A two scale cellular automaton for flow dynamics modeling (2CAFDYM)

Kassogué, Hamidou; Bernoussi, Abdes Samed; Maâtouk, Mustapha; Amharref, Mina

doi:10.1016/j.apm.2016.10.034

Cited by 13 publications

(3 citation statements)

References 20 publications

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“…The likelihood of a flood increases with decreasing or negative elevation (Ngo et al , 2018) (Figure 3). Slope: One of the most important factors for flooding is the slope because it directly affects surface runoff in watersheds and the velocity and the speed of flow of the water (Kassogué et al , 2017). For instance, a high slope slows the rate of water penetration, causing the water to flow more quickly (Khosravi et al , 2019).…”

Section: Geospatial Data Preparation Of Flood Triggering and Controll...mentioning

confidence: 99%

An assessment of flash flood susceptibility in Golestan province, Iran, using multiple computational approaches

Hosseini Sabzevari,

Mehdipour,

Aslani

2023

IJDRBE

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Purpose Golestan province in the northern part of Iran has been affected by devastating floods. There has been a significant change in the pattern of rainfall in Golestan province based on an analysis of the seven heaviest rainfall events in recent decades. Climate change appears to be a significant contributing factor to destructive floods. Thus, this paper aims to assess the susceptibility of this area to flash floods in case of heavy downpours. Design/methodology/approach This paper uses a variety of computational approaches. Following the collection of data, spatial analyses have been conducted and validated. The layers of information are then weighted, and a final risk map is created. Fuzzy analytical hierarchy process, geographic information system and frequency ratio have been used for data analysis. In the final step, a flood risk map is prepared and discussed. Findings Due to the complex interaction between thermal fluctuations and precipitation, the situation in the area is further complicated by climate change and the variations in its patterns and intensities. According to the study results, coastal areas of the Caspian Sea, the Gorganrood Basin and the southern regions of the province are predicted to experience flash floods in the future. The research criteria are generalizable and can be used for decision-making in areas exposed to flash flood risk. Originality/value The unique feature of this paper is that it evaluates flash flood risks and predicts flood-prone areas in the northern part of Iran. Furthermore, some interventions (e.g. remapping land use and urban zoning) are provided based on the socioeconomic characteristics of the region to reduce flood risk. Based on the generated risk map, a practical suggestion would be to install and operate an integrated rapid flood warning system in high-risk zones.

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Section: Geospatial Data Preparation Of Flood Triggering and Controll...mentioning

confidence: 99%

An assessment of flash flood susceptibility in Golestan province, Iran, using multiple computational approaches

Hosseini Sabzevari,

Mehdipour,

Aslani

2023

IJDRBE

View full text Add to dashboard Cite

show abstract

“…Early examples of these models were applied to simulate fluvial dynamics [47]. The approach has been applied to stormwater flood dynamics across flood plains [48][49][50][51][52]. Recent approaches have refined this application towards detailed simulation of urban environments, although so far this has been undertaken at limited scale [25,[53][54][55].…”

Section: Rapid Flood Modelling Using Cellular Automatamentioning

confidence: 99%

“…Water 2021, 13, x FOR PEER REVIEW 4 of 21 plains [48][49][50][51][52]. Recent approaches have refined this application towards detailed simulation of urban environments, although so far this has been undertaken at limited scale [25,[53][54][55].…”

Section: Rapid Flood Modelling Using Cellular Automatamentioning

confidence: 99%

Towards Regional Scale Stormwater Flood Management Strategies through Rapid Preliminary Intervention Screening

Webber

Balbi

Lallemant

et al. 2021

Water

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This paper presents the advantages and opportunities for rapid preliminary intervention screening to enhance inclusion of green infrastructures in regional scale stormwater management. Stormwater flooding is widely recognised as a significant and worsening natural hazard across the globe; however, current management approaches aimed at the site scale do not adequately explore opportunities for integrated management at the regional scale at which decisions are made. This research addresses this gap through supporting the development of stormwater management strategies, including green infrastructure, at a regional scale. This is achieved through upscaling a modelling approach using a spatially explicit inundation model (CADDIES) coupled with an economic model of inundation loss (OpenProFIA) to support widescale evaluation of green infrastructure during the informative early-stage development of stormwater management strategies. This novel regional scale approach is demonstrated across a case study of the San Francisco Bay Area, spanning 8300 sq km. The main opportunity from this regional approach is to identify spatial and temporal trends which are used to inform regional planning and direct future detailed modelling efforts. The study highlights several limitations of the new method, suggesting it should be applied as part of a suite of landscape management approaches; however, highlights that it has the potential to complement existing stormwater management toolkits.

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Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh

Siam

Hasan

Anik

et al. 2021

Lecture Notes in Computer Science

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A two scale cellular automaton for flow dynamics modeling (2CAFDYM)

Cited by 13 publications

References 20 publications

An assessment of flash flood susceptibility in Golestan province, Iran, using multiple computational approaches

An assessment of flash flood susceptibility in Golestan province, Iran, using multiple computational approaches

Towards Regional Scale Stormwater Flood Management Strategies through Rapid Preliminary Intervention Screening

Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh

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