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Development of a thresholds approach for real‐time flash flood prediction in complex geomorphological river basins

Kourgialas Nektarios, Karatzas Giorgos, Nikolaidis Nikolaos

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/12EFE9A8-8C40-4E9D-8FD0-F92C02D5103D
Έτος 2012
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
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Βιβλιογραφική Αναφορά N. N. Kourgialas , G. P. Karatzas and N. P. Nikolaidis, "Development of a thresholds approach for real‐time flash flood prediction in complex geomorphological river basins," Hydrological Processes, vol. 26, no. 10, pp. 1478-1494, May 2012. doi: 10.1002/hyp.8272 https://doi.org/ 10.1002/hyp.8272
Εμφανίζεται στις Συλλογές

Περίληψη

Flash floods represent one of the deadliest and costliest natural disasters worldwide. The hydrological analysis of a flash flood event contributes in the understanding of the runoff creation process. This study presents the analysis of some flash flood events that took place in a complex geomorphological Mediterranean River basin. The objective of the present work is to develop the thresholds for a real-time flash flood forecasting model in a complex geomorphological watershed, based on high-frequency data from strategically located hydrological and meteorological telemetric stations. These stations provide hourly real-time data which were used to determine hydrological and meteorological parameters. The main characteristics of various hydrographs specified in this study were the runoff coefficients, lag time, time to peak, and the maximum potential retention. The estimation of these hydrometeorological parameters provides the necessary information in order to successfully manage flash floods events. Especially, the time to peak is the most significant hydrological parameter that affects the response time of an oncoming flash flood event. A study of the above parameters is essential for the specification of thresholds which are related to the geomorphological characteristics of the river basin, the rainfall accumulation of an event, the rainfall intensity, the threshold runoff through karstic area, the season during which the rainfall takes place and the time intervals between the rainstorms that affect the soil moisture conditions. All these factors are combined into a real-time-threshold flash flood prediction model. Historical flash flood events at the downstream are also used for the validation of the model. An application of the proposed model is presented for the Koiliaris River basin in Crete, Greece.

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