Evaluation of groundwater sustainability in the arid Hexi Corridor of Northwestern China, using GRACE, GLDAS and measured groundwater data products.

Arid region GLDAS GRACE Groundwater sustainability WTF method

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
25 Feb 2020
Historique:
received: 01 07 2019
revised: 26 11 2019
accepted: 27 11 2019
entrez: 25 1 2020
pubmed: 25 1 2020
medline: 25 1 2020
Statut: ppublish

Résumé

The exploitation of groundwater resources is of great importance and has become crucial in the last few decades, especially in arid regions, where surface water resources are scarce and unreliable. The Hexi Corridor (HC) is one of the most agriculturally rich and densely populated areas of arid northwestern China. Increasing demand for water, due to rapid population growth, oasis expansion and urbanization, has increased groundwater use, resulting in wide-scale depletion in this region. Sustainable management of aquifers in the HC requires accurate estimates of the current situation of groundwater resource sustainability. In this work, groundwater storage anomaly (∆GWS) were estimated using the Gravity Recovery and Climate Experiment (GRACE) satellite data, the Global Land Data Assimilation System (GLDAS) data and the water-table fluctuation (WTF) method based on in-situ groundwater level data. Combined with the groundwater sustainability index (SI

Identifiants

DOI: 10.1016/j.scitotenv.2019.135829 PMID: 31972954
pubmed: 31972954
pii: S0048-9697(19)35824-3
doi: 10.1016/j.scitotenv.2019.135829
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

135829

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Sijia Wang (S)

Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100029, China.

Hu Liu (H)

Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China. Electronic address: lhayz@lzb.ac.cn.

Yang Yu (Y)

China Institute of Water Resources and Hydropower Research, Beijing 100038, China.

Wenzhi Zhao (W)

Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.

Qiyue Yang (Q)

Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.

Jintao Liu (J)

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China.

Classifications MeSH