Multivariate simulation and assessment of three dimensional spatial patterns of coastal soil salinity using ancillary variables

Fresenius Environmental Bulletin

Volumn 22, Issue 1, 2013, Pages 39-52

  Yao, Rongjiang ^a   Yang, Jingsong ^a   Gao, Peng ^b   Shao, Hongbo ^c   Chen, Xiaobing ^c   Yu, Shipeng ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF SOUTH CAROLINA   (United States)

^c YANTAI INSTITUTE OF COASTAL ZONE RESEARCH   (China)

Author keywords

Coastal zone; Electromagnetic induction; Multivariate; Soil salinity; Uncertainty assessment

Indexed keywords

ALGORITHM; COASTAL ZONE; DATA ACQUISITION; ESTIMATION METHOD; GAUSSIAN METHOD; MULTIVARIATE ANALYSIS; PROBABILITY; SALINITY; SIMULATION; SOIL ANALYSIS; SPATIAL ANALYSIS; THREE-DIMENSIONAL MODELING; UNCERTAINTY ANALYSIS;

EID: 84875748554     PISSN: 10184619     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (52)

1. Guan, Y. X., Liu, G. H. and Wang, J. F. (2001) Saline-alkali land in the Yellow River Delta: amelioration zonation based on GIS. J Geogr Sci 11:313-320
2. Katerji, N., van Hoorn, J. W., Hamdy, A. and Mastrorilli, M. (2003) Salinity effect on crop development and yield, analysis of salt tolerance according to several classification methods. Agri Water Manag 62:37-66
3. Crescimanno, G., Iovino, M. and Provenzano, G. (1995) Influence of salinity and sodicity on soil structural and hydraulic characteristics. Soil Sci Soc Am J 59:1701-1708
4. Li, X. G., Cao, J. and Li, F. M. (2004) Influence of salinity, sodicity and organic matter on some physical properties of salt-affected soil. Chin J Sci 35(1):64-72
5. Sudduth, K. A., Drummond, S. T. and Kitchen, N. R. (2001) Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture. Comp Electron Agri 31:239-264
6. Triantafilis, J., Laslett, G. M. and Mcbratney, A. B. (2000) Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton. Soil Sci. Soc. Am. J 64:1009-1017
7. McBratney, A. B., Bishop, T. F. A. and Teliatnikov, I. S. (2000) Two soil profile reconstruction techniques. Geoderma 97, 209-221.
8. Sudduth, K. A., Kitchen, N. R., Bollero, G. A., Bullock, D. G. and Wiebold, W. J. (2003) Comparison of electromagnetic induction and direct sensing of soil electrical conductivity. Agron J 95:472-482
9. Corwin, D. L. and Lesch, S. M. (2003) Application of soil electrical conductivity to precision agriculture theory, principles, and guidelines. Agron J 95:455-471
10. Corwin, D. L. and Lesch, S. M. (2005) Apparent soil electrical conductivity measurements in agriculture. Comp Electron Agri 46:11-43
11. Yao, R. J., Yang, J. S. and Liu, G. M. (2007) Calibration of soil electromagnetic conductivity in inverted salinity profiles with an integration method. Pedosphere 17:246-256
12. Tekin, A. B., Günal, H., Smdir, K. and Balci, Y. (2011) Spatial structure of available micronutrient contents and their relationships with other soil characteristics and corn yield. Fresenius Environ Bull. 20:783-792
13. Deutsch, C. V. and Joumel, A. (1998) GSLIB: Geostatistical Software Library and User's Guide. Oxford Univ. Press, Oxford, UK.
14. Lapen, D. R., Topp, G. C., Hayhoe, H. N., Gregorich, E. G. and Cumoe, W. E. (2001) Stochastic simulation of soil strength/compaction and assessment of com yield risk using threshold probability patterns. Geoderma 104:325-343
15. Castrignanò, A. and Buttafuoco, G. (2004) Geostatistical stochastic simulation of soil water content in a forested area of South Italy. Biosystems Engineering 87:257-266
16. Delbari, M, Loiskandl, W. and Afrasiab, P. (2010) Uncertainty assessment of soil organic carbon content spatial distribution using geostatistical stochastic simulation. Soil Res 48(1):27-35
17. 137Cs-derived net (1950s-1990) soil redistribution for Australia. J Geophy Res l 16:4015-4036
18. Bourennane, H., Kinga, D., Couturier, D. A., Nicoullaud, B., Mary, B. and Richard, G. (2007) Uncertainty assessment of soil water content spatial patterns using geostatistical simulations: An empirical comparison of a simulation accounting for single attribute and a simulation accounting for secondary information. Ecol Modelling 205:323-335
19. Herbst, M., Prolingheuer, N., Graf, A., Huisman, J. A., Weihermiiller, L., Vanderborght, J. and Vereecken, H. (2010) Multivariate conditional stochastic simulation of soil heterotrophic respiration at plot scale. Geoderma 160:74-82
20. Triantafilis, J., Odeh, I. O. A. and McBratney, A. B. (2001) Five geostatistical models to predict soil salinity from electromagnetic induction data across irrigated cotton. Soil Sci. Soc. Am. J. 65:869-878
21. Corwin, D. L., Kaffka, S. R., Hopmans, J. W., Mori, Y., van Groenigen, J. W., van Kessel, C., Lesch, S. M. and Oster, J. D. (2003) Assessment and field-scale mapping of soil quality properties of a saline-sodic soil. Geoderma 114:231-259
22. Lesch, S. M., Corwin, D. L. and Robinson, D. A. (2005) Apparent soil electrical conductivity mapping as an agricultural management tool in arid zone soils. Comp Electron Agri 46:351-378
23. Corwin, D. L. and Lesch, S. M. (2005) Characterizing soil spatial variability with apparent soil electrical conductivity. I. Survey protocols. Comp Electron Agri 46:103-133
24. Harvey, O. R. and Morgan, C. L. (2009) Predicting regionalscale soil variability using a single calibrated apparent soil electrical conductivity model. Soil Sci Soc Am J 73:164-169
25. Zhu, Q., Lin, H. and Doolittle, J. (2010) Repeated electromagnetic induction surveys for improved soil mapping in an agricultural landscape. Soil Sci Soc Am J. 74:1763-1774
26. Yao, R. J. and Yang, J. S. (2010) Quantitative evaluation of soil salinity and its spatial distribution using electromagnetic induction method. Agri Water Manag 97:1961-1970
27. Corwin, D. L. and Rhoades, J. D. (1984) Measurement of inverted electrical conductivity profiles using electromagnetic induction. Soil Sci Soc Am J 48:288-291
28. nd Eds.), Soil Sampling and Methods of Analysis. Taylor & Francis Group, LLC, pp. 187-197
29. Lesch, S. M., Herrero, J. and Rhoades, J. D. (1998) Monitoring for temporal changes in soil salinity using electromagnetic induction techniques. Soil Sci Soc Am J 62:232-242
30. Hopkins, D. G. and Richardson, J. L. (1999) Detecting a salinity plume in an unconfined sandy aquifer and assessing secondary soil salinization using electromagnetic induction techniques, North Dakota, USA. Hydrogeol J 7:380-392
31. Sudduth, K. A., Kitchen, N. R., Wiebold, W. J., Batchelor, W. D., Bollero, G. A., Bullock, D. G., Clay, D. E., Palm, H. L., Pierce, F. J., Schuler, R. T. and Thelen, K. D. (2005) Relating apparent electrical conductivity to soil properties across the north-central USA. Comp Electron Agri 46:263-283
32. Herrero, J., Netthisinghe, A., Hudnall, W. H. and Pérez-Covet, O. (2011) Electromagnetic induction as a basis for soil salinity monitoring within a Mediterranean irrigation district. J Hydrol 405:427-438
33. Rahimian, M. H. and Hasheminejhad, Y. (2011) Calibration of electromagnetic induction device (EM38) for soil salinity assessment. Iran J Soil Res 24:243-252
34. Goovaerts, P. (1997) Geostatistics for Natural Resources Evaluation. Oxford Univ. Press, Oxford, UK.
35. Eastman, J. R. (2001) IDRISI32, Release 2, Guide to GIS and Image Processing 2, pp. 133-138.
36. Emery, X. and Peláez, M. (2011) Assessing the accuracy of sequential Gaussian simulation and cosimulation. Comp Geosci 15:673-689
37. Remy, N., Boucher, A. and Wu, J. B. (2008) Applied Geostatistics with SGeMS: A Users' Guide. Cambridge University Press.
38. Isaaks, E. H. and Srivastava, R. M. (1989) An Introduction to Applied Geostatistics. Oxford Univ. Press, New York, pp561
39. Cavalcante, E. G. S., Alves, M. C., Souza, Z. M. and Pereira, G. T. (2007) Variabilidade espacial de atributos quimicos do solo sob diferentes usos emanejos. R Bras Ci Solo 31:1329-1339
40. Wang, Z. Q., Zhu, S. Q. and Yu, R. P. (1993) Saline Soil in China. Science Press, Beijing.
41. Deutsch, C. V. (1997) Direct assessment of local accuracy and precision. In: Baafi, E. Y. and Schofield, N. A. (Eds.) Geostatistics Wollongong' 96. Kluwer Academic Publishing, Dordrecht, pp. 115-125
42. Delbari, M., Afrasiab, P. and Loiskandl, W. (2009) Using sequential Gaussian simulation to assess the field-scale spatial uncertainty of soil water content. CATENA 79:163-169
43. Cai, X. R., Huang, Y. F., Yuan, X. Y. and Gao, R. T. (2008) Random simulation of soil organic matter using elevation as auxiliary information. Trans CSAE 24(12):210-214
44. He, Y., Hu, K. L., Chen, D. L., Suter, H. C., Li, Y., Li, B. G., Yuan, X. Y. and Huang, Y. F. (2010) Three dimensional spatial distribution modeling of soil texture under agricultural systems using a sequence indicator simulation algorithm. Comp Electron Agri 71S: S24-S31
45. He, Y., Hu, K. L., Huang, Y. F., Li, B. G. and Chen, D. L. (2010) Analysis of the anisotropic spatial variability and three-dimensional computer simulation of agricultural soil bulk density in an alluvial plain of north China. Math Comp Modelling 51:1351-1356
46. Srivastava, M. R. (1996) An overview of stochastic spatial simulation. In: Mowrer, H. T., Czapleweski, R. L. and Hamre, R. H. (Eds.) Spatial Accuracy Assessment in Natural Resources and Environmental Sciences: Second International Symposium, General Technical Report RM-GTR-277. US Department of Agriculture, Forest Service, Fort Collins, pp. 13-22.
47. Lin, Y. P., Chu, H. J., Huang, Y. L., Chen, B. Y. and Chang, T. K. (2011) Modeling spatial uncertainty of heavy metal content in soil by conditional Latin hypercube sampling and geostatistical simulation. Environ Earth Sci 62:299-311
48. Gómez-Hemández, J. J. (1997) Issues on environmental risk assessment. In: Baafi, E. Y. and Schofield, N. A. (Eds.) Geostatistics Wollongong' 96. Kluwer Academic Publishing, Dordrecht, pp. 15-26.
49. Oberthur, T., Goovaerts, P. and Dobermann, A. (1999) Mapping soil texture classes using field texturing, particle size distribution and local knowledge by both conventional and geostatistical methods. Eur J Soil Sci 50:457-479
50. Deutsch, C. V. (2006). A sequential indicator simulation program for categorical variable with point and block data: BlockSIS. Comp Geosci 32:1669-1681
51. Goovaerts, P. (2000) Estimation or simulation of soil properties? An optimization problem with conflicting criteria. Geoderma 97:165-186
52. Shao H. B. (Editor) (2012), Metal Contamination: Sources, Detection and Environmental Impact. New York, USA: Nova Science Publishers