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Groundwater depletion estimated from GRACE : A challenge of sustainable development in an arid region of Central Asia

Hu, Zengyun; Zhou, Qiming; Chen, Xi; Chen, Deliang; Li, Jianfeng; Guo, Meiyu; Yin, Gang and Duan, Zheng LU (2019) In Remote Sensing 11(16).
Abstract

Under climate change and increasing water demands, groundwater depletion has become regional and global threats for water security, which is an indispensable target to achieving sustainable developments of human society and ecosystems, especially in arid and semiarid regions where groundwater is a major water source. In this study, groundwater depletion of 2003-2016 over Xinjiang in China, a typical arid region of Central Asia, is assessed using the gravity recovery and climate experiment (GRACE) satellite and the global land data assimilation system (GLDAS) datasets. In the transition of a warm-dry to a warm-wet climate in Xinjiang, increases in precipitation, soil moisture and snow water equivalent are detected, while GRACE-based... (More)

Under climate change and increasing water demands, groundwater depletion has become regional and global threats for water security, which is an indispensable target to achieving sustainable developments of human society and ecosystems, especially in arid and semiarid regions where groundwater is a major water source. In this study, groundwater depletion of 2003-2016 over Xinjiang in China, a typical arid region of Central Asia, is assessed using the gravity recovery and climate experiment (GRACE) satellite and the global land data assimilation system (GLDAS) datasets. In the transition of a warm-dry to a warm-wet climate in Xinjiang, increases in precipitation, soil moisture and snow water equivalent are detected, while GRACE-based groundwater storage anomalies (GWSA) exhibit significant decreasing trends with rates between-3.61 ± 0.85 mm/a of CSR-GWSA and -3.10 ± 0.91 mm/a of JPL-GWSA. Groundwater depletion is more severe in autumn and winter. The decreases in GRACE-based GWSA are in a good agreement with the groundwater statistics collected from local authorities. However, at the same time, groundwater abstraction in Xinjiang doubled, and the water supplies get more dependent on groundwater. The magnitude of groundwater depletion is about that of annual groundwater abstraction, suggesting that scientific exploitation of groundwater is the key to ensure the sustainability of freshwater withdrawals and supplies. Furthermore, GWSA changes can be well estimated by the partial least square regression (PLSR) method based on inputs of climate data. Therefore, GRACE observations provide a feasible approach for local policy makers to monitor and forecast groundwater changes to control groundwater depletion.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Arid region, GLDAS, GRACE, Groundwater variation, Sustainable development, Terrestrial water storage
in
Remote Sensing
volume
11
issue
16
publisher
MDPI AG
external identifiers
  • scopus:85071559928
ISSN
2072-4292
DOI
10.3390/rs11161908
language
English
LU publication?
yes
id
6988f429-922e-46e4-97dc-6b0b4a327147
date added to LUP
2019-09-24 14:44:44
date last changed
2019-10-08 03:59:07
@article{6988f429-922e-46e4-97dc-6b0b4a327147,
  abstract     = {<p>Under climate change and increasing water demands, groundwater depletion has become regional and global threats for water security, which is an indispensable target to achieving sustainable developments of human society and ecosystems, especially in arid and semiarid regions where groundwater is a major water source. In this study, groundwater depletion of 2003-2016 over Xinjiang in China, a typical arid region of Central Asia, is assessed using the gravity recovery and climate experiment (GRACE) satellite and the global land data assimilation system (GLDAS) datasets. In the transition of a warm-dry to a warm-wet climate in Xinjiang, increases in precipitation, soil moisture and snow water equivalent are detected, while GRACE-based groundwater storage anomalies (GWSA) exhibit significant decreasing trends with rates between-3.61 ± 0.85 mm/a of CSR-GWSA and -3.10 ± 0.91 mm/a of JPL-GWSA. Groundwater depletion is more severe in autumn and winter. The decreases in GRACE-based GWSA are in a good agreement with the groundwater statistics collected from local authorities. However, at the same time, groundwater abstraction in Xinjiang doubled, and the water supplies get more dependent on groundwater. The magnitude of groundwater depletion is about that of annual groundwater abstraction, suggesting that scientific exploitation of groundwater is the key to ensure the sustainability of freshwater withdrawals and supplies. Furthermore, GWSA changes can be well estimated by the partial least square regression (PLSR) method based on inputs of climate data. Therefore, GRACE observations provide a feasible approach for local policy makers to monitor and forecast groundwater changes to control groundwater depletion.</p>},
  articleno    = {1908},
  author       = {Hu, Zengyun and Zhou, Qiming and Chen, Xi and Chen, Deliang and Li, Jianfeng and Guo, Meiyu and Yin, Gang and Duan, Zheng},
  issn         = {2072-4292},
  keyword      = {Arid region,GLDAS,GRACE,Groundwater variation,Sustainable development,Terrestrial water storage},
  language     = {eng},
  number       = {16},
  publisher    = {MDPI AG},
  series       = {Remote Sensing},
  title        = {Groundwater depletion estimated from GRACE : A challenge of sustainable development in an arid region of Central Asia},
  url          = {http://dx.doi.org/10.3390/rs11161908},
  volume       = {11},
  year         = {2019},
}