Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s40333-016-0126-4 |
Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis | |
Ning Like1,2; Xia Jun1,3; Zhan Chesheng1; Zhang Yongyong1 | |
通讯作者 | Xia Jun |
来源期刊 | JOURNAL OF ARID LAND
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ISSN | 1674-6767 |
EISSN | 2194-7783 |
出版年 | 2016 |
卷号 | 8期号:4页码:506-520 |
英文摘要 | Runoff is a major component of the water cycle, and its multi-scale fluctuations are important to water resources management across arid and semi-arid regions. This paper coupled the Distributed Time Variant Gain Model (DTVGM) into the Community Land Model (CLM 3.5), replacing the TOPMODEL-based method to simulate runoff in the arid and semi-arid regions of China. The coupled model was calibrated at five gauging stations for the period 1980-2005 and validated for the period 2006-2010. Then, future runoff (2010-2100) was simulated for different Representative Concentration Pathways (RCP) emission scenarios. After that, the spatial distributions of the future runoff for these scenarios were discussed, and the multi-scale fluctuation characteristics of the future annual runoff for the RCP scenarios were explored using the Ensemble Empirical Mode Decomposition (EEMD) analysis method. Finally, the decadal variabilities of the future annual runoff for the entire study area and the five catchments in it were investigated. The results showed that the future annual runoff had slowly decreasing trends for scenarios RCP 2.6 and RCP 8.5 during the period 2010-2100, whereas it had a non-monotonic trend for the RCP 4.5 scenario, with a slow increase after the 2050s. Additionally, the future annual runoff clearly varied over a decadal time scale, indicating that it had clear divisions between dry and wet periods. The longest dry period was approximately 15 years (2040-2055) for the RCP 2.6 scenario and 25 years (2045-2070) for the RCP 4.5 scenario. However, the RCP 8.5 scenario was predicted to have a long dry period starting from 2045. Under these scenarios, the water resources situation of the study area will be extremely severe. Therefore, adaptive water management measures addressing climate change should be adopted to proactively confront the risks of water resources. |
英文关键词 | Community Land Model (CLM) Distributed Time Variant Gain Model (DTVGM) Ensemble Empirical Mode Decomposition (EEMD) decadal variability arid and semi-arid regions |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000375449800003 |
WOS关键词 | SOIL-MOISTURE ; MODEL ; TREND |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 中国科学院地理科学与资源研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/194203 |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Peoples R China |
推荐引用方式 GB/T 7714 | Ning Like,Xia Jun,Zhan Chesheng,et al. Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis[J]. 中国科学院地理科学与资源研究所,2016,8(4):506-520. |
APA | Ning Like,Xia Jun,Zhan Chesheng,&Zhang Yongyong.(2016).Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis.JOURNAL OF ARID LAND,8(4),506-520. |
MLA | Ning Like,et al."Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis".JOURNAL OF ARID LAND 8.4(2016):506-520. |
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