Use of multivariate indicator kriging methods for assessing groundwater contamination extents for irrigation

Environmental Monitoring and Assessment

Volumn 185, Issue 5, 2013, Pages 4049-4061

  Jang, Cheng Shin ^a  

^a Department of Logistics and Shipping Management   (Taiwan)

Author keywords

Cross validation; Groundwater; Irrigation; Multivariate indicator kriging (MVIK); Uncertainty

Indexed keywords

CONTAMINATION POTENTIALS; CROSS VALIDATION; GROUNDWATER CONTAMINATION; MULTIVARIATE GEOSTATISTICAL APPROACH; MULTIVARIATE INDICATOR KRIGING; PROTECTION AND UTILIZATIONS; RISKS AND UNCERTAINTIES; UNCERTAINTY;

AQUIFERS; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; INTERPOLATION; IRRIGATION; POLLUTION; WATER QUALITY;

GROUNDWATER POLLUTION;

GROUND WATER;

AQUIFER; ENVIRONMENTAL ASSESSMENT; GEOSTATISTICS; GROUNDWATER POLLUTION; IRRIGATION; KRIGING; MULTIVARIATE ANALYSIS; UNCERTAINTY ANALYSIS;

ANALYTICAL ERROR; AQUIFER; ARTICLE; INTERMETHOD COMPARISON; IRRIGATION (AGRICULTURE); KRIGING; MULTIVARIATE ANALYSIS; VALIDATION PROCESS; WATER CONTAMINATION; WATER POLLUTANT; WATER POLLUTION; WATER QUALITY; CHEMISTRY; ENVIRONMENTAL MONITORING; METHODOLOGY; SPATIAL ANALYSIS; STATISTICS;

AGRICULTURAL IRRIGATION; ENVIRONMENTAL MONITORING; GROUNDWATER; MULTIVARIATE ANALYSIS; SPATIAL ANALYSIS; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL;

MLCS; MLOWN;

EID: 84878345077     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-012-2848-x     Document Type: Article

References (33)

1. AERC (Agriculture Engineering Research Center). (2008). Analysis and evaluation of the groundwater quality survey in Taiwan areas (p. 487). Taiwan: Water Resources Agency, Ministry of Economic Affairs, Executive Yuan.
2. Castrignanò, A.; Goovaerts, P.; Lulli, L.; & Bragato, G. (2000). A geostatistical approach to estimate probability of occurrence of Tuber melanosporum in relation to some soil properties. Geoderma, 98, 95-113.
3. Chilès, J. P.; & Delfiner, P. (1999). Geostatistics: modeling spatial uncertainty (pp. 283-287). New York: Wiley.
4. Chu, H. J.; Lin, Y. P.; Jang, C. S.; & Chang, T. K. (2010). Delineating the hazard zone of multiple soil pollutants by multivariate indicator kriging and conditioned Latin hypercube sampling. Geoderma, 158(3-4), 242-251.
5. Deutsch, C. V. (2002). Geostatistical reservoir modeling (pp. 124-152). New York: Oxford University Press.
6. Deutsch, C. V.; & Journel, A. G. (1998). GSLIB: Geostatistical Software Library and User's Guide (2nd ed.). New York: Oxford University Press.
7. Diodato, N.; & Ceccarelli, M. (2004). Multivariate indicator kriging approach using a GIS to classify soil degradation for Mediterranean agricultural lands. Ecological Indicators, 4(3), 177-187.
8. Eaton, F. M. (1950). Significance of carbonates in irrigation water. Soil Science, 69, 123-133.
9. Goovaerts, P. (1997). Geostatistics for natural resources evaluation (pp. 259-368). New York: Oxford University Press.
10. Goovaerts, P.; AvRuskin, G.; Meliker, J.; Slotnick, M.; Jacquez, G.; & Nriagu, J. (2005). Geostatistical modeling of the spatial variability of arsenic in groundwater of southeast Michigan. Water Resources Research, 41. doi: 10.1029/2004WR003705.
11. Halvorson, J. J.; Smith, J. L.; & Papendick, R. I. (1996). Integration of multiple soil parameters to evaluate soil quality: a field example. Biology and Fertility of Soils, 21(3), 207-214.
12. Jang, C. S.; & Chen, J. S. (2009). Probabilistic assessment of groundwater mixing with surface water for agricultural utilization. Journal of Hydrology, 376(1-2), 188-199.
13. Jang, C. S.; Liu, C. W.; Lu, K. L.; & Lin, C. C. (2007). Delimitation of arsenic-contaminated groundwater using risk-based indicator approaches around blackfoot disease hyperendemic areas of southern Taiwan. Environmental Monitoring and Assessment, 134, 293-304.
14. Jang, C. S.; Chen, S. K.; & Lin, C. C. (2008). Using multiple-variable indicator kriging to assess groundwater quality for irrigation in the aquifers of the Choushui River alluvial fan. Hydrological Processes, 22(22), 4477-4489.
15. Jang, C. S.; Liou, Y. T.; & Liang, C. P. (2010). Probabilistically determining roles of groundwater used in aquacultural fishponds. Journal of Hydrology, 388, 491-500.
16. Juang, K. W.; & Lee, D. Y. (1998). Simple indicator kriging for estimating the probability of incorrectly delineating hazardous areas in a contaminated site. Environmental Science & Technology, 32, 2487-2493.
17. Juang, K. W.; & Lee, D. Y. (2000). Comparison of three nonparametric kriging methods for delineating heavy-metal contaminated soils. Journal of Environmental Quality, 29, 197-205.
18. Juang, K. W.; Chen, Y. S.; & Lee, D. Y. (2004). Using sequential indicator simulation to assess the uncertainty of delineating heavy-metal contaminated soils. Environmental Pollution, 127, 229-238.
19. Lee, J. J.; Liu, C. W.; Jang, C. S.; & Liang, C. P. (2008). Zonal management of multi-purpose use of water from arsenic-affected aquifers by using a multi-variable indicator kriging approach. Journal of Hydrology, 359(3-4), 260-273.
20. Lin, Y. P.; Cheng, B. Y.; Shyu, G. S.; & Chang, T. K. (2010). 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, 158(1), 235-244.
21. Liu, C. W.; Jang, C. S.; & Liao, C. M. (2004). Evaluation of arsenic contamination potential using indicator kriging in the Yun-Lin aquifer (Taiwan). Science of the Total Environment, 321, 173-188.
22. Liu, C. W.; Wang, S. W.; Jang, C. S.; & Lin, K. H. (2006). Occurrence of arsenic in groundwater of the Choshui river alluvial fan, Taiwan. Journal of Environmental Quality, 35, 68-75.
23. Oyedele, D. J.; Amusan, A. A.; & Obi, A. O. (1996). The use of multiple-variable indicator kriging technique for assessment of the suitability of an acid soil for maize. Tropical Agriculture, 73(4), 259-263.
24. Saisana, M.; Dubois, G.; Chaloulakou, A.; & Spyrellis, N. (2004). Classification criteria and probability risk maps: limitations and perspectives. Environmental Science & Technology, 38, 1275-1281.
25. Sawyer, C. N.; & McCarty, P. L. (1978). Chemistry for Environmental Engineering (3rd ed.; pp. 371-373). New York: McGraw-Hill.
26. Smith, J.L.; & Halvorson, J.J. (2011). Field scale studies on the spatial variability of soil quality indicators in Washington State, USA. Applied and Environmental Soil Science, 2011, Article ID 198737. doi: 10.1155/2011/198737.
27. Smith, J. L.; Halvorson, J. J.; & Papendick, R. I. (1993). Using multiple-variable indicator kriging for evaluating soil quality. Soil Science Society of America Journal, 57, 743-749.
28. Taiwan CGS (Central Geological Survey). (2002). Hydrogeological survey report of Pingtung Plain, Taiwan (pp. 97-142). Taiwan: Central Geological Survey, Ministry of Economic Affairs, Executive Yuan.
29. Taiwan Sugar Company. (2005). Groundwater quality monitoring and analysis for Taiwan Groundwater Monitoring Network (2/2) (pp. 10-1-10-74). Taiwan: Water Resources Agency, Ministry of Economic Affairs, Executive Yuan.
30. Ting, C. S.; Zhou, Y.; de Vries, J. J.; & Simmers, I. (1998). Development of a preliminary ground water flow model for water resources management in the Pingtung plain, Taiwan. Ground Water, 35(6), 20-36.
31. USSL (1954). Diagnosis and improvement of saline and alkali soils. USDA Hand Book, 60, (pp. 147). Washington DC.
32. Van Meirvenne, M.; & Goovaerts, P. (2001). Evaluating the probability of exceeding a site-specific soil cadmium contamination threshold. Geoderma, 102, 75-100.
33. Wang, S. W.; Liu, C. W.; & Jang, C. S. (2007). Factors responsible for high arsenic concentrations in two groundwater catchments at Taiwan. Applied Geochemistry, 22, 460-476.