中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model

文献类型：期刊论文

作者Hao, Yu2,5; Sun, Fubao1,2,3,5; Wang, Hong3; Liu, Wenbin3; Shen, Yan-Jun4; Li, Zhi5; Hu, Shunjun5
刊名CATENA
出版日期2022-05-01
卷号212页码:14
关键词Hydrological model calibration Snow hydrology CemaNeige-GR6J Climate change Kaidu River Basin
ISSN号0341-8162
DOI10.1016/j.catena.2022.106082
通讯作者Sun, Fubao(sunfb@ms.xjb.ac.cn) ; Wang, Hong(wanghong@igsnrr.ac.cn)
英文摘要Snow-affected mountainous areas are highly vulnerable to climate changes in arid and semi-arid regions. Previous studies have put more emphasis on runoff, however, research about snow hydrological processes is still insufficient. Based on the optimization of calibration strategies, this study aims to provide a more realistic simulation of snow hydrology by coupling both a lumped rainfall-runoff model (GR6J) and a semi-distributed snow model (CemaNeige). Compared with calibration using only runoff, the multi-objective calibration with both runoff and snow not only significantly improved the KGE (Kling-Gupta efficiency) of snow from 0.34/0.47 to 0.67/0.69 during the calibration/validation period, but also slightly improved the KGE of runoff from 0.84/ 0.75 to 0.86/0.78, respectively. Additionally, we also found that the calibration using only runoff may underestimate snow cover (41%) and overestimate snowpack (20%), while there is little discrepancy in snowmelt and runoff. Snowmelt runoff is 57.7 mm accounting for 26% of the annual runoff. In the historical period (1980-2011), the runoff varied with a positive trend of 2.15 mm year-1 (p < 0.1), while its tendency became negative in the future. A 15% to 30% decline in runoff was projected for SSP370 (SSP3-RCP7) and SSP585 (SSP5RCP8.5) in the 2085s (2070-2100) compared with that in the 1985s (1970-2000). Through further study on seasonal variations, we found that the future runoff decline is probably due to mild rise in rain not enough to alleviate the larger AE (actual evaporation), and for the runoff and AE we also found the variations in summer dominated the annual changes. In response to global warming, SCED (snow cover end date) advances while SCOD (snow cover onset date) recedes in all four scenarios as the year increases. Generally, coupling different hydrological models and multi-objective calibration strategies is vital for understanding the hydrological processes in snow-affected catchments.
WOS关键词TARIM RIVER ; DOMINATED CATCHMENTS ; SENSITIVITY-ANALYSIS ; SWAT MODEL ; PART 2 ; COVER ; RUNOFF ; PRECIPITATION ; TEMPERATURE ; CALIBRATION
资助项目National Natural Science Foundation of China[42025104] ; National Natural Science Foundation of China[42022005] ; Open Research Fund of State Key Laboratory of Desert and Oasis Ecology, Xinjiang, Institute of Ecology and Geography, Chinese Academy of Sciences[G2019-02-02] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2019-3] ; Program for the Kezhen-BingweiYouth Talents from the Institute of Geographic Sciences[2020RC004] ; Natural Resources Research ; Chinese Academy of Sciences ; Top-Notch Young Talents Program of China
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:000790442800003
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Open Research Fund of State Key Laboratory of Desert and Oasis Ecology, Xinjiang, Institute of Ecology and Geography, Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Program for the Kezhen-BingweiYouth Talents from the Institute of Geographic Sciences ; Natural Resources Research ; Chinese Academy of Sciences ; Top-Notch Young Talents Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/175895]  
专题中国科学院地理科学与资源研究所
通讯作者Sun, Fubao; Wang, Hong
作者单位1.Akesu Natl Stn Observat & Res Oasis Agro Ecosyst, Akesu 843017, Xinjiang, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Ctr Agr Resources Res, Key Lab Agr Water Resources, Shijiazhuang 050022, Peoples R China
5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
推荐引用方式
GB/T 7714		 Hao, Yu,Sun, Fubao,Wang, Hong,et al. Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model[J]. CATENA,2022,212:14.
APA Hao, Yu.,Sun, Fubao.,Wang, Hong.,Liu, Wenbin.,Shen, Yan-Jun.,...&Hu, Shunjun.(2022).Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model.CATENA,212,14.
MLA Hao, Yu,et al."Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model".CATENA 212(2022):14.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。