Cyclone vulnerability assessment in the coastal districts of Bangladesh

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23555 - e23555

Published: Dec. 14, 2023

This research aims to assess the vulnerability cyclones in coastal regions of Bangladesh, employing a comprehensive framework derived from Intergovernmental Panel on Climate Change (IPCC, 2007). The study considers total eighteen factors, categorized into three critical dimensions: exposure, sensitivity, and adaptive capacity. These factors are crucial understanding potential impact region. In order develop cyclone map, Principal Component Analysis (PCA) was applied, primarily focusing dimensions sensitivity findings this analysis revealed that capacity components accounted for significant percentage variance data, explaining 90.00 % 90.93 variance, respectively. Despite lack details about data collection, identified specific contributing significantly each dimension. Notably, proximity coastline emerged as highly influential factor determining exposure. results indicate certain areas, such Jessore, Khulna, Narail, Gopalgonj, Bagerhat, exhibit low exposure cyclones, whereas like Chandpur Lakshmipur face high level Sensitivity found be most with Noakhali, Lakshmipur, being sensitive regions. Adaptive observed vary significantly, values near sea, particularly locations Cox's Bazar, Shatkhira, Bhola, farther coast. Overall, very Chandpur, Jessore moderate Barisal, Jhalokati. expected provide valuable insights inform decision-makers authorities tasked managing consequences

Language: Английский

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City and Water Risk: Accumulated Runoff Mapping Analysis as a Tool for Sustainable Land Use Planning

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1345 - 1345

Published: July 5, 2023

The complex integration of water and flood risk management, climate change adaptation, sustainable planning requires advanced, dynamic tools that are unavailable to most offices. This paper aims demonstrate the available GIS technologies large, variable, diverse datasets (big data) already allow us create effective, easy-to-use, and, importantly, cross-sectorial holistic integrate issues related planning, adaptation change. Resulting from an interdisciplinary study districts in Kraków, Poland, which have been heavily affected by pluvial floods recent years, accumulated runoff mapping analysis method proposed this can be considered effective tool used at initial stage assessment above all, for spatial urban design. accounts a correlation development, land cover, hydrological conditions, as well their impact on vulnerability climate, while integrating environmental, urban, social amenities. Intended preliminary phases, it uses open-source software data, which, although giving approximate volumes, do not require advanced calculations or costly time-consuming field research. allows studying alternative scenarios support cross-sectorial, inclusive, discussion new developments, Most reduce, if eliminate, issuing decisions may negative impacts areas enhance resilience before more sophisticated, detailed, methods ready implementation.

Language: Английский

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Mapping Flood Susceptibility and Risk in the Ganges Tidal Floodplain Utilizing a Weighted Factor Analysis Model

Springer natural hazards, Journal Year: 2024, Volume and Issue: unknown, P. 69 - 89

Published: Jan. 1, 2024

Language: Английский

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Dynamic flood risk prediction in Houston: a multi-model machine learning approach

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

Language: Английский

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Contribution of flood early warning response measures in reducing flood effects in Kilosa District, Tanzania

Climate Services, Journal Year: 2024, Volume and Issue: 37, P. 100534 - 100534

Published: Dec. 13, 2024

Language: Английский

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