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Geostatistical simulation for the assessment of regional soil pollution

Marc Van Meirvenne UGent and Meklit Tariku Chernet UGent (2010) GEOGRAPHICAL ANALYSIS. 42(2). p.121-135
abstract
Regional scale inventories of heavy metal concentrations in soil increasingly are being done to evaluate their global patterns of variation. Sometimes these global pattern evaluations reveal information that is not identified by more detailed studies. Geostatistical methods, such as stochastic simulation, have not yet been used routinely for this purpose in spite of their potential. To investigate such a use of geostatistical methods, we analyzed a data set of 14,674 copper and 12,441 cadmium observations in the topsoil of Flanders, Belgium, covering 13,522 km(2). Outliers were identified and removed, and the distributions were spatially declustered. Copper was analyzed using sequential Gaussian simulation, whereas for cadmium we used sequential indicator simulation because of the large proportion (43%) of censored data. We complemented maps of the estimated values with maps of the probability of exceeding a critical sanitation threshold for agricultural land use. These sets of maps allowed the identification of regional patterns of increased metal concentrations and provided insight into their potential causes. Mostly areas with known industrial activities (such as lead and zinc smelters) could be delineated, but the effects of shells fired during the First World War were also identified.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
CONTAMINATION
journal title
GEOGRAPHICAL ANALYSIS
Geogr. Anal.
volume
42
issue
2
pages
15 pages
Web of Science type
Article
Web of Science id
000276655300002
JCR category
GEOGRAPHY
JCR impact factor
1.5 (2010)
JCR rank
19/65 (2010)
JCR quartile
2 (2010)
ISSN
0016-7363
DOI
10.1111/j.1538-4632.2010.00786.x
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
945112
handle
http://hdl.handle.net/1854/LU-945112
date created
2010-05-11 09:40:03
date last changed
2010-05-25 09:07:07
@article{945112,
  abstract     = {Regional scale inventories of heavy metal concentrations in soil increasingly are being done to evaluate their global patterns of variation. Sometimes these global pattern evaluations reveal information that is not identified by more detailed studies. Geostatistical methods, such as stochastic simulation, have not yet been used routinely for this purpose in spite of their potential. To investigate such a use of geostatistical methods, we analyzed a data set of 14,674 copper and 12,441 cadmium observations in the topsoil of Flanders, Belgium, covering 13,522 km(2). Outliers were identified and removed, and the distributions were spatially declustered. Copper was analyzed using sequential Gaussian simulation, whereas for cadmium we used sequential indicator simulation because of the large proportion (43\%) of censored data. We complemented maps of the estimated values with maps of the probability of exceeding a critical sanitation threshold for agricultural land use. These sets of maps allowed the identification of regional patterns of increased metal concentrations and provided insight into their potential causes. Mostly areas with known industrial activities (such as lead and zinc smelters) could be delineated, but the effects of shells fired during the First World War were also identified.},
  author       = {Van Meirvenne, Marc and Tariku Chernet, Meklit},
  issn         = {0016-7363},
  journal      = {GEOGRAPHICAL ANALYSIS},
  keyword      = {CONTAMINATION},
  language     = {eng},
  number       = {2},
  pages        = {121--135},
  title        = {Geostatistical simulation for the assessment of regional soil pollution},
  url          = {http://dx.doi.org/10.1111/j.1538-4632.2010.00786.x},
  volume       = {42},
  year         = {2010},
}

Chicago
Van Meirvenne, Marc, and Meklit Tariku Chernet. 2010. “Geostatistical Simulation for the Assessment of Regional Soil Pollution.” Geographical Analysis 42 (2): 121–135.
APA
Van Meirvenne, M., & Tariku Chernet, M. (2010). Geostatistical simulation for the assessment of regional soil pollution. GEOGRAPHICAL ANALYSIS, 42(2), 121–135.
Vancouver
1.
Van Meirvenne M, Tariku Chernet M. Geostatistical simulation for the assessment of regional soil pollution. GEOGRAPHICAL ANALYSIS. 2010;42(2):121–35.
MLA
Van Meirvenne, Marc, and Meklit Tariku Chernet. “Geostatistical Simulation for the Assessment of Regional Soil Pollution.” GEOGRAPHICAL ANALYSIS 42.2 (2010): 121–135. Print.