Future fluvial flood risks in <scp>C</scp>entral <scp>V</scp>ietnam assessed using global super‐high‐resolution climate model output

Nam, Do Hoai; Udo, Keiko; Mano, Akira

doi:10.1111/jfr3.12096

Cited by 15 publications

(7 citation statements)

References 35 publications

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“…In this study, flood risk is assessed with the integration of various indicators of flood depth, population density, land use category, distance to rivers, poverty rate, and road density using AHP and spatial analysis techniques. Some previous studies in the field of flood risk analysis in Vietnam focused on the flood hazard assessments (for example, [17,39,78,79]). The present study used AHP method and spatial techniques to combine flood inundation map with flood exposure and vulnerability data to provide an integrated flood risk assessment map.…”

Section: Discussionmentioning

confidence: 99%

Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

et al. 2020

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Vietnam has been extensively affected by floods, suffering heavy losses in human life and property. While the Vietnamese government has focused on structural measures of flood defence such as levees and early warning systems, the country still lacks flood risk assessment methodologies and frameworks at local and national levels. In response to this gap, this study developed a flood risk assessment framework that uses historical flood mark data and a high-resolution digital elevation model to create an inundation map, then combined this map with exposure and vulnerability data to develop a holistic flood risk assessment map. The case study is the October 2010 flood event in Quang Binh province, which caused 74 deaths, 210 injuries, 188,628 flooded properties, 9019 ha of submerged and damaged agricultural land, and widespread damages to canals, levees, and roads. The final flood risk map showed a total inundation area of 64,348 ha, in which 8.3% area of low risk, 16.3% area of medium risk, 12.0% area of high risk, 37.1% area of very high risk, and 26.2% area of extremely high risk. The holistic flood risk assessment map of Quang Binh province is a valuable tool and source for flood preparedness activities at the local scale.

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Section: Discussionmentioning

confidence: 99%

Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

et al. 2020

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“…Moreover, the ability to predict and compute future flooding is one of the drawbacks of the methods. (2) Using numerical models to simulate flood flows, aiming to obtain flood characteristics over floodplains for mapping flood hazards (Mani et al 2014;Nam et al 2015;Nga et al 2018;Shrestha et al 2019a). This approach is commonly used due to its ability to achieve good and reliable results, as well as its flexibility; via this method, flood behaviors and characteristics are clearly investigated.…”

Section: Introductionmentioning

confidence: 99%

Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries

Trinh

Molkenthin

2021

Nat Hazards

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This paper presents an integrated approach to simulate flooding and inundation for small- and medium-sized coastal river basins where measured data are not available or scarce. By coupling the rainfall–runoff model, the one-dimensional and two-dimensional models, and the integration of these with global tide model, satellite precipitation products, and synthetic aperture radar imageries, a comprehensive flood modeling system for Tra Bong river basin selected as a case study was set up and operated. Particularly, in this study, the lumped conceptual model was transformed into the semi-distributed model to increase the parameter sets of donor basins for applying the physical similarity approach. The temporal downscaling technique was applied to disaggregate daily rainfall data using satellite-based precipitation products. To select an appropriate satellite-derived rainfall product, two high temporal-spatial resolution products (0.1 × 0.1 degrees and 1 h) including GSMaP_GNRT6 and CMORPH_CRT were examined at 1-day and 1-h resolutions by comparing with ground-measured rainfall. The CMORPH_CRT product showed better performance in terms of statistical errors such as Correlation Coefficient, Probability of Detection, False Alarm Ratio, and Critical Success Index. Land cover/land use, flood extent, and flood depths derived from Sentinel-1A imageries and a digital elevation model were employed to determine the surface roughness and validate the flood modeling. The results obtained from the modeling system were found to be in good agreement with collected data in terms of NSE (0.3–0.8), RMSE (0.19–0.94), RPE (− 213 to 0.7%), F1 (0.55), and F2 (0.37). Subsequently, various scenarios of flood frequency with 10-, 20-, 50-, and 100-year return periods under the probability analysis of extreme values were developed to create the flood hazard maps for the study area. The flood hazards were then investigated based on the flood intensity classification of depth, duration, and velocity. These hazard maps are significantly important for flood hazard assessments or flood risk assessments. This study demonstrated that applying advanced hydrodynamic models on computing flood inundation and flood hazard analysis in data-scarce and ungauged coastal river basins is completely feasible. This study provides an approach that can be used also for other ungauged river basins to better understand flooding and inundation through flood hazard mapping.

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“…Various studies conducted over the past few years have estimated the potential impacts of a changing climate on river erosion. Several studies have implemented statistical and spatial downscaling of climate data to provide input for hydrologic assessments (Caruso, Newton, King, & Zammit, ; Laforce, Simard, Leconte, & Brissette, ; Nam, Udo, & Mano, ; Walker, Hay, Markstrom, & Dettinger, ). Direct numerical assessments of erosion risk in response to climate model output have been conducted, particularly on either very large or mountainous basins (Goode et al, ; Lotsari, Aaltonen, Veijalainen, Alho, & Käyhkö, ; Praskievicz, ; Verhaar, Biron, Ferguson, & Hoey, ).…”

Section: Introductionmentioning

confidence: 99%

Continuous prediction of clay‐bed stream erosion in response to climate model output for a small urban watershed

Brennan

Parsapour-Moghaddam

Rennie

et al. 2018

Hydrological Processes

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The response of the semi-alluvial clay-bed Watts Creek is assessed subject to climate change.Climate impacts are expected to have regional variability, and few studies have assessed the impacts of future climate in a small urban watershed. The 21-km 2 watershed located in Ottawa, Ontario, Canada, is highly urbanized (68%) and agricultural (20%) with limited forest cover (12%).Continuous simulations were performed using the SWMHYMO lumped hydrologic modelling platform for the open water year, excluding spring freshet (April 1 to October 31). A shear stress exceedance and stream power erosion routine was added to the platform to calculate erosion potential. To account for uncertainty in the collected data, 9 different field datasets were used to calibrate the model, each leading to a distinct set of calibrated parameter values. The difference between the datasets lies in the choice of the rating curves and calibration period.The 2041-2080 precipitation outputs of the 4th version of the Canadian Regional Climate Model (CanRCM4) ran under representative concentration pathways (RCPs) 4.5 and 8.5 at the MacDonald Cartier International Airport were downscaled using quantile matching and then used as input to the continuous hydrologic model. For each set of calibrated parameters, a cumulative effective work index based on the reach-averaged shear stress was calculated for Watts Creek using both the historic and projected future (2041-2080) flows, using a bed material critical shear stress for entrainment of 3.7 Pa. These results suggest an increase of 75% (respectively 139%) under RCP4.5 (respectively RCP8.5) in cumulative effective work index compared with historic conditions for the average measured bed strength. The work index increase is driven by an increased occurrence of above-threshold events and, more importantly, by the increased frequency of large events. The predicted flow regime under climate change would significantly alter the erosion potential and stability of Watts Creek.

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Future fluvial flood risks in Central Vietnam assessed using global super‐high‐resolution climate model output

Cited by 15 publications

References 35 publications

Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries

Continuous prediction of clay‐bed stream erosion in response to climate model output for a small urban watershed

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