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Time Series LULC Decrease in agricultural area - increase in urbanization Cropland degradation Standardization Gridded monthly rainfall Coecient of variation Standardization Gridded monthly Tmax Coecient of variation Standardization Gridded monthly Tmin Coecient of variation Standardization Flood inundation Inundated area X Frequency Standardization Exposure Cropping frequency Single/Double/tripple (Kharif/Rabi/Zaid) Ranking/Standardization Soil Datbase Soil Quality Index Standardization Agriculture dependent population Standardization Sensitivity Potential Impact Irrigation support Block wise irrigated area/block area Standardization Literacy rate Standardization Road Density Standardization Adaptive Capacity Agricultural Vunerability Weighted Arithmatic Aggregation Weighted Arithmatic Aggregation Weighted Arithmatic Aggregation ি ি या िि�ा Effects of extream climatic events on Kharif rice production in Odisha Flood Severe Flood Cyclone Severe Cyclone Drought Severe Drought Moisture Stress PURI KHORDHA BHADRAK KENDRAPARA JAGATSINGHPUR Puri Khurda Cuttack Bhadrak Balasore Berhampur Bhubaneswar Jagatsinghapur Population (2011) < 200000 200001 - 400000 400001 - 600000 600001 - 800000 > 800000 5 m contour C h i l k a M a h a n a d i R . B A Y O F B E N G A L District boundary 0 50 100 25 Kilometers Vulnerability Very Low Low Medium High Very High 0 25 50 12.5 Km Adaptive Capacity 0.00 - 0.20 0.21 - 0.40 0.41 - 0.60 0.61 - 0.80 0.81 - 1.00 0 25 50 12.5 Kilometers ´ Low High Sensitivity 0.00 - 0.20 0.21 - 0.40 0.41 - 0.60 0.61 - 0.80 0.81 - 1.00 0 25 50 12.5 Kilometers ´ Low High Exposure 0.00 - 0.20 0.21 - 0.40 0.41 - 0.60 0.61 - 0.80 0.81 - 1.00 0 25 50 12.5 Kilometers ´ Low High Agricultural vulnerability to climate change is the function of characteristics of climate variability, magnitude, and rate of variation within the agricultural system, and the system’s sensitivity and adaptive capacity, and it is the degree to which the agricultural system is susceptible to, or unable to cope with adverse effects of climate change including climatic variability and extreme events. The objective of the study was to assess the agricultural vulnerability of the Mahanadi Delta with respect to climate change. Extent 85 o 40'E 86 o 45'E 20 o 35'N 19 o 40'N Five districts have been taken based on the intersection of bebelow 5 m elevation zone Mahanadi Delta is one of the largest deltas on the east coast of India. Climate: Tropical with hot humid monsoon Population: Around 6 million (2011) Legend V V=f(E,S,AC) AR4, IPCC, 2007 V=(E-AC) x S V=Agricultural Vulnerability E=Exposure AC=Adaptive Capacity S=Sensitivity Flood plays major role in agricultural vulnerability of the Delta. Proper flood management may reduce the susceptibility of agriculture to vulnerability. The most vulnerable block has been assed to be Delanga followed by Pipili and Astaranga block. Bhubneswar has been assed to be one of the least vulnerable block of the Delta This work was carried out under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA), with financial support from the UK Government’s Department for International Development (DFiD) and the International Development Research Centre (IDRC), Canada. The views expressed in this work are those of the creators and do no necessarily represent those of DFiD and IDRC or its Board of Governors. www.deccma.com D E C C M A Amit Ghosh & Sudipa Pal School of Oceanographic Studies, Jadavpur University 4 th Consortium Workshop, January 2016
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  • Time Series LULC

    Decrease in agricultural area - increase in urbanization

    Cropland degradation

    Standardization

    Gridded monthly rainfall

    Coefficient of variation

    Standardization

    Gridded monthly Tmax

    Coefficient of variation

    Standardization

    Gridded monthly Tmin

    Coefficient of variation

    Standardization

    Flood inundation

    Inundated area X Frequency

    Standardization

    Expo

    sure

    Cropping frequency

    Single/Double/tripple(Kharif/Rabi/Zaid)

    Ranking/Standardization

    Soil Datbase

    Soil Quality Index

    Standardization

    Agriculture dependent population

    Standardization

    Sens

    itivi

    tyPo

    tent

    ial I

    mpa

    ct

    Irrigation support

    Block wise irrigated area/block area

    Standardization

    Literacy rate

    Standardization

    Road Density

    Standardization

    Adap

    tive

    Cap

    acity

    Agr

    icul

    tura

    l Vun

    erab

    ility

    Wei

    ghte

    d Ar

    ithm

    atic

    Aggr

    egat

    ion

    Wei

    ghte

    d Ar

    ithm

    atic

    Aggr

    egat

    ion

    Wei

    ghte

    d Ar

    ithm

    atic

    Aggr

    egat

    ion

    Effects of extream climatic events on Kharif rice production in Odisha Flood Severe Flood Cyclone Severe Cyclone Drought Severe Drought Moisture Stress

    PURI

    KHORDHA

    BHADRAK

    KENDRAPARA

    JAGATSINGHPUR

    Puri

    Khurda

    Cuttack

    Bhadrak

    Balasore

    Berhampur

    Bhubaneswar

    Jagatsinghapur

    Population (2011)< 200000

    200001 - 400000

    400001 - 600000

    600001 - 800000

    > 800000

    5 m contour

    Chilka

    Mahanadi R.

    B AY

    OF

    BE

    NG

    AL

    District boundary

    0 50 10025 Kilometers

    VulnerabilityVery Low

    Low

    Medium

    High

    Very High

    0 25 5012.5 Km

    Adaptive Capacity0.00 - 0.20

    0.21 - 0.40

    0.41 - 0.60

    0.61 - 0.80

    0.81 - 1.000 25 5012.5 Kilometers

    Low

    High

    Sensitivity0.00 - 0.20

    0.21 - 0.40

    0.41 - 0.60

    0.61 - 0.80

    0.81 - 1.000 25 5012.5 Kilometers

    Low

    High

    Exposure0.00 - 0.20

    0.21 - 0.40

    0.41 - 0.60

    0.61 - 0.80

    0.81 - 1.000 25 5012.5 Kilometers

    Low

    High

    Agricultural vulnerability to climate change is the function of characteristics of climate variability, magnitude, and rate of variation within the agricultural system, and the systems sensitivity and adaptive capacity, and it is the degree to which the agricultural system is susceptible to, or unable to cope with adverse effects of climate change including climatic variability and extreme events.

    The objective of the study was to assess the agricultural vulnerability of the Mahanadi Delta with respect to climate change.

    Extent 85o40'E 86o45'E20o35'N

    19o40'N

    Five districts have been taken based on the intersection of bebelow 5 m elevation zone

    Mahanadi Delta is one of the largest deltas on the east coast of India.

    Climate: Tropical with hot humid monsoon

    Population: Around 6 million (2011)

    Legend

    V

    V=f(E,S,AC) AR4, IPCC, 2007

    V=(E-AC) x SV=Agricultural VulnerabilityE=ExposureAC=Adaptive CapacityS=Sensitivity

    Flood plays major role in agricultural vulnerability of the Delta.Proper flood management may reduce the susceptibility of agriculture to vulnerability.

    The most vulnerable block has been assed to be Delanga followed by Pipili and Astaranga block. Bhubneswar has been assed to be one of the least vulnerable block of the Delta

    This work was carried out under the Collaborative

    Adaptation Research Initiative in Africa and Asia

    (CARIAA), with financial support from the UK

    Governments Department for International

    Development (DFiD) and the International

    Development Research Centre (IDRC), Canada. The views expressed in

    this work are those of the creators and do no

    necessarily represent those of DFiD and IDRC or

    its Board of Governors. www.deccma.com

    D E C C M A

    Amit Ghosh & Sudipa PalSchool of Oceanographic Studies, Jadavpur University 4th Consortium Workshop, January 2016