Evaluation of Flooding Risk in Greater Dhaka District Using Satellite Data and Geomorphological Land Classification Map

Sayed, Marju Ben; Haruyama, Shigeko

doi:10.4236/gep.2016.49009

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…Barua and Ast have also shown the monsoon flood inundation for the year 1998 [98]. Similarly, Sayed and Haruyama 2016 have reported that 70% of the Greater Dhaka area is under moderate to very high flood hazard zone [99]. Several national and international electronic media have also shown the on-street historic flood scenario due to sudden and extreme rainfall events every year (Figure 11).…”

Section: Validationmentioning

confidence: 90%

Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing

et al. 2020

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Rapid urban growth processes give rise to impervious surfaces and are regarded as the primary cause of urban flooding or waterlogging in urban areas. The high rate of urbanization has caused waterlogging and urban flooding in many parts of Dhaka city. Therefore, the study is undertaken to quantify the changes in land use/land cover (LULC) and urban runoff extent based on the Natural Resources Conservation Service (NRCS) Curve Number (CN) during 1978–2018. The five-decadal LULC has been analyzed using three-generation Landsat time-series data considering six different classes, namely agriculture, built-up, wetland, open land, green spaces, and water bodies for the years 1978, 1988, 1998, 2007, and 2018. Significant changes in LULC for the study area from 1978–2018 are observed as 13.1%, 4.8%, and 7.8% reduction in agricultural land, green spaces, and water bodies, respectively, and a 22.1% increase in the built-up area is estimated. Within Dhaka city, 14.6%, 16.0%, and 12.3% reduction in agricultural land, green spaces, and water bodies, respectively, and a radical increase of 41.9% in built-up area are reckoned. The decadal runoff assessment has been carried out using the NRCS-CN method, considering an extreme rainfall event of 341 mm/day (13 September 2004). The catchment area under very high runoff category is observed as 159.5 km2 (1978) and 318.3 km2 (2018), whereas, for Dhaka city, the setting is dynamic as the area under the very high runoff category has increased from 74.24 km2 (24.44%) to 174.23 km2 (57.36%) in years 1978 and 2018, respectively, and, mostly, the very high runoff potential areas correspond to the dense built-up surfaces.

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Section: Validationmentioning

confidence: 90%

Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing

et al. 2020

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“…It is located on the downstream of three major international river basins named the Ganges, Brahmaputra, and Meghna. As a consequence, 80% of the land area is considered as floodplains and thus frequently flooded with widespread damages around the year [3]. Annual average rainfall varies from 1200 mm in the west to up to 5800 mm in the northeast, making the flood damage even worse [4].…”

Section: Introductionmentioning

confidence: 99%

Flood Maps and Bank Shifting of Dharla River in Bangladesh

Bose¹,

Navera²

2017

GEP

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Bangladesh is prone to severe flooding as being located at the confluence of three mighty rivers named the Ganges, Brahmaputra, and Meghna. As a consequence, river flooding and erosion are common natural disasters that severely affect the landscape, lives and economy of the country. Dharla River, one of the trans-boundary rivers originated in the Himalayas, along with Brahmaputra River has a great influence on the recurring floods and erosion in north-western Bangladesh. Almost in every year, excessive erosion and embankment damages caused by Dharla render a thousand of people homeless with massive loss of crops and poultries. As per the environmentalists, this is a matter of huge concern as development of accurate flood maps and erosion prediction for Dharla River has been very challenging. In this study, the flood map and Dharla River bank shifting study have been developed by using HEC-RAS 4.1.0 hydrodynamic model and Landsat satellite images. In addition, the HEC-GeoRAS was used to establish the river reach for HEC-RAS. The calibration and validation have been performed using the observed and simulated water levels for the years of 2013 and 2014 respectively. The HEC-RAS flood water level output was used in HEC-GeoRAS for raster interpolation followed by overlain onto the land surface elevation of the study area. Then, the difference between water level interpolation and land elevation surfaces has been considered as a depth of inundation which is performed in Arc-Map 10.2. Flood maps have been generated for the years 2010, 2013, and 2014 for highest water level of each year. The erosion prone areas have been indicated by analyzing bank shifting of Dharla River for the years 1987, 1997, 2007, and 2017 by digitizing the satellite images in Arc-GIS 10.2. From the observation it has been found that the course of the Dharla River has been shifted vastly since 1987 to 2017 due to erosion.

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Development of digital elevation model for assessment of flood vulnerable areas using Cartosat‐1 and GIS at Thamirabarani river, Tamilnadu, India

Sudalaimuthu

Johnny

Ramachandran

et al. 2022

Environmental Quality Mgmt

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In recent years, a considerable occurrence of floods at global level impacts the occupation and various segments of the economy. Flood vulnerability is the key paradigm in flood menace management. Assessment of flood vulnerability is essential to investigate the hypothetical onsets of vulnerability. Recent flood inundation in Thamirabarani river basin in Tirunelveli district, Tamil Nadu has caused devastating impacts to the lives around the river basin area. The proposed study integrated remote sensing and GIS techniques to produce flood map of flood inundation area in the nearby Thamirabarani river basin using Cartosat-1 Satellite based Digital Elevation Model (DEM) derived by means of Leica Photogrammetry Suite to identify flood prone areas. A flow model was designed with the aid of DEM. The DEM classified the flood prone zones into high risk, medium risk and low risk zones using equal interval of classification based on elevation (buffer distance) from the river basin. Based on the nature and extent of flood, the remedial measures were classified as short-term, medium-term and long-term measures. The proposed study has recommended some flood mitigation remedial measures to the district administration of Tirunelveli for managing the flood disaster caused during the monsoon rainfall.

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Evaluation of Flooding Risk in Greater Dhaka District Using Satellite Data and Geomorphological Land Classification Map

Cited by 9 publications

References 7 publications

Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing

Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing

Flood Maps and Bank Shifting of Dharla River in Bangladesh

Development of digital elevation model for assessment of flood vulnerable areas using Cartosat‐1 and GIS at Thamirabarani river, Tamilnadu, India

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