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Global land subsidence mapping reveals widespread loss of aquifer storage capacity

Earth Sciences

Global land subsidence mapping reveals widespread loss of aquifer storage capacity

M. F. Hasan, R. Smith, et al.

Groundwater overdraft leads to alarming land subsidence and loss of vital groundwater storage. This groundbreaking study employs machine learning and remote sensing to predict global subsidence magnitude with a spatial resolution of ~2 km. Authored by Md Fahim Hasan, Ryan Smith, Sanaz Vajedian, Rahel Pommerenke, and Sayantan Majumdar, the findings reveal a staggering global aquifer storage loss of -17 km³/year, predominantly affecting cropland and urban environments.

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Playback language: English
Abstract
Groundwater overdraft causes land subsidence and permanent groundwater storage loss. This study uses a machine learning approach with remote sensing and model-based datasets to predict global land subsidence magnitude at high spatial resolution (~2 km). The model estimates a global aquifer storage loss of -17 km³/year, with 73% of subsidence occurring over cropland and urban areas. The results aid in assessing subsidence in known areas and locating unknown groundwater-stressed regions.
Publisher
Nature Communications
Published On
Oct 04, 2023
Authors
Md Fahim Hasan, Ryan Smith, Sanaz Vajedian, Rahel Pommerenke, Sayantan Majumdar
Tags
Groundwater overdraft
Land subsidence
Machine learning
Remote sensing
Aquifer storage loss
Spatial resolution
Cropland
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