Assessing how heavy metal pollution and human activity are related by using logistic regression and kriging methods

Yu Pin Lin, Bai You Cheng, Hone Jay Chu, Tsun Kuo Chang, Hwa Lung Yu

研究成果: Article同行評審

45 引文 斯高帕斯(Scopus)

摘要

Quantifying how soil pollution and a long-term land-use perspective (i.e. human activity) are related is a highly effective means of managing soil resources in central Taiwan. By defining hazard zone as the heavy metal contents that exceed the corresponding control standard, this study estimates not only the spatial patterns of hazardous probability based on only the observed heavy metal data using indicator kriging (IK), but also those that consider auxiliary variables by logistic regression (LR) and regression kriging (RK). Estimation results indicate that the hazard pattern estimated by the IK and RK is more fragmented than those estimated by LR. Moreover, the LR and RK, can determine how a pollution source and a pathway are related. Based on the results, the hazard area is strongly correlated with the locations of industrial plants and irrigation systems in the study area. These methods provide an effective means of exploring hazard risks efficiently for future monitoring of soil contamination. The LR and RK methods not only identify natural and human factors of soil pollutions, but also enhance delineations of identifying hazardous area of soil pollution. Particularly, the RK considers the spatial residuals to improve the goodness of fit in the LR.

原文English
頁(從 - 到)275-282
頁數8
期刊Geoderma
163
發行號3-4
DOIs
出版狀態Published - 2011 七月 15

All Science Journal Classification (ASJC) codes

  • 土壤科學

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