Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region

Mehta, Darshan; Eslamian, Saeid; Prajapati, Keyur

doi:10.1007/s40808-021-01259-5

Cited by 26 publications

(10 citation statements)

References 20 publications

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“…The HEC‐RAS 2D model was used to understand the floodplain hydrodynamics of Ranigram (Farooq et al, 2019; Iqbal, 2021; Iqbal et al, 2022). HEC‐RAS can simulate the water surface profiles for 2D unsteady flow (Biswas & Mondal, 2022; Chyon et al, 2023; Mehta et al, 2021). The RAS Mapper was used for the geometry data input and processing.…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

Iqbal

Mondal

Veerbeek

et al. 2023

J Flood Risk Management

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Open‐source, satellite‐based digital elevation models (DEMs) are widely used for flood modeling. However, studies on effectiveness of these DEMs in depicting local‐level flood processes are limited. This study generated a high‐resolution digital terrain model (DTM) based on unmanned aerial vehicle (UAV) photogrammetry and used in a two‐dimensional (2D) hydrodynamic model (HEC‐RAS) to simulate the flood processes in a floodplain environment of the Jamuna River in northern Bangladesh. The effectiveness of a few satellite‐based DEMs was also compared with this DTM by using the DEMs in the same hydrodynamic model. Field data for two flood seasons were collected to develop the model. The results indicate that the 2D model with UAV‐based DTM provides the flood parameters, such as flood arrival time, depth, duration and extent, better than those from the satellite‐based DEMs. Of the open‐source DEMs, the FABDEM and the WorldDEM™ have the least errors and provide better results compared to the SRTM30, ALOS PALSAR, and ASTER DEMs. The UAV technique with ground control points and field measurements for the tree‐canopy and water areas is very useful in generating a fit‐for‐purpose DTM. The findings of this study would be useful for terrain generation and DEM selection for local‐level flood modeling elsewhere.

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Section: Methodsmentioning

confidence: 99%

Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

Iqbal

Mondal

Veerbeek

et al. 2023

J Flood Risk Management

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“…There are many classic tools for water environment assessment and prediction, such as HEC-RAS [10], EFDC [11], et alThe Mike21 software of the Danish Hydraulic Institute (DHI) was used to construct the water quality model of the Jiaojiang Estuary. Since the basic principles of the model, including the control equation, the definite solution conditions, and the numerical discrete solution method are detailed in the user manual [12], they are not listed here.…”

Section: Model Generalizationmentioning

confidence: 99%

A two-dimensional numerical model of water quality for the Jiao(ling) River Estuary

Guo,

WEI,

BAO

et al. 2024

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)

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The diversion and expansion of the Jiao(ling) River sluice constitutes major hydraulic engineering in Zhejiang Province. The completion of the project will change the hydrological condition of the Jiao(ling) River Estuary to a certain extent, consequently affecting the water quality of the estuary. This study constructed a two-dimensional numerical model of water quality for the Jiao(ling) River based on measured topographic and hydrological water quality data. The domain of the model extended to the sea area in the river mouth and was used to simulate the dilution and mixing of pollutants after entering the sea area. The model obtained reasonable water quality concentrations of estuarine flood tide inflow. Therefore, the model was able to resolve the previous challenge of identifying the flood water quality boundary resulting from setting the downstream boundary in a modelled river. Model validation showed that the model was able to reflect the changes in hydrodynamic forces and water quality concentrations of the Jiao River under the combined action of tidal current and runoff.

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“…As the smallest, Micro-Geographic Incident Response Unit (MG-IRU) census block is suggested to be granted the decisionmaking power to connect the institution and community in the disaster risk management process smallest administrative unit to function as local early warning systems. Watershed as a naturally occurring hydrologic unit, which contributes storm runoff to a single waterway, classified on the basis of its geographical area (Mehta et al, 2022b). Flood is the most frequent in Sri Lankan disaster context.…”

Section: Classification Of Floods Based On a Severity Indexmentioning

confidence: 99%

Hydro-Meteorological Disaster Incidents and Associated Weather Systems in Sri Lanka

Tillekaratne,

Jayawardena,

Basnayaka

et al. 2023

J ENVIRON INFORM LET

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This paper presents a comprehensive seasonal analysis of disaster incidents with their associated weather systems happened in Sri Lanka since 1907 to 2019. Disaster incidents and weather records were collected from different reliable sources and analysed with the observed weather systems to understand the formation and development of the weather systems. According to the observations, frequent hydro-meteorological hazards experienced by the country are extreme winds, floods, and landslides. The seasonal analysis shows that majority of these hydro-meteorological disasters have occurred during the southwest monsoon, where the weather was mainly dominated by the monsoon winds entering from the southwest of Sri Lanka which creates torrential rainfall mainly in the wet zone of the country. The frequency of formation of depression and deep depression, from 1907 to 2019 shows that most of these are formed in the Bay of Bengal (BoB), North Indian Ocean, from October to January while having the highest frequency in November followed by December. The study will help to understand the possible damages, and thereby help the community to be prepared for such future hazards. The need for a central platform for generating timely impact-based warnings and helping the community to act was also identified. Further, the census block can be suggested as the smallest; Micro-Geographic Incident Response Unit (MG-IRU) to grant the decision-making power and connect the institution and community in the disaster risk management process.

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Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region

Cited by 26 publications

References 20 publications

Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

A two-dimensional numerical model of water quality for the Jiao(ling) River Estuary

Hydro-Meteorological Disaster Incidents and Associated Weather Systems in Sri Lanka

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