干旱区生态环境知识资源中心(Arid): Analysis of spatiotemporal variation of PM2.5 and its relationship to land use in China

Arid

DOI	10.1016/j.apr.2021.101151
	Analysis of spatiotemporal variation of PM2.5 and its relationship to land use in China
	Xu, Weiyi; Jin, Xiaobin; Liu, Miaomiao; Ma, Zongwei; Wang, Qian; Zhou, Yinkang
通讯作者	Jin, XB (corresponding author), Nanjing Univ, Sch Geog & Ocean Sci, 163 Xianlin Ave, Nanjing 210023, Peoples R China.
来源期刊	ATMOSPHERIC POLLUTION RESEARCH
ISSN	1309-1042
出版年	2021
卷号	12 期号:9
英文摘要	With rapid development of urbanization, the atmospheric pollution caused by PM2.5 has attracted widespread concern. Land as the underlying surface of atmosphere, which has a significant effect on PM2.5. This study aimed to explore the spatiotemporal variation of PM2.5 and its relationship to land use in China during 2005-2017, then put forward suggestions for land use optimization to improve air quality. The results suggested that PM2.5 generally showed a downward trend, with obvious spatial pattern. High-pollution areas were formed in the North China Plain, the Middle-Lower Yangtze River Plain, the Sichuan Basin and the Taklimakan Desert. Furthermore, PM2.5 was significantly positive correlated with the area of cultivated land and artificial surfaces, and cultivated land fragmentation was conducive to the decline of PM2.5, while contiguous expansion of artificial surfaces would increase PM2.5. Forest and grassland had an inhibitory effect on PM2.5, and the larger area, the more complex shape, the better PM2.5 retention effect. Moreover, cultivated land and forest were the main land use types that affect PM2.5, and the effect of cultivated land was greater than that of forest. The percentage of cultivated land landscape, the shape index of forest and water bodies were the main landscape metrics that affect PM2.5, and their effect on PM2.5 decreased in turn. Therefore, strengthening the pollution control of cultivated land, promoting the land recuperation, further expanding the scale of forest and grassland, enriching vegetation types, promoting the grain for green, reasonably controlling the scale of urban development, are conducive to reduce PM2.5.
英文关键词	Land use Landscape China PM (2 5)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000701178700006
WOS关键词	URBAN AIR-POLLUTION ; PARTICULATE MATTER ; LANDSCAPE PATTERN ; SOURCE APPORTIONMENT ; VARIABILITY ; QUALITY ; BURDEN ; HEALTH ; AREAS ; PM10
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	南京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362665
作者单位	[Xu, Weiyi; Jin, Xiaobin; Zhou, Yinkang] Nanjing Univ, Sch Geog & Ocean Sci, 163 Xianlin Ave, Nanjing 210023, Peoples R China; [Xu, Weiyi; Jin, Xiaobin; Zhou, Yinkang] Minist Land & Resources, Key Lab Coastal Zone Exploitat & Protect, 163 Xianlin Ave, Nanjing 210023, Peoples R China; [Liu, Miaomiao; Ma, Zongwei; Wang, Qian] Nanjing Univ, Sch Environm, 163 Xianlin Ave, Nanjing 210023, Peoples R China; [Jin, Xiaobin; Zhou, Yinkang] Nanjing Univ, Nat Resources Res Ctr, 163 Xianlin Ave, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Xu, Weiyi,Jin, Xiaobin,Liu, Miaomiao,et al. Analysis of spatiotemporal variation of PM2.5 and its relationship to land use in China[J]. 南京大学,2021,12(9).
APA	Xu, Weiyi,Jin, Xiaobin,Liu, Miaomiao,Ma, Zongwei,Wang, Qian,&Zhou, Yinkang.(2021).Analysis of spatiotemporal variation of PM2.5 and its relationship to land use in China.ATMOSPHERIC POLLUTION RESEARCH,12(9).
MLA	Xu, Weiyi,et al."Analysis of spatiotemporal variation of PM2.5 and its relationship to land use in China".ATMOSPHERIC POLLUTION RESEARCH 12.9(2021).