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Dhaka city water logging hazards: area identification and vulnerability assessment through GIS-remote sensing techniques

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AbstractWater logging is one of the most detrimental phenomena continuing to burden Dhaka dwellers. This study aims to spatio-temporarily identify the water logging hazard zones within Dhaka Metropolitan area and assess the extent of their water logging susceptibility based on informal settlements, built-up areas, and demographical characteristics. The study utilizes integrated geographic information system (GIS)-remote sensing (RS) methods, using the Normalized Difference Vegetation Water and Moisture Index, distance buffer zone from drainage streams, and built-up distributions to identify waterlogged zones with a temporal extent, incorporating social and infrastructural attributes to evaluate water logging effects. These indicators were integrated into an overlay GIS method to measure the vulnerability level across Dhaka city areas. The findings reveal that south and south-western parts of Dhaka were more susceptible to water logging hazards. Almost 35% of Dhaka belongs to the high/very highly vulnerable zone. Greater number of slum households were found within high to very high water logging vulnerable zones and approximately 70% of them are poorly structured. The built-up areas were observed to be increased toward the northern part of Dhaka and were exposed to severe water logging issues. The overall findings reveal the spatio-temporal distribution of the water logging vulnerabilities across the city as well as its impact on the social indicators. An integrated approach is necessary for future development plans to mitigate the risk of water logging.
Title: Dhaka city water logging hazards: area identification and vulnerability assessment through GIS-remote sensing techniques
Description:
AbstractWater logging is one of the most detrimental phenomena continuing to burden Dhaka dwellers.
This study aims to spatio-temporarily identify the water logging hazard zones within Dhaka Metropolitan area and assess the extent of their water logging susceptibility based on informal settlements, built-up areas, and demographical characteristics.
The study utilizes integrated geographic information system (GIS)-remote sensing (RS) methods, using the Normalized Difference Vegetation Water and Moisture Index, distance buffer zone from drainage streams, and built-up distributions to identify waterlogged zones with a temporal extent, incorporating social and infrastructural attributes to evaluate water logging effects.
These indicators were integrated into an overlay GIS method to measure the vulnerability level across Dhaka city areas.
The findings reveal that south and south-western parts of Dhaka were more susceptible to water logging hazards.
Almost 35% of Dhaka belongs to the high/very highly vulnerable zone.
Greater number of slum households were found within high to very high water logging vulnerable zones and approximately 70% of them are poorly structured.
The built-up areas were observed to be increased toward the northern part of Dhaka and were exposed to severe water logging issues.
The overall findings reveal the spatio-temporal distribution of the water logging vulnerabilities across the city as well as its impact on the social indicators.
An integrated approach is necessary for future development plans to mitigate the risk of water logging.

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