Spring Snowmelt Flood Estimate in the Upper Heihe River under Climate Change Scenarios
- Beijing Normal University, Faculty of Geographical Science, The State Key Laboratory of Earth Surface Processes and Resource Ecology, China (zhuguangxi@mail.bnu.edu.cn)
With the climate warming, high mountainous areas, including cryosphere, show more frequent and early outbreaks trend in flood hazard, cursing more losses to downstream areas. Based on meteorological, hydrological and MODIS snow cover data, using the snowmelt runoff model (SRM) to simulate and verify the spring runoff result during the snowmelt period from 1990 to 2012 in the upper Heihe River. SRM model simulates results shows it has a high accuracy (NSE = 0.7229), which can be used to predict the future flood intensity changes in studying area. In order to predict the trends of Heihe River Basin in flood return periods under the different future climate change scenarios, analyze used the temperature and precipitation forecast data. By the end of this century, the result of flood runoff shows differently according to climate change scenarios compared with the basic period. In RCP 2.6, due to the small changes of the temperature and precipitation, flood intensity will change slightly around 10% in all return periods; in RCP 4.5, it will increase about 20%; in RCP 8.5, return periods may be rise over 30%.
How to cite: Zhu, G.: Spring Snowmelt Flood Estimate in the Upper Heihe River under Climate Change Scenarios, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4604, https://doi.org/10.5194/egusphere-egu2020-4604, 2020
This abstract will not be presented.