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WATERSHED MODELING USING ARTIFICIAL NEURAL NETWORKS

Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.6, No. 4)

Publication Date:

Authors : ; ;

Page : 39-45

Keywords : Iaeme Publication; IAEME; Civil; Engineering; IJCIET; Rainfall; Raunoff; Watershed; Time Interval; Lag Time; Hydograph.;

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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.

Last modified: 2016-05-26 21:49:35