Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.5194/hess-28-899-2024
Lizenz creative commons licence
Titel (primär) Representing farmer irrigated crop area adaptation in a large-scale hydrological model
Autor Yoon, J.; Voisin, N.; Klassert, C.; Thurber, T.; Xu, W.
Quelle Hydrology and Earth System Sciences
Erscheinungsjahr 2024
Department OEKON
Band/Volume 28
Heft 4
Seite von 899
Seite bis 916
Sprache englisch
Topic T5 Future Landscapes
Daten-/Softwarelinks https://doi.org/10.5281/zenodo.10689596
Supplements https://hess.copernicus.org/articles/28/899/2024/hess-28-899-2024-supplement.pdf
Abstract Large-scale hydrological models (LHMs) are commonly used for regional and global assessment of future water shortage outcomes under climate and socioeconomic scenarios. The irrigation of croplands, which accounts for the lion's share of human water consumption, is critical in understanding these water shortage trajectories. Despite irrigation's defining role, LHM frameworks typically impose trajectories of land use that underlie irrigation demand, neglecting potential dynamic feedbacks in the form of human instigation of and subsequent adaptation to water shortages via irrigated crop area changes. We extend an LHM, MOSART-WM, with adaptive farmer agents, applying the model to the continental United States to explore water shortage outcomes that emerge from the interplay between hydrologic-driven surface water availability, reservoir management, and farmer irrigated crop area adaptation. The extended modeling framework is used to conduct a hypothetical computational experiment comparing differences between a model run with and without the incorporation of adaptive farmer agents. These comparative simulations reveal that accounting for farmer adaptation via irrigated crop area changes substantially alters modeled water shortage outcomes, with US-wide annual water shortages being reduced by as much as 42 % when comparing adaptive and non-adaptive versions of the model forced with US climatology from the period 1950–2009.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28890
Yoon, J., Voisin, N., Klassert, C., Thurber, T., Xu, W. (2024):
Representing farmer irrigated crop area adaptation in a large-scale hydrological model
Hydrol. Earth Syst. Sci. 28 (4), 899 - 916 10.5194/hess-28-899-2024