Arid
DOI10.1007/s12665-017-7035-5
Using regression model to identify and evaluate heavy metal pollution sources in an open pit coal mine area, Eastern Junggar, China
Sawut, Rukeya1,2; Tiyip, Tashpolat1,2; Abliz, Abdugheni1,2; Kasim, Nijat1,2; Nurmemet, Ilyas1,2; Sawut, Memet1,2; Tashpolat, Nigara1,2; Ablimit, Arzune1,2
通讯作者Tiyip, Tashpolat
来源期刊ENVIRONMENTAL EARTH SCIENCES
ISSN1866-6280
EISSN1866-6299
出版年2017
卷号76期号:24
英文摘要

This study aims at identifying multi-source heavy metal pollution from natural and anthropogenic sources using a regression model, principal component analysis, and five different indices (geo-accumulation index (Igeo), the modified degree of contamination, pollution load index (PLI), enrichment factor, and ecological risk factor. Results revealed that: (1) although the average concentrations of soil heavy metals (Cu, Cr, Pb, Hg, As, Zn) were generally low, Hg, As, and Cr concentrations exceeded national standard values by approximately 0.91, 1.84, and 0.91 times with maximum concentrations up to 0.41, 78.6, and 175.2 mu g/g, respectively; (2) PLI results showed that the industrial park and Wucaiwan open coal mining area were the most polluted (PLI of 1.98, 1.71). The potential ecological hazards index indicated that the E-i(r) of three heavy metals (Cu, Hg, As) in the soil were relatively high, presenting potential ecological risk factors of 74.89, 16.71, 4.15%, respectively; (3) stepwise regression model and principal component analysis suggest that Cu and Zn were primarily effected by the natural geological condition and atmospheric dust fall. Cr, Hg, Pb are mainly derived from anthropogenic sources, particularly coal mining activities and industrial sources. Results of this research have some significant implications for heavy metal pollution prevention and the sustainable development of the economy and ecology of arid regions in China.


英文关键词Heavy metals Pollution sources Eastern Junggar open coal field Surface soil Regression model
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000418851700002
WOS关键词SURFACE SEDIMENTS ; STATISTICAL-ANALYSIS ; ECOLOGICAL RISK ; NEURAL-NETWORK ; CONTAMINATION ; ENRICHMENT ; SOILS ; INDEX ; RIVER ; CITY
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
来源机构新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/198690
作者单位1.Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China;
2.Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China
推荐引用方式
GB/T 7714
Sawut, Rukeya,Tiyip, Tashpolat,Abliz, Abdugheni,et al. Using regression model to identify and evaluate heavy metal pollution sources in an open pit coal mine area, Eastern Junggar, China[J]. 新疆大学,2017,76(24).
APA Sawut, Rukeya.,Tiyip, Tashpolat.,Abliz, Abdugheni.,Kasim, Nijat.,Nurmemet, Ilyas.,...&Ablimit, Arzune.(2017).Using regression model to identify and evaluate heavy metal pollution sources in an open pit coal mine area, Eastern Junggar, China.ENVIRONMENTAL EARTH SCIENCES,76(24).
MLA Sawut, Rukeya,et al."Using regression model to identify and evaluate heavy metal pollution sources in an open pit coal mine area, Eastern Junggar, China".ENVIRONMENTAL EARTH SCIENCES 76.24(2017).
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