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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Determinant Powers of Socioeconomic Factors and Their Interactive Impacts on Particulate Matter Pollution in North China
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Determinant Powers of Socioeconomic Factors and Their Interactive Impacts on Particulate Matter Pollution in North China

机译：社会经济因素的决定性力量及其对华北颗粒物质污染的互动影响

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摘要

Severe air pollution has significantly impacted climate and human health worldwide. In this study, global and local Moran’s I was used to examine the spatial autocorrelation of PM2.5 pollution in North China from 2000–2017, using data obtained from Atmospheric Composition Analysis Group of Dalhousie University. The determinant powers and their interactive effects of socioeconomic factors on this pollutant are then quantified using a non-linear model, GeoDetector. Our experiments show that between 2000 and 2017, PM2.5 pollution globally increased and exhibited a significant positive global and local autocorrelation. The greatest factor affecting PM2.5 pollution was population density. Population density, road density, and urbanization showed a tendency to first increase and then decrease, while the number of industries and industrial output revealed a tendency to increase continuously. From a long-term perspective, the interactive effects of road density and industrial output, road density, and the number of industries were amongst the highest. These findings can be used to develop the effective policy to reduce PM2.5 pollution, such as, due to the significant spatial autocorrelation between regions, the government should pay attention to the importance of regional joint management of PM2.5 pollution.
机译：严重的空气污染显着影响全世界气候和人类健康。在这项研究中，全球和当地莫兰的我被用来从2000 - 2017年检查华北地区PM2.5污染的空间自相关，使用从Dalhousie大学的大气成分分析组获得的数据。然后使用非线性模型，地理转器定量确定该污染物对该污染物的社会经济因素的决定性力量及其互动效果。我们的实验表明，2000年至2017年间，PM2.5污染全球增加，并表现出显着的阳性全球和局部自相关。影响PM2.5污染的最大因素是人口密度。人口密度，道路密度和城市化表现出倾向于第一次增加，然后减少，而行业数量和工业产出的数量揭示了连续增加的趋势。从长远的角度来看，道路密度和工业产出的互动效果，道路密度和行业人数最高。这些调查结果可用于制定减少PM2.5污染的有效政策，例如，由于地区之间的显着空间自相关，政府应注意区域联合管理PM2.5污染的重要性。

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