A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Models</td><td class="align_center" colspan="3">Calibrated parameters</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Horton</td><td class="align_center"><i>Fc</i> (cm/min) = 0.080</td><td class="align_center"><i>f</i>0 (cm/min) = 0.535</td><td class="align_center"><i>k</i> = 0.046</td></tr><tr><td class="align_left">Modified Kostiakov</td><td class="align_center"><i>a</i> = 1.699</td><td class="align_center"><i>b</i> = 0.464</td><td class="align_center"><i>fi</i> = 0.081</td></tr><tr><td class="align_left">Philip</td><td class="align_center"><i>s</i> (cm/min0.5) = 1.585</td><td class="align_center"><i>K</i> (cm/min) = 0.061</td><td class="align_center">—</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Parameters obtained for the conventional infiltration models.</div>

Complexity

tab2

Table 2

Table 2: A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates 