Modeling water resources and variability in the Lower Jordan River Basin: Learning from the present for the future (Briefing 2.8)

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dc.contributor Universität Tübingen / Abteilung Vegetationsökologie de_CH
dc.contributor BMBF; Albert-Ludwigs-University of Freiburg, Chair of Hydrology de_DE Gunkel, Anne de_DE Lange, Jens de_DE 2013-07-10 de_DE 2014-03-17T11:33:40Z 2013-07-10 de_DE 2014-03-17T11:33:40Z 2013 de_DE
dc.identifier.other 390780561 de_DE
dc.identifier.uri de_DE
dc.description.abstract TRAIN-ZIN, a hydrological model developed for semi-arid areas, supports water management decisions by providing spatially-distributed estimations of all water balance and wadi runoff elements (Gunkel & Lange 2011). An application in the Lower Jordan River Basin (LJRB) provides an inaugural basin-wide view of the availability of water resources without human intervention. By analyzing the natural variability in the basin given by a wet, an average, and a dry season, the two most significant findings are: (1) Percolation and surface (wadi) runoff are highly variable in extreme events and considerably reduced during drought years. In contrast, the amount of water lost by evaporation is more constant.(2) Present-day variability is so high that that of future seasons will likely be within the same range, even under climate change conditions. A combination of the results from present-day climatic variability with present and future water demand can therefore be used to optimize water management in the region. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri de_DE
dc.rights.uri en
dc.subject.classification Modellierung , Hydrologie , Jordan , Wadi , Perkolation , Wasserhaushalt , Abfluss , Klimaänderung de_DE
dc.subject.ddc 333.7 de_DE
dc.subject.other Hydrological modelling , Jordan River basin , Percolation , Surface runoff , TRAIN-ZIN , Water balance components , Rainfall , Evapotranspiration en
dc.title Modeling water resources and variability in the Lower Jordan River Basin: Learning from the present for the future (Briefing 2.8) en
dc.type Other de_DE
utue.publikation.fachbereich Sonstige/Externe de_DE
utue.publikation.fakultaet 9 Sonstige / Externe de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ report de_DE 6888 de_DE
utue.opus.portal glowa de_DE
utue.opus.portalzaehlung 0.00000 de_DE


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