Groundwater storage change across the Indo-Gangetic basin

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Groundwater Level ◽  
Data Sources ◽  
Specific Yield ◽  
Groundwater Storage ◽  
British Geological Survey ◽  
Full List ◽  
Level Change ◽  
Storage Change ◽  
Groundwater Level Change

This 1 km resolution grid shows the estimated mean annual groundwater storage change (in cm) across the aquifer based on annual groundwater-level change and specific yield. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Abstraction Groundwater Storage

Groundwater storage in Africa

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Effective Porosity ◽  
Data Sources ◽  
Groundwater Storage ◽  
British Geological Survey ◽  
Full List ◽  
The World ◽  
Storage Type ◽  
Porosity Range ◽  
Aquifer Flow

This 5 km resolution grid presents groundwater storage in Africa (in mm). This parameter was estimated by combining the saturated aquifer thickness and effective porosity of aquifers across Africa. For each aquifer flow/storage type an effective porosity range was assigned based on a series of studies across Africa and surrogates in other parts of the world. Groundwater storage is given in millimeters. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html Groundwater Storage

Groundwater level trends across the Indo-Gangetic basin

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Water Table ◽  
Groundwater Level ◽  
Data Sources ◽  
Geological Survey ◽  
Annual Change ◽  
British Geological Survey ◽  
Full List

This 1 km resolution grid shows mean annual change in water-table levels across the aquifer during the period 2000 to 2010 in meters per year. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Abstraction Groundwater Stress

Groundwater abstraction across the Indo-Gangetic basin (2010)

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Data Sources ◽  
Geological Survey ◽  
Groundwater Abstraction ◽  
British Geological Survey ◽  
Full List

This 1 km resolution grid shows the estimated mean annual groundwater abstraction in millimeters across the Indo-Gangetic basin based on data from 2010. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Abstraction Groundwater Stress

Groundwater productivity in Africa

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Interquartile Range ◽  
Data Sources ◽  
Geological Survey ◽  
British Geological Survey ◽  
Full List

This 5 km resolution grid indicates what borehole yields (in l/s) can reasonably be expected in different hydrogeological units. The ranges indicate the approximate interquartile range of the yield of boreholes that have been sited and drilled using appropriate techniques. Groundwater productivity is given in liters per second. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html Groundwater Supply

Groundwater salinity across the Indo-Gangetic basin

2017 ◽  
Author(s):  
Gabin Archambault
Keyword(s):  
High Resolution ◽  
Total Dissolved Solids ◽  
Data Sources ◽  
Geological Survey ◽  
Groundwater Salinity ◽  
Dissolved Solids ◽  
British Geological Survey ◽  
Full List

This 1 km resolution grid shows salinity measured as total dissolved solids (TDS, in mg/l) in the groundwater across the Indo-Gangetic basin. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Groundwater Quality

scholarly journals Development of an Apparent Recharge Coefficient (ARC) for Estimating Groundwater Storage Changes due to Precipitation Events Using Time Series Monitoring Data

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1675
Author(s):  
Jae Min Lee ◽  
Sunjoo Cho ◽  
Hyun A Lee ◽  
Nam C. Woo
Keyword(s):  
Water Resources ◽  
Groundwater Level ◽  
Global Climate ◽  
Soil Layer ◽  
Monitoring Data ◽  
Specific Yield ◽  
Groundwater Storage ◽  
Hydrogeological Characteristics ◽  
Sustainable Water Supply ◽  
Precipitation Events

Significant variation in the precipitation events caused by global climate change has made it difficult to manage water resources due to the increased frequency of unexpected droughts and floods. Under these conditions, groundwater is needed to ensure a sustainable water supply; thus, estimates of precipitation recharge are essential. In this study, we derived an apparent recharge coefficient (ARC) from a modified water table fluctuation equation to predict groundwater storage changes due to precipitation events. The ARC is calculated as the ratio of the recharge rate over the specific yield (R/Sy); therefore, it implicitly expresses variation in Sy. The ARC varies spatially and temporally, corresponding to the precipitation events and hydrogeological characteristics of unsaturated materials. ARCs for five monitoring wells from two basins in Korea in different seasons were calculated using a 10-year groundwater level and weather dataset for 2005–2014. Then, the reliability of the ARCs was tested by the comparison of the predicted groundwater level changes for 2015 and 2016 with observed data. The root mean square error ranged from 0.03 to 0.09 m, indicating that the predictions were acceptable, except for one well, which had thick clay layers atop the soil layer; the low permeability of the clay slowed the precipitation recharge, interfering with groundwater level responses. We performed a back-calculation of R from the Sy values of the study areas; the results were similar to those obtained via other methods, confirming the practical applicability of the ARC. In conclusion, the ARC is a viable method for predicting groundwater storage changes for regions where long-term monitoring data are available, and subsequently will facilitate advanced decision making for allocating and developing water resources for residents, industry, and groundwater-dependent ecosystems.

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