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Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water
Seyed-Mohammad Hosseini-Moghari1, Shahab Araghinejad2, Kumars Ebrahimi3
1Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
A new method, MTWSDI, improves drought monitoring using GRACE data by separating human impacts from climate signals. This approach offers a more accurate assessment of water storage anomalies for better water resource management.
Area of Science:
- Hydrology
- Climate Science
- Remote Sensing
Background:
- Total Water Storage Anomaly (TWSA) from GRACE is crucial for drought monitoring.
- The widely used Total Water Storage Deficit Index (TWSDI) can be inconsistent with meteorological data due to trends from human water use.
Purpose of the Study:
- To develop a modified TWSDI (MTWSDI) that distinguishes between anthropogenic and climate-driven components of TWSA.
- To introduce a deficit-based method for assessing drought severity and recovery time using GRACE data.
Main Methods:
- Decomposition of GRACE TWSA into anthropogenic and climatic components.
- Application of MTWSDI and deficit-based methods in the Ganges-Brahmaputra and Markazi basins.
- Comparison of MTWSDI with meteorological drought indices.
Main Results:
- MTWSDI showed improved consistency with meteorological drought indices in both study basins.
- The deficit-based method quantified annual water deficits, revealing significant anthropogenic contributions.
- Anthropogenic water deficits were equivalent to moderate to abnormally dry conditions annually in the studied basins.
Conclusions:
- MTWSDI offers a more reliable approach to drought monitoring by accounting for human water use impacts.
- Unsustainable water use is creating perpetual, accelerated anthropogenic droughts in the studied regions.
- Addressing these trends is critical to prevent basin depletion and socio-economic challenges.
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