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Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region

机译:北京 - 天津 - 河北地区雾气污染产业能耗结构与运输的空间效应

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摘要

Haze pollution has a serious impact on China’s economic development and people’s livelihood. We used data on PM concentration, industrial energy consumption structure, economic development and transportation in Beijing-Tianjin-Hebei and surrounding cities from 2000 to 2017, and analyzed the spatial effect of industrial energy consumption structure and traffic factors on haze pollution by using spatial autoregressive model (SAR) and spatial error model (SEM). The results indicated that: (1) The global spatial correlation analysis showed that haze pollution had a significant positive spatial correlation, and the local spatial correlation analysis showed that the high-high clusters of PM were located in the south and middle of the region; (2) The change of industrial energy consumption structure was highly correlated with haze pollution, namely, the increase of industrial energy consumption led to the deterioration of environmental quality; (3) The change of economic development was highly correlated with haze pollution. There was no clear EKC relationship between haze pollution and economic development in Beijing-Tianjin-Hebei region and surrounding cities. However, the relationship was similar to inverted U-shaped curve; (4) The change of traffic jam was highly correlated with haze pollution, namely, the increase of fuel consumption per unit road area led to the deterioration of environmental quality. Based on the above results, from the perspective of space, the long-term measures for haze control in Beijing-Tianjin-Hebei and surrounding cities can be explored from the aspects of energy conservation and emission reduction, industrial transfer, vehicle emission control, traffic restrictions and purchase restrictions.
机译:阴霾污染对中国的经济发展和人民的生计产生了严重影响。我们在北京 - 天津 - 河北及周边城市的PM集中,工业能源消费结构,经济开发和运输的数据及2000年至2017年的数据,分析了使用空间自回转性对雾度污染的工业能耗结构和交通因素的空间效应模型(SAR)和空间误差模型(SEM)。结果表明:(1)全局空间相关分析表明,雾度污染具有显着的正空间相关性,局部空间相关分析表明,PM的高高簇位于该地区的南部和中部; (2)工业能源消耗结构的变化与雾度污染高度相关,即工业能源消耗的增加导致环境质量恶化; (3)经济发展的变化与阴霾污染高度相关。京津 - 河北地区及周边城市的阴霾污染与经济发展之间没有明确的EKC关系。然而,这种关系类似于倒U形曲线; (4)交通堵塞的变化与阴霾污染高度相关,即每单位路面区域的燃料消耗的增加导致环境质量恶化。根据上述结果,从空间的角度来看,可以从节能减排,工业转移,车辆排放控制,交通的方面来探索京津冀和周边城市的长期措施。限制和购买限制。

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