International Journal of Engineering Research

Sumit Sharma ¹, D. G. Regulwar ¹

Affiliations
1 Government College of Engineering, Aurangabad, IN

Abstract

This study describes the conceptual framework and implementation to estimate the evapotranspiration by using computation technique artificial neural network. The objective of this study is to test an artificial neural network (ANN) to estimate reference evapotranspiration (ETo). Evapotranspiration is one of the main components of the hydrologic cycle. This complex process is dependent on climatic factors. There are many conventional methods to estimate evapotranspiration. Among them three methods that is Modified Penman Method, Thornthwaite method and Blaney-Criddle method equation perform the accurate results of estimating reference evapotranspiration (ETo) among the existing methods. However, the equation requires climatic data that are not always easily available. Artificial neural networks are one of the recent technique and studies for modeling complex systems and nonlinear features have shown very high ability. The major objective of this study is to estimate evapotranspiration using an artificial neural network (ANN) technique and to examine if a trained neural network with limited input variables can estimate evapotranspiration (ETo) efficiently.

Keywords

Evapotranspiration, ANN, Modified Penman Method, Thornthwaite Method, Blaney-Criddle Method.

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Rahul Agrawal ¹, D. G. Regulwar ¹

Affiliations
1 Government College of Engineering, Aurangabad (M.S.), IN

Abstract

The present study focus on calculation of surface water elevations on downstream side of upper catchment of Dudhana River for different amount of discharges, and also includes determination of flooding area at different amount of the discharge from dam. Hence, stimulate the critical situation of flood and its impact on Dhudhana River basin on downstream side. USACE Hydrologic Engineering Center's River Analysis System (HEC-RAS 4.1.0) model of given study area was prepared. Study reach consists of 21 cross sections. Hydraulics model, HEC-RAS is employed to evaluate flood conveyance performance and also uniform flow computation is carried out. In the present study, existing storm drains are not only marked but based on the HEC-RAS water surface elevation computation for various flood discharges, need of flood gates on the storm drains are also assessed. The recommendations are done based on this study either to increase height of bank or construct a retaining wall at certain sections along the study reach.

Keywords

Dhudhana River, Flood Analysis, HEC-RAS, Uniform Flow.

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