/152
Inventor 李俊桂和荣胡杰胡荣杰丁鹏飞关磊声夏玉婷
Owner ANHUI UNIV OF SCI & TECH
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