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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URI: http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-68881
http://hdl.handle.net/10900/44142
Dokumentart: Other
Date: 2013
Language: English
Faculty: 9 Sonstige / Externe
Department: Sonstige/Externe
DDC Classifikation: 333.7 - Natural resources and energy
Keywords: Modellierung , Hydrologie , Jordan , Wadi , Perkolation , Wasserhaushalt , Abfluss , Klimaänderung
Other Keywords:
Hydrological modelling , Jordan River basin , Percolation , Surface runoff , TRAIN-ZIN , Water balance components , Rainfall , Evapotranspiration
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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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.

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