干旱区生态环境知识资源中心(Arid): 中国366个城市空气污染综合程度的时空演变特征分析

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	中国366个城市空气污染综合程度的时空演变特征分析
其他题名	Spatiotemporal evolution characteristics of air pollution degree in 366 cities of China
	刘清; 杨永春; 刘海洋
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2020
卷号	43 期号:3 页码:820-830
中文摘要	采用2016-2017年中国366个城市1 484个监测站点的空气质量近地监测数据,以期最大程度覆盖西部地区,填补现状对西北热点地区污染因子探讨的空白。运用空间描述性统计、空间插值、空间自相关、标准差椭圆与重心分析方法,从年度、季度、月度、日度对比的角度探讨中国空气质量的污染类型、发展趋势、集聚与迁移特征。研究发现:基于插值法,可将全国分为3个区域,临海性与山地性对空气质量优良区产生显著的正响应。山西是污染加重程度最大的省份,主要受SO_2浓度升高影响,而北京与河南是污染改善效果最明显的省份,主要是PM_(2.5)的治理成效显著。空气质量分布格局以新疆西部和冀鲁豫形成双核高值聚类模式,并且集聚深受温度分带的影响。空气质量总体分布朝向呈东北-西南方向,转移重心均分布在河南省,以向东北方向移动为主,这种分布变迁又重新定义了其季节分异。全国主要的污染类型以PM _(10)与PM_(2.5)为主。PM_(10)主要分布在新疆地区,受风沙过境扬尘污染自然因素更大,PM_(2.5)主要分布在华中、华北、苏北地区,受人为经济活动影响更大。
英文摘要	This paper used spatial descriptive statistics, spatial interpolation, spatial autocorrelation, standard deviation ellipse,and gravity center analysis methods to explore and compare pollution types,development trends,agglomeration,and migration characteristics of air quality in China from an annual,quarterly,monthly,and daily perspective.Many studies have focused on the spatiotemporal evolution pattern of air quality in China.However, there are only a few articles that show the highest historical statistical average values in northwestern region,especially high PM_(2.5) anomalies in Xinjiang.However, the time and causes of such high anomalies,pollution factors,and people's contribution to PM_(2.5) have not been discussed.Air quality research mainly uses remote sensing inversion data and near-earth monitoring data.In the desert,arid,and semi-arid regions of western China,dust is often removed during remote sensing inversion data processing,and the concentration of respirable suspended particulates is obviously underestimated.The study results of near-earth monitoring data are greatly affected by the number of monitoring stations and their regional distribution.Air quality monitoring stations in China are mainly concentrated in the highly urbanized eastern-central regions,while the western region is rarely included in air quality monitoring.There are gaps in research in northwestern region,especially in the Tarim Basin,due to some flaws in data itself and limited access.Since 2016, the National Environmental Monitoring Center of China has expanded its coverage to more western cities and can to obtain several times the previous air quality monitoring data.This paper used the nearearth air quality monitoring data from 1 484 stations in 366 cities in China from 2016 to 2017 to maximize coverage of the western region and to identify pollutants in northwest hotspots.The study found that the western region could be divided into three sub-regions based on interpolation.The coastal and mountainous areas show a significant positive response to excellent air quality areas.Shanxi is the largest province with pollution aggravation mainly affected by SO_2concentration,while Beijing and Henan are the provinces that obviously improved pollution mainly by treating the adverse impact of PM_(2.5).The overall distribution pattern is dominated by western Xinjiang and Hebei-Shandong-Henan, forming a significant dual nuclear high-value clustering model.The Hu Huanyong line is the boundary between east-west China's air pollution and the Yangtze River is the North-South boundary line.The air quality clustering feature in the north is obviously worse than that in the south,and in the east, it is significantly denser than that in the west.Agglomeration is greatly affected by temperature zoning.The overall air quality distribution is oriented in the NE-SW direction,and the gravity transfer center is distributed in Henan Province,mainly moving to the northeast.This distribution change redefines its seasonal differentiation.The main pollution sources in the whole country are PM_(10) and PM_(2.5).PM_(10) is mainly distributed in Xinjiang,and is strongly affected by natural factors due to dust pollution.PM_(2.5) is mainly distributed in Central China,Northern China,and Northern Jiangsu,which are mainly affected by man-made economic activities.In addition,as for urban composite air pollution, the mechanism of interaction between air pollution in the city and its surrounding is a further issue to be explored in the future.
中文关键词	空气质量指数 ; 首要污染物 ; 时空格局 ; 重心迁移
英文关键词	air quality index primary pollutants space-time pattern gravity shift
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Environmental Sciences & Ecology
CSCD记录号	CSCD:6765666
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353458
作者单位	刘清, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国. 杨永春, 兰州大学资源环境学院;;兰州大学, ;;西部环境教育部重点实验室, 兰州;;兰州, 甘肃;;甘肃 730000;;730000, 中国. 刘海洋, 西北师范大学地理与环境科学学院, 兰州, 甘肃 730070, 中国.
推荐引用方式 GB/T 7714	刘清,杨永春,刘海洋. 中国366个城市空气污染综合程度的时空演变特征分析[J],2020,43(3):820-830.
APA	刘清,杨永春,&刘海洋.(2020).中国366个城市空气污染综合程度的时空演变特征分析.干旱区地理,43(3),820-830.
MLA	刘清,et al."中国366个城市空气污染综合程度的时空演变特征分析".干旱区地理 43.3(2020):820-830.