Semidistributed Hydrologic Model for Flood Risk Assessment in the Pejibaye River Basin, Costa Rica

Gonzalo, Carlos de; Robredo, José Carlos; Mintegui, Juan Á.

doi:10.1061/(asce)he.1943-5584.0000568

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…An example of an EWS focused on the hazard and the personal and economic losses is shown in Ritter et al [27]. Within this context, the base of a flood EWS is the hydrological model component, which transforms rainfall in runoff, which determines the extent of the flood in rain-dominated systems [28,29]. The hydrological component can be focused on continuous modelling or on single event applications.…”

Section: Introductionmentioning

confidence: 99%

“…This can be an important constraint, especially in poorly gauged basins, because the accurate development of the approach requires a complex data set [30]. The single event approach usually has a lower number of variables involved and it is only focused on individual and concrete events [29,31]. Although single-event approaches also need to be calibrated, the need for a lower number of parameters allows the approach to be applied in a greater number of situations.…”

Section: Introductionmentioning

confidence: 99%

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MIDAS: A New Integrated Flood Early Warning System for the Miño River

Fernández-Nóvoa

García-Feal

González-Cao

et al. 2020

Water

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Early warning systems have become an essential tool to mitigate the impact of river floods, whose frequency and magnitude have increased during the last few decades as a consequence of climate change. In this context, the Miño River Flood Alert System (MIDAS) early warning system has been developed for the Miño River (Galicia, NW Spain), whose flood events have historically caused severe damage in urban areas and are expected to increase in intensity in the next decades. MIDAS is integrated by a hydrologic (HEC-HMS) and a hydraulic (Iber+) model using precipitation forecast as input data. The system runs automatically and is governed by a set of Python scripts. When any hazard is detected, an alert is issued by the system, including detailed hazards maps, to help decision makers to take precise and effective mitigation measures. Statistical analysis supports the accuracy of hydrologic and hydraulic modules implemented to forecast river flow and flooded critical areas during the analyzed period of time, including some of the most extreme events registered in the Miño River. In fact, MIDAS has proven to be capable of predicting most of the alert situations occurred during the study period, showing its capability to anticipate risk situations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MIDAS: A New Integrated Flood Early Warning System for the Miño River

Fernández-Nóvoa

García-Feal

González-Cao

et al. 2020

Water

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“…The use of SCS UH and Clark's IUH, based on lumped modeling, can be found in some studies at the watershed level in different regions worldwide (WAŁĘGA, 2013; SILVA; WEERAKOON; HERATH, 2014; DU et al, 2015; DARIANE; JAVADIANZADEH; JAMES, FOULI et al, 2016;IBRAHIM-BATHIS;AHMED, 2016;MASOUD, 2016;BESKOW et al, 2018). On the other hand, there are few studies intended for evaluation of such models according to a semi-distributed approach (GONZALO;ROBREDO;MINTEGUI, 2012;JOO et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatial discretization influence on flood modeling using unit hydrograph theory

Steinmetz

Beskow

Terra

et al. 2019

RBRH

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The Unit Hydrograph (UH) is the most popular method for flood related applications. There are several conceptual and geomorphological models based on UH and coupled with different spatial discretizations. However, there are few studies concerning the evaluation of UH models according to semi-distributed approaches. This study aimed to assess the influence of lumped and semi-distributed modeling on the applicability of Soil Conservation Service UH (SCS UH) and Clark’s Instantaneous UH (Clark’s IUH) for estimation of flood hydrographs. The methodological procedures were conducted in the Hydrological Modeling System (HEC-HMS) using rainfall-runoff events of a gauged watershed in Southern Brazil. The main conclusions were: a) CIUH under the semi-distributed approach provided slightly superior performance; b) CIUH was able to effectively estimate the direct surface runoff hydrographs even for long duration rainfall events; c) SCS UH presented more accurate hydrographs for lumped modeling; d) the Nelder and Mead algorithm may have limited application.

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