The continuously rising of surface temperature is having a huge impact
on the hydrological system and thus on the water resources, this leads
to the reassessment of the water resources potential resulting from
climate change impact. The important parameters that are ruling the
climate are temperature, runoff and precipitation. Thus there is a need
for modern and updated analysis that can sort out the impact of climate
change on various aspect of water resources. The study focuses on
determining climate change impact on hydrological processes in the Beas
River Basin through statistical analysis for historical and future
climate change and various models including General Circulation models
(GCM) for simulating the response of climate variables, statistical
downscaling technique for modelling the hydrological variables and model
for assessment of climate change impact. Statistical analysis has been
done using Mann-Kendall test and Sen’s Slope estimator and downscaled
models has been used to predict future prediction from 2018-2099.
Artificial neural network (ANN) and multiple linear regression have been
also used in this study to predict modelled data.
Keywords : Temperature; Regimes; Reassessment; Models;
Statistical Analysis; GCM; Downscaling