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Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS.
Environ Pollut. 2006 May; 141(2):257-64.EP

Abstract

For many practical problems in environmental management, information about soil heavy metals, relative to threshold values that may be of practical importance is needed at unsampled sites. The Hangzhou-Jiaxing-Huzhou (HJH) Plain has always been one of the most important rice production areas in Zhejiang province, China, and the soil heavy metal concentration is directly related to the crop quality and ultimately the health of people. Four hundred and fifty soil samples were selected in topsoil in HJH Plain to characterize the spatial variability of Cu, Zn, Pb, Cr and Cd. Ordinary kriging and lognormal kriging were carried out to map the spatial patterns of heavy metals and disjunctive kriging was used to quantify the probability of heavy metal concentrations higher than their guide value. Cokriging method was used to minimize the sampling density for Cu, Zn and Cr. The results of this study could give insight into risk assessment of environmental pollution and decision-making for agriculture.

Authors+Show Affiliations

Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China.No affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16271428

Citation

Liu, Xingmei, et al. "Characterizing the Risk Assessment of Heavy Metals and Sampling Uncertainty Analysis in Paddy Field By Geostatistics and GIS." Environmental Pollution (Barking, Essex : 1987), vol. 141, no. 2, 2006, pp. 257-64.
Liu X, Wu J, Xu J. Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS. Environ Pollut. 2006;141(2):257-64.
Liu, X., Wu, J., & Xu, J. (2006). Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS. Environmental Pollution (Barking, Essex : 1987), 141(2), 257-64.
Liu X, Wu J, Xu J. Characterizing the Risk Assessment of Heavy Metals and Sampling Uncertainty Analysis in Paddy Field By Geostatistics and GIS. Environ Pollut. 2006;141(2):257-64. PubMed PMID: 16271428.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS. AU - Liu,Xingmei, AU - Wu,Jianjun, AU - Xu,Jianming, Y1 - 2005/11/02/ PY - 2005/02/08/received PY - 2005/08/19/accepted PY - 2005/11/8/pubmed PY - 2006/12/22/medline PY - 2005/11/8/entrez SP - 257 EP - 64 JF - Environmental pollution (Barking, Essex : 1987) JO - Environ Pollut VL - 141 IS - 2 N2 - For many practical problems in environmental management, information about soil heavy metals, relative to threshold values that may be of practical importance is needed at unsampled sites. The Hangzhou-Jiaxing-Huzhou (HJH) Plain has always been one of the most important rice production areas in Zhejiang province, China, and the soil heavy metal concentration is directly related to the crop quality and ultimately the health of people. Four hundred and fifty soil samples were selected in topsoil in HJH Plain to characterize the spatial variability of Cu, Zn, Pb, Cr and Cd. Ordinary kriging and lognormal kriging were carried out to map the spatial patterns of heavy metals and disjunctive kriging was used to quantify the probability of heavy metal concentrations higher than their guide value. Cokriging method was used to minimize the sampling density for Cu, Zn and Cr. The results of this study could give insight into risk assessment of environmental pollution and decision-making for agriculture. SN - 0269-7491 UR - https://www.unboundmedicine.com/medline/citation/16271428/Characterizing_the_risk_assessment_of_heavy_metals_and_sampling_uncertainty_analysis_in_paddy_field_by_geostatistics_and_GIS_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0269-7491(05)00454-9 DB - PRIME DP - Unbound Medicine ER -