scholarly journals Measurement of ground-water storage change and specific yield using the temporal-gravity method near Rillito Creek, Tucson, Arizona

1997 ◽  
Keyword(s):  
Ground Water ◽  
Water Storage ◽  
Specific Yield ◽  
Gravity Method ◽  
Temporal Gravity ◽  
Storage Change

scholarly journals Estimating specific yield and storage change in an unconfined aquifer using temporal gravity surveys

2009 ◽  
Vol 45 (4) ◽  
Author(s):  
Carter L. Gehman ◽  
Dennis L. Harry ◽  
William E. Sanford ◽  
John D. Stednick ◽  
Nathaniel A. Beckman
Keyword(s):  
Unconfined Aquifer ◽  
Specific Yield ◽  
And Storage ◽  
Temporal Gravity ◽  
Storage Change

Calculation of the temporal gravity variation from spatially variable water storage change in soils and aquifers

2009 ◽  
Vol 365 (3-4) ◽  
pp. 302-309 ◽  
Author(s):  
Sílvia Leirião ◽  
Xin He ◽  
Lars Christiansen ◽  
Ole B. Andersen ◽  
Peter Bauer-Gottwein
Keyword(s):  
Water Storage ◽  
Gravity Variation ◽  
Variable Water ◽  
Temporal Gravity ◽  
Storage Change

ASSESSMENT OF THE SPATIO-TEMPORAL VARIATIONS IN GROUND WATER STORAGE USING DOWN-SCALED GRACE DATA

2018 ◽  
Author(s):  
Hossein Sahour ◽  
◽  
Mohamed Sultan ◽  
Karem Abdelmohsen ◽  
Sita Karki ◽  
...  
Keyword(s):  
Ground Water ◽  
Water Storage ◽  
Temporal Variations ◽  
Grace Data ◽  
Spatio Temporal

scholarly journals Total land water storage change over 2003–2013 estimated from a global mass budget approach

2015 ◽  
Vol 10 (12) ◽  
pp. 124010 ◽  
Author(s):  
H B Dieng ◽  
N Champollion ◽  
A Cazenave ◽  
Y Wada ◽  
E Schrama ◽  
...  
Keyword(s):  
Water Storage ◽  
Mass Budget ◽  
Storage Change ◽  
Land Water

Estimating the water balance and uncertainty bounds in a highly groundwater-dependent and data-scarce areas: An example for the upper Citarum basin

2021 ◽  
Author(s):  
Steven Reinaldo Rusli ◽  
Albrecht Weerts ◽  
Victor Bense
Keyword(s):  
Water Balance ◽  
Water Storage ◽  
Total Water ◽  
Groundwater Abstraction ◽  
Water Balance Components ◽  
Groundwater Storage ◽  
Actual Evaporation ◽  
Basin Scale ◽  
Basin Water ◽  
Storage Change

<p>In this study, we estimate the water balance components of a highly groundwater-dependent and hydrological data-scarce basin of the upper reaches of the Citarum river in West Java, Indonesia. Firstly, we estimate the groundwater abstraction volumes based on population size and a review of literature (0.57mm/day). Estimates of other components like rainfall, actual evaporation, discharge, and total water storage changes are derived from global datasets and are simulated using a distributed hydrological wflow_sbm model which yields additional estimates of discharge, actual evaporation, and total water storage change. We compare each basin water balance estimate as well as quantify the uncertainty of some of the components using the Extended Triple Collocation (ETC) method.</p><p>The ETC application on four different rainfall estimates suggests a preference of using the CHIRPS product as the input to the water balance components estimates as it delivers the highest r<sup>2</sup>  and the lowest RMSE compared to three other sources. From the different data sources and results of the distributed hydrological modeling using CHIRPS as rainfall forcing, we estimate a positive groundwater storage change between 0.12 mm/day - 0.60 mm/day. These results are in agreement with groundwater storage change estimates based upon GRACE gravimetric satellite data, averaged at 0.25 mm/day. The positive groundwater storage change suggests sufficient groundwater recharge occurs compensating for groundwater abstraction. This conclusion seems in agreement with the observation since 2005, although measured in different magnitudes. To validate and narrow the estimated ranges of the basin water storage changes, a devoted groundwater model is necessary to be developed. The result shall also aid in assessing the current and future basin-scale groundwater level changes to support operational water management and policy in the Upper Citarum basin.</p>

A Comparative Study on Calculating Water Storage Change of River Basin Based on Two Methods

2014 ◽  
Vol 1030-1032 ◽  
pp. 465-471
Author(s):  
Min Xu ◽  
Jian Wang ◽  
Qiu Dong Zhao
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Water Storage ◽  
Critical Issue ◽  
Frozen Soil ◽  
Global Land ◽  
Grace Satellites ◽  
Storage Change

Water scarcity is a critical issue in most regions of China; however, river basin groundwater monitoring is extremely limited.This study evaluates the ability of the GRACE satellites and Global Land Data Assimilation System(GLDAS) to monitor groundwater storage in the Yellow River Basin and Yangtze River Basin, China, which is subjected to intense irrigation, production and living. The simulated terrestrial water storage change data which was calculateed by Global Land Data Assimilate System was used to compare the accuracy of GRACE data. Results show that both two datas show significant seasonal cycle in the Yangtze River and Yellow River (except frozen soil), the correlation is 0.89 and 0.84(p<0.05).Two methods have some differences on grid scales, the results which was retrieved by GRACE satellites have better continuity than simulated by GLDAS. GRACE inversion results reflect deeper water storge change in soil, and GLDAS simply reflect surface soil moisture.

scholarly journals Evaluation of Water Storage Change of Inland Cryosphere in Northwestern China

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Min Xu ◽  
Shichang Kang ◽  
Jiazhen Li
Keyword(s):  
Water Storage ◽  
Northwestern China ◽  
Satellite Mission ◽  
Pronounced Increase ◽  
The North ◽  
Gravity Fields ◽  
Grace Satellite ◽  
Gravity Recovery ◽  
Storage Change ◽  
Assimilation Model

The Gravity Recovery and Climate Experiment (GRACE) satellite mission provides measurements of Earth’s static and time-variable gravity fields with monthly resolution. In this study, changes of water storage in northwestern China were determined by GRACE monthly gravity field data obtained from 2003 to 2010. Comparisons of water storage change (WSC) simulated by a four-dimensional assimilation model (Noah) and observed by GRACE revealed similar patterns of change and a correlation coefficient of 0.71(P<0.05). Trend analysis indicated significant changes in the spatiotemporal variation of WSC in northwestern China during the 8-year study period, which were stronger in the east than in the west and more pronounced in the south than in the north. The most pronounced increase in water storage occurred in Gansu and Qinghai provinces, but, overall, water storage increased by 0.61 mm/a over northwestern China during the study period. Clear seasonal variations of WSC and precipitation were found, because glacial meltwater and precipitation are the main sources of water in the hydrosphere; meanwhile, the distributions of glaciers and permafrost also affect the spatial distribution of WSC.

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