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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China
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Spatiotemporal Pattern of Fine Particulate Matter and Impact of Urban Socioeconomic Factors in China

机译：中国细颗粒物的时空格局及城市社会经济因素的影响

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Frequent hazy weather has been one of the most obvious air problems accompanying China’s rapid urbanization. As one of the main components of haze pollution, fine particulate matter (PM2.5), which severely affects environmental quality and people’s health, has attracted wide attention. This study investigated the PM2.5 distribution, changing trends and impact of urban factors based on remote-sensing PM2.5 concentration data from 2000 to 2015, combining land-use data and socioeconomic data, and using the least-squares method and structural equation model (SEM). The results showed that the high concentration of PM2.5 in China was mainly concentrated in the eastern part of China and Sichuan Province. The trends of the PM2.5 concentration in eastern part and Northeast China, Sichuan, and Guangxi Provinces were positive. Meanwhile, the ratios of increasing trends were strongest in built-up land and agricultural land, and the decreasing trends were strongest in forest and grassland, but the overall trends were still growing. The SEM results indicated that economic factors contributed most to PM2.5 pollution, followed by demographic factors and spatial factors. Among all observed variables, the secondary industrial GDP had the highest impact on PM2.5 pollution. Based on the above results, PM2.5 pollution remains an important environmental issue in China at present and even in the future. It is necessary for decision-makers to make actions and policies from macroscopic and microscopic, long-term and short-term aspects to reduce pollution.
机译：伴随中国快速城市化，频繁的朦胧天气一直是最明显的空气问题之一。作为雾霾污染的主要成分之一，严重影响环境质量和人们健康的细颗粒物（PM2.5）已引起广泛关注。本研究基于2000年至2015年的遥感PM2.5浓度数据，结合土地利用数据和社会经济数据，并使用最小二乘法和结构方程，研究了PM2.5的分布，城市因素的变化趋势和影响。模型（SEM）。结果表明，中国PM2.5的高浓度主要集中在中国东部和四川省。东部和东北地区，四川和广西省的PM2.5浓度呈正趋势。同时，耕地和农地中上升趋势的比例最大，而森林和草地下降趋势中的趋势最大，但总体趋势仍在增长。 SEM结果表明，经济因素是造成PM2.5污染的主要因素，其次是人口因素和空间因素。在所有观察到的变量中，第二产业GDP对PM2.5污染的影响最大。基于以上结果，PM2.5污染在中国乃至未来仍然是一个重要的环境问题。决策者必须从宏观和微观，长期和短期两个方面采取行动和制定政策，以减少污染。

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