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

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dc.creatorIbrakhimov, M.
dc.creatorAwan, U. K.
dc.creatorSultanov, M.
dc.creatorAkramkhanov, A.
dc.creatorDjumaboev, Kakhramon
dc.creatorConrad, C.
dc.creatorLamers, J.
dc.date2020-05-27
dc.date2020-06-15T05:36:58Z
dc.date2020-06-15T05:36:58Z
dc.date.accessioned2026-06-27T18:27:34Z
dc.descriptionAccurate 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. A RS-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.
dc.identifierhttps://hdl.handle.net/10568/108474
dc.identifier.urihttp://hdl.handle.net/123456789/156506
dc.languageen
dc.publisherKazakh-German University
dc.rightsOpen Access
dc.sourceIbrakhimov, M.; Awan, U. K.; Sultanov, M.; Akramkhanov, A.; Djumaboev, Kakhramon; Conrad, C.; Lamers, J. 2019. 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):100-116. [doi: https://doi.org/10.29258/CAJWR/2019-R1.v5-2/64-81eng]
dc.subjectsoil salinization
dc.subjectirrigated land
dc.subjectremote sensing
dc.subjectmodelling
dc.subjectforecasting
dc.subjecttechniques
dc.subjectsoil profiles
dc.subjectgroundwater
dc.subjectirrigated farming
dc.subjectcotton
dc.subjectcase studies
dc.titleCombining remote sensing and modeling approaches to assess soil salinity in irrigated areas of the Aral Sea Basin
dc.typeJournal Article

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