Publication:
Evapotranspiration mapping with metric to evaluate effectiveness of irrigation in flood mitigation for the Devils Lake Basin

dc.contributor.authorSteele, Dean D.
dc.contributor.authorTuscherer, Sheldon R.
dc.contributor.authorHopkins, David G.
dc.contributor.authorJia, Xinhua
dc.contributor.buuauthorBüyükcangaz, Hakan
dc.contributor.departmentBiyosistem Mühendisliği Bölümü
dc.contributor.researcheridAAH-2934-2021
dc.contributor.scopusid6504449925
dc.date.accessioned2023-02-09T13:23:29Z
dc.date.available2023-02-09T13:23:29Z
dc.date.issued2017
dc.description.abstractA period of excess precipitation since 1993 in the Devils Lake basin in northeastern North Dakota has caused extensive flooding of agricultural land and has raised the question of whether irrigation of agricultural crops to increase evapotranspiration (ET) might be an effective way to remove water from the basin. The objectives of this study were to compare ET estimates derived from application of the Mapping ET at High Resolution with Internalized Calibration (METRIC) algorithm for North Dakota conditions (METRICND) under irrigated and rainfed conditions and to assess the potential for irrigation to increase crop ET as a flood mitigation strategy. Weather data, land use maps, and Landsat 5 Thematic Mapper imagery from 2006, 2007, and 2008 were used as inputs to the METRICND model. The ET for irrigated crops (ETIrrigated) was estimated at five test sites from the Devils Lake Basin Water Utilization Test Project (DLBWUTP). The ET for the predominantly rainfed study area (ETRainfed) was estimated using land use maps to identify locations of the same crops as were present on the test sites. The METRICND model was compared to ET values derived from an eddy covariance (EC) system for approximately two months in 2007 at an irrigated alfalfa test site in the DLBWUTP; the mean absolute error between METRICND and the EC system for the comparison period was 0.51 mm d(-1). Linear regression of ET (in mm) for the test sites and the larger study area yielded ETIrrigated = 1.23 x ETRainfed + 4.77 with R-2 = 0.96, and a t-statistic indicated that the slope was greater than 0 at p = 0.001, indicating the potential for increased ET under irrigation. However, addition of large volumes of irrigation water to the predominantly poorly drained soils in the basin will cause waterlogging and trafficability problems. Installation of subsurface drainage may help alleviate waterlogging, improve crop productivity, and increase ET, but subsurface drainage brings its own complications of disposal of the drained water, salinity of the drainage effluent, and possible sodicity problems on some soils.
dc.description.sponsorshipNorth Dakota State Water Commission
dc.description.sponsorshipNorth Dakota Agricultural Experiment Station - NDAES
dc.description.sponsorshipDevils Lake Basin Joint Water Resource Board
dc.description.sponsorshipUnited States Department of Agriculture (USDA)
dc.description.sponsorshipNatural Resources Conservation Service - NRCS
dc.identifier.citationBüyükcangaz, H. vd. (2017). ''Evapotranspiration mapping with metric to evaluate effectiveness of irrigation in flood mitigation for the Devils Lake Basin''. Transactions of the ASABE, 60(5), 1575-1591.
dc.identifier.endpage1591
dc.identifier.issn2151-0032
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85037031726
dc.identifier.startpage1575
dc.identifier.urihttps://elibrary.asabe.org/abstract.asp?AID=48470&t=3&dabs=Y&redir=&redirType=
dc.identifier.urihttps://doi.org/10.13031/trans.12149
dc.identifier.uri2151-0040
dc.identifier.urihttp://hdl.handle.net/11452/30950
dc.identifier.volume60
dc.identifier.wos000413277100015
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherAmer Soc Agricultural & Biological Engineers
dc.relation.collaborationYurt dışı
dc.relation.journalTransactions of the ASABE
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAgriculture
dc.subjectDrainage
dc.subjectEvapotranspiration mapping
dc.subjectIrrigation
dc.subjectMETRIC
dc.subjectLandsat 5
dc.subjectRemote sensing
dc.subjectSatellite imagery
dc.subjectSEBAL
dc.subjectEnergy balance algorithm
dc.subjectCorn
dc.subjectFluxes
dc.subjectCoefficients
dc.subjectTm
dc.subjectSebal model
dc.subjectCalibration
dc.subjectDevils lake
dc.subjectNorth dakota
dc.subjectUnited states
dc.subjectCrops
dc.subjectEffluents
dc.subjectEvapotranspiration
dc.subjectFloods
dc.subjectGroundwater flow
dc.subjectLakes
dc.subjectLand use
dc.subjectMapping
dc.subjectRemote sensing
dc.subjectSatellite imagery
dc.subjectSoil moisture
dc.subjectWater supply
dc.subjectAgricultural crops
dc.subjectFlood mitigation strategies
dc.subjectLandsat-5
dc.subjectMean absolute error
dc.subjectPoorly drained soils
dc.subjectSubsurface drainage
dc.subjectAgricultural land
dc.subjectAlfalfa
dc.subjectCalibration
dc.subjectDrainage network
dc.subjectEddy covariance
dc.subjectEvapotranspiration
dc.subjectFlood control
dc.subjectIrrigation system
dc.subjectMitigation
dc.subjectPrecipitation assessment
dc.subjectRainfed agriculture
dc.subjectRemote sensing
dc.subjectWaterlogging
dc.subjectMedicago sativa
dc.subject.scopusRemote Sensing; Latent Heat Flux; Crop Coefficient
dc.subject.wosAgricultural engineering
dc.titleEvapotranspiration mapping with metric to evaluate effectiveness of irrigation in flood mitigation for the Devils Lake Basin
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentBiyosistem Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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