000 a
999 _c17217
_d17217
003 OSt
005 20220728160918.0
008 220728b xxu||||| |||| 00| 0 eng d
040 _aAIKTC-KRRC
_cAIKTC-KRRC
100 _917378
_aRajmane, Dattatray Kisan
245 _aPrediction of temperature precipitation using multiple lineare regression and artificial neural network as a downscaling methodology for upper bhima (Ujjani) Basin
250 _aVol.53(3), Jul-Sep
260 _aMumbai
_bIndian Water Works Association
_c2021
300 _a215-221p.
520 _aRecent 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....
650 0 _94621
_aCivil Engineering
700 _917379
_aWaikar, Milind Laxman
773 0 _tJournal of Indian Water Works Association
_dMumbai Indian Water Works Association
_x0970-275X
942 _2ddc
_cAR