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Combining remote sensing and hydrological modeling for assessing the dynamics of soil salinity in the Aral Sea Basin

Ibrakhimov, Mirzahayot und Sultanov, Murod und Conrad, Christopher und Lamers, John (2018) Combining remote sensing and hydrological modeling for assessing the dynamics of soil salinity in the Aral Sea Basin. Volkswagen Status Conference Between Europe and the Orient, 2018-04-16 - 2018-04-19, Almaty.

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Kurzfassung

Land salinization threatens sustainability of irrigated agriculture. It severely limits land productivity and hence rural livelihoods in the Aral Sea Basin (ASB). Sound monitoring and mapping techniques are required to define proper management countermeasures. However, traditional salinity monitoring methods are resource and time demanding yet limited in spatial and temporal coverage. This study aimed at assessing the predictive quality of soil salinity assessment with remote sensing (RS) tools in the basin’s irrigated areas. Salinity was assessed indirectly, from vegetation indices estimated from Landsat 5TM imagery in 75.5 ha irrigated area during 2008-2009. To assess the precision of salinity prediction, the HYDRUS-1D model was employed based on in-situ sampling for soil EC at depths of 0-30, 30-90 and >100 cm, measurements of groundwater depth and EC, irrigation amounts and evapotranspiration (FAO-56) from climate data. Daily salinity dynamics were modelled in slightly, moderately and highly saline spots, identified in the RS maps. The findings showed that an RS-based salinity assessment alone allows for modest reliable prediction only: the relationship of the salinity maps and empirical data collected with an electromagnetic EM38 device were weak (R2=0.15-0.29) during, but became more reliable (R2=0.35-0.56) beyond irrigation periods. Salinity modelling with HYDRUS-1D at slightly, moderately and highly saline sites at various depths underlined that under present irrigation and drainage infrastructure, salts tend to only move to deeper layers during water applications, but reappear in the profile during dry periods. In contrast, beyond irrigation events, salts gradually increased in the upper soil layers without fluctuations. We argue that coupling RS techniques with numerical modelling provided valuable insight into within-season salinity dynamics than any of these approaches alone. This should be of interest to farmers and policy makers in the ASB since the combination of methods will allow for better planning and management of melioration measures.

elib-URL des Eintrags:https://elib.dlr.de/125729/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Combining remote sensing and hydrological modeling for assessing the dynamics of soil salinity in the Aral Sea Basin
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Ibrakhimov, MirzahayotNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Sultanov, MurodNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Conrad, ChristopherChristopher.Conrad (at) uni-wuerzburg.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lamers, JohnCenter for Development Research (ZEF)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2018
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:remote sensing, hydrological modeling, dynamics of soil salinity, Aral Sea Basin
Veranstaltungstitel:Volkswagen Status Conference Between Europe and the Orient
Veranstaltungsort:Almaty
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:16 April 2018
Veranstaltungsende:19 April 2018
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum
Hinterlegt von: Wöhrl, Monika
Hinterlegt am:08 Jan 2019 13:12
Letzte Änderung:24 Apr 2024 20:29

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