Spatial distribution of heavy metals in soils: a case study of Changxing, China

被引:88
作者
Shi, Jiachun
Wang, Haizhen [1 ]
Xu, Jianming
Wu, Jianjun
Liu, Xingmei
Zhu, Haiping
Yu, Chunlan
机构
[1] Zhejiang Univ, Coll Environm & Nat Resource Sci, Hangzhou 310029, Peoples R China
[2] Soil & Fertilizer Stn Zhejiang Province, Hangzhou 310020, Peoples R China
[3] Changxing Agr Bur, Changxing 313100, Peoples R China
来源
ENVIRONMENTAL GEOLOGY | 2007年 / 52卷 / 01期
关键词
geostatistics; heavy metals; spatial variability; geographic information system;
D O I
10.1007/s00254-006-0443-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Six hundred and sixty-five soil samples were taken from Changxing County in Zhejiang Province, China, to characterize the spatial variability of Hg Cd, Pb, Cu, As and Cr. The geostatistics and geographic information system (GIS) techniques were applied, and the ordinary kriging and lognormal kriging were used to map the spatial patterns of the six heavy metals. Hg, Pb, Cu and As were fitted to the spherical model with a range of 85.75, 82.32, 86.10, and 23.17 km, respectively. Cr was fitted to the exponential model with a range of 6.27 km, and Cd was fitted to the linear model with a range of 37.66 km. Both Pb and Cu had strong spatial dependence due to the effects of natural factors including parent material, topography and soil type. Hg, Cd, Cr and As had, however, moderate spatial dependence, indicating an involvement of human factors. Meanwhile, based on the comparison between the original data and the guide values of the six metals, the disjunctive kriging technique was used to quantify their pollution risks. The results showed that only Cd and Hg exhibited pollution risks in the study area. The pollution source evaluated was closely corresponded with the real discharge of industrial production and the application of organomercury pesticides. The results of this study provide insight into risk assessment of environmental pollution and decision making for agricultural production and industrial adjustment of building materials.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 39 条
[1]  
Agricultural Chemistry Committee of China, 1983, CONV METH SOIL AGR C, P70
[2]  
[Anonymous], 1963, ECON GEOL, DOI [DOI 10.2113/GSECONGEO.58.8.1246, 10.2113/gsecongeo.58.8.1246]
[3]   ISOTOPIC COMPOSITION AS AN INDICATOR OF ORIGIN OF LEAD ACCUMULATIONS IN SURFACE SOILS [J].
BACON, JR ;
BERROW, ML ;
SHAND, CA .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 1992, 46 (1-3) :71-76
[4]   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
[5]  
CARNELO LGL, 1997, SCI TOTAL ENVIRON, V204, P245, DOI DOI 10.1016/S0048-9697(97)00187-3
[6]   Geostatistical analysis of sampling uncertainty at the Tollesbury Managed Retreat site in Blackwater Estuary, Essex, UK: Kriging and cokriging approach to minimise sampling density [J].
Chang, YH ;
Scrimshaw, MD ;
Emmerson, RHC ;
Lester, JN .
SCIENCE OF THE TOTAL ENVIRONMENT, 1998, 221 (01) :43-57
[7]  
*CHANGX COUNT BUR, 2004, EC PROJ CHANGX COUNT, P89
[8]   Geostatistical analysis of soil properties of mid-west Taiwan soils [J].
Chien, YJ ;
Lee, DY ;
Guo, HY ;
Houng, KH .
SOIL SCIENCE, 1997, 162 (04) :291-298
[9]   Geostatistics in soil science: state-of-the-art and perspectives [J].
Goovaerts, P .
GEODERMA, 1999, 89 (1-2) :1-45
[10]  
Goovaerts P, 1997, GEOSTATISTICS NATURA, P85