1998
DOI: 10.1002/(sici)1099-1085(19980630)12:8<1219::aid-hyp613>3.0.co;2-q
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An integrated, physically based model for arid region flash flood prediction capable of simulating dynamic transmission loss

Abstract: Abstract:This paper outlines a physically based model developed for prediction of both arid region¯ash¯oods and associated transmission loss. It is based on coupling numerical solutions of the St Venant equations and the kinematic wave equation for channel and overland¯ow routing, respectively, with the Richards' equation for the determination of in®ltration. These hydrological components are integrated in one comprehensive model for the above-mentioned purposes. The robustness of the model and its components … Show more

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Cited by 55 publications
(36 citation statements)
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References 18 publications
(10 reference statements)
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“…However, monitoring of surface flow in dryland rivers is difficult in many regions, due to often low population density, the remoteness of hydrological stations and the inherent short duration of runoff (El-Hames and Richards, 1998). Moreover, extreme climatic variation from year to year, especially variation in annual precipitation, increases the problems of constructing probabilistic models (El-Hames and Richards, 1998). In this context, process-oriented hydrological models parameterized from field measurements and geo-database maps may be the most suitable or indeed the inevitable tool to predict both streamflow and channel transmission losses (e.g.…”
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confidence: 99%
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“…However, monitoring of surface flow in dryland rivers is difficult in many regions, due to often low population density, the remoteness of hydrological stations and the inherent short duration of runoff (El-Hames and Richards, 1998). Moreover, extreme climatic variation from year to year, especially variation in annual precipitation, increases the problems of constructing probabilistic models (El-Hames and Richards, 1998). In this context, process-oriented hydrological models parameterized from field measurements and geo-database maps may be the most suitable or indeed the inevitable tool to predict both streamflow and channel transmission losses (e.g.…”
mentioning
confidence: 99%
“…In this context, process-oriented hydrological models parameterized from field measurements and geo-database maps may be the most suitable or indeed the inevitable tool to predict both streamflow and channel transmission losses (e.g. El-Hames and Richards, 1998;Lange et al, 1999;Gheith and Sultan, 2002;Lange, 2005;Costelloe et al, 2006;Morin et al, 2009).…”
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confidence: 99%
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