Assessing flood inundation mapping through estimated discharge using GIS and HEC-RAS model

Mokhtar, Ernieza Suhana; Pradhan, Biswajeet; Ghazali, Abdul Halim; Shafri, Helmi Zulhaidi Mohd

doi:10.1007/s12517-018-4040-2

Cited by 31 publications

(17 citation statements)

References 58 publications

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“…A série de vazões foi definida após prétestes (simulações) executados para observação da altura do nível de água em relação ao canal, a partir da curva-chave de cada seção, com intuito de visualização das vazões críticas, pois, conforme Mokhtar et al (2018), o volume de água escoado em determinado tempo é o principal parâmetro para análise da possibilidade de inundação em uma área. Dimitriadis et al (2016) destacam ainda que no HEC-RAS, com o emprego de uma condição de fluxo estável e devido às características naturais do regime permanente e da flexibilidade do software em relação à aplicação de diferentes formatos geométricos para as seções construídas, em toda a simulação à descarga constante, a vazão é distribuída longitudinalmente em toda a seção transversal.…”

Section: Methodsunclassified

Simulação da Área de Inundação por meio da Modelagem Hidráulica em Canal Urbano: Estudo de Caso Córrego Jatobá, em Belo Horizonte, Minas Gerais

Anchieta

Lima

Monte-Mor

et al. 2020

Rev. Bras. Geog. Fis.

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Devido à ausência de sistemas de drenagem eficientes e aos altos índices pluviométricos em determinados períodos do ano, eventos de inundação no mundo e no Brasil, e, principalmente, em Belo Horizonte-MG, têm sido observados com muita frequência. À vista disso, este trabalho teve como objetivo desenvolver a modelagem hidráulica de um canal em meio urbano visando a discussão sobre a sua capacidade de drenagem e minimização de incertezas, relacionadas ao escoamento de água no canal em eventos extremos. Para a elaboração dos mapas e delineamento do canal foi utilizado o software ArcGIS, com suas extensões ArcHydro e HEC-GeoRAS. Além disso, para aplicação dos dados geométricos e hidráulicos das seções, e simulações hidráulicas, foi empregado o software HEC-RAS. Como resultado do estudo, teve-se a comprovação, quantitativa, da influência do coeficiente de Manning no escoamento do canal e pôde-se também, determinar, por meio de um conjunto de vazões críticas, trechos do curso d’água mais susceptíveis à inundação. Observou-se que, quanto menores os valores dos coeficientes de Manning das seções, maiores são suas vazões críticas, ou seja, para corpos hídricos canalizados por obras com revestimento e com acabamento, as vazões necessárias para as seções inundar possuem valores mais altos, justamente, pelo menor atrito do material de revestimento com o fluxo de água; enquanto que, para canais naturais, as vazões determinantes para a ocorrência de inundação da seção, são menores, pela maior potencialidade da vegetação e do solo em resistir ao escoamento. Flooding Area Simulation through Hydraulic Modeling in the Urban Channel: Case Study Jatobá Stream, in Belo Horizonte, Minas GeraisA B S T R A C TDue to the absence of efficient drainage systems and high rainfall rates at certain times of the year, flood events in the world and in Brazil, and especially in Belo Horizonte, Minas Gerais, have been observed very frequently. In view of this, this work aimed to develop the hydraulic modeling of an urban canal in order to discuss its drainage capacity and minimize uncertainties related to water runoff in extreme events.For the maps elaboration and the channel drawing was used the ArcGIS software with its extensions ArcHydro and HEC-GeoRAS. The HEC-RAS software was used to apply the geometric and hydraulic sections data and for hydraulic simulations. As a result of the study, the influence of the Manning coefficient on the flow of a channel was quantitatively verified. Through a set of critical flows, it was also possible to determine the most susceptible to flooding watercourse stretches. In this case, it was observed that the smaller the values of the Manning coefficients of the sections, the higher their critical flow rates, that is, for water bodies piped by coated and finished works, the flow rates needed to flood the sections have higher values high due to the lower friction of the coating material with water flow; whereas, for natural channels, the water volumes per unit of time, which are determinant for the sections flooding, were smallers, precisely because of the greater capacity of the vegetation and soil to resist runoff.Keywords: hidraulic modelling, HEC-RAS, urban floods.

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Section: Methodsunclassified

Simulação da Área de Inundação por meio da Modelagem Hidráulica em Canal Urbano: Estudo de Caso Córrego Jatobá, em Belo Horizonte, Minas Gerais

Anchieta

Lima

Monte-Mor

et al. 2020

Rev. Bras. Geog. Fis.

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“…It also plays a major role in developing reference maps for damage prevention and charting, the integration of any type of information, a better presentation of ideas and a better understanding of the scope of possible solutions [3]. The method has also been used successfully to assess a territory's vulnerability to flood risks [4][5][6][7].…”

Section: Imentioning

confidence: 99%

Integration of GIS and Hierarchical Multi-Criteria Analysis for Mapping Flood Vulnerability: The Case Study of M'sila, Algeria

Loumi

Redjem

2021

Eng. Technol. Appl. Sci. Res.

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This paper proposes the integration of GIS (Geographic Information System ) and HMA (Hierarchical Multi-criterion Analysis) offering a low-cost methodology to produce vulnerability maps. The quintessential role the rivers play in urban development has long been asserted and accepted. However, one of the subsequent consequences of these urban development activities is the increased frequency of floods. The case in point is the city of M’sila, Algeria. The subject city was settled along the banks of a river known as Oued El Ksob, which undoubtedly had a significant influence on its development. In the last 50 years, M’sila has experienced significant spatial growth, especially in its north and northwest sides. As such, the work presented in this article aims to assess the vulnerability of the city to the risks of flooding. The approach used is based on the combined use of the HMA method coupled with the GIS. The process allowed the graphical representation of the resulting analysis of complex data of the territory, i.e. the mapping of its vulnerability to flooding. The map has four vulnerability categories ranging from low to very strong. The proposed system serves as an essential decision-making tool for local government officials.

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“…Fire creates positive conditions for invasion [37] by eliminating existing nativ The two species of most concern to land managers are giant reed and saltcedar. Both consume more water than and displace native species and obstruct and narrow water flow channels [14,28]. Giant reed is an invasive grass common to riparian areas throughout the southwestern United States.…”

Section: Cactus Fire and Flooding Eventmentioning

confidence: 99%

An Integrated Spectral–Structural Workflow for Invasive Vegetation Mapping in an Arid Region Using Drones

Kedia

Kapos

Liao

et al. 2021

Drones

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Mapping invasive vegetation species in arid regions is a critical task for managing water resources and understanding threats to ecosystem services. Traditional remote sensing platforms, such as Landsat and MODIS, are ill-suited for distinguishing native and non-native vegetation species in arid regions due to their large pixels compared to plant sizes. Unmanned aircraft systems, or UAS, offer the potential to capture the high spatial resolution imagery needed to differentiate species. However, in order to extract the most benefits from these platforms, there is a need to develop more efficient and effective workflows. This paper presents an integrated spectral–structural workflow for classifying invasive vegetation species in the Lower Salt River region of Arizona, which has been the site of fires and flooding, leading to a proliferation of invasive vegetation species. Visible (RGB) and multispectral images were captured and processed following a typical structure from motion workflow, and the derived datasets were used as inputs in two machine learning classifications—one incorporating only spectral information and one utilizing both spectral data and structural layers (e.g., digital terrain model (DTM) and canopy height model (CHM)). Results show that including structural layers in the classification improved overall accuracy from 80% to 93% compared to the spectral-only model. The most important features for classification were the CHM and DTM, with the blue band and two spectral indices (normalized difference water index (NDWI) and normalized difference salinity index (NDSI)) contributing important spectral information to both models.

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Assessing flood inundation mapping through estimated discharge using GIS and HEC-RAS model

Cited by 31 publications

References 58 publications

Simulação da Área de Inundação por meio da Modelagem Hidráulica em Canal Urbano: Estudo de Caso Córrego Jatobá, em Belo Horizonte, Minas Gerais

Simulação da Área de Inundação por meio da Modelagem Hidráulica em Canal Urbano: Estudo de Caso Córrego Jatobá, em Belo Horizonte, Minas Gerais

Integration of GIS and Hierarchical Multi-Criteria Analysis for Mapping Flood Vulnerability: The Case Study of M'sila, Algeria

An Integrated Spectral–Structural Workflow for Invasive Vegetation Mapping in an Arid Region Using Drones

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