Affiliation:
1. Department of Civil Engineering, Oriental University, Indore, MP India .
Abstract
The Stream-flow is key component of hydro power project regulation. The present study has been conducted to identify the impact of climate change on stream flow of Ranganadi River, a sub-set of Brahmaputra basin situated at north-East region of India, which receives more rainfall as compare to other parts of India The three GCM model viz.HadCM3, CGCM2 and GFDL monthly data with A2 scenario have been choose for Downscaling by advanced neural technique (Artificial Neural Network).The prediction result show as an positive increasing trend up to 2040 for Ranganadi River. This will create the flood problem but capacity of hydroelectricity generation will be increase.
Publisher
Enviro Research Publishers
Subject
General Environmental Science
Reference22 articles.
1. Chang, J. and Wang,Y. Impact of Climate Change and Human Activity on Runoff in Weich River basin China. Elsevier Vol. 380-381 (2015)
2. Kisi, O.[Stream flow Forecasting using different Artificial Neural Network algorithms . Journal of hydrologic Engineering (ASCE) 1084-0699(2007)12:5(532) (2007).
3. Zealand, C. M., Burn, D. H. and Simonovic, S. P. Short term Stream flow Forecasting using Artificial Neural Networks. Journal of Hydrology. 214, 32–48(1999).
4. CrossRef
5. Kumar, D. and Bhattacharya, R. K.,. Distributed Rainfall Runoff Modeling . International journal of Earth Science and Engineering. Volume 04, No 06 SPL, 270-275 (2011).
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