Time-scale dependent mechanism of atmospheric CO2 concentration drivers of watershed water-energy balance
文献类型：期刊论文
| 作者 | Zhao, Jing1; Huang, Shengzhi1; Huang, Qiang1; Pan, Baozhu1; Leng, Guoyong2; Wang, Hao3 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2021-02-01 |
| 卷号 | 754页码:13 |
| ISSN号 | 0048-9697 |
| 关键词 | Elevated CO2 concentration Watershed water-energy balance dynamics Multiple time scales Vegetation dynamics Temperature rise |
| DOI | 10.1016/j.scitotenv.2020.142132 |
| 通讯作者 | Huang, Shengzhi(huangshengzhi@xaut.edu.cn) |
| 英文摘要 | The elevated atmospheric carbon dioxide concentration (CO2), as a key variable linking human activities and climate change, seriously affects the watershed hydrological processes. However, whether and how atmospheric CO2 influences the watershed water-energy balance dynamics at multiple time scales have not been revealed. Based on long-term hydrometeorological data, the variation of non-stationary parameter n series in the Choudhury's equation in the mainstream of the Wei River Basin (WRB), the Jing River Basin (JRB) and Beiluo River Basin (BLRB), three typical Loess Plateau regions in China, was examined. Subsequently, the Empirical Mode Decomposition method was applied to explore the impact of CO2 on watershed water-energy balance dynamics at multiple time scales. Results indicate that (1) in the context of warming and drying condition, annual n series in the WRB displays a significantly increasing trend, while that in the JRB and BLRB presents non significantly decreasing trends; (2) the non-stationary n series was divided into 3-, 7-, 18-, exceeding 18-year time scale oscillations and a trend residual. In the WRB and BLRB, the overall variation of n was dominated by the residual, whereas in the JRB it was dominated by the 7-year time scale oscillation; (3) the relationship between CO2 concentration and n series was significant in the WRB except for 3-year time scale. In the JRB, CO2 concentration and n series were significantly correlated on the 7- and exceeding 7-year time scales, while in the BLRB, such a significant relationship existed only on the 18- and exceeding 18-year time scales. (4) CO2-driven temperature rise and vegetation greening elevated the aridity index and evaporation ratio, thus impacting watershed water-energy balance dynamics. This study provided a deeper explanation for the possible impact of CO2 concentration on the watershed hydrological processes. (C) 2020 Elsevier B.V. All rights reserved. |
| WOS关键词 | CLIMATE-CHANGE ; VEGETATION DYNAMICS ; LOESS PLATEAU ; ELEVATED CO2 ; WEIHE RIVER ; RUNOFF ; IMPACT ; EVAPOTRANSPIRATION ; DECOMPOSITION ; SEASONALITY |
| 资助项目 | National Natural Science Foundation of China[51709221] ; China Postdoctoral Science Foundation[2018M640155] ; National Key Research and Development Program of China[2017YFC0405900] ; Key laboratory research projects of the education department of Shaanxi province[17JS104] ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000593899600015 |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; National Key Research and Development Program of China ; Key laboratory research projects of the education department of Shaanxi province ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136965]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Shengzhi |
| 作者单位 | 1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Jing,Huang, Shengzhi,Huang, Qiang,et al. Time-scale dependent mechanism of atmospheric CO2 concentration drivers of watershed water-energy balance[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,754:13. |
| APA | Zhao, Jing,Huang, Shengzhi,Huang, Qiang,Pan, Baozhu,Leng, Guoyong,&Wang, Hao.(2021).Time-scale dependent mechanism of atmospheric CO2 concentration drivers of watershed water-energy balance.SCIENCE OF THE TOTAL ENVIRONMENT,754,13. |
| MLA | Zhao, Jing,et al."Time-scale dependent mechanism of atmospheric CO2 concentration drivers of watershed water-energy balance".SCIENCE OF THE TOTAL ENVIRONMENT 754(2021):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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