Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection

doi:10.1016/j.scitotenv.2019.136170

	Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection
	Wei, Wei 2; Guo, Zecheng 2; Zhou, Liang 1,3; Xie, Binbin 4; Zhou, Junju 2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2020-03-20
卷号	709 页码:16
关键词	Environmental interference Spatial heterogeneity Spatial dependence Influencing mechanism Northern China
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2019.136170
通讯作者	Guo, Zecheng(18709424424@163.com) ; Zhou, Liang(zhougeo@126.com)
英文摘要	The rapid development of society and the expansion of human activities have resulted in interference with the natural environment. Assessing the environmental interference (EI) caused by human activities is highly important for socio-economic sustainable development. In this study, the spatial distance model (SDM) and resource endowment index (REI)-human activity index (HAI) ratio model were developed to calculate the environmental interference index (EII) in northern China (NC). The current spatial distribution and patterns of EII in NC were analyzed based on geographic information system (GIS) technology. In addition, the factors that influence the level of EI were examined through a geographical detector method. The results showed that the EII value in the eastern region was significantly higher than that in the western region and that differences in EI were spatial heterogeneity. The spatial distribution of EI was analyzed at the provincial, municipal and county scales, respectively. It was found that its distribution was closely related to urban development. The spatial distribution of EI displayed longitudinal zonality. East of 104.987 degrees E, there were many large cities, such as Beijing, Tianjin, Qingdao and Zhengzhou, with high population densities and developed economies. Thus, these areas had high EI values. To the west of 104.987 degrees E, such as in the Qinghai, Gansu, Xinjiang and Inner Mongolia regions, the EI values were generally low, with low environmental quality and fewer human activities. The level of EI in the Huang-Huai-Hai Plain region was higher than that in other areas, displaying obvious spatial dependence. Moreover, the distribution of EI exhibited high-high and low-low aggregation patterns, which accounted for 24.06% and 27.35% of the total study area, respectively. Specifically, in NC, the EI caused by human activities displayed obvious regional characteristics. In addition, the factors that influence EI were determined through a geographical detector model. The land use intensity was the direct factor related to changes in and the levels of EI, and the cover and growth of vegetation were the most important factors associated with mitigating human interference. The assessment results can provide a reference for the formulation of environmental governance and related policies. (C) 2019 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[41861040] ; National Natural Science Foundation of China[41761047] ; National Natural Science Foundation of China[41501176] ; Natural Science Foundation of Gansu Province[1506RJZA129]
WOS关键词	RISK-ASSESSMENT ; VULNERABILITY EVALUATION ; PRECIPITATION EXTREMES ; LAND DESERTIFICATION ; TEMPORAL PATTERN ; DYNAMIC-ANALYSIS ; YANGTZE-RIVER ; FUZHOU CITY ; REGION ; INDEX
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000512281700104
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/132598]
专题	中国科学院地理科学与资源研究所
通讯作者	Guo, Zecheng; Zhou, Liang
作者单位	1.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China 2.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Lanzhou City Univ, Sch Urban Econ & Tourism Culture, Lanzhou 730070, Peoples R China
推荐引用方式 GB/T 7714	Wei, Wei,Guo, Zecheng,Zhou, Liang,et al. Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,709:16.
APA	Wei, Wei,Guo, Zecheng,Zhou, Liang,Xie, Binbin,&Zhou, Junju.(2020).Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection.SCIENCE OF THE TOTAL ENVIRONMENT,709,16.
MLA	Wei, Wei,et al."Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection".SCIENCE OF THE TOTAL ENVIRONMENT 709(2020):16.