scholarly journals Vehicles instability criteria for flood risk assessment of a street network

2016 ◽  
Vol 373 ◽  
pp. 143-146 ◽  
Author(s):  
Chiara Arrighi ◽  
Nicolas Huybrechts ◽  
Abdellatif Ouahsine ◽  
Patrick Chassé ◽  
Hocine Oumeraci ◽  
...  
Keyword(s):  
Water Depth ◽  
Flood Risk ◽  
Management Practices ◽  
Flood Hazard ◽  
Developed Countries ◽  
Critical Conditions ◽  
The Road ◽  
Instability Criteria ◽  
Flood Risk Mapping

Abstract. The mutual interaction between floods and human activity is a process, which has been evolving over history and has shaped flood risk pathways. In developed countries, many events have illustrated that the majority of the fatalities during a flood occurs in a vehicle, which is considered as a safe shelter but it may turn into a trap for several combinations of water depth and velocity. Thus, driving a car in floodwaters is recognized as the most crucial aggravating factor for people safety. On the other hand, the entrainment of vehicles may locally cause obstructions to the flow and induce the collapse of infrastructures. Flood risk to vehicles can be defined as the combination of the probability of a vehicle of being swept away (i.e. the hazard) and the actual traffic/parking density, i.e. the vulnerability. Hazard for vehicles can be assessed through the spatial identification and mapping of the critical conditions for vehicles incipient motion. This analysis requires a flood map with information on water depth and velocity and consistent instability criteria accounting for flood and vehicles characteristics. Vulnerability is evaluated thanks to the road network and traffic data. Therefore, vehicles flood risk mapping can support people's education and management practices in order to reduce the casualties. In this work, a flood hazard classification for vehicles is introduced and an application to a real case study is presented and discussed.

scholarly journals Comprehensive Assessment of Flood Hazard, Vulnerability, and Flood Risk at the Household Level in a Municipality Area: A Case Study of Nan Province, Thailand

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 161
Author(s):  
Tawatchai Tingsanchali ◽  
Thanasit Promping
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Simulation Models ◽  
Mitigation Measures ◽  
Return Periods ◽  
Household Level ◽  
Pertinent Data ◽  
Hazard Vulnerability ◽  
Questionnaire Surveys

Estimating flood hazard, vulnerability, and flood risk at the household level in the past did not fully consider all relevant parameters. The main objective of this study is to improve this drawback by developing a new comprehensive and systematic methodology considering all relevant parameters and their weighting factors. This new methodology is applied to a case study of flood inundation in a municipal area of Nan City in the Upper Nan River Basin in Thailand. Field and questionnaire surveys were carried out to collect pertinent data for input into the new methodology for estimating flood hazard, vulnerability, and risk. Designed floods for various return periods were predicted using flood simulation models for assessing flood risk. The flood risk maps constructed for the return periods of 10–500 years show a substantial increase in flood risk with the return periods. The results are consistent with past flood damages, which were significant near and along the riverbanks where ground elevation is low, population density is high, and the number of household properties are high. In conclusion, this new comprehensive methodology yielded realistic results and can be used further to assess the effectiveness of various proposed flood mitigation measures.

scholarly journals Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework

2019 ◽  
Vol 19 (8) ◽  
pp. 1723-1735 ◽  
Author(s):  
Jannis M. Hoch ◽  
Dirk Eilander ◽  
Hiroaki Ikeuchi ◽  
Fedor Baart ◽  
Hessel C. Winsemius
Keyword(s):  
Flood Risk ◽  
Management Practices ◽  
Flood Hazard ◽  
Hydrologic Model ◽  
Model Complexity ◽  
Model Coupling ◽  
Coupled Models ◽  
Flood Simulations ◽  
Inundation Extent ◽  
The Impact

Abstract. Fluvial flood events are a major threat to people and infrastructure. Typically, flood hazard is driven by hydrologic or river routing and floodplain flow processes. Since they are often simulated by different models, coupling these models may be a viable way to increase the integration of different physical drivers of simulated inundation estimates. To facilitate coupling different models and integrating across flood hazard processes, we here present GLOFRIM 2.0, a globally applicable framework for integrated hydrologic–hydrodynamic modelling. We then tested the hypothesis that smart model coupling can advance inundation modelling in the Amazon and Ganges basins. By means of GLOFRIM, we coupled the global hydrologic model PCR-GLOBWB with the hydrodynamic models CaMa-Flood and LISFLOOD-FP. Results show that replacing the kinematic wave approximation of the hydrologic model with the local inertia equation of CaMa-Flood greatly enhances accuracy of peak discharge simulations as expressed by an increase in the Nash–Sutcliffe efficiency (NSE) from 0.48 to 0.71. Flood maps obtained with LISFLOOD-FP improved representation of observed flood extent (critical success index C=0.46), compared to downscaled products of PCR-GLOBWB and CaMa-Flood (C=0.30 and C=0.25, respectively). Results confirm that model coupling can indeed be a viable way forward towards more integrated flood simulations. However, results also suggest that the accuracy of coupled models still largely depends on the model forcing. Hence, further efforts must be undertaken to improve the magnitude and timing of simulated runoff. In addition, flood risk is, particularly in delta areas, driven by coastal processes. A more holistic representation of flood processes in delta areas, for example by incorporating a tide and surge model, must therefore be a next development step of GLOFRIM, making even more physically robust estimates possible for adequate flood risk management practices.

scholarly journals A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China

2021 ◽  
Vol 18 (21) ◽  
pp. 11597
Author(s):  
Yi Chen ◽  
Zhicong Ye ◽  
Hui Liu ◽  
Ruishan Chen ◽  
Zhenhuan Liu ◽  
...  
Keyword(s):  
Spatial Pattern ◽  
Flood Risk ◽  
Social Vulnerability ◽  
Flood Hazard ◽  
Central City ◽  
Flood Disaster ◽  
Social Vulnerability Index ◽  
Urban Centre ◽  
Flood Susceptibility

The identification of vulnerable people and places to flood is crucial for effective disaster risk management. Here, we combine flood hazard and social vulnerability index to capture the potential risk of flood. In this paper, Nanjing was taken as the case study to explore the spatial pattern of social vulnerability towards flood at the community scale by developing an index system. Based on the flood risk results of ArcSWAT, the risk of flood disaster in Nanjing was evaluated. The results show the following. (1) Social vulnerability exhibits a central–peripheral pattern in general, which means that the social vulnerability degree is high in the central city and decreases gradually to the suburbs. (2) The susceptibility to flood disaster has a similar circle-layer pattern that is the highest in the urban centre, lower in the exurban areas, and the lowest in the suburb areas. (3) By using the GIS-based zoning approach, communities are classified into four types by comprehensively considering their flood susceptibility and social vulnerability. The spatial pattern is explained, and policy recommendation for reducing flood risk is provided for each type of community. The research has important reference significance for identifying the spatial pattern of social vulnerability to flood and then formulating targeted adaptation countermeasures.

scholarly journals Integrating large-scale hydrology and hydrodynamics for nested flood hazard modelling from the mountains to the coast

2019 ◽  
Author(s):  
Jannis M. Hoch ◽  
Dirk Eilander ◽  
Hiroaki Ikeuchi ◽  
Fedor Baart ◽  
Hessel C. Winsemius
Keyword(s):  
Flood Risk ◽  
Large Scale ◽  
Management Practices ◽  
Flood Hazard ◽  
Hydrologic Model ◽  
Model Coupling ◽  
Coupled Models ◽  
Critical Success ◽  
Inundation Modelling ◽  
Flood Simulations

Abstract. Fluvial flood events were, are, and will remain a major threat to people and infrastructure. Typically, flood hazard is driven by hydrologic or river routing and floodplain flow processes. Since they are often simulated by different models, coupling these models may be a viable way to increase the physicality of simulated inundation estimates. To facilitate coupling different models and integrating across flood hazard processes, we here present GLOFRIM 2.0, a globally applicable framework for integrated hydrologic-hydrodynamic modelling. We then tested the hypothesis that smart model coupling can advance inundation modelling in the Amazon and Ganges basins. By means of GLOFRIM, we coupled the global hydrologic model PCR-GLOBWB with the hydrodynamic models CaMa-Flood and LISFLOOD-FP. Results show that replacing the kinematic wave approximation of the hydrologic model with the local inertia equation of CaMa-Flood greatly enhances accuracy of peak discharge simulations as expressed by an increase of NSE from 0.48 to 0.71. Flood maps obtained with LISFLOOD-FP improved representation of observed flood extent (critical success index C = 0.46), compared to downscaled products of PCR-GLOBWB and CaMa-Flood (C = 0.30 and C = 0.25, respectively). Results confirm that model coupling can indeed be a viable way forward towards more integrated flood simulations. However, results also suggest that the accuracy of coupled models still largely depends on the model forcing. Hence, further efforts must be undertaken to improve the magnitude and timing of simulated runoff. Besides, flood risk is, particularly in delta areas, driven by coastal processes. A more holistic representation of flood processes in delta areas, for example by incorporating a tide and surge model, must therefore be a next development step of GLOFRIM, making even more physically-robust estimates possible for adequate flood risk management practices.

Uncertainties in flood risk mapping: a case study on estimating building damages for a river flood in Finland

2010 ◽  
Vol 3 (2) ◽  
pp. 166-183 ◽  
Author(s):  
L. Koivumäki ◽  
P. Alho ◽  
E. Lotsari ◽  
J. Käyhkö ◽  
A. Saari ◽  
...  
Keyword(s):  
Flood Risk ◽  
Risk Mapping ◽  
River Flood ◽  
Flood Risk Mapping

scholarly journals GIS and local knowledge in disaster management: a case study of flood risk mapping in Viet Nam

Disasters ◽  
2008 ◽  
Vol 33 (1) ◽  
pp. 152-169 ◽  
Author(s):  
Phong Tran ◽  
Rajib Shaw ◽  
Guillaume Chantry ◽  
John Norton
Keyword(s):  
Disaster Management ◽  
Local Knowledge ◽  
Flood Risk ◽  
Risk Mapping ◽  
Viet Nam ◽  
Flood Risk Mapping

Public perception of flood hazard and flood risk in Iceland: a case study in a watershed prone to ice-jam floods

2010 ◽  
Vol 58 (1) ◽  
pp. 269-287 ◽  
Author(s):  
Emmanuel Pagneux ◽  
Guðrún Gísladóttir ◽  
Salvör Jónsdóttir
Keyword(s):  
Flood Risk ◽  
Public Perception ◽  
Flood Hazard ◽  
Ice Jam

scholarly journals Assessing tropical cyclone compound flood risk using hydrodynamic modelling: a case study in Haikou City, China

2021 ◽  
Author(s):  
Qing Liu ◽  
Hanqing Xu ◽  
Jun Wang
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Copula Function ◽  
Coastal Flooding ◽  
Future Research ◽  
Flood Hazards ◽  
Storm Tide ◽  
Inundation Area ◽  
Joint Occurrence

Abstract. The co-occurrence of storm tide and rainstorm during tropical cyclones (TCs) can lead to compound flooding in low-lying coastal regions. The assessment of TC compound flood risk can provide vital insight for research on coastal flooding prevention. This study investigates TC compound flooding by constructing a storm surge model and overland flooding model using Delft3D Flexible Mesh (DFM), illustrating the serious consequences from the perspective of storm tide. Based on the probability distribution of storm tide, this study regards TC1415 as the 100-year event, TC6311 as the 50-year event, TC8616 as the 25-year event, TC8007 as the 10-year event, and TC7109 as the 5-year event. The results indicate that the coastal area is a major floodplain, primarily due to storm tide, with the inundation severity positively correlated with the height of the storm tide. For 100-year TC event, the inundation area with a depth above 1.0 m increases by approximately 2.5 times when compared with 5-year TC event. The comparison of single-driven flood (storm tide flooding and rainstorm inundation) and compound flood hazards shows that simply accumulating every single-driven flood hazard to define the compound flood hazard may cause underestimation. For future research on compound flooding, copula function can be adopted to investigate the joint occurrence of storm tide and rainstorm to reveal the severity of extreme TC flood hazards.

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