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Distinguishing Direct Human-Driven Effects on the Global Terrestrial Water Cycle
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden..ORCID iD: 0000-0003-3424-3847
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden..ORCID iD: 0000-0001-9408-4425
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden..ORCID iD: 0000-0001-7159-1555
Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA..ORCID iD: 0000-0002-7980-5834
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2022 (English)In: Earth's Future, E-ISSN 2328-4277, Vol. 10, no 8, article id e2022EF002848Article in journal (Refereed) Published
Abstract [en]

Population growth is increasing the pressure on water resource availability. For useful assessment and planning for societal water availability impacts, it is imperative to disentangle the direct influences of human activities in the landscape from external climate-driven influences on water flows and their variation and change. In this study we used the water balance model, a gridded global hydrological model, to quantify and distinguish human-driven change components, modified by interventions such as dams, reservoirs, and water withdrawals for irrigation, industry, and households, from climate-driven change components on four key water balance variables in the terrestrial hydrological system (evapotranspiration, runoff, soil moisture, storage change). We also analyzed emergent effect patterns in and across different parts of the world, facilitating exploration of spatial variability and regional patterns on multiple spatial scales, from pixel to global, including previously uninvestigated parts of the world. Our results show that human activities drive changes in all hydrological variables, with different magnitudes and directions depending on geographical location. The differences between model scenarios with and without human activities were largest in regions with the highest population densities. In such regions, which also have relatively large numbers of dams for irrigation, water largely tends to be removed from storage and go to feed increased runoff and evapotranspiration fluxes. Our analysis considers a more complete set of hydrological variables than previous studies and can guide further research and management planning for future hydrological and water availability trends, including in relatively data-poor parts of the world.

Place, publisher, year, edition, pages
American Geophysical Union (AGU) , 2022. Vol. 10, no 8, article id e2022EF002848
Keywords [en]
global hydrological modeling, human-water interactions, anthropogenic hydrological change, runoff, evapotranspiration, storage change
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:kth:diva-316934DOI: 10.1029/2022EF002848ISI: 000842669200001PubMedID: 36246544Scopus ID: 2-s2.0-85137090494OAI: oai:DiVA.org:kth-316934DiVA, id: diva2:1692281
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QC 20220912

Available from: 2022-09-01 Created: 2022-09-01 Last updated: 2024-03-18Bibliographically approved

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Destouni, GeorgiaKalantari, Zahra

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Karesdotter, ElisieDestouni, GeorgiaGhajarnia, NavidLammers, Richard B.Kalantari, Zahra
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