Assessing how heavy metal pollution and human activity are related by using logistic regression and kriging methods

Geoderma

Volumn 163, Issue 3-4, 2011, Pages 275-282

  Lin, Yu Pin ^a   Cheng, Bai You ^a   Chu, Hone Jay ^b   Chang, Tsun Kuo ^a   Yu, Hwa Lung ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Heavy metal; Indicator kriging; Logistic regression; Regression kriging; Soil contaminant

Indexed keywords

AUXILIARY VARIABLES; CONTROL STANDARDS; ESTIMATION RESULTS; GOODNESS OF FIT; HAZARD AREAS; HAZARD ZONES; HAZARDOUS AREA; HEAVY METAL CONTENTS; HEAVY METAL POLLUTION; HUMAN ACTIVITIES; INDICATOR KRIGING; IRRIGATION SYSTEMS; KRIGING METHODS; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS; POLLUTION SOURCES; REGRESSION-KRIGING; SOIL CONTAMINANT; SOIL CONTAMINATION; SOIL RESOURCES; SPATIAL PATTERNS; STUDY AREAS;

FORESTRY; HAZARDS; HEAVY METALS; HUMAN ENGINEERING; INDUSTRIAL PLANTS; INTERPOLATION; METALS; REGRESSION ANALYSIS; SOILS;

SOIL POLLUTION;

HAZARD ASSESSMENT; HEAVY METAL; HUMAN ACTIVITY; INDUSTRIAL LOCATION; IRRIGATION; KRIGING; LAND USE; POLLUTANT SOURCE; POLLUTANT TRANSPORT; POLLUTION MONITORING; PROBABILITY; REGRESSION ANALYSIS; RISK ASSESSMENT; SOIL POLLUTION;

TAIWAN;

EID: 79958035842     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.05.004     Document Type: Article

References (46)

1. Assadian N.W., Esparza L.C., Fenn L.B., et al. Spatial variability of heavy metals in irrigated alfalfa fields in the upper Rio Grande River basin. Agricultural Water Management 1998, 36(2):141-156.
2. Baxter S.J., Oliver M.A. The spatial prediction of soil mineral N and potentially available N using elevation. Geoderma 2005, 128(3-4):325-339.
3. Brus D.J., de Gruijter J.J., Walvoort D.J.J., de Vries F., Bronswijk J.J.B., Romkens P.F.A.M., et al. Mapping the probability of exceeding critical thresholds for cadmium concentrations in soils in the Netherlands. Journal of Environmental Quality 2002, 31:1875-1884.
4. Carré F., Girard M.C. Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes. Geoderma 2002, 110(3-4):241-263.
5. Chu H.J., Lin Y.P., Jang C.S., Chang T.K. Delineating the hazard zone of multiple soil pollutants by multivariate indicator kriging and conditioned Latin hypercube sampling. Geoderma 2010, 158(3-4):242-251.
6. Deutsch C.V., Journel A.G. GSLIB 1992, Oxford University Press, New York, Geostatistical software library and user's guide.
7. Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 2006, 27:861-874.
8. Goovaerts P. Geostatistics for Natural Resources Evaluation 1997, Oxford Univ, Press, New York, 483pp.
9. Hengl T., Heuvelink G.B.M., Rossiter D.G. About regression-kriging: from equations to case studies. Computers & Geosciences 2007, 33(10):1301-1315.
10. Hengl T., Heuvelink G., Stein A. A generic framework for spatial prediction of soil variables based on regression kriging. Geoderma 2004, 122(1-2):75-93.
11. Hessl A., Miller J., Kernan J., Keenum D., McKenzie D. Mapping paleo-fire boundaries from binary point data: comparing interpolation methods. Professional Geographer 2007, 59(1):87-104.
12. Hossain M.F. Arsenic contamination in Bangladesh-an overview. Agriculture Ecosystems & Environment 2006, 113(1-4):1-16.
13. Huang S.S., Liao Q.L., Hua M., Wu X.M., Bi K.S., Yan C.Y., et al. Survey of heavy metal pollution and assessment of agricultural soil in Yangzhong district, Jiangsu Province, China. Chemosphere 2007, 67:2148-2155.
14. Juang K.W., Lee D.Y. A comparison of three kriging methods using auxiliary variables in heavy-metal contaminated soils. Journal of Environmental Quality 1998, 27(2):355-363.
15. Kien C.N., Noi N.V., Son L.T., et al. Heavy metal contamination of agricultural soils around a chromite mine in Vietnam. Soil Science and Plant Nutrition 2010, 56(2):344-356.
16. Lee J.J., Jang C.S., Liu C.W., et al. Determining the probability of arsenic in groundwater using a parsimonious model. Environmental Science & Technology. 2009, 43(17):6662-6668.
17. Lee S. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data journals. International Journal of Remote Sensing 2005, 26:1477-1491.
18. Li Y., McCrory D.F., Powell J.M., et al. A survey of selected heavy metal concentrations in Wisconsin dairy feeds. Journal of Dairy Science 2005, 88(8):2911-2922.
19. Lin Y.P., Chang T.K. Simulated annealing and kriging method for identifying the spatial patterns and variability of Soil heavy metal. Journal of Environmental Science and Health, Part A-Toxic/Hazardous Substance and Environmental Engineering 2000, A35(7):1089-1115.
20. Lin Y.P., Chang T.K. Geostatistical Simulation and Estimation of the Spatial Variability of Soil Zinc,. Journal of Environmental Science and Health, Part A-Toxic/Hazardous Substance and Environmental Engineering 2000, A35(3):327-347.
21. Lin Y.P., Tan Y.C., Rouhani S. Identifying spatial characteristics of transmissivity using simulated annealing and kriging methods. Environmental geology 2001, 41(1-2):200-208.
22. Lin Y.P., Chang T.K., Shih C.W., Tseng C.H. Factorial and indicator kriging methods using a geographic information system to delineate spatial variation and pollution sources of soil heavy metals. Environmental Geology 2002, 42:900-909.
23. Lin Y.P. Multivariate geostatistical methods to identify and map spatial variations of soil heavy metals. Environmental Geology 2002, 42(1):1-10.
24. Lin Y.B., Tan Y.C., Lin Y.P., Liu C.W., Hung C.J. Geostatistical method to delineate anomalies of multi-scale spatial variation in hydrogeological changes due to the ChiChi earthquake in the ChouShui River alluvial fan in Taiwan. Environmental geology 2004, 47(1):102-118.
25. Lin Y.P., Cheng B.Y., Shyu G.S., Chang T.K. 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. Environmental Pollution 2010, 158(1):235-244.
26. Lin Y.P., Chu H.J., Wu C.F., Chang T.K., Chen C.Y. Hotspot analysis of spatial environmental pollutants using kernel density estimation and geostatistical techniques. International Journal of Environmental Research and Public Health. 2011, 8(1):75-88.
27. Liu A.G., Ming J.H., Ankumah R.O. Nitrate contamination in private wells in rural Alabama, United States. Science of the Total Environment 2005, 346(1-3):112-120.
28. Martin J.A.R., Arias M.L., Corbi J.M.G. Heavy metals contents in agricultural topsoils in the Ebro basin (Spain). Application of the multivariate geoestatistical methods to study spatial variations, Environmental Pollution 2006, 144(3):1001-1012.
29. Odeh I., McBratney A., Chittleborough D. Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging. Geoderma 1995, 67(3-4):215-226.
30. Rawls W.J., Brakensiek D.L., Saxton K.E. Estimation of soil water properties. Transactions of the ASAE 1982, 25(5):1316-1320.
31. Rehman W., Zeb A., Noor N., et al. Heavy metal pollution assessment in various industries of Pakistan. Environmental Geology 2008, 55(2):353-358.
32. Rivero R.G., Grunwald S., Bruland G.L. Incorporation of spectral data into multivariate geostatistical models to map soil phosphorus variability in a Florida wetland. Geoderma 2007, 140(4):428-443.
33. Saito H., Goovaerts P. Accounting for source location and transport direction into geostatistical prediction of contaminants. Environmental Science & Technology 2001, 35(24):4823-4829.
34. Sarkar S.K., Franciskovic-Bilinski S., Bhattacharya A., et al. Levels of elements in the surficial estuarine sediments of the Hugli River, northeast India and their environmental implications. Environment International 2004, 30(8):1089-1098.
35. Schwartz F.W., Zhang H. Fundamentals of Ground Water 2003, John Wiley & Sons, Inc., New York.
36. Shomar B. Sources and build up of Zn, Cd, Cr and Pb in the sludge of Gaza. Environmental Monitoring and Assessment 2009, 155(1-4):51-62.
37. Simbahan G.C., Dobermann A., Goovaerts P., Ping J., Haddix M.L. Fine-resolution mapping of soil organic carbon based on multivariate secondary data. Geoderma 2006, 132(3-4):471-489.
38. Stacey K.F., Lark R.M., Whitmore A.P., et al. 2006. Using a process model and regression kriging to improve predictions of nitrous oxide emissions from soil, Geoderma 2006, 135:107-117.
39. Suciu I., Cosma C., Todica M., et al. Analysis of soil heavy metal pollution and pattern in central Transylvania. International Journal of Molecular Sciences 2008, 9(4):434-453.
40. Tesoriero A.J., Voss F.D. Predicting the probability of elevated nitrate concentrations in the Puget Sound Basin: implications for aquifer susceptibility and vulnerability. Ground Water 1997, 35(6):1029-1039.
41. Twarakavi N.K.C., Kaluarachchi J.J. Aquifer vulnerability assessment to heavy metals using ordinal logistic regression. Ground Water 2005, 43(2):200-214.
42. Van Meirvenne M., Goovaerts P. Evaluating the probability of exceeding a site-specific soil cadmium contamination threshold. Geoderma 2001, 102(1-2):75-100.
43. Wang Q.R., Cui Y.S., Liu X.M., et al. Soil contamination and plant uptake of heavy metals at polluted sites in China. Journal of Environmental Science and Health, Part A Toxic/Hazardous Substances and Environmental Engineering 2003, 38(5):823-838.
44. Wischmeier W.H., Johnson C.B., Cross B.V. A soil erodibility nomograph for farmland and construction sites. Journal of Soil and Water Conservation 1971, 26:189-193.
45. Yu H., Wang J.L., Fang W., et al. Cadmium accumulation in different rice cultivars and screening for pollution-safe cultivars of rice. Science of the Total Environment 2006, 370(2-3):302-309.
46. Zhao Y.C., Xu X.H., Huang B., Sun W.X., Shao X.X., Shi X.Z., et al. 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. Environmental Geology 2007, 52(7):1423-1433.