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Impact Assessment of Climate Change and Sea Level Rise on ...

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2. DATA <str<strong>on</strong>g>and</str<strong>on</strong>g> MODEL<br />

2.1 Data Collecti<strong>on</strong> <str<strong>on</strong>g>and</str<strong>on</strong>g> Compilati<strong>on</strong><br />

Reliable data are prerequisite to carry out flood frequency analysis, establish base c<strong>on</strong>diti<strong>on</strong>s<br />

<strong>on</strong> floods <str<strong>on</strong>g>and</str<strong>on</strong>g> l<str<strong>on</strong>g>and</str<strong>on</strong>g> type. Available water level <str<strong>on</strong>g>and</str<strong>on</strong>g> water flow time series, river bathymetry<br />

<str<strong>on</strong>g>and</str<strong>on</strong>g> rainfall data were collected from sec<strong>on</strong>dary sources such as BWDB <str<strong>on</strong>g>and</str<strong>on</strong>g> BIWTA.<br />

Bathymetry data were collected to develop <str<strong>on</strong>g>and</str<strong>on</strong>g> update the model bathymetry <str<strong>on</strong>g>of</str<strong>on</strong>g> Bay <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

Bengal <str<strong>on</strong>g>and</str<strong>on</strong>g> other regi<strong>on</strong>al models Water level data <str<strong>on</strong>g>and</str<strong>on</strong>g> discharge data were collected to<br />

generate boundaries <str<strong>on</strong>g>and</str<strong>on</strong>g> to re-calibrate the existing models. Rainfall data were collected for<br />

development <str<strong>on</strong>g>of</str<strong>on</strong>g> rainfall-run<str<strong>on</strong>g>of</str<strong>on</strong>g>f model (NAM model). Coverage area <str<strong>on</strong>g>of</str<strong>on</strong>g> T-Aman in three<br />

selected upazilas Bakerganj <str<strong>on</strong>g>of</str<strong>on</strong>g> Barisal district, Raiganj <str<strong>on</strong>g>of</str<strong>on</strong>g> Sirajganj district <str<strong>on</strong>g>and</str<strong>on</strong>g> Gobindaganj<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> Gaib<str<strong>on</strong>g>and</str<strong>on</strong>g>ha district has been collected in c<strong>on</strong>sultati<strong>on</strong> with each block supervisor <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

corresp<strong>on</strong>ding upazila.<br />

2.2 Available Models<br />

2.2.1 GBM Basin Model<br />

Background<br />

The country’s unique geographical locati<strong>on</strong> with the Indian Ocean to the South, the<br />

Himalayas to the north <str<strong>on</strong>g>and</str<strong>on</strong>g> the prevailing m<strong>on</strong>so<strong>on</strong>s has made it <strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> the wettest countries<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> the world. Bangladesh is probably the worst victim <str<strong>on</strong>g>of</str<strong>on</strong>g> excessive rainfall in the upper<br />

catchment outside its territory. This external rainfall generates massive run<str<strong>on</strong>g>of</str<strong>on</strong>g>f <str<strong>on</strong>g>of</str<strong>on</strong>g> water that<br />

reaches the Bay <str<strong>on</strong>g>of</str<strong>on</strong>g> Bengal through country’s territory. Almost all the major rivers have their<br />

origins bey<strong>on</strong>d the political border <str<strong>on</strong>g>of</str<strong>on</strong>g> the country, <str<strong>on</strong>g>and</str<strong>on</strong>g> thereby placing it in a disadvantageous<br />

positi<strong>on</strong> to manage its own river systems.<br />

There are 57 border rivers bringing inflows from India. About <strong>on</strong>e-fourth to <strong>on</strong>e-third <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />

country is normally flooded to varying degrees each year during the period from May through<br />

September. The major flood <str<strong>on</strong>g>of</str<strong>on</strong>g> 1998 caused inundati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> about 70 % <str<strong>on</strong>g>of</str<strong>on</strong>g> the country. This<br />

figure <str<strong>on</strong>g>of</str<strong>on</strong>g> flooding is expected to be more severe in future due to climate change <str<strong>on</strong>g>and</str<strong>on</strong>g> sea level<br />

rise.<br />

The GBM basin model was applied to reproduce the possible changes <str<strong>on</strong>g>of</str<strong>on</strong>g> m<strong>on</strong>so<strong>on</strong> flood in<br />

the basin resulting from predicted hydro meteorological changes in the area. IWM carried out<br />

this study through updating a previously developed simplified GBM basin model<br />

incorporating up to date informati<strong>on</strong>. The model was used to compute run<str<strong>on</strong>g>of</str<strong>on</strong>g>fs generated from<br />

basins <str<strong>on</strong>g>of</str<strong>on</strong>g> three major rivers, <str<strong>on</strong>g>and</str<strong>on</strong>g> thereby simulate the scenarios regarding m<strong>on</strong>so<strong>on</strong> flood in<br />

the country introducing subsequent effect <str<strong>on</strong>g>of</str<strong>on</strong>g> climate change.<br />

The prime objective <str<strong>on</strong>g>of</str<strong>on</strong>g> this study comp<strong>on</strong>ent “Updating <str<strong>on</strong>g>of</str<strong>on</strong>g> the GBM basin model” is<br />

quantificati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> inflows generated from three major river basins under recent & changed<br />

climate c<strong>on</strong>diti<strong>on</strong> so that impact <strong>on</strong> m<strong>on</strong>so<strong>on</strong> flooding in Bangladesh resulting from climate<br />

change <str<strong>on</strong>g>and</str<strong>on</strong>g> sea level rise as predicted in 4th assessment report <str<strong>on</strong>g>of</str<strong>on</strong>g> IPCC can be studied.<br />

9

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