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<CreaDate>20160822</CreaDate>
<CreaTime>11281000</CreaTime>
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<idAbs>A wetness index is based on the idea that a terrain profile controls the distribution of water and areas subject to water accumulation. This index was first developed by Beven and Kirkby within their physically based runoff model, TOPMODEL, which is based on the assumption that the hydraulic slope will be equal to the topographic slope, and simulates groundwater and surface-water interactions with topography to identify which areas are susceptible to saturated land surfaces and thus have a high potential to produce surface ponding. </idAbs>
<searchKeys>
<keyword>TWI</keyword>
</searchKeys>
<idPurp>Topographic Wetness Index displaying areas susceptible to saturated land surfaces and has the potential be affected by surface ponding.</idPurp>
<idCredit/>
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<idCitation>
<resTitle>Topographic Wetmess Index</resTitle>
</idCitation>
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</Data>
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