Development of a coupled hydro-economic model to support groundwater irrigation decisions

dc.contributor.authorTian, Boyao
dc.contributor.authorBrookfield, Andrea
dc.contributor.authorInsley, Margaret
dc.date.accessioned2026-06-02T14:20:04Z
dc.date.available2026-06-02T14:20:04Z
dc.date.issued2026-04-03
dc.description© 2026 Tian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractGroundwater sustains global agriculture but faces significant pressure from overexploitation, threatening long-term water security. Achieving a balance between agricultural productivity and sustainable groundwater use requires decision-support tools that can integrate hydrologic and economic information and be adapted to different farm and aquifer conditions. This study develops an accessible farm-level hydro-economic model that links groundwater dynamics with economic outcomes to evaluate irrigation strategies under regulatory and physical constraints. The model estimates land value over time while incorporating uncertain precipitation, irrigation practices, and regulatory limits. This research presents a novel application of Conditional Value-at-Risk to assess economic risk of groundwater irrigation by focusing on the tail of the probability curve, emphasizing potential extreme adverse outcomes rather than average performance. Applied to a representative High Plains Aquifer site, the model shows that more pumping does not guarantee greater profitability, as diminishing returns and aquifer depletion can undermine long-term benefits. Instead, irrigation strategies aligned with site-specific aquifer properties and regulatory thresholds improve both economic performance and sustainability. This scalable approach provides a useful framework to inform irrigation policy, support farmer decision-making, and promote sustainable groundwater under growing uncertainty.
dc.description.sponsorshipUniversity of Waterloo Water Institute, Seed Grant || University of Waterloo, Trailblazer Award || Natural Sciences and Engineering Research Council of Canada, Discovery Grant.
dc.identifier.urihttps://doi.org/10.1371/journal.pwat.0000452
dc.identifier.urihttps://hdl.handle.net/10012/23503
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS Water; 5(4); e0000452
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectlift irrigation
dc.subjectcrops
dc.subjectMonte Carlo method
dc.subjectsustainable agriculture
dc.subjectmedical risk factors
dc.subjectagricultural economics
dc.subjectrain
dc.subjectsustainability science
dc.titleDevelopment of a coupled hydro-economic model to support groundwater irrigation decisions
dc.typeArticle
dcterms.bibliographicCitationTian B, Brookfield A, Insley M (2026) Development of a coupled hydro-economic model to support groundwater irrigation decisions. PLOS Water 5(4): e0000452. https://doi.org/10.1371/journal.pwat.0000452
uws.contributor.affiliation1Faculty of Environment
uws.contributor.affiliation1Faculty of Arts
uws.contributor.affiliation2Earth and Environmental Sciences
uws.contributor.affiliation2Economics
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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