作者: Y. Mogheir , J. L. M. P. de Lima , V. P. Singh
DOI: 10.1002/HYP.1466
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摘要: This paper, the second in series, uses entropy theory to describe spatial variability of groundwater quality data sets. The application is illustrated using chloride observations obtained from a network monitoring wells Gaza Strip, Palestine. involves calculating information measures, such as transinformation, transfer index and correlation coefficient. These measures are calculated discrete approach, which contingency tables used. An exponential decay fitting approach was applied models. analysis shows that function distance, can be represented by curve. It also indicates that, for used this study, transinformation model superior characterizing variability. Copyright 2004 John Wiley & Sons, Ltd.