Abstract:
Climate change is expected to inflict severe consequences on the hydrological cycle and water resources of a catchment. With this backdrop, it is crucial to have better insight into functioning of current water resources systems along with future water resources planning and management due to the fact that amidst growing populations and ever-increasing resource use, competition among users and more recently, widespread ecosystem degradation have exacerbated the already grave situation in most of the basins. In aspects to determine these impacts, a semi-distributed monthly water balance model was proposed and developed to simulate and predict the hydrological processes including predicted future climatic scenarios.
This study focuses on analysing the long-term precipitation trends in the three distinct climatic zones in Mahaweli basin which extends over wet, dry and intermediate climatological zones and identifying long-term climate change impacts on streamflow variability. Monthly precipitation data for a span of 30 years from 1988-2018 has been used for trend analysis and 10-year monthly rainfall data set is used for calibration and validation of ABCD hydrological model to evaluate the climate change impacts on streamflow envisaging efficient future water resources management at three selected sub-watersheds in each zone of the basin. The changes in precipitation and temperature during the study period were correlated differently with observed changes in streamflow. The rainfall trends in the intermediate and dry zone parts of the basin were identified to be positive while the trend in the wet zone part was found to be decreasing, however, not statistically significant in both cases. The Pearson correlation value was 0.92.
The ABCD hydrologic model can be recommended to use for streamflow simulations and water resources investigations in monthly temporal resolution for the watersheds which are having similar characteristics with parameter values in the ranges of a (0.961-0.998), b (1066-1644), c (0.003-0.013) and d (0.741-0.813). The ABCD model has been evidenced to be a valuable tool not only for analysing the hydrologic characteristics of diverse watersheds but also for evaluating the hydrologic consequences of climate change in selected basins which may also be helpful in both pre-disaster risk management and post-disaster rehabilitation.
