A method for multi-level comprehensive evaluation of air quality data

Abstract

The invention discloses a multi-level comprehensive evaluation method for air quality data. The method includes the following steps: a. determine the evaluation factors according to the air quality data, and establish the evaluation standard set with reference to the national air quality standards; b. According to the calculated fuzzy relationship matrix, use the entropy method to determine the weight of each evaluation factor; d calculate the single-level evaluation result according to the fuzzy relationship matrix and the weight of each evaluation factor; e according to the single-level evaluation The results are calculated to obtain multi-level evaluation results. The method of the invention greatly reduces the influence of subjective factors such as air quality data and human factors on the evaluation results, makes the evaluation results more comprehensive, objective and true, and is of great significance for effectively reflecting the regional air quality conditions.

Description

technical field [0001] The invention belongs to the technical fields of air pollution evaluation and prevention and environmental engineering, and in particular relates to a multi-level comprehensive evaluation method for air quality data. Background technique [0002] Air quality evaluation is an important part of air pollution prevention and control, and also an important aspect of environmental quality evaluation. Air quality evaluation refers to the qualitative or quantitative evaluation of air quality status with certain evaluation methods according to different purposes and needs, according to certain principles and evaluation criteria. With the acceleration of my country's industrial modernization process and urbanization process, factors such as unreasonable energy and industrial structure and the increase of urban motor vehicle ownership have made the urban air pollution situation increasingly severe. Therefore, a comprehensive and comprehensive analysis of the air ...

AI Technical Summary

Problems solved by technology

Guleda Onkal-Engin and others used the fuzzy comprehensive evaluation method to evaluate the air quality in the international journal "Atmospheric Environment" No. 38, pages 3809-3815 "Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation". The determination of weights in the method depends on expert knowledge, which will cause deviations in the evaluation results due to human subjective factors

In the entropy-based fuzzy comprehensive evaluation method proposed later, the determination of the relationship matrix depends on the sample value, resulting in the evaluation result changing with the change of the sample value.

In addition, the above-mentioned evaluation methods are single-level evaluation, which greatly reduces the effectiveness of the evaluation results, and cannot accurately judge the air quality data objectively and truly.

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