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Hydrological Modelling using Process based and Data Driven Models

Name: Hydrological Modelling using Process based and Data Driven Models
Brand: Scholars' Press
SKU: 12626989
Price: 61.39 EUR
Availability: InStock
Author: Ajai Singh
ISBN: 9783639511079

Process-based and Neural Network Modelling in Hydrology

Ajai Singh

Mohd. Imtiyaz

Language

English

Book Paperback

Libristo code: 12626989

Publishers Scholars' Press, January 2013

Point source pollution is relatively easily controllable and identifiable. Pollutants detected in a... Full description

Libristo code: 12626989

150 b

61.39 € VAT included

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Point source pollution is relatively easily controllable and identifiable. Pollutants detected in a concentrated water source such as stream, river or lake are called non-point source pollution. Sedimentation and deteriorating water quality due to non-point source pollution are nowadays a very serious problem in reservoirs, lakes and rivers and is caused by high discharges of nutrients and sediment from upstream river basins. Minimization of the discharges and improvement of the agricultural practices are the obvious solution of the problem. The application of various hydrological models helps the planners and water resource managers to plan appropriately to implement effective measures. In the present study, process-based Soil and Water Assessment Tool (SWAT) and artificial neural network models such as Multi-Layer Perceptron (MLP) and Radial Basis Neural Network (RBNN) have been applied to simulate hydrological processes such as stream flow and sediment yield on monthly time steps in agricultural watershed in Eastern India. The model outputs are compared in terms of well laid out statistical criterion.