摘要
空气质量问题一直以来都是人们所重视的问题,尤其是随着经济的快速发展所带来的环境效应已不容忽视。本文基于模糊综合评价法的应用,以京津冀13个地级市为研究对象,以PM10、SO2、NO2为评价因子,通过各地级市所公布的环境年报数据以及环境空气质量标准,进一步确定京津冀城市群的空气质量评价集合,并根据数据确定指数隶属度函数以及权重集合,对京津冀13个城市群2016~2020年的环境空气质量进行综合分析。研究结果表明:京津冀各地级市在2016~2020年污染程度总体趋势向好,其中北京市在2016年其污染程度较重经过一系列政策措施调整在2020年在污染方面取得了效果。根据三种污染物的权重表明NO2是京津冀地级市主要的污染源,整体上城市集群呈现分散型的污染程度分布状况。此次评价结果能够为后续对于京津冀城市群污染防治提供有用的参考依据。
Air quality has always been an important issue for people, especially with the rapid economic development brought about by the environmental effects can no longer be ignored. Based on the application of fuzzy comprehensive evaluation method, this paper takes 13 prefecture-level cities in Beijing-Tianjin-Hebei as the research object, takes PM10, SO2 and NO2 as the evaluation factors, further determines the air quality evaluation set of Beijing-Tianjin-Hebei city cluster through the environmental annual report data published by each prefecture-level city and the ambient air quality standards, and determines the index affiliation function as well as the weight set based on the data, and makes a comprehensive analysis of 13 city clusters in Beijing-Tianjin-Hebei The comprehensive analysis of the ambient air quality of 13 city clusters in Beijing, Tianjin and Hebei from 2016 to 2020 was conducted. The results of the study show that the overall trend of pollution level in Beijing-Tianjin-Hebei prefecture-level cities in 2016~2020 is positive, among which Beijing in 2016 its pollution level is heavier after a series of policy measures to adjust in 2020 in terms of pollution has achieved results. According to the weight of the three pollutants shows that is the main source of pollution in Beijing-Tianjin-Hebei prefecture-level cities, the overall urban clusters show a decentralized distribution of pollution levels. The results of this evaluation can provide a useful reference basis for the subsequent pollution prevention and control for the Beijing-Tianjin-Hebei city cluster.
出处
《运筹与模糊学》
2023年第3期1525-1536,共12页
Operations Research and Fuzziology