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Published on: June 8, 2015
Distinguishing Direct Human-Driven Effects on the Global Terrestrial Water Cycle
Elisie Kåresdotter1, Georgia Destouni1, Navid Ghajarnia1
1Department of Physical Geography and Bolin Centre for Climate Research Stockholm University Stockholm Sweden.
Human activities significantly alter global water resources, impacting water availability more than climate change in many regions. Understanding these human-driven hydrological changes is crucial for effective water management and planning.
Area of Science:
- Hydrology
- Environmental Science
- Climate Change Research
Background:
- Population growth intensifies pressure on global water resources.
- Distinguishing human impacts from climate-driven changes is vital for water management.
- Previous studies have not fully disentangled these influences across key hydrological variables.
Purpose of the Study:
- To quantify and differentiate human-driven hydrological changes from climate-driven changes.
- To analyze the spatial variability and regional patterns of these effects globally.
- To improve assessment and planning for societal water availability impacts.
Main Methods:
- Utilized a gridded global hydrological model (water balance model).
- Quantified changes in four key water balance variables: evapotranspiration, runoff, soil moisture, and storage change.
- Compared model scenarios with and without human interventions (dams, withdrawals).
Main Results:
- Human activities demonstrably drive changes in all analyzed hydrological variables.
- The magnitude and direction of human-driven changes vary significantly by geographical location.
- Impacts were most pronounced in densely populated regions with extensive irrigation infrastructure, showing water removal from storage.
Conclusions:
- Human activities are a dominant driver of hydrological change globally, often exceeding climate influences.
- The findings highlight the need for targeted water management strategies considering localized human impacts.
- This research provides a comprehensive framework for future water resource assessment, especially in data-limited areas.
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