Modeling spatial uncertainty of heavy metal content in soil by conditional Latin hypercube sampling and geostatistical simulation

Yu Pin Lin, Hone-Jay Chu, Yu Long Huang, Bai You Cheng, Tsun Kuo Chang

研究成果: Article

14 引文 (Scopus)

摘要

This study proposes the method of simulating spatial patterns and quantifying the uncertainty in multivariate distribution of heavy metals (Cr,Cu,Ni,and Zn) by sequential indicator simulation (SIS) combined with conditional Latin hypercube sampling (cLHS) in Changhua County, Taiwan. The cLHS is used for a sampling then for SIS mapping and assessing uncertainties of heavy metal concentrations. The indicator variogram results indicate that the 700 cLHS samples replicate statistical multivariate distribution and spatial structure of the 1,082 samples. Moreover, the SIS realizations based on 700 cLHS samples are more conservative and reliable than those based on 1,082 samples for delineating soil contamination by all heavy metals with the exception of Zn. Given adequate sampling, soil contamination simulation provides sufficient information for delineating contaminated areas and planning environmental management.

原文English
頁(從 - 到)299-311
頁數13
期刊Environmental Earth Sciences
62
發行號2
DOIs
出版狀態Published - 2011 一月 1

指紋

Heavy Metals
Heavy metals
heavy metals
uncertainty
heavy metal
Sampling
Soils
sampling
modeling
simulation
soil
Contamination
soil pollution
Environmental management
variogram
environmental management
Uncertainty
Planning
indicator
Taiwan

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Environmental Chemistry
  • Water Science and Technology
  • Soil Science
  • Pollution
  • Geology
  • Earth-Surface Processes

引用此文

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Modeling spatial uncertainty of heavy metal content in soil by conditional Latin hypercube sampling and geostatistical simulation. / Lin, Yu Pin; Chu, Hone-Jay; Huang, Yu Long; Cheng, Bai You; Chang, Tsun Kuo.

於: Environmental Earth Sciences, 卷 62, 編號 2, 01.01.2011, p. 299-311.

研究成果: Article

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