Combining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin

cg.contacthayot_i@yahoo.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Water Management Institute - IWMIen_US
cg.contributor.centerKhorezm Rural Advisory Support Service - KRASSen_US
cg.contributor.centerUniversity of Bonn, Center for Development Research - Uni-Bonn - ZEFen_US
cg.contributor.centerMartin-Luther-University Halle-Wittenberg, Faculty of Sciences III, Institute of Geosciences and Geography - Uni-Halle - NATFAK 3- GEOen_US
cg.contributor.funderVolkswagen Foundationen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.admin-unitAlmatı oblısıen_US
cg.coverage.countryKZen_US
cg.coverage.countryKGen_US
cg.coverage.countryTJen_US
cg.coverage.countryTMen_US
cg.coverage.countryUZen_US
cg.coverage.geolocationLatitude: 43.33004032577183; Longitude: 76.87233383987643en_US
cg.coverage.regionCentral Asiaen_US
cg.creator.idAwan, Usman: 0000-0001-8663-5688en_US
cg.creator.idAkramkhanov, Akmal: 0000-0002-4316-5580en_US
cg.identifier.doihttps://dx.doi.org/10.29258/CAJWR/2019-R1.v5-2/64-81engen_US
cg.issn2522-9060en_US
cg.issue2en_US
cg.journalCentral Asian Journal of Water Researchen_US
cg.subject.agrovocirrigationen_US
cg.subject.agrovocaral seaen_US
cg.volume5en_US
dc.contributorAwan, Usmanen_US
dc.contributorSultanov, Murodjonen_US
dc.contributorAkramkhanov, Akmalen_US
dc.contributorDjumaboev, Kakhramonen_US
dc.contributorConrad, Christopheren_US
dc.contributorLamers, Johannesen_US
dc.creatorIbrakhimov, Mirzakhayoten_US
dc.date.accessioned2021-03-17T23:18:31Z
dc.date.available2021-03-17T23:18:31Z
dc.description.abstractAccurate assessment of the soil salinization is an important step for mitigation of agricultural land degradation. Remote sensing (RS) is widely used for salinity assessment, but knowledge on prediction precision is lacking. ARS-based salinity assessment in Khorezm allows for modest reliable prediction with weak (R2=0.15–0.29) relationship of the salinity maps produced with RS and interpolation of electromagnetic EM38 during growth periods and more reliable (R2=0.35–0.56) beyond irrigation periods. Modeling with HYDRUS-1D at slightly, moderately and highly saline sites at various depths showed that irrigation forces salts to move to deeper layers: salts reappear in the upper profile during dry periods. Beyond irrigation events, salts gradually accumulated in the upper soil layers without fluctuations. Coupling RS techniques with numerical modeling provided better insight into salinity dynamics than any of these approaches alone. This should be of interest to farmers and policy makers since the combination of methods will allow for better planning and management.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/c9bf3688e6f4a4e3319a30327922d88e/v/c3f7c4c4a084db8ef414fee63543a5b4en_US
dc.identifier.citationMirzakhayot Ibrakhimov, Usman Awan, Murodjon Sultanov, Akmal Akramkhanov, Kakhramon Djumaboev, Christopher Conrad, Johannes Lamers. (27/5/2020). Combining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin. Central Asian Journal of Water Research, 5 (2), pp. 100-116.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12689
dc.languageenen_US
dc.languageruen_US
dc.publisherKazakh-German Universityen_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourceCentral Asian Journal of Water Research;5,(2020) Pagination 100-116en_US
dc.subjecthydrus-1den_US
dc.subjectsalt transport modelingen_US
dc.subjectland salinizationen_US
dc.titleCombining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basinen_US
dc.typeJournal Articleen_US
dcterms.available2020-05-27en_US
dcterms.extent100-116en_US

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