Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China
文献类型：期刊论文
| 作者 | Li, Huijuan1,2; Shi, Changxing1; Zhang, Yusheng4; Ning, Tingting5; Sun, Pengcheng3; Liu, Xiaofei1,2; Ma, Xiaoqing1,2; Liu, Wei1,2; Collins, Adrian L.4 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2020-02-10 |
| 卷号 | 703页码:11 |
| 关键词 | Runoff change LUCC Climate change Vegetation variation Attribution analysis |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2019.135588 |
| 通讯作者 | Shi, Changxing(shicx@igsnrr.ac.cn) |
| 英文摘要 | Understanding catchment hydrological response to intensive land use/cover change (LUCC) and climate change provides a basis for taking effective measures for the future. Runoff is a critical indicator of catchment hydrological processes that reflects the combined effects of climate changes and local human activities. In this study, three main tributary sub-catchments underlain by soft sandstone in the Yellow River basin, China, were chosen to attribute runoff variations to climatic change and human activities through improving the Budyko elasticity model. The results suggested that: (1) annual runoff exhibited a significant decreasing trend during the past 30 years (1981-2016, p < 0.01),with an average decline rate of 1.07 mm a(-1); (2) the precipitation elasticity of runoff (epsilon(P)) and that of potential evapotranspiration (epsilon(Eo)) varied from 2.42 to 2.96 and from -1.96 to -1.42, respectively, indicating that runoff is more sensitive to changes in P than those in Eo in the context of climate change; (3) the attribution analysis demonstrated that, on average, vegetation change (mainly anthropogenic vegetation coverage increase) accounted for 92% of the decline in runoff whereas climate change (including precipitation and potential evapotranspiration variations and consequent vegetation change) accounted for the rest 8%. (C) 2019 Elsevier B.V. All rights reserved. |
| WOS关键词 | LOESS PLATEAU ; WATER-BALANCE ; STREAMFLOW ; IMPACT ; VARIABILITY ; CATCHMENTS |
| 资助项目 | National Natural Science Foundation of China[41671004] ; National Natural Science Foundation of China[41971008] ; UK Biotechnology and Biological Sciences Research Council (BBSRC) ; BBSRC[BBS/E/C/000I0330] ; China Scholarship Council |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000505924300209 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; UK Biotechnology and Biological Sciences Research Council (BBSRC) ; BBSRC ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131562]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shi, Changxing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Dept Geomorphol, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Shaanxi, Peoples R China 4.Rothamsted Res, Sustainable Agr Sci Dept, North Wyke EX20 2SB, Okehampton, England 5.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Huijuan,Shi, Changxing,Zhang, Yusheng,et al. Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,703:11. |
| APA | Li, Huijuan.,Shi, Changxing.,Zhang, Yusheng.,Ning, Tingting.,Sun, Pengcheng.,...&Collins, Adrian L..(2020).Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China.SCIENCE OF THE TOTAL ENVIRONMENT,703,11. |
| MLA | Li, Huijuan,et al."Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China".SCIENCE OF THE TOTAL ENVIRONMENT 703(2020):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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