Open Data Flood Mapping of Chao Phraya River Basin and Bangkok Metropolitan Region

Cooper, Richard T.

doi:10.9734/bjecc/2014/11872

Cited by 17 publications

(12 citation statements)

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“…They found that DEM grid spacing significantly affected mean TI. Cooper (2014) examined two approaches for Chao Phraya River basin and Bangkok Metropolitan region, Thailand. The first approach handled an up-to-date composite flood hazard map whereas the second explored TI m for delineating flood-prone areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Delineation of flood-prone areas using modified topographic index for a river basin

2020

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The modified topographic index (TI m ) based on digital elevation models (DEMs) was employed to delineate floodprone areas in Mahanadi basin, India. TI m and flood inundation maps were compared to obtain the threshold (t) beyond which the area is assumed to be inundated by flood and the exponent of the TI m . Scale dependence was also investigated to evaluate the sensitiveness of spatial resolution of the DEMs. DEMs of five resolutions, namely, ASTER global, SRTM, GMTED2010 (30 arc-seconds), GMTED 2010 (15 arc-seconds), and GMTED 2010 (7.5 arc-seconds), were used and ASTER global was preferred due to its low error compared to the remainder. Flood frequency analysis was conducted to obtain the relationship between flood-prone areas and flood magnitude. It was observed that (i) the exponent in the TI m showed little variation, (ii) t is reduced with reducing spatial resolution of the DEM, and (iii) error is also reduced as the DEMs' resolution is reduced. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited

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Section: Literature Reviewmentioning

confidence: 99%

Delineation of flood-prone areas using modified topographic index for a river basin

2020

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“…Although the CPRB has often faced annual floods [16], the areas at risk of flooding in the river basin were rarely assessed [17]- [19]. Therefore, flood-related studies should be conducted, particularly flood risk assessment and mapping.…”

Section: Introductionmentioning

confidence: 99%

Flood Risk Assessment for the Central River Basin of Thailand

Singkran

2020

Risk Analysis XII

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The cumulative flooding frequencies and the cumulative floods' consequences on lives and properties/ public utilities, observed over the 16-year period (2001-2016) in the Chao Phraya River Basin (CPRB) of Thailand, were used to preliminarily assess flood risks for the river basin. The estimated index (0-1) of flood risks was categorized into four classes, including low ( 0.12), moderate (0.13-0.32), high (0.33-0.62), and very high (0.63-1.00), and was mapped across the river basin using the ArcGIS program. Of the 151 districts located in the CPRB, four, three, and 10 districts showed very high, high, and moderate risks of flooding, respectively, whereas, the remaining 134 districts showed a low flood risk. Land use activities and man-made disturbances could influence the severity of the flood risk in the river basin. The findings are useful for the decision making by local administrations to prepare proper measures for flood risk management on a river basin scale.

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“…The IPCC's AR5 report highlights potential impacts to health, biodiversity, food security, and aggravation of existing social, economic and political tensions (Hijioka et al, 2014). Recurrent major flooding of Bangkok has occurred over the last century, with flooding typically reaching its peak towards the end of the southwest monsoon: either one or more causes, including runoff from the upper Chao Phraya River basin, rainfall from tropical storms passing over the BMR region and environs, and high tides are typically the cause of major flooding episodes in the BMR (Cooper, 2014). The southwest monsoon or rainy season over much of Thailand, including Bangkok, extends from mid-May to mid-October (Thai Meteorological Department, 2015).…”

Section: Introductionmentioning

confidence: 99%

Projection of future precipitation extremes across the Bangkok Metropolitan Region

Cooper

2019

Heliyon

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There is a pressing need to develop local-scale climate projection profiles for supporting climate impact assessments. This study contributes plausible future precipitation scenarios for the Bangkok Metropolitan Region (BMR), which builds on the existing evidence base that projects increasing future precipitation. Meteorological data sets from 16 stations located within the BMR and nearby provinces were used for bias correcting five regional climate model scenarios, and future extreme indices were graphed and spatially interpolated to interpret how precipitation extremes may develop to the end of the 21st century. Results indicate that over the coming century, total annual rainfall will increase, with the volume and number of days with heavy/very heavy rainfall also increasing. Total monthly and monthly heavy/very heavy rainfall are projected to increase in the late monsoon, and monthly five-day cumulative and one-day maxima project higher amounts of late monsoonal rains. Spatial interpolation of selected indices indicate substantial projected increases in extreme rainfall across the BMR, with its northern part receiving the heaviest amounts of precipitation. In comparison to the past period (1980–2009), over the long-term (2070–2098) the total monthly heavy/very heavy precipitation during October is projected to increase by 100–120% over Pathum Thani province and 80–100% over the remainder of the BMR. Together with the study's associated R and Python scripts, this study aims to provide an open and reproducible approach to deriving plausible future projections of climate variables at the city scale.

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Open Data Flood Mapping of Chao Phraya River Basin and Bangkok Metropolitan Region

Cited by 17 publications

References 0 publications

Delineation of flood-prone areas using modified topographic index for a river basin

Delineation of flood-prone areas using modified topographic index for a river basin

Flood Risk Assessment for the Central River Basin of Thailand

Projection of future precipitation extremes across the Bangkok Metropolitan Region

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