Application of latest HEC-RAS version 6 for 2D hydrodynamic modeling through GIS framework: a case study from coastal urban floodplain in India

Shaikh, Arbaaz A.; Pathan, Azazkhan I.; Waikhom, Sahita; Agnihotri, P. G.; Islam, Md. Nazrul; Singh, Sudhir Kumar

doi:10.1007/s40808-022-01567-4

Cited by 20 publications

(6 citation statements)

References 28 publications

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“…This study corroborates those ofDasallas et al (2019),Hagg et al (2021) andShaikh et al (2023) among others, who state that in funneled areas the flow speed increases in relation to other sections.…”

supporting

confidence: 92%

Dramatic changes in the confluence morphology drived by an extreme hydrologic pulse: impacts to River Doce restoration

Marciano,

Assireu,

Azevedo

et al. 2024

RBRH

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On January 2022, the Carmo River (a tributary of the Doce River) was affected by an extreme hydrological event, with 50-yr return interval. This event was 50% higher than that associated to one of the largest tailing dam failures ever reported that took place in the Gualaxo do Norte River. This delivered to Doce River, through the Carmo River, in a Y-shaped confluence, the contaminated tailing slurry. In order to understand the role of tributaries in the recovery of the Doce River, 2D hydrodynamic and 2D sediment transport models were applied at the confluence of the Carmo River with the Piranga River. Our results, based on hydraulic modeling, remote sensing, and in-situ measurements, indicated that significant amounts of sediments were trapped on the riverbanks and stone banks, making this confluence an important site for the retention of contaminated sediments, influencing sediment budgets and downstream water quality. Therefore, this confluence deserves special attention from water engineering in order to prevent the sediments retained in this area from being transported downstream during extreme events in the coming years. These results can contribute to decision-making, to identify reaches with greater susceptibility to erosion and sediment deposition and to plan the restoration of these rivers.

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supporting

confidence: 92%

Dramatic changes in the confluence morphology drived by an extreme hydrologic pulse: impacts to River Doce restoration

Marciano,

Assireu,

Azevedo

et al. 2024

RBRH

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“…The dynamics of surface waters on a non-uniform terrain b(x, y) are based on the system of Saint-Venant equations in the following form [33,37,85,86]:…”

Section: Hydrodynamic Model Of Floodingmentioning

confidence: 99%

“…Therefore, the algorithms for organizing the safe evacuation of the population of floodplain territories under the conditions of a fairly accurate forecast of the development of floods are of great practical importance [31,32]. The improvement of high-performance computing technologies provides such forecasting and the development of appropriate algorithms has become possible on the basis of interdisciplinary simulations and solving various high-dimensional optimization problems [17,[33][34][35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

“…Tsunamis or sea storm surges in estuaries, especially in the presence of wide deltas, are a source of flooding. Hydrodynamic models of such events describe well the dynamics of water level rise [8,17,37,74]. Separately, we single out a series of works devoted to the study of the hydrological regime of the Volga-Akhtuba Floodplain (VAF) during the spring flood, since the VAF is the testing ground for our study [24,25,[75][76][77][78].…”

Section: Introductionmentioning

confidence: 99%

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The Problem of Effective Evacuation of the Population from Floodplains under Threat of Flooding: Algorithmic and Software Support with Shortage of Resources

et al. 2023

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Extreme flooding of the floodplains of large lowland rivers poses a danger to the population due to the vastness of the flooded areas. This requires the organization of safe evacuation in conditions of a shortage of temporary and transport resources due to significant differences in the moments of flooding of different spatial parts. We consider the case of a shortage of evacuation vehicles, in which the safe evacuation of the entire population to permanent evacuation points is impossible. Therefore, the evacuation is divided into two stages with the organization of temporary evacuation points on evacuation routes. Our goal is to develop a method for analyzing the minimum resource requirement for the safe evacuation of the population of floodplain territories based on a mathematical model of flood dynamics and minimizing the number of vehicles on a set of safe evacuation schedules. The core of the approach is a numerical hydrodynamic model in shallow water approximation. Modeling the hydrological regime of a real water body requires a multi-layer geoinformation model of the territory with layers of relief, channel structure, and social infrastructure. High-performance computing is performed on GPUs using CUDA. The optimization problem is a variant of the resource investment problem of scheduling theory with deadlines for completing work and is solved on the basis of a heuristic algorithm. We use the results of numerical simulation of floods for the Northern part of the Volga-Akhtuba floodplain to plot the dependence of the minimum number of vehicles that ensure the safe evacuation of the population. The minimum transport resources depend on the water discharge in the Volga river, the start of the evacuation, and the localization of temporary evacuation points. The developed algorithm constructs a set of safe evacuation schedules for the minimum allowable number of vehicles in various flood scenarios. The population evacuation schedules constructed for the Volga-Akhtuba floodplain can be used in practice for various vast river valleys.

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“…Intense or prolonged rainfall is one of the primary causes of floods . When rainfall exceeds the soil's infiltration capacity or when it occurs in areas with impermeable surfaces, such as urban areas, the excess water flows overland and accumulates in low-lying areas, resulting in flooding (Shaikh et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Flood Mapping Using the Sentinel-1 SAR Dataset and Application of the Change Detection Approach Technique (CDAT) to the Google Earth Engine In Sindh Province, Pakistan

Ahmed Yaseen Ghouri,

Ateeq ur Rehman,

Rasheed

et al. 2023

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Flooding is a natural disaster characterised by overflowing water onto normally dry land, resulting in widespread damage and disruption to communities. Using Geographic Information Systems (GIS) and Remote Sensing (RS) technologies, accurate flood maps can be created. The Change Detection approach was employed using pre-processed Sentinel-1 SAR data. Pre-processing steps, including Thermal-Noise Removal, Radiometric Calibration, and Terrain Correction, were carried out using the Google Earth Engine (GEE) platform. This methodology allows for accurate and reliable analysis of land cover changes and provides valuable information for land management and decision-making processes in the region. The purpose of this study was to estimate the damage caused by flooding. The flood status between 18 August 2022 and 28 August 2022 was analysed. The estimated flood extent based on Sentinel-1 SAR data is almost 759,642 ha. The estimated number of people exposed is almost 663,797, estimated using the Global Human Settlement Layer (2015), with a resolution of about 250 m. Based on a MODIS land cover dataset with a resolution of 500 m, the estimated area of crops damaged is almost 415,450 ha and estimated urban area affected is almost 8435 ha.

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Application of latest HEC-RAS version 6 for 2D hydrodynamic modeling through GIS framework: a case study from coastal urban floodplain in India

Cited by 20 publications

References 28 publications

Dramatic changes in the confluence morphology drived by an extreme hydrologic pulse: impacts to River Doce restoration

Dramatic changes in the confluence morphology drived by an extreme hydrologic pulse: impacts to River Doce restoration

The Problem of Effective Evacuation of the Population from Floodplains under Threat of Flooding: Algorithmic and Software Support with Shortage of Resources

Flood Mapping Using the Sentinel-1 SAR Dataset and Application of the Change Detection Approach Technique (CDAT) to the Google Earth Engine In Sindh Province, Pakistan

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