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摘要
This study presents a method to accurately model soil salinity using statistical tools. The method integrates field data, geographic information systems, remote sensing, and spatial modeling. Kriging analysis for topsoil salinity distribution in the study area indicates that soil salinity has a strong degree of autocorrelation (C-0/(C-0+C)=15.93) and low variability (CV=5.5%). The coefficient of determination (R-2) for the predicted soil salinity is 0.867. The predicted salinity of the topsoil is higher than that in the deep soil, although both salinity distributions show a similar trend. This study provides timely understanding of soil reclamation efforts and local water management practice.
- 出版日期2013-5-1
- 单位西安理工大学
