Global Assessment of Groundwater Sustainability Based On Storage Anomalies

Thomas, Brian F.; Caineta, Júlio; Nanteza, J.

doi:10.1002/2017gl076005

Cited by 57 publications

(29 citation statements)

References 71 publications

(156 reference statements)

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“…To derive ∆GWS from GRACE ∆TWS (Equation (1)), we use simulated soil moisture to represent ∆SMS and surface runoff, as a proxy for ∆SWS [50,51], from LSMs within NASA's Global Land Data Assimilation System (GLDAS). GLDAS is an uncoupled land surface modelling system that includes multiple global LSMs [52], driven by the observed surface atmospheric fields of Sheffield et al (2006).…”

Section: Figurementioning

confidence: 99%

Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs

et al. 2018

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Increased groundwater abstraction is important to the economic development of Africa and to achieving many of the Sustainable Development Goals. However, there is little information on long-term or seasonal groundwater trends due to a lack of in situ monitoring. Here, we used GRACE data from three products (the Centre for Space Research land solution (CSR), the Jet Propulsion Laboratory's Global Mascon solution (JPL-MSCN), and the Centre National D'etudes Spatiales / Groupe de Recherches de Géodésie Spatiale solution (GRGS)), to examine terrestrial water storage (TWS) changes in 12 African sedimentary aquifers, to examine relationships between TWS and rainfall , and estimate groundwater storage (GWS) changes using four Land Surface Models (LSMs) (Community Land Model (CLM2.0), the Variable Infiltration Capacity model (VIC), the Mosaic model (MOSAIC) and the Noah model (NOAH)). We find that there are no substantial continuous long-term decreasing trends in groundwater storage from 2002 to 2016 in any of the African basins, however, consistent rising groundwater trends amounting to~1 km 3 /year and 1.5 km 3 /year are identified in the Iullemmeden and Senegal basins, respectively, and longer term variations in ∆TWS in several basins associated with rainfall patterns. Discrete seasonal ∆TWS responses of ±1-5 cm/year are indicated by GRACE for each of the basins, with the exception of the Congo, North Kalahari, and Senegal basins, which display larger seasonal ∆TWS equivalent to approx. ±11-20 cm/year. The different seasonal responses in ∆TWS provide useful information about groundwater, including the identification of 5 to 9 month accumulation periods of rainfall in many semi-arid and arid basins as well as differences in ∆TWS responses between Sahelian and southern African aquifers to similar rainfall, likely reflecting differences in landcover. Seasonal ∆GWS estimated by combining GRACE ∆TWS with LSM outputs compare inconsistently to available in situ measurements of groundwater recharge from different basins, highlighting the need to further develop the representation of the recharge process in LSMs and the need for more in situ observations from piezometry.

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Section: Figurementioning

confidence: 99%

Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs

et al. 2018

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“…Terrestrial water storage (TWS) is the total land and subsurface water [49]. It represents all water in river, lakes, ice, soil, and groundwater and indicates the total water available at a location.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Pattern in the Changes in Availability and Sustainability of Water Resources in Afghanistan

et al. 2019

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Water is gradually becoming scarce in Afghanistan like in many other regions of the globe. The objective of this study was to evaluate the spatial changes in the availability and sustainability of water resources in Afghanistan. The Terrestrial Water Storage (TWS) data of the Gravity Recovery and Climate Experiment (GRACE) satellite obtained from three different institutes, having 1° × 1° spatial resolution for the period 2002–2016 was used for this purpose. Sen’s slope method was used to assess the rate of change, and the Modified Mann–Kendall test was used for the evaluation of the significance of trends in TWS. After, the concept of reliability–resiliency–vulnerability (RRV) was used for assessing the spatial distribution of sustainability in water resources. The results revealed a significant decrease in water availability in the country over the last 15 years. The decrease was found to be highest in the central region where most of the population of the country resides. The reliability in water resources was found high in the northeast Himalayan region and low in the southwest desert; resilience was found low in the central region, while vulnerability was found high in the south and the southeast. Overall, the water resources of the country were found most sustainable in the northeast and southwest and least in the south and the central parts. The maps of water resource sustainability and the changes in water availability produced in the present study can be used for long-term planning of water resources for adaptation to global changes. Besides, those can be used for the management of water resources in a sustainable and judicious manner.

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“…irrigation) influences globally (Rodell et al, 2018). Changes in groundwater storage (GRACE-derived ΔGWS) are computed from ΔTWS after deducting contributions (equation 1) that arise from other terrestrial water stores including soil moisture (ΔSMS), surface water (ΔSWS), and the snow water storage (ΔSNS) using data from Land Surface Models (LSMs) either exclusively (Rodell et al, 2009;Famiglietti et al, 2011;Scanlon et al, 2012a;Famiglietti and Rodell, 2013;Richey et al, 2015;Thomas et al, 2017) https://doi.org/10.5194/esd-2019-43 Preprint. Discussion started: 9 September 2019 c Author(s) 2019.…”

Section: Introductionmentioning

confidence: 99%

“…Previous assessments of changes in groundwater storage using GRACE in the world's 37 large aquifer systems (Richey et al, 2015;Thomas et al, 2017) (Fig. 1, Table 1) have raised concerns about the sustainability of human use of groundwater resources.…”

Section: Introductionmentioning

confidence: 99%

Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation

Shamsudduha¹,

Taylor²

2019

Preprint

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Abstract. Under variable and changing climates groundwater storage sustains vital ecosystems and enables freshwater withdrawals globally for agriculture, drinking-water, and industry. Here, we assess recent changes in groundwater storage (ΔGWS) from 2002 to 2016 in 37 of the world's large aquifer systems using an ensemble of datasets from the Gravity Recovery and Climate Experiment (GRACE) and Land Surface Models (LSMs). Ensemble GRACE-derived ΔGWS is well reconciled to in-situ observations (r = 0.62–0.86, p value 0.5, p value 90th percentile, 1901–2016) precipitation and is inconsistent with prevailing narratives of global-scale groundwater depletion. Substantial uncertainty remains in estimates of GRACE-derived ΔGWS, evident from 20 realisations presented here, but these data provide a regional context to changes in groundwater storage observed more locally through piezometry.

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Global Assessment of Groundwater Sustainability Based On Storage Anomalies

Cited by 57 publications

References 71 publications

Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs

Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs

Spatio-Temporal Pattern in the Changes in Availability and Sustainability of Water Resources in Afghanistan

Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation

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