Tropical cyclones and their devastating impacts are of great concern to coastal communities globally.An appropriate approach integrating climate change scenarios at local scales is essential for producing detailed ris...Tropical cyclones and their devastating impacts are of great concern to coastal communities globally.An appropriate approach integrating climate change scenarios at local scales is essential for producing detailed risk models to support cyclone mitigation measures.This study developed a simple cyclone risk-modelling approach under present and future climate change scenarios using geospatial techniques at local scales,and tested using a case study in Sarankhola Upazila from coastal Bangladesh.Linear storm-surge models were developed up to 100-year return periods.A local sea level rise scenario of 0.34 m for the year 2050 was integrated with surge models to assess the climate change impact.The resultant storm-surge models were used in the risk-modelling procedures.The developed risk models successfully identified the spatial extent and levels of risk that match with actual extent and levels within an acceptable limit of deviation.The result showed that cyclone risk areas increased with the increase of return period.The study also revealed that climate change scenario intensified the cyclone risk area by 5–10%in every return period.The findings indicate this approach has the potential to model cyclone risk in other similar coastal environments for developing mitigation plans and strategies.展开更多
基金This study was supported by the International Postgraduate Research Scholarship(IPRS)and the University of Queensland(UQ),Australia.
文摘Tropical cyclones and their devastating impacts are of great concern to coastal communities globally.An appropriate approach integrating climate change scenarios at local scales is essential for producing detailed risk models to support cyclone mitigation measures.This study developed a simple cyclone risk-modelling approach under present and future climate change scenarios using geospatial techniques at local scales,and tested using a case study in Sarankhola Upazila from coastal Bangladesh.Linear storm-surge models were developed up to 100-year return periods.A local sea level rise scenario of 0.34 m for the year 2050 was integrated with surge models to assess the climate change impact.The resultant storm-surge models were used in the risk-modelling procedures.The developed risk models successfully identified the spatial extent and levels of risk that match with actual extent and levels within an acceptable limit of deviation.The result showed that cyclone risk areas increased with the increase of return period.The study also revealed that climate change scenario intensified the cyclone risk area by 5–10%in every return period.The findings indicate this approach has the potential to model cyclone risk in other similar coastal environments for developing mitigation plans and strategies.
