Terrestrialwater storage in China: Spatiotemporal pattern and driving factors

China is the largest agricultural country with the largest population and booming socio-economy, and hence, remarkably increasing water demand. In this sense, it is practically critical to obtain knowledge about spatiotemporal variations of the territorial water storage (TWS) and relevant driving fa...

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Published in:Sustainability
Main Authors: Huang, Qingzhong, Zhang, Qiang, Xu, Chong-Yu, Li, Qin, Sun, Peng
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/10852/77437
http://urn.nb.no/URN:NBN:no-80575
https://doi.org/10.3390/su11236646
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spelling ftoslouniv:oai:www.duo.uio.no:10852/77437 2023-05-15T17:34:12+02:00 Terrestrialwater storage in China: Spatiotemporal pattern and driving factors Huang, Qingzhong Zhang, Qiang Xu, Chong-Yu Li, Qin Sun, Peng 2020-02-21T12:37:42Z http://hdl.handle.net/10852/77437 http://urn.nb.no/URN:NBN:no-80575 https://doi.org/10.3390/su11236646 EN eng http://urn.nb.no/URN:NBN:no-80575 Huang, Qingzhong Zhang, Qiang Xu, Chong-Yu Li, Qin Sun, Peng . Terrestrialwater storage in China: Spatiotemporal pattern and driving factors. Sustainability. 2019, 11 http://hdl.handle.net/10852/77437 1796482 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Sustainability&rft.volume=11&rft.spage=&rft.date=2019 Sustainability 11 23 19 https://doi.org/10.3390/su11236646 URN:NBN:no-80575 Fulltext https://www.duo.uio.no/bitstream/handle/10852/77437/2/sustainability-11-06646.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 2071-1050 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2020 ftoslouniv https://doi.org/10.3390/su11236646 2020-07-08T22:29:17Z China is the largest agricultural country with the largest population and booming socio-economy, and hence, remarkably increasing water demand. In this sense, it is practically critical to obtain knowledge about spatiotemporal variations of the territorial water storage (TWS) and relevant driving factors. In this study, we attempted to investigate TWS changes in both space and time using the monthly GRACE (Gravity Recovery and Climate Experiment) data during 2003–2015. Impacts of four climate indices on TWS were explored, and these four climate indices are, respectively, El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), and Pacific decadal oscillation (PDO). In addition, we also considered the impacts of precipitation changes on TWS. We found significant correlations between climatic variations and TWS changes across China. Meanwhile, the impacts of climate indices on TWS changes were shifting from one region to another across China with different time lags ranging from 0 to 12 months. ENSO, IOD and PDO exerted significant impacts on TWS over 80% of the regions across China, while NAO affected TWS changes over around 40% of the regions across China. Moreover, we also detected significant relations between TWS and precipitation changes within 9 out of the 10 largest river basins across China. These results highlight the management of TWS across China in a changing environment and also provide a theoretical ground for TWS management in other regions of the globe. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Indian Pacific Sustainability 11 23 6646
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
description China is the largest agricultural country with the largest population and booming socio-economy, and hence, remarkably increasing water demand. In this sense, it is practically critical to obtain knowledge about spatiotemporal variations of the territorial water storage (TWS) and relevant driving factors. In this study, we attempted to investigate TWS changes in both space and time using the monthly GRACE (Gravity Recovery and Climate Experiment) data during 2003–2015. Impacts of four climate indices on TWS were explored, and these four climate indices are, respectively, El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), and Pacific decadal oscillation (PDO). In addition, we also considered the impacts of precipitation changes on TWS. We found significant correlations between climatic variations and TWS changes across China. Meanwhile, the impacts of climate indices on TWS changes were shifting from one region to another across China with different time lags ranging from 0 to 12 months. ENSO, IOD and PDO exerted significant impacts on TWS over 80% of the regions across China, while NAO affected TWS changes over around 40% of the regions across China. Moreover, we also detected significant relations between TWS and precipitation changes within 9 out of the 10 largest river basins across China. These results highlight the management of TWS across China in a changing environment and also provide a theoretical ground for TWS management in other regions of the globe.
format Article in Journal/Newspaper
author Huang, Qingzhong
Zhang, Qiang
Xu, Chong-Yu
Li, Qin
Sun, Peng
spellingShingle Huang, Qingzhong
Zhang, Qiang
Xu, Chong-Yu
Li, Qin
Sun, Peng
Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
author_facet Huang, Qingzhong
Zhang, Qiang
Xu, Chong-Yu
Li, Qin
Sun, Peng
author_sort Huang, Qingzhong
title Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
title_short Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
title_full Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
title_fullStr Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
title_full_unstemmed Terrestrialwater storage in China: Spatiotemporal pattern and driving factors
title_sort terrestrialwater storage in china: spatiotemporal pattern and driving factors
publishDate 2020
url http://hdl.handle.net/10852/77437
http://urn.nb.no/URN:NBN:no-80575
https://doi.org/10.3390/su11236646
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source 2071-1050
op_relation http://urn.nb.no/URN:NBN:no-80575
Huang, Qingzhong Zhang, Qiang Xu, Chong-Yu Li, Qin Sun, Peng . Terrestrialwater storage in China: Spatiotemporal pattern and driving factors. Sustainability. 2019, 11
http://hdl.handle.net/10852/77437
1796482
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