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Modeling the Effects of Artificial Drainage on Agriculture-Dominated Watersheds Using a Fully Distributed Integrated Hydrology Model

dc.contributor.authorRathore, Saubhagya S.en
dc.contributor.authorSvyatsky, Daniil S.en
dc.contributor.authorCoon, Ethan T.en
dc.contributor.authorSon, Kyonghoen
dc.contributor.authorPainter, Scott L.en
dc.date.accessioned2025-03-28T18:22:37Z
dc.date.available2025-03-28T18:22:37Z
dc.date.issued2024en
dc.description.abstractIn agriculture-dominated watersheds where natural drainage is poor, agricultural ditches (narrow engineered channels) and tile drains (perforated pipes) are widely employed to enhance surface and subsurface drainage, respectively. Despite their relatively small scale, these features exert substantial control over the hydro-biogeochemical function of watersheds and their effects need to be represented in the models. We introduce a novel strategy to incorporate the effects of artificial agricultural drainage into a fully distributed basin-scale integrated surface-subsurface hydrology models. In our approach, narrow agriculture ditches for surface drainage are resolved efficiently using ditch-aligned computational meshes that are hydrologically conditioned to ensure connectivity in the stream/ditch network. For tile drainage in the subsurface, we use the physically based Hooghoudt's drainage equation as a subgrid model and route the water drained through tiles to the nearest ditch. Without site-specific calibration, this model reproduced observed streamflow in the Portage River Watershed (>1,000 km2) as recorded by a USGS gauge with good accuracy (normalized KGE = 0.81) and outperformed a calibrated SWAT model (normalized KGE = 0.68). Numerical experiments confirm that artificial drainage reduces surface inundations and effectively controls the water table. At the watershed scale, artificial drainage increases baseflow but has little effect on watershed discharges above the 90th percentile. The strong physical underpinnings and reduced need for calibration allow us to study the impacts of artificial drainage on distributed hydrological response in terms of fluxes and states and provide a platform for investigating watershed-scale nutrient transport.en
dc.description.sponsorshipThis study was funded by U.S. Department of Energy, Office of Science, Biological and Environmental Research program and is a product of the COMPASS-Great Lakes Modeling project. Computing resources for this work were provided through the U.S. Department of Energy's ASCR Leadership Computing Challenge award, \u201CAdvancing Watershed System Science using ML and Process-based Simulation\u201D provided at the DOE Office of Science's user facility, National Energy Research Scientific Computing Center (ALCC-ERCAP0025400). We thank Dr. Jesus Gomez Velez for reviewing this manuscript. We also thank the editor, associate editor and three anonymous reviewers for their constructive feedback.\u00A0This manuscript has been authored by staff from UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-%20access-plan). This study was funded by U.S. Department of Energy, Office of Science, Biological and Environmental Research program and is a product of the COMPASS\u2010Great Lakes Modeling project. Computing resources for this work were provided through the U.S. Department of Energy's ASCR Leadership Computing Challenge award, \u201CAdvancing Watershed System Science using ML and Process\u2010based Simulation\u201D provided at the DOE Office of Science's user facility, National Energy Research Scientific Computing Center (ALCC\u2010ERCAP0025400). We thank Dr. Jesus Gomez Velez for reviewing this manuscript. We also thank the editor, associate editor and three anonymous reviewers for their constructive feedback. This manuscript has been authored by staff from UT\u2010Battelle, LLC, under contract DE\u2010AC05\u201000OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid\u2010up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe\u2010public\u2010%20access\u2010plan ).en
dc.description.statustrueen
dc.identifier.otherScopus:85195107369en
dc.identifier.urihttps://dspace-test.anu.edu.au/handle/1885/733744713
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85195107369&partnerID=8YFLogxKen
dc.language.isoEnglishen
dc.rightsPublisher Copyright: © 2024 Oak Ridge National Laboratory. Battelle Memorial Institute and The Authors.en
dc.sourceWater Resources Researchen
dc.subjectagricultural watershedsen
dc.subjectartificial drainageen
dc.subjectditchesen
dc.subjecthydrologyen
dc.subjectmodelen
dc.subjecttile drainen
dc.titleModeling the Effects of Artificial Drainage on Agriculture-Dominated Watersheds Using a Fully Distributed Integrated Hydrology Modelen
dc.typeArticleen
local.contributor.affiliationRathore, Saubhagya S.; Oak Ridge National Laboratoryen
local.contributor.affiliationSvyatsky, Daniil S.; Los Alamos National Laboratoryen
local.contributor.affiliationCoon, Ethan T.; Oak Ridge National Laboratoryen
local.contributor.affiliationSon, Kyongho; Pacific Northwest National Laboratoryen
local.contributor.affiliationPainter, Scott L.; Oak Ridge National Laboratoryen
local.identifier.citationvolume60en
local.identifier.doi10.1029/2023WR035993en
local.identifier.puref8f67710-7530-4656-bc18-ae209684d322en
local.type.statusPublisheden

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