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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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 |
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Open Polar |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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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 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 |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/su11236646 |
container_title |
Sustainability |
container_volume |
11 |
container_issue |
23 |
container_start_page |
6646 |
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1766132954618134528 |