Modeling Climate Change Impacts on Water Resources

Abstract

Abstract In this study, the effect of changes in daily temperature (minimum temperature and maximum temperature) during the baseline period on daily streanflow has been analyzed. The stepwise cluster analysis method is able to use a generated cluster tree to express the complex and nonlinear relationships between predictors and predictands. The results can be found that different characteristics of air temperature and precipitation exist during different seasons. Besides, the change of water resources can be indicated and is affected both by changes of climate factors and economic consequences. The most significant findings are that the simulated streamflow under various downscaling climate projections shows an increasing trend from future to recent periods.