Identification of heavy metal sources in the reclaimed farmland soils of the pearl river estuary in China using a multivariate geostatistical approach

被引:130
作者
Gu, Yang Guang [1 ,5 ,6 ]
Li, Qu Sheng [2 ,3 ]
Fang, Jian Hong [2 ,4 ]
He, Bao Yan [2 ,3 ]
Fu, Hong Bo [2 ,3 ]
Tong, Ze Jun [2 ,3 ]
机构
[1] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Guangdong, Peoples R China
[2] Jinan Univ, Dept Environm Engn, Guangzhou 510632, Guangdong, Peoples R China
[3] Dept Educ Guangdong Prov, Key Lab Water Soil Tox Pollutants Control & Bio, Guangzhou 510632, Guangdong, Peoples R China
[4] Meizhou Environm Protect Bur, Meizhou 514021, Peoples R China
[5] Key Lab Fishery Ecol & Environm, Guangzhou 510300, Guangdong, Peoples R China
[6] Minist Agr, Key Lab South China Sea Fishery Resources Exploit, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Heavy metal; Reclaimed farmland soil; Multivariate geostatistics; Spatial Distribution; Pollution source; Pearl River Estuary; GIS-BASED APPROACH; SPATIAL VARIABILITY; TRACE-METALS; AGRICULTURAL SOILS; URBAN; SEDIMENTS; AREA; NORTHWEST; ELEMENTS; REGION;
D O I
10.1016/j.ecoenv.2014.04.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heavy metals in the reclaimed farmland soils of the Pearl River Estuary in China have attracted much attention because of the health risk posed to local residents. The identification of heavy metal sources in these soils is necessary to reduce their health risk. Reclaimed farmland soil samples were collected from 144 sites in the Pearl River Estuary and the contents of heavy metals (Cd, Pb, Cr, Ni, Cu, and Zn) were determined. All these heavy metals showed concentrations substantially higher than their background values, indicating possible anthropogenic pollution. The results of a multivariate geostatistical method demonstrate that grouped Cd, Cr, and Cu were mainly controlled by chemical fertilizers. Grouped Pb and Zn were the most severely impacted by atmospheric deposition from Guangzhou and Foshan, and Ni was primarily impacted by electroplating factories' wastewater discharge. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:7 / 12
页数:6
相关论文
共 40 条
[1]  
Acosta J.A., 2010, ENVIRON MONIT ASSESS, P1
[2]  
Alloway J., 1995, HEAVY METALS SOILS, V2nd
[3]   Assessment: of heavy metal pollution in wetland soils from the young and old reclaimed regions in the Pearl River Estuary, South China [J].
Bai, Junhong ;
Xiao, Rong ;
Cui, Baoshan ;
Zhang, Kejiang ;
Wang, Qinggai ;
Liu, Xinhui ;
Gao, Haifeng ;
Huang, Laibin .
ENVIRONMENTAL POLLUTION, 2011, 159 (03) :817-824
[4]   INTERACTIVE INFLUENCES OF BIOACTIVE TRACE-METALS ON BIOLOGICAL PRODUCTION IN OCEANIC WATERS [J].
BRULAND, KW ;
DONAT, JR ;
HUTCHINS, DA .
LIMNOLOGY AND OCEANOGRAPHY, 1991, 36 (08) :1555-1577
[5]   FIELD-SCALE VARIABILITY OF SOIL PROPERTIES IN CENTRAL IOWA SOILS [J].
CAMBARDELLA, CA ;
MOORMAN, TB ;
NOVAK, JM ;
PARKIN, TB ;
KARLEN, DL ;
TURCO, RF ;
KONOPKA, AE .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 1994, 58 (05) :1501-1511
[6]   Assessing risk of heavy metals from consuming food grown on sewage irrigated soils and food chain transfer [J].
Chary, N. Sridhara ;
Kamala, C. T. ;
Raj, D. Samuel Suman .
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2008, 69 (03) :513-524
[7]  
Cui W.Z., 2004, WETLAND SCI, V2, P26
[8]   Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation [J].
Davis, Harley T. ;
Aelion, C. Marjorie ;
McDermott, Suzanne ;
Lawson, Andrew B. .
ENVIRONMENTAL POLLUTION, 2009, 157 (8-9) :2378-2385
[9]   Methods to account for spatial autocorrelation in the analysis of species distributional data:: a review [J].
Dormann, Carsten F. ;
McPherson, Jana M. ;
Araujo, Miguel B. ;
Bivand, Roger ;
Bolliger, Janine ;
Carl, Gudrun ;
Davies, Richard G. ;
Hirzel, Alexandre ;
Jetz, Walter ;
Kissling, W. Daniel ;
Kuehn, Ingolf ;
Ohlemueller, Ralf ;
Peres-Neto, Pedro R. ;
Reineking, Bjoern ;
Schroeder, Boris ;
Schurr, Frank M. ;
Wilson, Robert .
ECOGRAPHY, 2007, 30 (05) :609-628
[10]   Geostatistical and multivariate statistical methods for the assessment of polluted soils - merits and limitations [J].
Einax, JW ;
Soldt, U .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1999, 46 (01) :79-91