Evaluation of Ambient Air Quality Ranking in Harbin Based on Principal Component Analysis and Comprehensive Score Method

2022 International Conference on Environmental Science and Green Energy (ICESGE) Pub Date : 2022-12-09 DOI:10.1109/ICESGE56040.2022.10180323

Zhihao Zhang, Jiazhuo Qi, Jun-jian Ma, Xiaoyan Wang, Fengying Zhang, Yanan Li

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Abstract

This research uses the principal component comprehensive score approach to rank and evaluate the ambient air quality of the Harbin urban area and administrative region during the last two years in a more scientific and rational manner. After analyzing the ambient air quality data from 2020 to 2021 by SPSS26.0, the results show that the top five districts in the comprehensive score of ambient air quality are Fangzheng County, Bin County, Tonghe County, Wuchang City, and Mulan County. The last five districts are Nangang District, Xiangfang District, Daoli District, Daowai District, and Pingfang district. This method gives weight to the evaluation indicators to make the indicators with more significant impact factors play a more prominent role in the evaluation. Moreover, it removes redundant information in the indicators and makes the assessment results more scientific and reasonable. Significantly, the research can also be extended to the ranking evaluation of various environmental elements, providing a new idea for formulating assessment and evaluation policies of ecological environment quality.

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基于主成分分析和综合评分法的哈尔滨市环境空气质量等级评价

本研究采用主成分综合评分法对哈尔滨市城区和行政区域近两年的环境空气质量进行了较为科学合理的排名和评价。利用SPSS26.0软件对2020 - 2021年的环境空气质量数据进行分析，结果表明，环境空气质量综合得分前5位的区分别是方正县、宾县、通河县、武昌市和木兰县。后五个区分别是南岗区、香坊区、道里区、道外区和平房区。该方法对评价指标赋予权重，使影响因子越显著的指标在评价中发挥的作用越突出。剔除了指标中的冗余信息，使评价结果更加科学合理。值得注意的是，该研究还可以扩展到各种环境要素的排序评价，为制定生态环境质量评价政策提供新的思路。

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2022 International Conference on Environmental Science and Green Energy (ICESGE)

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