remote sensing Article Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China Sisi Li 1, Mingliang Liu 2 , Jennifer C. Adam 2,*,† , Huawei Pi 1,†, Fengge Su 3, Dongyue Li 4 , Zhaofei Liu 5 and Zhijun Yao 5 1 Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China;
[email protected] (S.L.);
[email protected] (H.P.) 2 Department of Civil and Environmental Engineering, Washington State University, Pullman, WA 99164, USA;
[email protected] 3 Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;
[email protected] 4 Department of Geography, University of California, Los Angeles, CA 90095, USA;
[email protected] 5 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; zfl
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[email protected] (Z.Y.) * Correspondence:
[email protected] † These authors contributed equally to this work. Abstract: Snowmelt water is essential to the water resources management over the Three-River Headwater Region (TRHR), where hydrological processes are influenced by snowmelt runoff and sensitive to climate change. The objectives of this study were to analyse the contribution of snowmelt water to the total streamflow (fQ,snow) in the TRHR by applying a snowmelt tracking algorithm and Variable Infiltration Capacity (VIC) model. The ratio of snowfall to precipitation, and the variation of Citation: Li, S.; Liu, M.; Adam, J.C.; the April 1 snow water equivalent (SWE) associated with fQ,snow, were identified to analyse the role Pi, H.; Su, F.; Li, D.; Liu, Z.; Yao, Z.