Arid
DOI10.1016/j.scitotenv.2019.136170
Assessing environmental interference in northern China using a spatial distance model: From the perspective of geographic detection
Wei, Wei1; Guo, Zecheng1; Zhou, Liang2,3; Xie, Binbin4; Zhou, Junju1
通讯作者Guo, Zecheng ; Zhou, Liang
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2020
卷号709
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.
英文关键词Environmental interference Spatial heterogeneity Spatial dependence Influencing mechanism Northern China
类型Article
语种英语
国家Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000512281700104
WOS关键词RISK-ASSESSMENT ; VULNERABILITY EVALUATION ; PRECIPITATION EXTREMES ; LAND DESERTIFICATION ; TEMPORAL PATTERN ; DYNAMIC-ANALYSIS ; YANGTZE-RIVER ; FUZHOU CITY ; REGION ; INDEX
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构中国科学院地理科学与资源研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315515
作者单位1.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China;
2.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, 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]. 中国科学院地理科学与资源研究所,2020,709.
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.
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).
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