Estimating groundwater storage changes in the Heihe river basin using grace

Cao, Yanjie; Zhang, Nan; Hu, X Y

doi:10.1109/igarss.2012.6351441

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Cao et al . () did such an analysis for the Heihe River Basin. The GRACE‐derived groundwater storage changes can be compared with the calculated budgets from the groundwater flow model to provide an independent calibration constraint, although the resolution of the GRACE data is usually significantly coarser than that of the flow model.…”

Section: Discussionmentioning

confidence: 99%

Conceptual and numerical models for groundwater flow in an arid inland river basin

Yao

Chen

Liu

et al. 2014

Hydrological Processes

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Abstract:The Heihe River Basin (HRB) is an inland watershed in northwest China with a total area of approximately 130,000 km 2 , stretching from the Qilian Mountains in the south to the oases and agricultural fields in the middle and further to the Gobi desert in the north bordering Mongolia. As part of a major ecohydrological research initiative to provide a stronger scientific underpinning for sustainable water management in arid ecosystems, a regional-scale integrated ecological and hydrological model is being developed, incorporating the knowledge based on the results of environmental isotope tracer analysis and the multiscale observation datasets. The first step in the model development effort is to construct and calibrate a groundwater flow model for the middle and lower HRB where the oases and vegetation along the Heihe river corridor are highly dependent on groundwater. In this study, the software tool 'Arc Hydro Groundwater' is used to build and visualize a hydrogeological data model for the HRB that links all relevant spatiotemporal hydrogeological data in a unified geodatabase within the ArcGIS environment. From the conceptual model, a regional-scale groundwater flow model has been developed using MODFLOW-2005. Critical considerations in developing the flow model include the representation of mountainous terrains and fluvial valleys by individual model layers, treatment of aquifer heterogeneities across multiple scales and selection of proper observation data and boundary conditions for model calibration. This paper discusses these issues in the context of the Heihe River Basin, but the results and insights from this study will have important implications for other large, regional groundwater modelling studies, especially in arid and semiarid inland river basins.

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Section: Discussionmentioning

confidence: 99%

Conceptual and numerical models for groundwater flow in an arid inland river basin

Yao

Chen

Liu

et al. 2014

Hydrological Processes

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“…For determining monthly ∆GWS in each grid, the GRACE solution Terrestrial Water Storage Anomaly (∆TWS) is subtracted from the total monthly anomaly of all other effective hydrological fluxes using (1). The involved hydrological fluxes including SM, SWS, PC, and SMEW given by the GLDAS with 25km×25km spatial and monthly temporal resolution [42]- [44].…”

Section: A Grace-derived Groundwater Storage Changementioning

confidence: 99%

Determination of Groundwater Storage Variation, Deficit, and Abstraction in Afghanistan and the Assessment of the Evolution of Vadose Zone in Kabul City

Daqiq,

Sharma,

Karunakalage

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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Groundwater is Afghanistan's main water supply resource, but the insufficient information and mismanagement of the surface and groundwater system have resulted in an alarming shortage of this precious resource. The monthly groundwater storage variation (△GWS) has been calculated in (mm) with a trend (mm/month) for the time interval of April 2002 to October 2021 using the Gravity Recovery And Climate Experiment (GRACE) dataset for five major river basins of Afghanistan. A maximum and a minimum deseasonalized △GWS are observed at Amu Darya (246 mm to -253 mm) and Hari Rud (89 mm to -102 mm) basins, respectively. Subsequently, the Groundwater Storage Deficit (GWSD) and GWSD Index (GWSDI) were calculated, and a negative GWSDI value signified the groundwater drought. Analysis of the Groundwater Storage Abstraction (GWSabs) has also been carried out for the entire country. The estimated GWSabs trend gives a maximum value of 12.60 mm/year in the Northeast and Southwest parts of the country. A Spatio-temporal analysis showed the maximum GWSabs variation up to 23.12 mm in 2021. Two phases of land deformation were determined in Kabul City using the Interferometric Synthetic Aperture Radar (InSAR) technique. In phase-I (2015-2017), there is a gentle negative trend (-20.66 mm/year in Upper Kabul and -18.54 mm/year in Lower Kabul), but in phase-II (2018-2020), a high negative trend (-151.34 mm/year in Upper Kabul and -145.32 mm/year in Lower Kabul). Overall, the entire country is experiencing a severe groundwater decline, apparently from the interplay of hydroclimatic and anthropogenic factors, which are most dominant in the southern and western parts of Afghanistan.

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Estimating water balance components and their uncertainty bounds in highly groundwater-dependent and data-scarce area: An example for the Upper Citarum basin

Rusli

Weerts

Taufiq³

et al. 2021

Journal of Hydrology: Regional Studies

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Estimating groundwater storage changes in the Heihe river basin using grace

Cited by 6 publications

References 3 publications

Conceptual and numerical models for groundwater flow in an arid inland river basin

Conceptual and numerical models for groundwater flow in an arid inland river basin

Determination of Groundwater Storage Variation, Deficit, and Abstraction in Afghanistan and the Assessment of the Evolution of Vadose Zone in Kabul City

Estimating water balance components and their uncertainty bounds in highly groundwater-dependent and data-scarce area: An example for the Upper Citarum basin

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