Development of a coupled hydro-economic model to support groundwater irrigation decisions
| dc.contributor.author | Tian, Boyao | |
| dc.contributor.author | Brookfield, Andrea | |
| dc.contributor.author | Insley, Margaret | |
| dc.date.accessioned | 2026-06-02T14:20:04Z | |
| dc.date.available | 2026-06-02T14:20:04Z | |
| dc.date.issued | 2026-04-03 | |
| 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.abstract | Groundwater 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.sponsorship | University of Waterloo Water Institute, Seed Grant || University of Waterloo, Trailblazer Award || Natural Sciences and Engineering Research Council of Canada, Discovery Grant. | |
| dc.identifier.uri | https://doi.org/10.1371/journal.pwat.0000452 | |
| dc.identifier.uri | https://hdl.handle.net/10012/23503 | |
| dc.language.iso | en | |
| dc.publisher | Public Library of Science | |
| dc.relation.ispartofseries | PLoS Water; 5(4); e0000452 | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | lift irrigation | |
| dc.subject | crops | |
| dc.subject | Monte Carlo method | |
| dc.subject | sustainable agriculture | |
| dc.subject | medical risk factors | |
| dc.subject | agricultural economics | |
| dc.subject | rain | |
| dc.subject | sustainability science | |
| dc.title | Development of a coupled hydro-economic model to support groundwater irrigation decisions | |
| dc.type | Article | |
| dcterms.bibliographicCitation | Tian 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.affiliation1 | Faculty of Environment | |
| uws.contributor.affiliation1 | Faculty of Arts | |
| uws.contributor.affiliation2 | Earth and Environmental Sciences | |
| uws.contributor.affiliation2 | Economics | |
| uws.peerReviewStatus | Reviewed | |
| uws.scholarLevel | Faculty | |
| uws.typeOfResource | Text | en |