Department of Land Resources Management, School of Public Administration, Zhejiang Gongshang University, 18 Xuezheng St., Xiasha University Town, Hangzhou, 310018, China.
Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND, 58108, USA.
Environ Sci Pollut Res Int. 2021 Jul;28(27):36234-36258. doi: 10.1007/s11356-021-12825-w. Epub 2021 Mar 9.
Urban air pollution, especially in the form of haze events, has become a serious threat to socio-economic development and public health in most developing countries. It is of great importance to assess the frequency of urban air pollution occurrence and its influencing factors. The objective of our study is to develop consistent methodologies for constructing an index system and for assessing the influencing factors of the urban air pollution occurrence based on the Driver-Pressure-State-Impact-Response (DPSIR) framework by incorporating spatial analysis, geographical detector, and geographically weighted regression models. The 27 influencing factors were selected for assessing their influences on the urban air pollution occurrence in 337 Chinese cities. The results indicate that the spatial pattern of the urban air pollution in China was mostly consistent with the Chinese population-based Hu Line. Urban air pollution frequently occurred in North China, Central China, Northeast China, and East China, and displayed strong seasonality. The influencing factors of urban air pollution were complex and diverse, varying from season to season. Influencing factor analysis also shows that the explanatory power between any two influencing factors was greater than that of a single influencing factor of the urban air pollution. Furthermore, most influencing factors had both positive and negative effects and local effects on urban air pollution. Finally, we put forward five suggestions on reducing urban air pollution occurrence, which can provide the basis and reference for the government to make policies on urban air pollution control in China.
城市空气污染，特别是霾事件，已成为大多数发展中国家社会经济发展和公众健康的严重威胁。评估城市空气污染发生的频率及其影响因素具有重要意义。我们的研究旨在基于压力-状态-影响-响应（DPSIR）框架，结合空间分析、地理探测器和地理加权回归模型，为构建一个指数系统和评估城市空气污染发生的影响因素制定一致的方法。选择了 27 个影响因素来评估它们对中国 337 个城市的城市空气污染发生的影响。结果表明，中国城市空气污染的空间格局与中国基于人口的胡焕庸线基本一致。中国北方、中部、东北和华东地区城市空气污染频发，且具有较强的季节性。城市空气污染的影响因素复杂多样，且因季节而异。影响因素分析还表明，任意两个影响因素之间的解释力大于单一影响因素对城市空气污染的解释力。此外，大多数影响因素对城市空气污染既有积极影响，也有消极影响，还有局部影响。最后，我们提出了减少城市空气污染发生的五条建议，为政府制定中国城市空气污染控制政策提供了依据和参考。
