STUDY ON THE EFFECTS OF CLIMATE CHANGE ON BASIN-SCALE RIVER TEMPERATURE USING DEEP LEARNING

Abstract

 There have been growing concerns about the effects of climate changes on water quality and river ecosystems due to increased river temperature. It is necessary to predict river temperature at multiple points in a river basin from future air temperature. In this study, we developed river temperature prediction model based on air temperature using deep learning, and predicted river temperature using future air temperature from +4K warming experiment of d4PDF. The results showed the accuracy of water temperature was high at multiple points on the current climate. The prediction of future river temperature showed that the future change in river temperature in summer was smaller compared to other seasons, but the river temperature at the multiple points in the basin increased by 6℃. The results suggest that the changes of daily mean river temperature may lead to the habitat changes of fishes and the overgrowth of invasive aquatic plants.