STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

Establishment of rating curves are often required by the hydrologists for flow estimates inthe streams, rivers etc. measurement of discharge in a river is a time-consuming, expensive, anddifficult process, and the conventional approach of regression analysis of stage-discharge relationdoes not provide encouraging results especially during the floods. present study is aimed at theapplication of support vector machines (svms) based algorithm for modelling stage-dischargerelation including the hysteresis effect. a data set of two discharge-measuring stations located on twoindian rivers has been used for analysis in the present study. a back propagation neural networkmodel was employed in order to compare the performance of the results based on support vectormachines based modelling technique. the outcome of the study suggests that the support vectormachines works well for both the data sets and produce promising results in comparison to the neuralnetwork technique. finally, the results also suggest the suitability of svms algorithm in predictingthe looped rating curve having hysteresis effect.