Terrestrial Water 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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Main Authors: Qingzhong Huang, Qiang Zhang, Chong-Yu Xu, Qin Li, Peng Sun
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/23/6646/pdf
https://www.mdpi.com/2071-1050/11/23/6646/
id ftrepec:oai:RePEc:gam:jsusta:v:11:y:2019:i:23:p:6646-:d:290475
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spelling ftrepec:oai:RePEc:gam:jsusta:v:11:y:2019:i:23:p:6646-:d:290475 2024-04-14T08:15:57+00:00 Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors Qingzhong Huang Qiang Zhang Chong-Yu Xu Qin Li Peng Sun https://www.mdpi.com/2071-1050/11/23/6646/pdf https://www.mdpi.com/2071-1050/11/23/6646/ unknown https://www.mdpi.com/2071-1050/11/23/6646/pdf https://www.mdpi.com/2071-1050/11/23/6646/ article ftrepec 2024-03-19T10:27:10Z 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. GRACE; terrestrial water storage; climate change; correlation analysis Article in Journal/Newspaper North Atlantic North Atlantic oscillation RePEc (Research Papers in Economics) Indian Pacific
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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. GRACE; terrestrial water storage; climate change; correlation analysis
format Article in Journal/Newspaper
author Qingzhong Huang
Qiang Zhang
Chong-Yu Xu
Qin Li
Peng Sun
spellingShingle Qingzhong Huang
Qiang Zhang
Chong-Yu Xu
Qin Li
Peng Sun
Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
author_facet Qingzhong Huang
Qiang Zhang
Chong-Yu Xu
Qin Li
Peng Sun
author_sort Qingzhong Huang
title Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
title_short Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
title_full Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
title_fullStr Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
title_full_unstemmed Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors
title_sort terrestrial water storage in china: spatiotemporal pattern and driving factors
url https://www.mdpi.com/2071-1050/11/23/6646/pdf
https://www.mdpi.com/2071-1050/11/23/6646/
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation https://www.mdpi.com/2071-1050/11/23/6646/pdf
https://www.mdpi.com/2071-1050/11/23/6646/
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