Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India

Sanyal, Joy; Carbonneau, Patrice; Densmore, Alexander L.

doi:10.1007/s11069-012-0540-7

Cited by 33 publications

(27 citation statements)

References 39 publications

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“…The Global Navigation Satellite System (GNSS) technique represents an optimal surveying trade‐off under similar conditions as shown by other authors (see, e.g. Sanyal et al ., ). Because the sky visibility seems to be guaranteed everywhere, a sensible installation of a system of GNSS receivers enables one to frame the topographical survey both in absolute geodetic and cartographic systems, and offers the possibility to accurately survey river cross‐sections and to construct high‐resolution DEMs without any additional land survey instrumentation.…”

Section: Surveying Technique and Data Processing Strategymentioning

confidence: 97%

“…The suitability of the SRTM DEMs for the characterisation of riverbed geometry have showed by previous hydraulic analyses (see, e.g. Pramanik et al, 2010;Sanyal et al, 2013). Nevertheless, the low planimetric resolution of such models (∼90 m) is not suitable for small-scale hydraulic analyses aimed at predesigning a system of river engineering structures, such as the filtering dams identified for the study area (see Brandimarte et al, 2009).…”

Section: Hydraulic Modelling Requirements Versus Operatives Constraintsmentioning

confidence: 98%

“…emergency plan, and risk communication and risk education; see, e.g. Di Merz et al, 2010;Elmer et al, 2012;Patel and Srivastava, 2013;Sanyal et al, 2013).…”

Section: Study Areamentioning

confidence: 99%

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Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints

Domeneghetti

Gandolfi

Castellarin

et al. 2014

J Flood Risk Management

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Isla Hispaniola, the island shared by Haiti and the Dominican Republic, has repeatedly witnessed catastrophic disasters that caused dramatic economic losses and killed thousands of people over the last decades. One striking example is the disastrous flood event that hit the transnational basin of River Soliette on 24 May 2004. The event resulted from a severe tropical storm and killed over 1000 Haitian and 400 Dominican people. In the context of an International Cooperation Initiative, the University of Bologna led several activities in the fields of flood risk assessment, management and mitigation, and sustainable development planning for the Soliette river basin. This paper presents new techniques for a timely assessment of flood risk in data-scarce and remote areas in developing countries showing in particular: (1) Global Navigation Satellite System (GNSS)-based topographic survey of the Soliette riverbed, carried out under urgent temporal, logistical and technical constraints, and (2) some possible utilisations of the collected topographic data for the identification of structural and non-structural flood risk mitigation measures. The analysis enabled us to set and test a GNSS-based technique for fast, reliable and detailed topographic surveys in remote regions, which represents a valid option for similar areas with limited accessibility in emerging and developing countries.

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Section: Surveying Technique and Data Processing Strategymentioning

confidence: 97%

Section: Hydraulic Modelling Requirements Versus Operatives Constraintsmentioning

confidence: 98%

See 1 more Smart Citation

Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints

Domeneghetti

Gandolfi

Castellarin

et al. 2014

J Flood Risk Management

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“…However, the effectiveness of this system can be compromised by deficiencies of hydraulic flood spreading procedures as the extreme event progresses [26]. Remotely sensed precipitation data and hydrologic modelling are used to monitor flooding in regions that regularly experience extreme precipitation and flood events [27], but this needs an offline process for data collection and also appears less efficient for real time implementation.…”

Section: Flood Simulationmentioning

confidence: 99%

Flood risk management in sponge cities: The role of integrated simulation and 3D visualization

Wang

Hou

Miller

et al. 2019

International Journal of Disaster Risk Reduction

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The Sponge City concept has been promoted as a major programme of work to address increasing flood risk in urban areas, in combination with wider benefits for water resources and urban renewal. However, realization of the concept requires collaborative engagement with a wide range of professionals and with affected communities. Visualization can play an important role in this process. In this research, a sponge city flood simulation and forecasting system has been built which combines hydrological data, topographic data, GIS data and hydrodynamic models in real-time and interactive display in a three-dimensional environment. Actual and design flood events in a pilot sponge city have been simulated. The validation results show that the simulated urban water accumulation process is consistent with the actual monitoring data. Use of advanced virtual reality technology can enable simulations to be placed in the wider design context including enhanced awareness of multiple functions of urban ecosystems. This procedure can therefore reduce the information communication gap and encourage innovation regarding low impact development required for sponge city construction.

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“…90 m resolution) with geographic projection, which was procured from the CGIAR-Consortium for Spatial Information site (http://srtm.csi.cgiar.org). This processed SRTM data with a reported vertical accuracy of 7.58 m for Phuket Island of Thailand and 4.7 m in the Catskills Mountains in the USA (Gorokhovich and Voustianiouk 2006) is the most reliable dataset and has been supplemented with auxiliary DEMs to fill the data voids (Sanyal et al 2013). The computation for extracting flood affected area is carried out employing the following methodology: (1) based on DEM; the basin area is demarcated using ArcGIS (version 9.3) software; (2) within drainage basin below Nutanhat, a point map is created on the basis of location of Nutanhat; (3) gauge heights of different return period at Nutanhat are calculated by LPT-3 method (suitable method after GOF and D-index test); and (4) all pixels at an elevation of lower or equal to the specified level (gauge heights) are multiplied with the spatial resolution of the DEM.…”

Section: Affected Area At Different Return Period and Inundation Mappingmentioning

confidence: 99%

Probability of flooding and vulnerability assessment in the Ajay River, Eastern India: implications for mitigation

et al. 2016

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Estimation of flood intensity for a desired return period is of prime importance for flood management through flood plain zoning. Flood frequency analysis enables estimation of the probability of occurrence of a certain hydrological event of practical importance by fitting a probability distribution to one that is empirically obtained from recorded annual maximum discharge and/or stage data. This case study considers the use of four probability distributions, namely Gumbel's extreme value distribution (EV-I), extreme value distribution-III (EV-III), log-normal (LN) and Log-Pearson Type III (LPT-3) in flood modelling of monsoon-dominated Ajay River and illustrates the applicability of goodness of fit (GOF) and D-index tests procedures in identifying which distributional model is best for the specific data. Twenty-five years ) of existing and estimated annual peak discharge (Q max ) data have been used for analyzing the trend of flood occurrence. After identifying the best fit model, the peak gauge height data (h max ) are then analysed combining with geographic information systems (GIS) for predicting flood affected area and preparing inundation map at a specific return period (T). Results of the study showed that the LPT-3 distribution is better suited for modelling flood data for Ajay at Nutanhat in West Bengal. The computed Q max for LPT-3 distribution are slightly higher as compared to the results obtained by EV-I, EV-III and LN which are used for vulnerability assessment. The analysis also predicts that the affected area will be ranging from 235 to 290 km 2 in near future (at 25-to 200-year T). These findings provide clear picture for the pattern of hydrological fluxes and aftermath in the next decades in lower Ajay River Basin (ARB). Sustainable planning and developmental measures that consider the modelled pattern of hydrological fluxes of the study area were recommended for decision making.

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Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India

Cited by 33 publications

References 39 publications

Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints

Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints

Flood risk management in sponge cities: The role of integrated simulation and 3D visualization

Probability of flooding and vulnerability assessment in the Ajay River, Eastern India: implications for mitigation

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