Flood Hazard Assessment of Bago River Basin, Myanmar

Zin, Win Win; Kawasaki, Akiyuki; Takeuchi, Wataru; San, Zin Mar Lar Tin; Htun, Kyaw; Aye, Thet Hnin; Win, Shelly

doi:10.20965/jdr.2018.p0014

Cited by 27 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is why the distribution of floodplain inundation can be sporadic at low reoccurrence interval of flood. However, at later stages of flood as water levels continue to rise, floodplains get closer to major river and meet flows directly coming from the river (Fantin-Cruz et al 2011;Karim et al 2016;Yin et al 2013;Zin et al 2018). Then, a vast expanse of the floodplain is inundated.…”

Section: Inundation Mapsmentioning

confidence: 99%

“…The application of hydraulic model in flood hazard assessment is becoming popular. We can mention the studies by Afifi et al (2019), Zin et al (2018), and Tyrna et al (2018) that applied different hydraulic models in studying flood hazard. At the same time, land use-based and communitybased flood vulnerability study is also getting prioritised.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flood Hazard, Vulnerability and Risk Assessment for Different Land Use Classes Using a Flow Model

2019

View full text Add to dashboard Cite

This study is concerned with flood risk that can be assessed by integrating GIS, hydraulic modelling and required field information. A critical point in flood risk assessment is that while flood hazard is the same for a given area in terms of intensity, the risk could be different depending on a set of conditions (flood vulnerability). Clearly, risk is a function of hazard and vulnerability. This study aims to introducing a new approach of assessing flood risk, which successfully addresses this above-mentioned critical issue. The flood risk was assessed from flood hazard and vulnerability indices. Two-dimensional flood flow simulation was performed with Delft3D model to compute floodplain inundation depths for hazard assessment. For the purpose of flood vulnerability assessment, elements at risk and flood damage functions were identified and assessed, respectively. Then, finally flood risk was assessed first by combining replacement values assessed for the elements and then using the depth-damage function. Applying this approach, the study finds that areas with different levels of flood risk do not always increase with the increase in return period of flood. However, inundated areas with different levels of flood depth always increase with the increase in return period of flood. The approach for flood risk assessment adopted in this study successfully addresses the critical point in flood risk study, where flood risk can be varied even after there is no change in flood hazard intensity.

show abstract

Section: Inundation Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flood Hazard, Vulnerability and Risk Assessment for Different Land Use Classes Using a Flow Model

2019

View full text Add to dashboard Cite

show abstract

“…Various numerical models have been used to implement the shallow‐water equations in simulations of outburst flood inundation and dynamics for hazard assessment, infrastructure planning, and geomorphic studies (e.g., Cook & Merwade, ; Larsen & Lamb, ; Salvatore et al, ; Zin et al, ), but few models are well‐suited to investigations of spatial and temporal variations in flow characteristics over large areas of rugged topography. One‐dimensional models like HEC‐RAS (U.S. Army Corps of Engineers) perform poorly when applied to rugged mountainous terrain (Alho & Aaltonen, ; Denlinger & O'Connell, ; Horritt & Bates, ) and are not useful for characterizing rapidly varying flow direction or lateral stresses along valley walls.…”

Section: Introductionmentioning

confidence: 99%

The Geomorphic Impact of Outburst Floods: Integrating Observations and Numerical Simulations of the 2000 Yigong Flood, Eastern Himalaya

2019

View full text Add to dashboard Cite

Outburst floods in mountainous landscapes traverse complex topography and interact with the channel and valley walls, producing intense flow hydraulics that drive geomorphic change and impact people and infrastructure. Evidence of modern and ancient outburst floods is scattered around the eastern Himalaya, but hydraulics related to these geomorphic features are uncharacterized, limiting our understanding of the role of large floods in long‐term evolution of the region. Here we combine remote and field observations of the 2000 Yigong River landslide‐dam outburst flood with 2‐D numerical flood simulations using the software GeoClaw. Modeling results agree with field evidence to the extent that we judge the simulated hydraulics to be relevant to flood hazard and geomorphic investigations. Results show that the hydraulics of outburst floods through rugged topography differ from those expected for nonflood flows, in magnitude and in the spatial patterns of flow speed, direction, and shear stress. The flood produced sustained high bed shear stresses capable of plucking meter‐scale blocks immediately downstream of breach, in the steep Tsangpo Gorge, and in isolated locations associated with valley constrictions. Simulated shear stresses suggest that outburst floods deposited numerous kilometer‐scale boulder bars observed along the flood pathway, armoring the bed, increasing channel roughness, and inhibiting incision in locations that would not be predicted for nonflood flows. Our findings highlight the potential for different magnitude flows to promote not only different amounts, but also different patterns of bedrock erosion, with implications for the role of prehistoric megafloods in the topographic evolution of the eastern Himalaya.

show abstract

“…The typical flood modelling consists two parts: (i) rainfall-runoff modelling, and (ii) hydraulic simulation [26][27][28]. The authors of [29] coupled two models from Hydrologic Engineering Center (HEC) of which HEC-HMS output is used as input to HEC-RAS for flood mapping using Geographical Information System (GIS) and remote sensing data. Such coupling controlled by upstream boundary conditions, i.e., discharge or water level [29] and less useful in emergency situations.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [29] coupled two models from Hydrologic Engineering Center (HEC) of which HEC-HMS output is used as input to HEC-RAS for flood mapping using Geographical Information System (GIS) and remote sensing data. Such coupling controlled by upstream boundary conditions, i.e., discharge or water level [29] and less useful in emergency situations. It led to the development of a commercial integrated one-dimensional and two-dimensional (1D2D) model, e.g., SOBEK, MIKE Flood, and Flood Modeller.…”

Section: Introductionmentioning

confidence: 99%

Application of Satellite Rainfall Products for Flood Inundation Modelling in Kelantan River Basin, Malaysia

et al. 2019

View full text Add to dashboard Cite

The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in hydrological modelling and flood inundation mapping. Four SRPs, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) - Early, - Late (IMERG-E, IMERG-L), Global Satellite Mapping of Precipitation-Near Real Time (GSMaP-NRT), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks- Cloud Classification System (PERSIANN-CCS) and rain gauge data were used as the primary input to a hydrological model, Rainfall-Runoff-Inundation (RRI) and the simulated flood level and runoff were compared with the observed data using statistical metrics. GSMaP showed the best performance in simulating hourly runoff with the lowest relative bias (RB) and the highest Nash-Sutcliffe efficiency (NSE) of 4.9% and 0.79, respectively. Meanwhile, the rain gauge data was able to produce runoff with −12.2% and 0.71 for RB and NSE, respectively. The other three SRPs showed acceptable results in daily discharge simulation (NSE value between 0.42 and 0.49, and RB value between −23.3% and −31.2%). The generated flood map also agreed with the published information. In general, the SRPs, particularly the GSMaP, showed their ability to support rapid flood forecasting required for early warning of floods.

show abstract

Flood Hazard Assessment of Bago River Basin, Myanmar

Cited by 27 publications

References 27 publications

Flood Hazard, Vulnerability and Risk Assessment for Different Land Use Classes Using a Flow Model

Flood Hazard, Vulnerability and Risk Assessment for Different Land Use Classes Using a Flow Model

The Geomorphic Impact of Outburst Floods: Integrating Observations and Numerical Simulations of the 2000 Yigong Flood, Eastern Himalaya

Application of Satellite Rainfall Products for Flood Inundation Modelling in Kelantan River Basin, Malaysia

Contact Info

Product

Resources

About