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WFM 6311: Climate Change Risk Management
Lecture-2: Module- 2 Climate Change in context of Bangladesh Professor A.K.M. Saiful Islam Institute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) 11 May 2016
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Module-2 Climate variability and climate change.
Global warming and green house gases Historic aspects of global climate change Climate change in South Asian context: Case study
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Climate Change in Bangladesh
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Temperature Data Analysis (1947-2007)
Mean daily temperature of Bangladesh has increased with a rate of C per 100 years
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Trends of Temperature of Bangladesh (1947-2007)
Max. Temp. = C/100 year Min. Temp. = C/100 year
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Temperature anomaly based on the observed data of the 24 BMD stations (1971-2015)
Solid bold line represents 3 year moving average
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Meteorological Observational Stations in Bangladesh
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Trends of Temperature For 34 ground measuring Stations of BMD ID
Latitude Longitude Altitude Max. Temp. (0C per yr.) Min. Temp. (0C per yr.) 11704 Barisal 22.72 90.37 2.1 m 0.0077 11706 Bhola 22.68 90.65 4.3 m 0.0170 0.0206 10408 Bogra 24.85 89.37 17.9 m 0.0117 0.0404 11316 Chandpur 23.23 90.7 4.9 m 0.0163 0.0161 11921 Chittagong 22.35 91.82 33.2 m 0.0224 0.009 41926 Chuadanga 23.65 88.82 11.6 m 0.0217 11313 Comilla 23.43 91.18 9 m 0.0049 11927 Cox's Bazar 21.45 91.97 0.0295 0.022 11111 Dhaka 23.78 90.38 6.5 m 0.0119 0.0225 10120 Dinajpur 25.65 88.68 37.6 m 0.0151 11505 Faridpur 23.93 89.85 8.1 m 0.0275 11805 Feni 23.03 91.42 6.4 m 0.0174 0.0331 11814 Hatiya 22.45 91.1 2.4 m 0.0261 10910 Ishardi 24.15 89.03 12.9 m 0.0032 0.0037 11407 Jessore 23.2 89.33 6 m 0.0147 0.0113 12110 Khepupara 21.98 90.23 1.8 m 0.0266 11604 Khulna 22.78 89.53 11925 Kutubdia 21.82 91.85 2.7 m 0.0416 0.0248 11513 Madaripur 23.17 90.18 7 m 0.0047 11809 Maijdicourt 22.87 0.0193 0.0204 41958 Mongla 22.47 89.6 0.0430 0.0104 10609 Mymensing 24.73 90.42 18 m 0.0086 12103 Patuakhali 22.33 90.33 1.5 m 0.0328 0.026 10320 Rajshahi 24.37 88.7 19.5 m 0.0110 0.0027 12007 Rangamati 22.63 92.15 68.9 m 10208 Rangpur 25.73 89.27 32.6 m 0.0281 11916 Sandwip 22.48 91.43 2 m 0.0074 11610 Satkhira 89.08 4 m 0.0065 0.0107 41858 Sayedpur 25.75 88.92 39.6 m 11912 Sitakunda 91.7 7.3 m 0.0581 10724 Srimangal 24.3 91.73 22 m 0.0030 0.0237 10705 Sylhet 24.9 91.88 33.5 m 0.0057 41909 Tangail 24.25 89.93 10.2 m 11929 Teknaf 20.87 92.3 5 m 0.0242 0.0236 Trends of Temperature For 34 ground measuring Stations of BMD
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Monthly temperature over Bangladesh (1948-2007)
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Month-wise Trends Month Max. Temp. (0C per yr.) Min. Temp. January
0.0104 February 0.0000 0.0340 March 0.0220 April 0.0121 May 0.0010 0.0052 June 0.0139 0.0103 July 0.0116 0.0075 August 0.0183 0.0081 September 0.0070 0.0031 October 0.0178 0.0078 November 0.0270 0.0289 December 0.0147
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Change of mean temperature(0C/year)
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Average Temperature in January (1948-2007)
Daily Minimum Daily Maximum
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Spatial Distribution of Trends of Temperature (1947-2007)
Maximum Temperature Maximum increase: at Shitakunda Minimum increase: at Rangpur Minimum Temperature Maximum increase: at Bogra Minimum increase: at Tangail
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Hydrological Regions of Bangladesh
Eight hydrological planning regions of Bangladesh classified by Water Resources Planning Organization to facilitate water management of the country. These regions are: North East (NE), North Central (NC), North West (NW), South East (SE), South Central (SC), South West (SW), Eastern Hill (EH) and River and Estuary (RE). Results obtained from this study has presented for the stations in one of the eight hydrological (planning) regions of Bangladesh as per NWMP, 2001. NW NC NE SE SC SW RE EH
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Relationship with Rainfall
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Trends of Rainfall (mm/year)
Zones Pre monsoon Monsoon Post Monsoon Winter North West 1.89 4.26 1.99 0.10 North East 5.62 -0.69 -0.25 -0.09 North Central 1.36 3.29 1.40 0.26 South West 3.25 7.05 1.37 0.68 South East 2.13 -2.25 -0.16 0.13 South Central 2.03 5.88 1.19 River and Estuary 3.86 1.28 1.81 -0.08 Eastern Hilly 5.12 8.49 1.33 0.32
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Decadal Changes of Annual Rainfall
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Climate Change Impact for Bangladesh
Increase of intensity and duration of natural disasters such as floods, Cyclones and Storm Surges. Increase of moisture stress (droughts) due to erratic precipitation Salinity intrusion due to Sea Level Rise Inundation due to sea level rise leading towards “Climate Refugees” Effect on health and livelihood of coastal people. Effect on Bio-diversity, Ecology & Sundarbans. Hampered Food Security & Social Security.
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Impact of Climate Change on the Sundarbans ..Mangrove forest?
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Coastal modeling using Delft3D
DELFT3D- FLOW is a multi-dimensional (2D or 3D) hydrodynamic (and transport) simulation program which calculates unsteady flow and transport phenomena that result from tidal and meteorological forcing on a rectilinear or a curvilinear, boundary fitted grid.
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Tidal Validation: Complex Error of tidal constituents
Hiron Point FES2014: cm DELFT3D: cm Char Changa FES2014: cm DELFT3D: cm Cox’s Bazar FES2014: 37.6 cm DELFT3D: 40.2 cm
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Inundation map for 1.0m and 0.5m Sea Level Rise (SLR)
Inundation area will be increased under increased SLR 0.5m SLR 1.0m SLR
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Changes of Inundation area due SLR
Inundated Area(sq.km) Percent of total Bangladesh Percent of Coastal Zone Affected population 0.5m 2000 1.6 4.3 25,00,000 1m 3930 3.8 8.4 60,00,000 1.5m 5300 5.1 11.3 80,00,000 1m (No Polder) 8500 8.3 18.0 130,00,000
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Inundation statistics for the Sundarbans
SLR (m) Inundated Area (km2) % of inundation Area 0.5m 491 11.37 1m 1847 42.78 1.5m 2635 61.04
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Storm surge inundation caused by cyclone SIDR under SLR conditions
Category 4 cyclone SIDR hit Bangladesh coast on 15 November 2007 Mean Sea Level Pressure TRACK of SIDR Cyclone SIDR Image
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Changes of Storm Surge Inundation under the SLR conditions
With SLR, cyclonic storm surge inundation area will be increased. Maximum inundation Of cyclone SIDR With 0.5m SLR
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Inundation area and affected people under different SLR conditions
SIDR AILA Area (Km^2) % Country Population (million) % Country Present 1484 1.2 1.9 1999 1.5 2.3 0.5m SLR 3380 2.6 4.1 4226 3.3 5.1 1m SLR 5777 4.4 7.0 6216 4.8 7.5 1.5m SLR 7588 5.8 9.1 7497 9.0
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Facing Climate Change National Awareness building Mitigation
Capacity Building through Training Innovative Research for knowledge generations Mitigation Reduce Co2 emission, Use Green technology Use of Alternative Energy sources – Solar, Wind etc. Adaptation – Build Shelters, Rise Embankments & Polders, Roads, Houses Salinity tolerant crops, Forestation, alternative livelihood, improve warning system, migrations Global Awareness & Justice – Kyoto Protocol, COP15…COP22…. Raise our voice !
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Thank you
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