Prediction of temperature precipitation using multiple lineare regression and artificial neural network as a downscaling methodology for upper bhima (Ujjani) Basin
By: Rajmane, Dattatray Kisan
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Contributor(s): Waikar, Milind Laxman.
Publisher: Mumbai Indian Water Works Association 2021Edition: Vol.53(3), Jul-Sep.Description: 215-221p.Subject(s): Civil Engineering
In:
Journal of Indian Water Works AssociationSummary: Recent years has seen the rapid development towards climate prediction analysis and it is essential to predict temperature and precipitation to determine the effect of climate change on water resources. In this study, multiple linear regression (MLR) and artificial neural network (ANN) techniques are used for downscaling and projection of temperature and precipitation for upper bhima basin in semi-arid region in India. The national centre for environment prediction (NCEP) reanalysis data of the study area from 1969-2015....
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology (PG) Archieval Section | Not for loan | 2022-1214 |
Total holds: 0
Recent years has seen the rapid development towards climate prediction analysis and it is essential to predict temperature and precipitation to determine the effect of climate change on water resources. In this study, multiple linear regression (MLR) and artificial neural network (ANN) techniques are used for downscaling and projection of temperature and precipitation for upper bhima basin in semi-arid region in India. The national centre for environment prediction (NCEP) reanalysis data of the study area from 1969-2015....
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