Flood Risk Areas Simulation Using Swat and Gumbel Distribution Method in Yang Catchment, Northeast Thailand

Prasanchum, Haris; Lohpaisankrit, Worapong

doi:10.21163/gt_2020.152.04

Cited by 6 publications

(7 citation statements)

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“…This method can be applied in the concept of Cambodia since data are finable (Mohamed, 2019). Besides, the SWAT and GUMBEL distribution method used for simulating flood risk areas and creating the river route based on DEM was carried out in Yang catchment, Thailand (Prasanchum et al, 2020). SWAT model can simulate the watershed delineation to distinct the entire areas into subcatchments, which allows users to distinguish the discharge of each catchment.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, SWAT (Soil and Water Assessment) is a semi-distributed model interfaced with GIS that can identify surface runoff. SWAT can also use observed hydrological data to simulate the discharge, which is compatible with the actual data (Prasanchum et al, 2020) should be used. Still, HEC-RAS and RS combined with GIS provides an ability for flood mapping successfully.…”

Section: Rs Application On Flood Analysis Over Cambodiamentioning

confidence: 99%

See 1 more Smart Citation

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem¹,

Tantanee²

2020

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Section: Discussionmentioning

confidence: 99%

Section: Rs Application On Flood Analysis Over Cambodiamentioning

confidence: 99%

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem¹,

Tantanee²

2020

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“…This paper presents a method to derive apportionment factors that are useful in assigning average annual residential building ood loss to the homeowner or the insurer. Flood loss events are modeled at the individual building level using a Monte Carlo simulation [17,18,19,20,21,22,23,24], in which the ood hazard is characterized by the Gumbel extreme value distribution function [25,26,27,28,29]. A depth-damage function (DDF) from United States Army Corps of Engineers [30] is used to estimate the building loss of each ood event, which is apportioned to the homeowner or the insurer.…”

Section: Introductionmentioning

confidence: 99%

Apportionment of Average Annual Flood Loss between Homeowner and Insurer

Rahim

Friedland

Mostafiz

et al. 2022

Preprint

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Accurate economic loss assessment for natural hazards is vital for planning, mitigation, and actuarial purposes. The widespread and costly nature of flood, with the economically disadvantaged disproportionately victimized, makes flood loss assessment particularly important. A shortcoming in existing flood loss models is absence of partitioning the building economic value of average annual loss (AAL) into that borne by the homeowner and by flood insurance. This research models the flood AAL incurred by the homeowner vs. by the insurer, focusing on the National Flood Insurance Program in the U.S., using Monte Carlo simulation at the individual homeowner scale. A hypothetical case study reveals that a $1500 or $3000 deductible is associated with a homeowner portion of 13 or 24 percent of the AAL, respectively, with homeowner proportion relatively insensitive to the combinations of coverage, AAL, and increase in first-floor height evaluated. In general, results inform the proactive decision-making process that allows homeowners to self-assess their degree of preparation and vulnerability to the devastating economic impacts of flood. By upscaling the results to the community level, results also assist planners and leaders in understanding the degree of community-level flood vulnerability and resilience, thereby affording possibilities for improved preparation.

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“…As a result, the analysis is trustworthy. SWAT has been used in Thailand to examine and analyze the quantity of streamflow in various scenarios [14,15], and for the future management [16,17] of water resources in watersheds and reservoirs [18]. The precision of SWAT calculation results could improve when compared to the real measurements and this was accomplished by employing the SWAT-CUP model and the SUFI-2 approach [19] to choose the most appropriate sensitivity variables for analyzing the studied watershed regions.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Rule Curves and Streamflow under Climate Change for Multipurpose Reservoir Operation Using Honey-Bee Mating Optimization

Songsaengrit

Kangrang

2022

Sustainability

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Climate change in the watershed above the reservoir has a direct impact on the quantity of streamflow that enters the reservoir and the management of water resources. Developing effective reservoir rule curves helps reduce the risk of future failures of water resource management. The purpose of this study was to analyze the influence of climate change on the volume of streamflow entering the Ubolratana Reservoir, Thailand during the years 2020–2049 with climate simulations from the CIMP5 model under RCP4.5 and RCP8.5 scenarios. SWAT models were used to forecast future reservoir streamflow quantities. Moreover, suitable reservoir rule curves using the Honey-Bee Mating Optimization (HBMO) were developed and the effectiveness of the new rule curves was assessed. According to the research findings, the average yearly streamflow in the future apparently grew from 32% in the base years (2011–2019) and 65% under the RCP4.5 and RCP8.5 scenarios, respectively. It was discovered that the average monthly streamflow was higher in the rainy season than in the dry season. Both of the projected situations have a form compatible with the present rule curves in the section of the new reservoir rule curves generated with the HBMO. Furthermore, the newly constructed rule curves may allow the reservoir to keep more water during the rainy season, thereby assuring that there will be adequate water during the following dry season. Additionally, during the dry season, the reservoir was able to release more water that would be able to reduce the water shortage, indicating that it was able to effectively reduce the amount of water shortage and average overflow under RCP4.5 and RCP8.5 situations.

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Flood Risk Areas Simulation Using Swat and Gumbel Distribution Method in Yang Catchment, Northeast Thailand

Cited by 6 publications

References 0 publications

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Apportionment of Average Annual Flood Loss between Homeowner and Insurer

Dynamic Rule Curves and Streamflow under Climate Change for Multipurpose Reservoir Operation Using Honey-Bee Mating Optimization

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