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DOI10.1016/j.crm.2019.100207
Inundation modelling for Bangladeshi coasts using downscaled and bias-corrected temperature
Hasan M.K.; Kumar L.; Gopalakrishnan T.
发表日期2020
ISSN2212-0963
起始页码2451
结束页码2467
卷号27
英文摘要Coastal areas in Bangladesh are at severe risk of inundation by sea-level rise (SLR). Effective adaptation plan requires information about extent and level of projected inundation, which is yet to be localized for Bangladeshi coasts. We used downscaled and bias-corrected temperatures from 28 global climate models to predict SLR around Bangladesh. Based on the extended semi-empirical approach to SLR modelling, this study shows that by 2100, temperature will increase by 1.7 °C (RCP4.5) to 4.4 °C (RCP8.5) relative to 1986–2005 (25.89 °C) and corresponding sea-level will rise by 0.77 m (RCP4.5) to 1.15 m (RCP8.5). The sensitivity of SLR to temperature over 1980–2100 is 2.13 to 3.75 mm/year/°C. Consequently, 2098 km2 of Bangladesh is likely to be inundated under 1 m SLR, affecting the coast and river-banks with potential for significant indirect effects, including increased soil and water salinity and underground water contamination. This study provides modelled projection of SLR and inundation for the 21st century, and thus, it should provide useful information for adaptation planning and SLR preparedness in Bangladesh. © 2020 The Authors
英文关键词Digital elevation model; Global climate models; Quantile mapping; Sea-level rise; Semi-empirical methods; Temperature projection
来源期刊Climate Risk Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/183199
作者单位School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia; Department of Agricultural Extension and Rural Development, Patuakhali Science and Technology University, Dumki 8602, Patuakhali, Bangladesh
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Hasan M.K.,Kumar L.,Gopalakrishnan T.. Inundation modelling for Bangladeshi coasts using downscaled and bias-corrected temperature[J],2020,27.
APA Hasan M.K.,Kumar L.,&Gopalakrishnan T..(2020).Inundation modelling for Bangladeshi coasts using downscaled and bias-corrected temperature.Climate Risk Management,27.
MLA Hasan M.K.,et al."Inundation modelling for Bangladeshi coasts using downscaled and bias-corrected temperature".Climate Risk Management 27(2020).
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