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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing–Tianjin–Hebei Region China
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Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing–Tianjin–Hebei Region China

机译：京津冀地区重型柴油车污染排放的空间特征及因子分析

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摘要

Heavy-duty diesel trucks (HDDTs) contribute significantly to NO and particulate matter (PM) pollution. Although existing studies have emphasized that HDDTs play a dominant role in vehicular pollution, the spatial distribution pattern of HDDT emissions and their related socioeconomic factors are unclear. To fill this research gap, this study investigates the spatial distribution pattern and spatial autocorrelation characteristics of NO , PM, and SO emissions from HDDTs in 200 districts and counties of the Beijing–Tianjin–Hebei (BTH) region. We used the spatial lag model to calculate the significances and directions of the pollutants from HDDTs and their related socioeconomic factors, namely, per capita GDP, population density, urbanization rate, and proportions of secondary and tertiary industries. Then, the geographical detector technique was applied to quantify the strengths of the significant socioeconomic factors of HDDT emissions. The results show that (1) NO , PM, and SO pollutants emitted by HDDTs in the BTH region have spatial heterogeneity, i.e., low in the north and high in the east and south. (2) The pollutants from HDDTs in the BTH region have significant spatial autocorrelation characteristics. The spatial dependence effect was obvious; for every 1% increase in the HDDT emissions in the surrounding districts and counties, the local HDDT emissions increased by 0.39%. (3) Related factors analysis showed that the proportion of tertiary industries had a significant negative correlation, whereas the proportion of secondary industries and urbanization rate had significant positive correlations with HDDT emissions. Population density and per capita GDP did not pass the significance test. (4) The order of effect intensities of the significant socioeconomic factors was proportion of tertiary industry > proportion of secondary industry > urbanization rate. This study guides scientific decision making for pollution control of HDDTs in the BTH region.
机译：重型柴油卡车（HDDT）对NO和颗粒物（PM）污染做出了重大贡献。尽管现有研究强调HDDTs在车辆污染中起主要作用，但HDDT排放物的空间分布模式及其相关的社会经济因素尚不清楚。为填补这一研究空白，本研究调查了京津冀（BTH）地区200个县和县HDDTs NO，PM和SO排放的空间分布格局和空间自相关特征。我们使用空间滞后模型来计算HDDTs及其相关社会经济因素（人均GDP，人口密度，城市化率以及第二产业和第三产业所占比例）的意义和方向。然后，应用了地理探测器技术来量化HDDT排放的重要社会经济因素的强度。结果表明：（1）BTH地区HDDTs排放的NO，PM和SO污染物具有空间异质性，即北部较低，东部和南部较高。 （2）BTH地区HDDTs污染物具有显着的空间自相关特征。空间依赖效应明显。周边地区和县的HDDT排放量每增加1％，当地的HDDT排放量就会增加0.39％。 （3）相关因素分析表明，第三产业比重与HDDT排放呈显着负相关，第二产业比重和城市化率呈显着正相关。人口密度和人均GDP没有通过显着性检验。 （4）重要社会经济因素的作用强度顺序为：第三产业比重>第二产业比重>城市化率。这项研究指导了BTH地区HDDT污染控制的科学决策。

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