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

地理科学进展 ›› 2019, Vol. 38 ›› Issue (4): 612-624.doi: 10.18306/dlkxjz.2019.04.013

• 研究论文 • 上一篇

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

张金亭¹(), 赵玉丹¹, 田扬戈², 何青青³, 庄艳华⁴, 彭韵羲¹, 洪松^1,^5,^6,^*()

1. 武汉大学资源与环境科学学院,武汉 430079
2. 武汉大学遥感信息工程学院,武汉 430079
3. 武汉理工大学资源与环境工程学院,武汉 430079
4. 中国科学院测量与地球物理研究所,武汉 430077
5. 地球空间信息技术协同创新中心,武汉 430079
6. 武汉大学深圳研究院,深圳 518000

收稿日期:2018-06-25 修回日期:2018-12-13 出版日期:2019-04-28 发布日期:2019-04-28
通讯作者: 洪松 E-mail:whzjtwh@163.com;songhongpku@126.com
作者简介:
第一作者简介：张金亭(1975— ),男,河南南阳人,博士,副教授,主要从事土地资源管理、空间统计应用研究。E-mail: whzjtwh@163.com
基金资助:
深圳市科技计划项目(JCYJ20150630153917252);国家自然科学基金项目(41601608)

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

Jinting ZHANG¹(), Yudan ZHAO¹, Yangge TIAN², Qingqing HE³, Yanhua ZHUANG⁴, Yunxi PENG¹, Song HONG^1,^5,^6,^*()

1. School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China
2. School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
3. School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430079, China
4. Institute of Geodesy and Geophysics, CAS, Wuhan 430077, China
5. Geospatial Information Technology Collaborative Innovation Center, Wuhan 430079, China
6. Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China

Received:2018-06-25 Revised:2018-12-13 Online:2019-04-28 Published:2019-04-28
Contact: Song HONG E-mail:whzjtwh@163.com;songhongpku@126.com
Supported by:
Shenzhen Science and Technology Project, No. JCYJ20150630153917252;National Natural Science Foundation of China, No. 41601608.

摘要/Abstract

摘要：

针对区域大气污染物排放量与空气质量在时空分布上存在不完全协同、匹配的现象,论文选择SO₂、NO_X、PM_2.5、CO和VOCs作为大气污染物指标,选择气溶胶光学厚度(Aerosol Optical Depth, AOD)表征颗粒物环境空气质量,以武汉市为例,综合应用耦合模型和空间错位指数模型研究2类指标之间的空间非协同耦合规律。主要结论如下：① 武汉市大气污染物排放量与颗粒物空气质量具有不同空间分布特征,大气污染物排放量呈现由城市中心城区向远城区递减的趋势,其中SO₂、PM_2.5和VOCs的排放具有明显的中心聚集现象,而NO_X和CO聚集现象不显著,且与道路分布明显相关;AOD分布具有明显的空间差异性,总体上呈由西北向东南依次递减的趋势。② 武汉市大气污染物排放与颗粒物空气质量的空间非协同耦合规律：越靠近城市中心城区,空间协同耦合现象越显著,空间错位现象越弱;越远离主城区,空间非协同耦合现象越显著,空间错位现象越显著;SO₂排放量与AOD在武汉市远城区的空间错位指数均大于0.7,且耦合度指数小于0.3,呈现较强的非协同耦合特征,NO_X、VOCs、PM_2.5的排放量与AOD在武汉中心城区的空间错位指数均小于0.5,且耦合度指数大于0.5,协同耦合现象较为显著。③ 基于时空非协同耦合分析城市大气环境污染治理建议：针对污染物与AOD空间错位不显著的城市中心城区,以本地减排治理为主;针对污染物与AOD空间错位显著的远城区,应在污染溯源分析的基础上进行区域协调综合治理。

关键词: 大气污染, 空气质量, 气溶胶光学厚度(AOD), 耦合度, 空间错位指数, 武汉市

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

张金亭, 赵玉丹, 田扬戈, 何青青, 庄艳华, 彭韵羲, 洪松. 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[J]. 地理科学进展, 2019, 38(4): 612-624.

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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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

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

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

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