With global warming, the inland river basin in the arid region of Northwest China is facing a serious water supply situation. The headwater basin of the inland river is located in the high-altitude mountainous region, and there are few meteorological observation sites, so it is difficult to apply distributed hydrological models and other models based on the physical mechanism of runoff generation to evaluate climate change and its impact on streamflow. To simulate the climate-driven streamflow in data-scarce mountain basins of Northwest China, we developed an integrated approach by using downscaled reanalysis data, Mann-Kendall test, ensemble empirical mode decomposition and backpropagation artificial neural networks together with the weights connection method. We validated the approach in the Kaidu River basin located in the Tianshan mountains. The results showed that the streamflow increased 12.9% by 2.5x108 mml:mspace m3 per decade with the warm and wet climate, while the average annual temperature increased 5.2% at a rate of 0.3 degrees C per decade and the precipitation increased 37.3% at a rate of 16.4 mm per decade during the period from 1980 to 2015. The impact of temperature variability on streamflow was 44.21 +/- 2.08% and the impact of precipitation variability on streamflow was 55.79 +/- 2.08%.
1.Shanghai Univ Engn Sci, Sch Social Sci, Shanghai 201620, Peoples R China 2.East China Normal Univ, Sch Geog Sci, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China 3.East China Normal Univ, Res Ctr East West Cooperat China, Shanghai 200241, Peoples R China 4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
Recommended Citation:
Wang, Chong,Xu, Jianhua,Chen, Yaning,et al. An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China[J]. JOURNAL OF EARTH SYSTEM SCIENCE,2019-01-01,128(4)