Quantifying the impacts of climate change and vegetation change on decreased runoff in china's yellow river basin

被引:16
|
作者
Wang, D. L. [1 ,2 ,3 ]
Feng, H. M. [4 ]
Zhang, B. Z. [2 ]
Wei, Z. [2 ]
Tian, Y. L. [5 ]
机构
[1] Taiyuan Inst Technol, 38 Xinlan Rd, Taiyuan 030008, Peoples R China
[2] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, 20 Chegongzhuang West Rd, Beijing 100038, Peoples R China
[3] Ningxia Res Inst Water Resources, 157 Beijing West Rd, Yinchuan 750021, Ningxia, Peoples R China
[4] Shanxi Agr Univ, Coll Urban & Rural Construct, 1 Daxue Rd, Taigu 030801, Peoples R China
[5] Chinese Acad Geol Sci, Inst Hydrogeol & Environm Geol, 258 Zhonghua North St, Shijiazhuang 050800, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Vegetation change; Climate change; Runoff change; Yellow River Basin; WATER YIELD; EVAPOTRANSPIRATION; EVAPORATION; STREAMFLOW; AFFORESTATION; VARIABILITY; FRACTION; MODEL;
D O I
10.1016/j.ecohyd.2021.10.002
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In arid-semiarid regions, understanding the mechanisms by which vegetation change and climate change affect the regional water balance is important for the development of effective measures and for guiding vegetation restoration and adapting to climate change. In this study, we utilize the Budyko equation and dual-source evapotranspiration models to assess the impacts of vegetation change and climate change on the runoff in China's Yellow River Basin (YRB). The aims of the study are as follows: (1) Apply a well-formulated Budyko framework-dual-source evapotranspiration model to explore the eco-hydrological controls of the regional water balance. (2) Precisely assess the contribution of vegetation change, precipitation change, temperature change, wind speed change, the relative humidity change, and radiation change to the decreased runoff. The results indicated that vegetation change was the dominant factor affecting the reduction of runoff in the upper reaches above Lanzhou, Toudaoguai, Longmen, Sanmenxia, and Huayuankou, and the contributions were -80.4%, -58.4%, -52.5%, -46.9%, -39.7%, and -41.6% respectively. In Lanzhou, Taodaoguai, Longmen, and Sanmenxia, the precipitation change was the second affecting factor, and the contributions were -20.8%, -31.6%, -30.0%, and -35.2%, respectively. In Huayuankou and Lijin, the relative humidity change was the second affecting factor, and the contributions were -26.8% and -35.0%, respectively. (3) As the vegetation coverage or the leaf area index (LAI) increased, the runoff decreased linearly. (C) 2021 European Regional Centre for Ecohydrology of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:310 / 322
页数:13
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