Institute of Land and Urban-rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
School of Economics, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Int J Environ Res Public Health. 2019 Apr 26;16(9):1487. doi: 10.3390/ijerph16091487.
China's rapid urbanization and industrialization have affected the spatiotemporal patterns of nitrogen dioxide (NO) pollution, which has led to greater environmental pressures. In order to mitigate the environmental pressures caused by NO pollution, it is of vital importance to investigate the influencing factors. We first obtained data for NO pollution at the city level using satellite observation techniques and analyzed its spatial distribution. Next, we introduced a theoretical framework, an extended stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, to quantify the relationship between NO pollution and its contributing natural and socio-economic factors. The results are as follows. Cities with high NO pollution are mainly concentrated in the North China Plain. On the contrary, southwestern cities are characterized by low NO pollution. In addition, we find that population, per capita gross domestic product, the share of the secondary industry, ambient air pressures, total nighttime light data, and urban road area have a positive impact on NO pollution. In contrast, increases in the normalized difference vegetation index (NDVI), relative humidity, temperature, and wind speed may reduce NO pollution. These empirical results should help the government to effectively and efficiently implement further emission reductions and energy saving policies in Chinese cities in a bid to mitigate the environmental pressures.
中国的快速城市化和工业化已经影响了二氧化氮(NO)污染的时空格局,这导致了更大的环境压力。为了减轻 NO 污染造成的环境压力,研究其影响因素至关重要。我们首先利用卫星观测技术获取了城市层面的 NO 污染数据,并分析了其空间分布。然后,我们引入了一个理论框架,即扩展的人口、富裕和技术对污染影响的回归推理模型(STIRPAT),以量化 NO 污染与其自然和社会经济因素之间的关系。结果如下。高 NO 污染的城市主要集中在华北平原。相反,西南地区的 NO 污染水平较低。此外,我们发现人口、人均国内生产总值、第二产业份额、环境气压、夜间总灯光数据和城市道路面积对 NO 污染有正向影响。相比之下,归一化植被指数(NDVI)、相对湿度、温度和风速的增加可能会降低 NO 污染。这些经验结果应该有助于政府在中国城市中有效地实施进一步的减排和节能政策,以减轻环境压力。