Methodologies for generation of hazard indicator maps and flood prone areas: municipality of Ipojuca/PE.

Neto, Alfredo Ribeiro; Batista, Larissa Ferreira David Romão; Coutinho, Roberto Quental

doi:10.21168/rbrh.v21n2.p377-390

Cited by 10 publications

(8 citation statements)

References 24 publications

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“…Several hydraulic indicators can be used to classify the level of flood hazards. Ribeiro Neto et al(2016) recommended the flood hazards mapping by using indicators based on depth and flow velocity. There are five suggested indicators, namely flow depth, flow velocity, energy head, intensity, and flow force.…”

Section: Flood Hazard Indicatorsmentioning

confidence: 99%

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Flood Hazard Mapping in Residential Area Using Hydrodynamic Model HEC-RAS 5.0

Amin

Ilmiaty

Marlina

2020

Geoplanning: Journal of Geomatics and Planning

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The flood hazard rating is one of the essential variables in flood risk analysis. The identification of flood-prone areas urgently requires information about flood hazard zones. This research explains the method to develop flood hazard map by using hydrodynamic modeling in the residential areas. The hydrodynamic model used in this research is HEC-RAS 5.0, which can simulate the one- and two-dimensional flow regimes. The study area is Bukit Sejahtera and Tanjung Rawa residences located in Palembang City with a total area of about 200 ha, where the Lambidaro River was frequently overflowing caused flood inundation in the area. There are five indicators of flood hazard being analyzed, i.e., 1) flood depth, 2) flow velocity, 3) energy head, 4) flow force, which is the result of multiplication between flood depth and the square of flow velocity, and 5) intensity, which is the result of multiplication between flood depth and the flow velocity. The simulation results show that the flood hazard rating in the study area ranges from high to low level. The zones with a high flood hazard rating are dominated by the area around or near to the river, whereas the further zones have a moderate and low level of flood hazard rating. The flood depth indicator has a more significant influence than the flow velocity on the flood hazard level in the study area. This research is expected can contribute to the development of flood map and flood control methods in advance.

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Section: Flood Hazard Indicatorsmentioning

confidence: 99%

“…The influence of hydraulic indicators on flood damages (adapted fromKreibich et al, 2009in Ribeiro Neto et al, 2016 …”

mentioning

confidence: 99%

Flood Hazard Mapping in Residential Area Using Hydrodynamic Model HEC-RAS 5.0

Amin

Ilmiaty

Marlina

2020

Geoplanning: Journal of Geomatics and Planning

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“…The most relevant physical characteristics of flood events are flow velocity, water depth, and duration, which may determine their intensity and destructive capacity, and hence, may provide a measure of its hazard [73,74]. We built flood intensity maps for the 2017 flood event, postprocessing the results from the hydrodynamic simulations in GIS tools and using the flood intensity categories proposed by Cançado et al [75] (Table 3).…”

Section: Flood Hazard Mappingmentioning

confidence: 99%

Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data

Hurtado-Pidal

Triana

Espitia

et al. 2020

Water

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The application of hydrologic and hydrodynamic models in flash flood hazard assessment is mainly limited by the availability of robust monitoring systems and long-term hydro-meteorological observations. Nevertheless, several studies have demonstrated that coupled modeling approaches based on event sampling (short-term observations) may cope with the lack of observed input data. This study evaluated the use of storm events and flood-survey reports to develop and validate a modeling framework for flash flood hazard assessment in data-scarce watersheds. Specifically, we coupled the hydrologic modeling system (HEC-HMS) and the Nays2Dflood hydrodynamic solver to simulate the system response to several storm events including one, equivalent in magnitude to a 500-year event, that flooded the City of Tena (Ecuador) on 2 September, 2017. Results from the coupled approach showed satisfactory model performance in simulating streamflow and water depths (0.40 ≤ Nash-Sutcliffe coefficient ≤ 0.95; −3.67% ≤ Percent Bias ≤ 23.4%) in six of the eight evaluated events, and a good agreement between simulated and surveyed flooded areas (Fit Index = 0.8) after the 500-year storm. The proposed methodology can be used by modelers and decision-makers for flood impact assessment in data-scarce watersheds and as a starting point for the establishment of flood forecasting systems to lessen the impacts of flood events at the local scale.

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“…A literatura mostra que a maior influência na ocorrência de deslizamentos está relacionada às altas intensidades de precipitação, independentemente de a precipitação anual estar próxima ou não da média esperada (Huang et al, 2015). Vários estudos apresentaram uma correlação positiva entre estas variáveis, tentando identificar limiares de precipitação que geram deslizamentos, destacando a peculiaridade da regionalidade desta informação (Tatizana et al, 1987a(Tatizana et al, , 1987bCastro, 2006;Tominaga et al, 2009;Santoro et al, 2010;Parizzi et al, 2010;Michel, 2013;Michel et al, 2014Michel et al, , 2015Martins, 2014;Molina et al, 2015;Mendes et al, 2015;Kobiyama et al, 2015;Ribeiro Neto et al, 2016;Zahiri et al, 2016).…”

Section: Introductionunclassified