Geo-environmental impact assessment of Jinshazhou area in Guangzhou City. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Hu, Xinjie; Ma, Chuanming; Zhang, Jingjing; Deng, Bo
• Is Part Of: Human & ecological risk assessment. Volume 24:Issue 1(2018)
• Page Start: 105
• Page End: 121
• Publication Date: 2018-01-02
• Subjects: Jinshazhou area -- geo-environmental problem -- principal component analysis -- fuzzy comprehensive evaluation -- urban geo-environmental impact; Health risk assessment -- Periodicals; Ecological risk assessment -- Periodicals; Ecology -- Periodicals; Risk Assessment -- Periodicals; 363.102
• DOI: 10.1080/10807039.2017.1373247
• Languages: English
• ISSNs: 1080-7039

Abstract

ABSTRACT: The geo-environmental impact of anthropogenic activities in Jinshazhou area is predicted by assessing the geo-environmental problems susceptibility under the condition of nature and anthropogenic activities in the study. An evaluation factor system including natural and anthropogenic factors is setup and the principal component analysis-fuzzy comprehensive evaluation model is selected. Results are shown in four grades, including very low, low, high, and very high. Under the natural condition, the very low, low, high, and very high susceptible regions of geo-environmental problems take up 67.73%, 0.71%, 7.30%, and 24.26%, respectively. Under the condition of anthropogenic activities, the very low, low, high, and very high susceptible regions of geo-environmental problems take up 69.18%, 5.88%, 5.88%, and 19.06%, respectively. Comparing the susceptibility of geo-environmental problems under two conditions, it can be predicted that there is a greatly negative impact of anthropogenic activities in the southern surrounding region of Jinshazhou tunnel; while in the north of the study area, such as Poly West Coast, anthropogenic activities have a positive impact on geo-environment. The present distribution of geo-environmental problems has shown that the new evaluation technique system can be successfully applied to predict the urban geo-environmental impact of anthropogenic activities.