@article{fdi:010076081,
  title = {{P}rojected changes of inundation of cyclonic storms in the {G}anges-{B}rahmaputra-{M}eghna delta of {B}angladesh due to {SLR} by 2100},
  author = {{R}ahman, {S}. and {I}slam, {A}kms and {S}aha, {P}. and {T}azkia, {A}. {R}. and {K}rien, {Y}ann and {D}urand, {F}abien and {T}estut, {L}. and {I}slam, {G}. {M}. {T}. and {B}ala, {S}. {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}lmost every year, {B}angladesh experiences disasters such as tropical cyclones, storm surges, coastal erosion or floods. {T}ropical cyclones originate from the {N}orth {I}ndian {O}cean and often cause devastating flood inundations in {B}angladesh. {S}torm surges of the {B}ay of {B}engal ({BOB}) are larger compared to other regions of the world for similar cyclones due to amplification by the shallow water depth, huge continental shelf and convergent coastlines. {T}his scenario of inundation for such storm surges in the future when the sea level rise ({SLR}) occurs due to global warming will be different from the present. {T}he densely populated coastal region of {B}angladesh is likely to become more vulnerable in the future due to {SLR}. {D}isaster risks can be reduced if storm surges can be predicted well ahead. {T}o assess the possible changes of inundation in the future, a widely used coastal model, {D}elft3{D}, has been applied for this {BOB} region. {T}he model has been validated for the storm surge of three recent devastating cyclones, namely, {S}idr, {A}ila and {R}oanu in the southern coast of {B}angladesh. {T}he validated model has been run to produce inundation maps and statistics for cyclonic storm surges such as {S}idr, {A}ila and {R}oanu and probable {SLR}. {T}hree possible {SLR} boundary conditions are chosen from the business-as-usual climate scenario representative concentration pathway 8.5 with values of 0.5m (lower limit), 1m (upper limit) and 1.5m (extreme case, considering the subsidence and a rapid collapse of the {A}ntarctic ice sheet). {I}t is found that a category 4 cyclone such as cyclone {S}idr would inundate 2.6%, 3.67% and 5.84% of the area of the country if the {SLR} is 0.5, 1 and 1.5m, which will affect the livelihood of nearly 4.1, 7.0 and 9.1 million people of {B}angladesh, respectively. {I}t will also inundate up to 21.0%, 42.1% and 65.1% of the {S}undarbans mangrove forest, which will undoubtedly affect the ecology of this unique ecosystem.},
  keywords = {{BENGLADESH} ; {GANGE} {BRAHMAPUTRE} {MEGHNA} {DELTA}},
  booktitle = {},
  journal = {{J}ournal of {E}arth {S}ystem {S}cience},
  volume = {128},
  numero = {6},
  pages = {art. 145 [11 p.]},
  ISSN = {2347-4327},
  year = {2019},
  DOI = {10.1007/s12040-019-1184-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076081},
}