大气污染物排放量与颗粒物环境空气质量的空间非协同耦合研究——以武汉市为例

doi:10.18306/dlkxjz.2019.04.013

Abstract

Abstract:

As the spatial and temporal distributions of regional air pollutant emissions and air quality do not completely match, SO₂, NO_X, PM_2.5, CO, and VOCs were selected as indicators of air pollutants, and aerosol optical depth (AOD) was selected to characterize the ambient air quality of particulate matters in this study to examine their spatial coupling. Taking Wuhan City as an example, the coupling model and spatial dislocation index model were used to study the spatial non-coupling pattern of the two indices. The main conclusions are as follows: 1) Air pollutant emissions and particulate matter-related air quality in Wuhan City present different spatial distribution characteristics. The emissions of atmospheric pollutants showed a decreasing trend from the central area of the city to the surrounding areas. The emissions of SO₂, PM_2.5, and VOCs presented an obvious central aggregation phenomenon, while NO_X and CO aggregation was not significant, but was significantly related to the distribution of roads. The distribution of AOD showed clear spatial heterogeneity, and generally decreased from northwest to southeast. 2) The spatial coupling pattern of air pollutant emissions and particulate matter-related air quality in Wuhan City indicates that the closer to the urban center, the more significant the spatial co-occurrence, and the weaker the spatial dislocation was. The farther away from the main urban area, the more significant the spatial non-coupling or dislocation was. The spatial dislocation index value of SO₂ emission and AOD in the surrounding urban areas of Wuhan City was greater than 0.7 and the coupling index value was less than 0.3, showing a strong non-coupling feature. The spatial dislocation index of NO_X, VOCs, and PM_2.5emissions and AOD in the central urban area of Wuhan City was less than 0.5 and the coupling index was greater than 0.5, showing a significant coupling phenomenon. 3) The suggestions for urban air pollution control based on the spatiotemporal non-coupling analysis are: for the central urban areas where the spatial dislocation between pollutant discharge and AOD is not significant, local emission reduction is the main method for pollution control. Comprehensive measures should be formulated on the basis of pollution souce identification for the surrounding areas with significant spatial dislocation of pollutant discharge and AOD.

Key words: air pollution, air quality, aerosol optical depth (AOD), coupling, spatial dislocation index, Wuhan City

Jinting ZHANG, Yudan ZHAO, Yangge TIAN, Qingqing HE, Yanhua ZHUANG, Yunxi PENG, Song HONG. Spatial non-coupling of air pollutant emissions and particulate matter-related air quality: A case study in Wuhan City, China[J].PROGRESS IN GEOGRAPHY, 2019, 38(4): 612-624.

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References 41

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年份	数据名称	数据来源	来源网址
2015	武汉市1 km×1 km土地利用栅格数据集	中国科学院资源环境科学数据中心中国科学院资源环境科学数据中心中国科学院资源环境科学数据中心中国科学院资源环境科学数据中心	http://www.resdc.cn
2010	武汉市1 km×1 km人口空间分布公里网格数据		http://www.resdc.cn
2016	武汉市道路矢量图		http://www.resdc.cn
2016	武汉市区县界矢量图		http://www.resdc.cn
2010	武汉市各区人口数据	武汉市统计信息网	http://www.whtj.gov.cn
2016	武汉市各区人口数据	武汉市统计信息网	http://www.whtj.gov.cn
2016	武汉市大气污染源排放清单	武汉市环境保护科学研究院
2016	气溶胶数据产品MOD04_3K	LAADS DAAC	https://ladsweb.modaps.eosdis.nasa.gov
2015	中国省级行政边界数据	中国资源与环境数据云平台	http://www.resdc.cn/Default.aspx
2015	中国市级行政边界数据	中国资源与环境数据云平台	http://www.resdc.cn/Default.aspx

排放源	行业/部门	分配参数
固定燃烧源	电厂、其他工业	工业用地
工艺过程源	钢铁、水泥、石油化工	工业用地
建筑扬尘源	建筑	建筑用地
生物质燃烧	生物质锅炉、生物质开放燃烧	耕地和草地
堆场扬尘	建筑	建筑用地
土壤扬尘	建筑	建筑用地
道路移动源	交通	路网信息
道路扬尘源	交通	路网信息
溶剂使用	沥青铺路、表面涂层	人口密度分布
废弃物处理	污水、固体废弃物、烟气脱硝	人口密度分布
餐饮	餐饮	人口密度分布

	SO₂	NO_X	PM_2.5	CO	VOCs
[0,0.3]	93.00	63.99	64.58	71.09	58.40
(0.3,0.5]	2.62	13.88	12.10	12.42	16.99
(0.5,0.8]	0.91	10.60	9.08	10.18	11.62
(0.8,1.0]	3.46	11.53	14.25	6.31	12.98

城区位置	大气污染物排放量	AOD	环境空气质量
城市中心城区	多	高	差
城市中心城区	少	低	好
城市远城区	多	相对城市中心城区较低	较好
城市远城区	少	相对城市中心城区较高	较差

Spatial non-coupling of air pollutant emissions and particulate matter-related air quality: A case study in Wuhan City, China

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