Suitability 0f Universal Function Approximators in Re-Designing Rain Gauge Network for a River Basin

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Sivapragasam, C, Muttil, Nitin, Arun, V. M and Sudha, S. Jeya (2012) Suitability 0f Universal Function Approximators in Re-Designing Rain Gauge Network for a River Basin. International Journal of Earth Sciences and Engineering, 5 (2). pp. 255-267. ISSN 0974-5904

Abstract

Existence of appropriate rain gauge network in a basin is very vital for any water resources planning. In many basins, the rain gauge stations are located without clear scientific understanding. In this study, an attempt is made to re-design rain gauge network for Tamarabarani basin in Peninsular India with the help of available rainfall information from the existing stations. First, rainfall in assumed potential locations within the basin is estimated by ordinary kriging and Genetic Programming (GP) based kriging, besides general regression models. This information is used to locate finally the required number of stations and their locations. The results show that GP based models are quite superior to standard variogram models used in kriging. It is also seen that the accuracy of rainfall estimation does affect the determination of optimal location of rain gauge stations.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/23221
Official URL http://cafetinnova.org/wp-content/uploads/2013/05/...
Subjects Current > FOR Classification > 0905 Civil Engineering
Current > Division/Research > College of Science and Engineering
Keywords ResPubID25749, artificial neural network, genetic programming, kriging, rainfall estimation, rain gauge network design
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