Geostatistical conditional simulation for the assessment of contaminated land by abandoned heavy metal mining

Environmental Toxicology

Volumn 23, Issue 1, 2008, Pages 96-109

  Ersoy, Adern ^a   Yunsel, Tayfun Yusuf ^a   Atici, Ümit ^b  

^a CUKUROVA UNIVERSITY   (Turkey)

^b NIGDE UNIVERSITY   (Turkey)

Author keywords

Abandoned mine; Contaminated land assessment; Geostatistical simulation; Heavy metals; Probability map; Site characterization

Indexed keywords

ABANDONED MINES; CONTAMINATION; ENVIRONMENTAL PROTECTION; HEALTH CARE; SOILS;

CONTAMINATED LAND; GEOSTATISTICAL SIMULATION; HUMAN HEALTH; PROBABILITY MAP; SITE CHARACTERIZATION;

HEAVY METALS;

LEAD; ZINC;

ABANDONED MINE; ANISOTROPY; ASSESSMENT METHOD; CONTAMINATED LAND; GEOSTATISTICS; HEAVY METAL; LEAD; MODELING; SOIL POLLUTION; SPATIAL DISTRIBUTION; ZINC;

ANISOTROPY; ARTICLE; BIOREMEDIATION; CELL DECLUSTERING TECHNIQUE; DECISION MAKING; GEOMETRY; GEOSTATISTICAL ANALYSIS; HEAVY METAL POISONING; HISTOGRAM; MINING; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; SIMULATION; SOIL POLLUTION; STATISTICAL ANALYSIS; UNCERTAINTY; UNITED KINGDOM; VALIDATION PROCESS;

DATA INTERPRETATION, STATISTICAL; ENGLAND; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; METALS, HEAVY; MINING; MODELS, STATISTICAL; SOIL POLLUTANTS;

CARSINGTON WATER; DERBYSHIRE; ENGLAND; EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

EID: 39449094552     PISSN: 15204081     EISSN: 15227278     Source Type: Journal    
DOI: 10.1002/tox.20314     Document Type: Article

References (32)

1. Barkowski D, Machtolf M. 1998. Bewertungsleitfaden Kleingaerten und Altablagerungen (Guidance for the assessment of allotments on contaminated land), W980151. Bielefeld, Bitterfeld: IFUA Institute for environmental analysis.
2. British Standards Institute. 2001. BS10175: British standard code of practice for the investigation of potentially contaminated sites. London, UK.
3. Cinnirella S, Buttafuoco G, Pirrone N. 2005. Stochastic analysis to assess the spatial distribution of groundwater nitrate concentrations in the Po Catchment (Italy). Environ Pollut 113:569-580.
4. Castrignano A, Buttafuoco G. 2004. Geostatistical stochastic simulation of soil water content in a forested area of south Italy. Biosyst Eng 87:257-266.
5. Costa J, Zingano AC, Koppe JC. 2000. Simulation - An approach to risk analysis in coal mining. CIM. Explor Mining Geol 9:43-49.
6. Department for Environment, Food and Rural Affairs (DEFRA) and the Environment Agency. 2002. Contaminated Land Assessment Reports (CLR reports 7, 8, 9 and 10). London, UK.
7. Deutsch CV. 2002. Geostatistical Reservoir Modelling. New York: Oxford University press. 474 p.
8. Deutsch CV, Journel AG. 1997. GSLib: Geostatistical software Library and User's Guide, 2nd edition. New York: Oxford University press. 369 p.
9. Englund EJ, Sparks A, Robinson MD. 1989. Geo-EAS (Geostatistical Environmental Assessment Software), London, UK.
10. Ersoy A, Yunsel TY, Cetin M. 2004. Characterisation of land contaminated by past heavy metal mining using geostatistical methods. Arch Environ Contamin Toxicol 46:162-175.
11. Ferguson CC. 1994. Sampling strategies for contaminated land. Department of Environment: contaminated land research report, No. 4, the Nottingham Trent University.
12. Geovariances. 2006. Isatis Software, France, 579 p.
13. Golden. 1999. Golden Software, Colorado, USA.
14. Gómez-Hernández JJ, Cassiraga EF. 1994. Theory and practice of sequential indicator simulation. In: Armstrong M, Dowd PA, editors. Geostatistical Simulations. Dordrecht: Kluwer-Academic. pp 111-124.
15. Goovaerts P. 1996. Stochastic simulation of categorical variably using a classification algorithm and simulated annealing. Math Geol 28:909-921.
16. Goovaerts P. 1997. Kriging versus stochastic simulation for risk analysis in soil contamination. In: Soares A, et al., editors. Geo-ENV I- Geostatistics for Environmental Applications. Vol. 9. Kluwer-Academic. pp 247-258.
17. Harvey PK, Atkin BP. 1982. Automated X-ray fluorescence analysis. Special volume: Sampling and analysis for the mineral industry. Inst Mining Metallur 17-26.
18. Hooker PJ, Nathanail CP. 2005. Risk-based characterisation of lead in urban soils. Chem Geol 226:340-351.
19. Interdepartmental Committee on the Redevelopment of Contaminated Land (ICRCL). 1987. Guidance on the assessment and redevelopment of contaminated land. London.
20. Journel AG, Alabert F. 1989. Non-Gaussian data expansion in the earth sciences. Terra Nova 1:123-134.
21. Journel AG, Kyriakidis PC. 2004. Evaluation of mineral reserves: A Simulation Approach. New York: Oxford University Press. 216 p.
22. Journel AG. 1994. Modelling uncertainty: Some conceptual thoughts. In: Dimitrakopoulos R, editor. Geostatistics for the Next Century. Dordrecht: Kluwer-Academic. pp. 30-43.
23. Korre A, Durucan S, Koutroumani A. 2002. Quantitative-spatial assessment of the risk associated with high Pb loads in soils around Lavrio. Greece, Appl Geochem 17:1029-1045.
24. Lipton I, Gaze R, Horton J, Khosrowshahi S. 1998. Practical application of multiple indicator kriging and conditional simulation to recoverable resource estimation for the Halley's Lateritic Nickel Deposit. Beyond Ordinary Kriging: Non-Linear Geostatistical Methods in Practice, Proceedings of A 1 Day Symposium, Perth. pp 88-105.
25. Loredo J, Pereira A, Ordonezi A. 2003. Untreated abandoned mercury mining works in a scenic area of Asturias (Spain). Environ Int 29:481-491.
26. McGrath D, Zhang C, Carton OT. 2004. Geostatistical analyses and hazard assessment on soil lead in silvermines area, Ireland. Environ Pollut 127:239-248.
27. Morakinyo JA, Mackay R. 2005. Geostatistical modelling of ground conditions to support the assessment of site contamination. Stoch. Environ Res Risk Assess 20:106-118.
28. Myers JC. 1997. Geostatistical Error Management: Quantifying Uncertainty for Environmental Sampling and Mapping. New York, USA: International Thomson.
29. Potts PJ, Webb PC. 1992. X-ray fluorescence spectrometry. In: Hall GEM, editors. Geoanalysis. J Geochem Explor 44:251-296.
30. Petts J, Cairney T, Smith M. 1997. Risk-Based Contaminated Land Investigation and Assessment. Chichester: Wiley.
31. USEPA. 2001. United States Environmental Protection Agency, Lead and Compounds (inorganic), Integrated Risk Information System (IRIS, the USEPA online chemical toxicity information service).
32. WHO. 2000. Safety evaluation of certain food additives and contaminants, prepared by the Fifty-Third Meeting of the Joint FAO/WHO Expert Committee on Food Additives, Food Additives Series 44, Geneva.