WATERSHED MODELING USING ARTIFICIAL NEURAL NETWORKS
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.6, No. 4)Publication Date: 2015-04-27
Authors : Dr SAMAN H. AL-HAMAWANDI Dr ABDUL-ILAH Y. MOHAMMED; Dr RAFA H.AL-SUHAILI;
Page : 39-45
Keywords : Iaeme Publication; IAEME; Civil; Engineering; IJCIET; Rainfall; Raunoff; Watershed; Time Interval; Lag Time; Hydograph.;
Abstract
Artificial Neural Networks analysis was used for modeling rainfall-runoff relationship. A new Instantaneous ANN watershed model was built and tried herein using Walnut Gulch watershed (catchment) area. For modeling the instantaneous response of a catchment to a rainfall event an ANN model was built shown herein. The built model can represent the actual response using descritized rainfall-runoff values, over a selected time interval ( ? t). As this time interval decreases the actual response is more accurately modeled. This model was applied to one of the sub-catchment of Walnut Gulch watershed (sub-catchment No.9 (flume 11)). Th e model was found successful to represent the lag-time and time of runoff related to the hyetograph properties.
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Last modified: 2016-05-26 21:49:35