Global Land Subsidence Mapping Reveals Widespread Loss of Aquifer Storage Capacity Datasets


An older version of this resource http://www.hydroshare.org/resource/db187b7e328c4158879926d8f9a6dccd is available.
Authors:
Owners: Md Fahim Hasan
Type: Resource
Storage: The size of this resource is 1.6 GB
Created: Aug 25, 2023 at 9:03 p.m.
Last updated: Oct 04, 2023 at 4:19 p.m. (Metadata update)
Published date: Sep 13, 2023 at 3:41 p.m.
DOI: 10.4211/hs.dc7c5bfb3a86479b889d3b30ab0e4ef7
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

Groundwater overdraft gives rise to multiple adverse impacts including land subsidence and permanent groundwater storage loss. Existing methods are unable to characterize groundwater storage loss at the global scale with sufficient resolution to be relevant for local studies. Here we explore the interrelation between groundwater stress, aquifer depletion, and land subsidence using remote sensing and model-based datasets with a machine learning approach. The developed model predicts global land subsidence magnitude at high spatial resolution (~2 km), provides a first-order estimate of aquifer storage loss due to consolidation of ~17 km3/year globally, and quantifies key drivers of subsidence. Roughly 73% of the mapped subsidence occurs over cropland and urban areas, highlighting the need for sustainable groundwater management practices over these areas. The results of this study aid in assessing the spatial extents of subsidence in known subsiding areas, and in locating unknown groundwater stressed regions.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Global
North Latitude
60.0000°
East Longitude
-180.0000°
South Latitude
-60.0000°
West Longitude
180.0000°
Leaflet Map data © OpenStreetMap contributors

Content

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Related Resources

The content of this resource can be executed by https://github.com/mdfahimhasan/Global-Subsidence-Groundwater
This resource updates and replaces a previous version Hasan, M. F., R. Smith, S. Vajedian, S. Majumdar, R. Pommerenke (2023). Global Land Subsidence Mapping Reveals Widespread Loss of Aquifer Storage Capacity Datasets, HydroShare, http://www.hydroshare.org/resource/db187b7e328c4158879926d8f9a6dccd
This resource is referenced by Hasan, M.F., Smith, R., Vajedian, S. et al. Global land subsidence mapping reveals widespread loss of aquifer storage capacity. Nat Commun 14, 6180 (2023). https://doi.org/10.1038/s41467-023-41933-z

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Geospatial-Intelligence Agency Global Land Subsidence Mapping Reveals Widespread Groundwater Storage Loss and Supplemental HM0476-21-1-0001

How to Cite

Hasan, M. F., R. Smith, S. Vajedian, R. Pommerenke, S. Majumdar (2023). Global Land Subsidence Mapping Reveals Widespread Loss of Aquifer Storage Capacity Datasets, HydroShare, https://doi.org/10.4211/hs.dc7c5bfb3a86479b889d3b30ab0e4ef7

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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