Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin
文献类型：期刊论文
| 作者 | Jing, Wenlong2; Yao, Ling1,3; Zhao, Xiaodan2; Zhang, Pengyan4; Liu, Yangxiaoyue2; Xia, Xiaolin2; Song, Jia1,3 ; Yang, Ji2; Li, Yong2; Zhou, Chenghu2,3
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| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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| 出版日期 | 2019-12-15 |
| 页码 | 22 |
| ISSN号 | 2169-897X |
| 关键词 | The Yellow River Basin terrestrial water storage GRACE satellites land surface model hydrology model |
| DOI | 10.1029/2019JD031432 |
| 通讯作者 | Zhang, Pengyan(pengyanzh@henu.edu.cn) |
| 英文摘要 | Under dual impacts from climate change and human activities, the Yellow River Basin (YRB) of China suffers from droughts and water scarcity. Understanding variations of terrestrial water storage (TWS) over the YRB is significant and beneficial to regional water resources management and sustainable development. This study investigates TWS variations in the YRB using data sets from two solutions (RL05 and RL06) of the Gravity Recovery and Climate Experiment (GRACE) satellites, as well as from global land surface models (the NOAH model and Catchment Land Surface Model [CLSM]) and hydrology and water resources model (PCR-GLOBWB). Annual terrestrial water storage anomalies (TWSA) variation patterns were tracked by introducing a weighed centroid analysis concept. Human water use was analyzed, and its importance to TWS changes was evaluated by using the random forest algorithm. Conclusions can be briefly summarized as follows: (1) The declining trend of TWS in the YRB from the RL06 solution is more negative than that from RL05; the TWS trend from the PCR-GLOBWB model is more consistent with GRACE than with the NOAH model and CLSM at the basin level, and the three models all underestimate the declining trend of TWS in the midstream relative to the GRACE solutions. (2) Spatial weighed centroids of annual GRACE TWSA moved toward the headwater of the YRB during the 2003-2015 period, suggesting a wide gap of TWS between the upstream and downstream YRB; the TWSA time series well correlate with the long-term accumulation of climatic water balance, but the connections became weak in the 2010-2015 period. (3) Groundwater withdrawals have been controlled according to the Water Resources Bulletin, but the stress may be partly shifted to surface water; the increasing trend of ecological and industrial surface water use is significant, following the agriculture water use. (4) For the entire YRB, groundwater use accounts for the majority of feature importance in modeling TWSA time series, and the contribution of climate factors is the least. Agricultural water use ranks first relative to other sectors for the YRB, followed by the ecological and industrial use. This study provides a first comparison of TWSA between the latest Center for Space Research (CSR) GRACE RL06 solution and the previous RL05 solution in the YRB. The results are expected to present a comprehensive picture of TWS variations in the YRB and the impacts from climate and human factors. |
| WOS关键词 | RANDOM FOREST ; GRIDDED DATASET ; CLIMATE-CHANGE ; GRACE ; CHINA ; IRRIGATION ; DROUGHT ; RESOURCES ; DYNAMICS ; MODEL |
| 资助项目 | National Natural Science Foundation of China[41801362] ; National Natural Science Foundation of China[41771380] ; National Natural Science Foundation of China[41601175] ; Natural Science Foundation of Guangdong Province, China[2018A030310470] ; GDAS's Project of Science and Technology Development[2016GDASRC-0211] ; GDAS's Project of Science and Technology Development[2017GDASCX-0101] ; GDAS's Project of Science and Technology Development[2017GDASCX-0601] ; GDAS's Project of Science and Technology Development[2017GDASCX-0403] ; GDAS's Project of Science and Technology Development[2017GDASCX-0801] ; GDAS's Project of Science and Technology Development[2018GDASCX-0101] ; GDAS's Project of Science and Technology Development[2018GDASCX-0403] ; GDAS's Project of Science and Technology Development[2019GDASYL-0502001] ; GDAS's Project of Science and Technology Development[2019GDASYL-0301001] ; GDAS's Project of Science and Technology Development[2019GDASYL-0302001] ; GDAS's Project of Science and Technology Development[2019GDASYL-0501001] ; GDAS's Project of Science and Technology Development[2019GDASYL-0401001] ; GDAS's Project of Science and Technology Development[2020GDASYL20200104003] ; Guangdong Provincial Science and Technology Program[2018B030324001] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0301] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; 2018 Young Backbone Teachers Foundation from Henan Province[2018GGJS019] ; Program for Innovative Research Talent in University of Henan Province[20HASTIT017] ; Key R&D and extension projects in Henan Province in 2019 (agriculture and social development field)[192102310002] ; Innovation Team Cultivation Project of The Firstclass Discipline in Henan University[2018YLTD16] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:000502950500001 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province, China ; GDAS's Project of Science and Technology Development ; Guangdong Provincial Science and Technology Program ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) ; Guangdong Innovative and Entrepreneurial Research Team Program ; 2018 Young Backbone Teachers Foundation from Henan Province ; Program for Innovative Research Talent in University of Henan Province ; Key R&D and extension projects in Henan Province in 2019 (agriculture and social development field) ; Innovation Team Cultivation Project of The Firstclass Discipline in Henan University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131190]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Pengyan |
| 作者单位 | 1.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China 2.Guangzhou Inst Geog, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Henan Univ, Inst Agr & Rural Sustainable Dev, Res Ctr Reg Dev & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jing, Wenlong,Yao, Ling,Zhao, Xiaodan,et al. Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019:22. |
| APA | Jing, Wenlong.,Yao, Ling.,Zhao, Xiaodan.,Zhang, Pengyan.,Liu, Yangxiaoyue.,...&Zhou, Chenghu.(2019).Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,22. |
| MLA | Jing, Wenlong,et al."Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2019):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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