School of Management, China University of Mining and Technology, Xuzhou, 221116, China; Center for Environmental Management and Economics Policy Research, China University of Mining and Technology, Xuzhou, 221116, China.
School of Management, China University of Mining and Technology, Xuzhou, 221116, China; Center for Environmental Management and Economics Policy Research, China University of Mining and Technology, Xuzhou, 221116, China.
J Environ Manage. 2020 Aug 15;268:110703. doi: 10.1016/j.jenvman.2020.110703. Epub 2020 May 14.
Air pollution, especially haze pollution is a serious environment problem that directly affects the sustainable development in China. Identifying the key factors affecting PM2.5 concentration and the interaction mechanism between them through quantitative analysis can greatly help a city devise PM2.5 pollution control strategy. Using the geographical detector model, we quantitative measured 13 cities in the Beijing-Tianjin-Hebei region's social factors and their interaction impacts on PM2.5 concentration in 2016. In the analysis process, factor analysis method is used to separate the factors preliminary. According to the results, the factors mainly divided into two categories, i.e. economic factor and environment factor. R&D ranks top in the studied cities in terms of factor detection results, presenting closely relationship between PM2.5 concentration and R&D. We also find the interaction between any two factors all enhance impact on PM2.5 concentration than any one alone. This study provided a scientific basic and guidance for measure the driving degree of social factors and their interaction effects.
空气污染,尤其是雾霾污染是一个严重的环境问题,直接影响着中国的可持续发展。通过定量分析来识别影响 PM2.5 浓度的关键因素及其相互作用机制,可以极大地帮助城市制定 PM2.5 污染控制策略。本文利用地理探测器模型,定量测量了 2016 年京津冀地区 13 个城市的社会因素及其对 PM2.5 浓度的相互作用影响。在分析过程中,采用因子分析方法对因素进行初步分离。根据结果,这些因素主要分为两类,即经济因素和环境因素。在研究的城市中,研发排名最高,表明 PM2.5 浓度与研发之间存在密切关系。我们还发现,任何两个因素之间的相互作用都比任何一个因素单独作用对 PM2.5 浓度的影响更大。本研究为衡量社会因素及其相互作用的驱动程度提供了科学依据和指导。