A decision-making approach for delineating sites which are potentially contaminated by heavy metals via joint simulation

Environmental Pollution

Volumn 211, Issue , 2016, Pages 98-110

  Lin, Wei Chih ^a   Lin, Yu Pin ^a   Wang, Yung Chieh ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b National Chun Hisn University   (Taiwan)

Author keywords

Conditional simulation; Contaminated sites; Decision making; GIS; Heavy metals; Robustness; Soil; Uncertainty

Indexed keywords

CONTAMINATION; DECISION MAKING; DECISION THEORY; GEOGRAPHIC INFORMATION SYSTEMS; HEAVY METALS; IMPURITIES; ROBUSTNESS (CONTROL SYSTEMS); SOILS; UNCERTAINTY ANALYSIS;

CONDITIONAL SIMULATIONS; CONTAMINANT DISTRIBUTIONS; CONTAMINATED SITES; FALSE NEGATIVE RATE; FALSE POSITIVE RATES; INFO-GAP DECISION THEORIES; SEQUENTIAL GAUSSIAN SIMULATION; UNCERTAINTY;

SOIL POLLUTION;

ARSENIC; CADMIUM; CHROMIUM; COPPER; HEAVY METAL; LEAD; MERCURY; NICKEL; ZINC; SOIL; SOIL POLLUTANT;

COMPUTER SIMULATION; DECISION MAKING; GIS; HEAVY METAL; POLLUTION MONITORING; SOIL POLLUTION; SOIL REMEDIATION; UNCERTAINTY ANALYSIS;

ARTICLE; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); DECISION MAKING; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PLANNING; GEOGRAPHIC DISTRIBUTION; GEOSTATISTICAL ANALYSIS; PHYSICAL CHEMISTRY; PHYSICAL PARAMETERS; SOIL POLLUTION; TAIWAN; ANALYSIS; CHEMICAL MODEL; DECISION SUPPORT SYSTEM; POLLUTION; PROCEDURES; REPRODUCIBILITY; SOIL; SOIL POLLUTANT; UNCERTAINTY;

DECISION MAKING; DECISION MAKING, COMPUTER-ASSISTED; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTION; METALS, HEAVY; MODELS, CHEMICAL; REPRODUCIBILITY OF RESULTS; SOIL; SOIL POLLUTANTS; UNCERTAINTY;

EID: 84961572729     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2015.12.030     Document Type: Article

References (63)

1. O. Asghari, F. Soltni, and H.B. Amnieh The comparison between sequential gaussian simulation (SGS) of Choghart ore deposit and geostatistical estimation through ordinary kriging Aust. J. Basic Appl. Sci. 3 1 2009 330 341
2. P.M. Atkinson, and C.D. Lloyd GeoENV VII-geostatistics for Environmental Applications 2009 Springer Dordrecht 384
3. E. Bandarian, U. Mueller, J. Ferreira, and S. Richardson Transformation methods for multivariate geostatistical simulation - minimum/maximum autocorrelation factors and alternating columns-diagonal centres Advances in Orebody Modelling and Strategic Mine Planning I 2010 Spectrum Series 17
4. R.M. Barnett, J.G. Manchuk, and C.V. Deutsch Projection pursuit multivariate transform Math. Geosci. 46 3 2014 337 359
5. G.D. Betrie, R. Sadiq, K.A. Morin, and S. Tesfamariam Selection of remedial alternatives for mine sites: a multicriteria decision analysis approach J. Environ. Manag. 119 2013 36 46
6. C. Cambardella, T. Moorman, T. Parkin, D. Karlen, J. Novak, R. Turco, and A. Konopka Field-scale variability of soil properties in central Iowa soils Soil Sci. Soc. Am. J. 58 5 1994 1501 1511
7. T.K. Chang, N.C. Chang, G.S. Shyu, and Y.P. Lin Mapping soil mercury in Taiwan using geostatistics and geographic information systems J. Chin. Inst. Environ. Eng. 10 2 2000 77 85
8. N.A. Cressie Statistics for Spatial Data vol. 900 1993 Wiley New York
9. C.Z. da Silva, and J.F. Costa Minimum/maximum autocorrelation factors applied to grade estimation Stoch. Environ. Res. Risk Assess. 2014 1 10
10. S. De Bruin, D. Ballari, and A.K. Bregt Where and when should sensors move? Sampling using the expected value of information Sensors 12 12 2012 16274 16290
11. M. Delbari, P. Afrasiab, and W. Loiskandl Using sequential Gaussian simulation to assess the field-scale spatial uncertainty of soil water content Catena 79 2 2009 163 169
12. J. Escarré, C. Lefèbvre, S. Raboyeau, A. Dossantos, W. Gruber, J.C.C. Marel, and F. van Oort Heavy metal concentration survey in soils and plants of the Les Malines mining district (Southern France): implications for soil restoration Water, Air, & Soil Pollut. 216 1-4 2011 485 504
13. C. Franco, A. Soares, and J. Delgado Geostatistical modelling of heavy metal contamination in the topsoil of Guadiamar river margins (S Spain) using a stochastic simulation technique Geoderma 136 3 2006 852 864
14. J. Gómez-Hernández, A.O. Soares, and R. Froidevaux GeoENV II - geostatistics for Environmental Applications vol. 10 1999 Springer
15. P. Goovaerts Geostatistics for Natural Resources Evaluation 1997 Oxford University Press
16. P. Goovaerts Geostatistical modelling of uncertainty in soil science Geoderma 103 1 2001 3 26
17. M.T. Guillén, J. Delgado, S. Albanese, J.M. Nieto, A. Lima, and B. De Vivo Heavy metals fractionation and multivariate statistical techniques to evaluate the environmental risk in soils of Huelva Township (SW Iberian Peninsula) J. Geochem. Explor. 119 2012 32 43
18. H. Ha, J.R. Olson, L. Bian, and P.A. Rogerson Analysis of heavy metal sources in soil using kriging interpolation on principal components Environ. Sci. Technol. 48 9 2014 4999 5007
19. D.R. Harp, and V.V. Vesselinov Contaminant remediation decision analysis using information gap theory Stoch. Environ. Res. Risk Assess. 27 1 2013 159 168
20. I.B. Huang, J. Keisler, and I. Linkov Multi-criteria decision analysis in environmental sciences: ten years of applications and trends Sci. Total Environ. 409 19 2011 3578 3594
21. X.-N. Huo, H. Li, D.-F. Sun, L.-D. Zhou, and B.-G. Li Combining geostatistics with Moran's I analysis for mapping soil heavy metals in Beijing, China Int. J. Environ. Res. Public Health 9 3 2012 995 1017
22. C. Jagat, F. Carrat, C. Lajaunie, and H. Wackernagel Geostatistics for Environmental Applications-proceedings of the Sixth European Conference on Geostatistics for Environmental Applications, Chapter Early Detection and Assessment of Epidemics by Particle Filtering 2008
23. K.W. Juang, Y.S. Chen, and D.Y. Lee Using sequential indicator simulation to assess the uncertainty of delineating heavy-metal contaminated soils Environ. Pollut. 127 2 2004 229 238
24. K.W. Juang, and D.Y. Lee Simple indicator kriging for estimating the probability of incorrectly delineating hazardous areas in a contaminated site Environ. Sci. Technol. 32 17 1998 2487 2493
25. R. Kerry, P. Goovaerts, R.P. Haining, and V. Ceccato Applying geostatistical analysis to crime data: car-related thefts in the Baltic states Geogr. Anal. 42 1 2010 53 77
26. B. Korteling, S. Dessai, and Z. Kapelan Using information-gap decision theory for water resources planning under severe uncertainty Water Resour. Manag. 27 4 2013 1149 1172
27. X. Li, and L. Feng Multivariate and geostatistical analyzes of metals in urban soil of Weinan industrial areas, Northwest of China Atmos. Environ. 47 2012 58 65
28. X. Li, L. Liu, Y. Wang, G. Luo, X. Chen, X. Yang, M.H. Hall, R. Guo, H. Wang, and J. Cui Heavy metal contamination of urban soil in an old industrial city (Shenyang) in Northeast China Geoderma 192 2013 50 58
29. W.C. Lin, Y.P. Lin, J. Anthony, and T.S. Ding Avian conservation areas as a proxy for contaminated soil remediation Int. J. Environ. Res. Public Health 12 7 2015 8312 8331
30. W.-C. Lin, Y.-P. Lin, Y.-C. Wang, T.-K. Chang, and L.-C. Chiang Assessing and mapping spatial associations among oral cancer mortality rates, concentrations of heavy metals in soil, and land use types based on multiple scale data Int. J. Environ. Res. Public Health 11 2 2014 2148 2168
31. Y.P. Lin, B.Y. Cheng, H.J. Chu, T.K. Chang, and H.L. Yu Assessing how heavy metal pollution and human activity are related by using logistic regression and kriging methods Geoderma 163 3 2011 275 282
32. Y.-P. Lin Multivariate geostatistical methods to identify and map spatial variations of soil heavy metals Environ. Geol. 42 1 2002 1 10
33. Y.-P. Lin, B.-Y. Cheng, G.-S. Shyu, and T.-K. Chang Combining a finite mixture distribution model with indicator kriging to delineate and map the spatial patterns of soil heavy metal pollution in Chunghua County, central Taiwan Environ. Pollut. 158 1 2010 235 244
34. Y.-P. Lin, W.-C. Lin, M.-Y. Li, Y.-Y. Chen, L.-C. Chiang, and Y.-C. Wang Identification of spatial distributions and uncertainties of multiple heavy metal concentrations by using spatial conditioned latin Hypercube sampling Geoderma 230 2014 9 21
35. I. Linkov, F.K. Satterstrom, G. Kiker, C. Batchelor, T. Bridges, and E. Ferguson From comparative risk assessment to multi-criteria decision analysis and adaptive management: Recent developments and applications Environ. Int. 32 8 2006 1072 1093
36. J. Lv, Y. Liu, Z. Zhang, and J. Dai Factorial kriging and stepwise regression approach to identify environmental factors influencing spatial multi-scale variability of heavy metals in soils J. Hazard. Mater. 261 2013 387 397
37. J.R. Martín, J.J. Ramos-Miras, R. Boluda, and C. Gil Spatial relations of heavy metals in arable and greenhouse soils of a Mediterranean environment region (Spain) Geoderma 200 2013 180 188
38. I. Massas, D. Kalivas, C. Ehaliotis, and D. Gasparatos Total and available heavy metal concentrations in soils of the Thriassio plain (Greece) and assessment of soil pollution indexes Environ. Monit. Assess. 185 8 2013 6751 6766
39. E.S. Matrosov, A.M. Woods, and J.J. Harou Robust decision making and info-gap decision theory for water resource system planning J. Hydrol. 494 2013 43 58
40. K.B. Mmolawa, A.S. Likuku, and G.K. Gaboutloeloe Assessment of heavy metal pollution in soils along major roadside areas in Botswana Afr. J. Environ. Sci. Technol. 5 3 2011 186 196
41. U.A. Mueller, and J. Ferreira The U-WEDGE transformation method for multivariate geostatistical simulation Math. Geosci. 44 4 2012 427 448
42. N. Nanos, and J.A.R. Martín Multiscale analysis of heavy metal contents in soils: spatial variability in the Duero river basin (Spain) Geoderma 189 2012 554 562
43. D. O'Malley, and V. Vesselinov Groundwater remediation using the information gap decision theory Water Resour. Res. 50 1 2014 246 256
44. G.S. Parnell, M.B.A. Terry Bresnick, S.N. Tani, and E.R. Johnson Handbook of Decision Analysis vol. 6 2013 John Wiley & Sons
45. A. Petrotou, K. Skordas, G. Papastergios, and A. Filippidis Factors affecting the distribution of potentially toxic elements in surface soils around an industrialized area of northwestern Greece Environ. Earth Sci. 65 3 2012 823 833
46. A. Piegat, and K. Tomaszewska Decision-making under uncertainty using Info-Gap theory and a new multi-dimensional RDM interval arithmetic Electrotech. Rev. 89 8 2013 71 76
47. D. Ramanujan, W.Z. Bernstein, J.K. Choi, M. Koho, F. Zhao, and K. Ramani Prioritizing design for environment strategies using a stochastic analytic hierarchy process J. Mech. Des. 136 7 2014 071002
48. H.M. Regan, Y. Ben-Haim, B. Langford, W.G. Wilson, P. Lundberg, S.J. Andelman, and M.A. Burgman Robust decision-making under severe uncertainty for conservation management Ecol. Appl. 15 4 2005 1471 1477
49. O. Rondon Teaching aid: minimum/maximum autocorrelation factors for joint simulation of attributes Math. Geosci. 44 4 2012 469 504
50. X. Sánchez-Vila, J. Carrera, and J. Gómez-Hernandez GeoENV IV-geostatistics for Environmental Applications 2004 Kluwer Academic 560
51. B. Sohrabian, and A.E. Tercan Multivariate geostatistical simulation by minimising spatial cross-correlation Comptes Rendus - Géosci. 346 Issue 3-4 2014 64 74
52. R.N. Stewart, and S.T. Purucker An environmental decision support system for spatial assessment and selective remediation Environ. Model. Softw. 26 6 2011 751 760
53. E. Tajvidi, M. Monjezi, O. Asghari, X. Emery, and S. Foroughi Application of joint conditional simulation to uncertainty quantification and resource classification Arab. J. Geosci. 2013 1 9
54. A.E. Tercan Importance of orthogonalization algorithm in modelling conditional distributions by orthogonal transformed indicator methods Math. Geol. 31 1999 155 174
55. P. Tichavsky, and A. Yeredor Fast approximate joint diagonalization incorporating weight matrices. Signal processing IEEE Trans. On. 57 3 2009 878 891
56. Y. Volchko, J. Norrman, L. Rosén, M. Bergknut, S. Josefsson, T. Söderqvist, T. Norberg, K. Wiberg, and M. Tysklind Using soil function evaluation in multi-criteria decision analysis for sustainability appraisal of remediation alternatives Sci. Total Environ. 485 2014 785 791
57. H. Wackernagel Multivariate Geostatistics 2003 Springer
58. M. Werkenthin, B. Kluge, and G. Wessolek Metals in European roadside soils and soil solution-A review Environ. Pollut. 189 2014 98 110
59. W. Wu, D.-T. Xie, and H.-B. Liu Spatial variability of soil heavy metals in the three gorges area: multivariate and geostatistical analyses Environ. Monit. Assess. 157 1-4 2009 63 71
60. T. Xie, D.E. Myers, and A.E. Long Fitting matrix-valued variogram models by simultaneous diagonalization (Part II: application) Math. Geol. 27 7 1995 877 888
61. R.J. Yao, J.S. Yang, P. Gao, H.B. Shao, X.B. Chen, and S.P. Yu Multivariate simulation and assessment of three dimensional spatial patterns of coastal soil salinity using ancillary variables Fresenius Environ. Bull. 22 1 2013 39 52
62. Y. Zhao, X. Xu, B. Huang, W. Sun, X. Shao, X. Shi, and X. Ruan Using robust kriging and sequential Gaussian simulation to delineate the copper-and lead-contaminated areas of a rapidly industrialized city in Yangtze River Delta, China Environ. Geol. 52 7 2007 1423 1433
63. Y. Zhao, X. Xu, W. Sun, B. Huang, J.L. Darilek, and X. Shi Uncertainty assessment of mapping mercury contaminated soils of a rapidly industrializing city in the Yangtze River Delta of China using sequential indicator co-simulation Environ. Monit. Assess. 138 1-3 2008 343 355