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1 ʻ˦Ʈ ˉ˫ưǦ˳Ę ʯǩʑɞ ɫ˳ȼ ʯˡȿ˖ˢ ˦˙˧˫ ˳NJˤěƝˁ ɪ˚əˠ˫˦ˠǦˎ ʯǩʑɞ ɫ˳ȼ ˳ˠʤˉ˘˫ˣ ˚˨ȿ ˳ˁʣˎ˦: ˣˬː˦ˎ˧Ǧ ˳˔ʣˡƱɞ ˣˬː˦ˎ˧˘: ˦˫˞˫˘ɕ ˡ˫ˉɕˠ: ɼ ˢʭˁ˫ˣ ˣɕ˫˚˲Ư ˘˫˞ˠ: ɼ ˢʭˁ˫˳ɩ ˞˧ˣˬɣ ˃ʭ˃˫ ǧȼ˘˳ɏ ˣ˫˦ˠ ˁˡ˘ ˦ˬˢකɢˢˎ ˳ˠʣȿ ˳˘ʣɭ ˁ˲ɿˁ˫əȽˁ ȝˉ˫ˣǦ ˞˔ ˳NJˤěƝˁ ɪ˚əˠ˫˦ˠǦʏ ˜ˢ˚˭˞ ˳ˁ˳ˡʏ ˁˎɒƱ කɝ˞ āˠ˫Ʈ˞ˁ ˁˡǦ˘˫ɭ ǧ˳ˠʤŏ˔˫ˠ˔˘ ˣə˃ˠ: ˜ʑ˚˫əɴˁˣ āˠ˫Ʈ˞ˁ කɝ˳ȼ ǧ˳ˠʤŏ˔˫ˠ˔˘ˠ āˠ˫Ʈ˞ˁ කɝ˳ȼ ʰˠ˔˘ˠ: ˳ˢʤˁ ʰ˧˫ˡ ˣˬː˦ˎ˧˘ ɣˠ˫ ʯƮ˦Ǧ ˁˡ˘ ʰˠ˔˘ˠǦ: ˁ˲ɿˁə˞ ʯ˞˫˔ɕ˫ʭˤˠ ˦˧ ˳˃ʣɪˉ˘ ˳˦ʢˣ˫ ʯ˞˫˔ɕ˫ʭˤˠ ˧˫ ˣ˘Őɪ ʯ˞˫˔ɕ˫ʭˤˠ ˦˞˃ ˦˧˳ˠʤę˔˫ˣ˳ˠǦ ˚ɜ˦ˡ ʯ˞˫˔ɕ˫ʭˤˠ ʳɢˢ˫ ʆŹ˘ ʯˡȿ˖ɢ ȝ˞˫˒ˠ: ʱ.˛.˳ːʣ 7,989,727 ˦˧˫ˠ ʯˡȿ˖ɢ ˦˚ˠǦ˘Ǧ: ˢ˖ ǎ˘ˠ: ʯǩʑɞ ɫ˳ȼ ʯˡȿ˖ɢ ˣɕ˫˚˲Ư ˧ǐ˘˫˃ˬǨ˞: (ʯǩʑɞ ɫ˳ȼ ʯˡȿ˖ɢ ˞Ɯːˢ ˳ɢ˂˒˫ǝˁ˫ɝ˳Ę ˝˫ɪ˔˫ˠ ˦˙˧˫ ˚˞Ɲ) ˢ˖ ǎ˘ˠ: ʯǩʑɞ ɫ˳ȼ ʯˡȿ˖ɢ ˣɕ˫˚˲Ư ˧ǐ˘˫˃ˬǨ˞: (ʯǩʑɞ ɫ˳ȼ ʯˡȿ˖ɢ ˞Ɯːˢ ˳ɢ˂˒˫ǝˁ˫ɝ˳Ę ˝˫ɪ˔˫ˠ ˦˙˧˫ ˚˞Ɲ) ˣɕ˫˚˲Ư ˳ˠʤˉ˘˫ˣ

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  • 1

    :

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    : .. 7,989,727

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  • 2

    50 55' 90 50' 790 42' 810 53' . 65,610 . 0.78% 2006 20,222,240 . , .

    , . - 2500 . , 1750 . 1750 2500 . , , , - 46 .

    27C . .

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    1 , . (2010) 2 - www.desinventar.lk

    http://www.desinventar.lk/

  • 3

    . , ,. . . , . . / / .

    ()

    - 268 14

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    1- (1961-1990) 3

    . 1897-1996 0.025 0C 1896-1996 100 0.003 0C (, 1997). (2002) (2005) .

    1- 1930 2000 (, 2000)

    (, 2009). .

    3 . 14 .

  • 4

    . 75% 30% 2080 . , , trans-basin .

    - 40 0.64C 75 0.97C 0.14C . 22 0.45C 0.2C . - . ( - ) - ( ) - , . - - 30-40 . - . - , . - . - .

    : / 2011-2016

  • 5

    2: GSM

  • 6

    . . . . HAD CM 23% (A2 ) 13% (B2 ) 4 .

    ( ) . . . 30% 5. 1931-1960 1961-1990

    - 23% 27%

    21% 16%

    - 22% 23%

    31% 42%

    2- - : , (1997)

    6 . ( 3) , : 23% . . , . , 7 . , (, ) . ( 10). -, , , , ( 60% )

    4 , . Spatial Clustering . IWMI 2006 5 UNFCCC , 6 , 2006 7 , , , , (2010)

  • 7

    .

    Figure 3: Ricardian Valuation of Climate Change Impacts (Kurukulasuriya and Ajwad, 2006) 3: ( , 2006)

    4: , ,

    ; : ,

    (www.desinventar.lk)

    http://www.desinventar.lk/

  • 8

    UNFCCC (2011-2016) , . , . , . - 8. . . 2050 11% 9. , , . . . , , , .

    103 20 . 10000 . . 4000-5000 m3 8600 . . 40 4 . 38 . 4 .

    . . . , , ,

    8ESCAP Asia Pacific 2010 8 ESCAP 2010 9Munasinghe Institute for Development, Sri Lanka. Agriculture and Climate Change 2010

    9 . , . 2010

  • 9

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    10 , . Spatial Clustering . IWMI 2006 11 . . . 12 2006 13 , , 31- 01, 2011

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  • 11

    14. - . trans-basin diversion 15 . , . , , . . ( 6 ) . . - ( ) . . , ( ) . . . , , , . . . . . . , ( ) . , (, ) .

    14 . 14 150% .

  • 12

    , : ;

    1.

    .

    2.

    .

    3.

    .

    4.

    .. ..

    0.5-1.1 Ha - 25% - 40% - 28% - / 7%

    - - - -

    0.2-0.3 Ha 1 Ha

    -

    - - - , - - -

    : , , IWMI

  • 13

    : . - 16. , . 17. . , . 1000 18. 200 / 35000 19 . . 20. . , . ( 6 ) , . - . , , . . ( 80% .)

    16 , . Spatial Clustering . IWMI 2006 17 , . Spatial Clustering . IWMI 2006 18 .. - 2010. 19 . 5000 . 20 . . : , . IWMI 2005.

  • 14

    Figure 6. Schematic representation of a small tank cascade system. Panabokke, 2005

    9 . ( 3 7 ). ( ) . . ;

    1.

    .

    2. ,

    .

    , , , , . . ; , , , . . - . / ..

  • 15

    ( )

    22

    21 . 22

    14096 .

    ( )

    2

    23 . .24

    3.

    22 22 Landslide Hazard Risk Maps of National Building Research Organization and Erosivity Maps of the Department of Agriculture 24 , 2011-2016

  • 16

    7. (..)

  • 17

    : : .

    . 4:

    US $

    1.

    1.1

    ..

    1,038,808

    1.2

    265,069

    1.3

    874,000

    1.4 -

    -

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    1,024,425

    4,077,502

    US $

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    2.1

    ,

    .

    /

    .

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    2.2

    ,

    .

    421,000

    2.3

    .

    1,236,104

    2.4

    .

    110,550

    25 , 2.3

  • 18

    2.5

    .

    252,696

    2.6

    .

    315,000

    2,592,460

    6,669,962

    (9.5%)

    693,842

    7,363,804

    (8.5%)

    625,923

    7,989,727

    , 2013 , 2014 , 2016 , 2016

  • 19

    :

    A. (

    ) . ; . ; ( 5, 11 12 ) . . .

    1: 26. 2008-2012 27 . , , , , . . . ( ) . , . 28 . .

    26 11 , , 27 6 , 28 GEF SGP CBA

  • 20

    .. ( , ) , 235 14039 .

    . - . . 5 .

    1.1: .. . . 14% 29. GEF . , , , . , 30. 0.09 0.3 . , . . , . , , , / . . . , , , . / . ( 14 ) :

    29

    30

    : .

    ,

  • 21

    235 14039 .

    14039 , ( ) ( ) . (, ) .

    ()

    1.2: , 31. . 32 . . , , . . , . :

    ,

    250 470 ( )

    , 500

    1.3:

    31 NEAP 2008-2012. . 6- 32 -

  • 22

    - 33. , . . 34, ) , ) ) . ( , , / - )

    (MILCO)

    ..

    .

    .

    . .

    .

    33 CBA 34

  • 23

    :

    .

    ( )

    235 ( )

    -

    , ( )

    1. 2. 3. 4. 5. 6. / 7. 8. 9. 10. 11. 25%

    1.4:

    - , , . - - 40% 35.

    36 . - . ) ) - . .. , , - 37 - .

    35

    IFAD Country Report on Sri Lanka. www.IFAD.org 36

    Mahinda Chintana Vision for the Future 2010 and Mahinda Chintana 10 year Horizon Development Framework

    37

    Premaratne, S.P Rural Farming and Small Enterprises, Agriculture and Rural Development in Sri Lanka. Department

    of Economics, University of Colombo 2010

  • 24

    . ( 5 3 ) - . - . - . - . - / ( ) , - ( ) . - .. . .. . :

    1) .

    2) 152 8 760

    .

    :

    ASCs - ( , , , , ) .

    - . - -

    . 1.5: -- 2.3 . ( ) - . 150 -- . :

    .

    , , . .

    , , .

  • 25

    US $ 1.05/

    US $ 0.61/

    US $ 0.22/

    / US $ 7 8

    US $ 7 8 , DoAD

    :

    / ,

    , , ,

    . .

    2: , . . / . ( , ) .. (14,039) . , - .

    , ( ) . , . , . ( ) ( ) . () .

  • 26

    6 : 2.1: , . , , , , . , , . . ( 11 12 ) .. - . . , / , . - . , . . . :

    , .

    .

    , 250 .

    .

    2.2:

    . ( 14 ). / . . . .. .

  • 27

    . . . , . . 38 . . :

    .. .

    .

    .

    2.3: . . .. / . GIS ( 4 ). , . ..

    *

    ( 22)

    1 2

    202 .

    950

    ( 2)

    6 7

    153 .

    550

    * , .

    38

    VRA is a Community Based Adaptation tool with multiple uses- intervention targeting, results monitoring, assessing

    barriers and capacities and imparting awareness on climate risks. The tool is based on four composite indicators that

    measure current and future climate risks, magnitude of barriers and willingness to adapt. The same questions posed over

    3-4 community meetings during implementation and the evaluation of the numerical scores that are derived, indicate if a

    project is on track at the community level.

  • 28

    ( ) . . - / . , , - . . . . . , . :

    , . ( 8 CBA )

    . ( )

    .

    ( ) ( )

    /

  • 29

    8.

  • 30

    2.4: . - ( 13) . . (, - ( 18-22) ) 14039 / . . :

    2.5: - . , . , , / . . , . , , , . , . .. .

  • 31

    :

    , / 10

    50 ( )

    ,

    25

    2.6: 1 ) 2 ) .. . . . . .

    - ( 200- 1500) .. , . . (NBRO) . . telemetric rain gauges and . .

    telemetric rain gauges .. . . .. 15 .

    NBRO Telemetric Rain Gauge

    ( NBRO)

  • 32

    .. . , . .

    , 39. 2001 , , . : (1) (2) hydro-climatic models (3) . . . 40

    ( 16 ) . . , 41. - . . . - () (- ) -. . , 1.1 1.2 60% .

    :

    NASCOM ,

    ( )

    telemetric rain-gauges 15

    39

    Foundation for Climate, Environment and Technology Project Report on Seasonal Climate Information for Water and

    Environmental Management in the Mahaweli Basin. www.climate.lk 40

    Water resources are shared between hydro-electricity needs and irrigation needs through a water allocation mechanism

    governed by the Mahaweli Authority 41

    Director General of Meteorology at a stakeholder discussion

  • 33

    9:

    B.

    - . , , , , . , . :

    1. , 2. 3. 4. 5. 6. ,

    Feedback from the field On indications of drought onset: soil moisture, water levels in tanks, groundwater height

    Farmers making decisions about crop type and cultivation dates

    Mahaweli Authority generating a seasonal forecast for Yala and Maha with support from Agriculture

    Department, Irrigation Department and Department of Agrarian Development

    Farmer Organizations and Field Officers of DoAD collaborating with Agrarian Service Centers for seasonal decision making

    Seasonal forecast derived from general weather data issued by Meteorological sources

  • 34

    . - ( 17%, 22%, 30%) 42.

    43.

    44. , ( 18-36 ) 45. , , .

    , - . . . . input trader 46. , . . :

    1. , --

    2.

    3. 4. ( ) 5.

    6. - 7.

    42

    MDG Country Report, Department of Census and Statistics, 2008 43

    Case Studies produced by GEF SGP Country Program 44

    The average monthly income, Rs. 3000 per month before the project started, increased on average by Rs. 824 with the

    introduction of income generation activities such as vegetable cultivation, seed collecting programs, ginger and turmeric

    cultivation, and plant nursery development. Counterpart International/ Forest Gardens of Sri

    Lanka.http://www.counterpart.org/our-work/projects/forest-gardens-in-sri-lanka 45

    Assuming that initial investment is US$70 for organic home garden inputs. Cost recovery factors in savings in

    household food purchase, savings in chemical inputs, sale of produce and seeds, agro-processing at household level 46

    De Silva. CJ, Agricultural Extension in Domestic Sector; Problems, Weaknesses and Suggestions for Improvement. Sri

    Lanka Journal of Agrarian Studies Vol 15, No 1 2011

  • 35

    , , . . . . ( ) .. 3/- 47. . , ( , , ) . . , , . 17% . 1500 . ,

    48, $55-

    $75 49. .. , , 50. 51. 52. .. . . ( ) ( ) ( ) . . ( ) . ( , , ) . ;

    ,

    47

    From field monitoring reports GEF SGPs Pilot Community Adaptation Project 48

    Stone work, bunds and ditches have a higher government-approved rate than tree planting, live hedgerows and turfing. 49

    From field monitoring reports GEF SGPs Pilot Community Adaptation Project 50

    Disinventar.lk disaster incidence by DSD 51

    A UNDP BCPR-funded project to operationalize the hazard profiles for drought and landslide together with DoA and

    NBRO (National Building Research Organization) 52

    Such as Sri Lanka Red Cross Society, CARE and Practical Action

  • 36

    , . ;

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  • 37

    , 35% - . 12 PRA .

    1.

    2.

    3. -

    . , . (>150%) .

    () .. 2200 . 16,822 53. .. 37 . .. 877 .. 6.6 .

    . , . . . , . 40 . 1968 7515 2000 54. , .

    ( ) . 7-100 US$/1000m3 ( ). . , 20-110 US$/1000m3 , trans-basin 90-400 US$/1000m3 55. .

    Lift irrigation . , Lift irrigation 56 57. Lift irrigation (/) .

    53

    Department of Irrigation, Planning Branch 54

    Department of Irrigation, at Annual Runoff at Manampitiya 55

    Keller et al. Water Scarcity and Role of Storage in Development. International Water Management Institute 2001 56

    In Rajangana (Anuradhapura District) and Neelabamma (Puttlam District) 57

    Fernando A.P S Impact of Lift Irrigation Schemes on Rural Poverty Alleviation. University of Peradeniya, 2007

  • 38

    .. . .. 429 .. 87 . . . , .

    ( ) . , . . , , . 100% . - .

    1. : . , GEF SGP CBA . . 2. - : P4P . 1.4 . , , ( , , ), , , , , - . 3. : WFP, GEF SGP, IWM . . , , , .

    4. : (1984-1988) . GEF SGP CBA . , , .

    5. : GEF SGP VRA . .

    , .

    1) , -

  • 39

    2)

    3)

    4) .

    D.

    (UNFCCC) 1993 16 . UNFCCC . 2002 3 . . 1992 12 . . 2003 PRSP . - . , ( 5 ). , 2008-2012 UNFCCC . 2011-2016 . UNFCCC . , . :

    1. ( - 2006-2016)

    , , - , , ,

    2.

    , , , , , , , - .

    3.

    4. , , - .

    5. , - , ,

  • 40

    6.

    300

    7. /

    8. ,

    58

    1.

    -

    -

    -

    -

    -

    /

    ,

    :

    ,

    2.

    .

    - ,

    -

    ,

    ,

    5.

    58

    Haritha Lanka ( Green Sri Lanka) is the National Action Plan for Sustainable Development of the Government of Sri

    Lanka, developed by the National Council for Sustainable Development headed by the President

  • 41

    59. , .

    E. . . , , , . , , , , , . . , / .

    59

    Mahinda Chintana Vision for the Future 2010 and Mahinda Chintana 10 year Horizon Development Framework

  • 42

    1.

    ..

    2.

    ..

    ..

    3.

    4.

    5.

    6.

    F. . , . . , CARE IUCN . Practical Action - . , , . . , GEF

  • 43

    , / . . 60. . , , . , . 6 , , , , , .

    ( ) ( -)

    . .. .

    (P4P)

    (WFP)

    ,

    ,

    (Ausaid/ GEF SGP)

    (Ausaid/ GEF SGP)

    , , ,

    -

    ,

    .

    60

    With the exception of Trincomalee district which is in the previously conflicted affected eastern province

  • 44

    - (GEF 1V/ UNEP)

    /

    .

    MoE .

    - , -

    (GEF 1V/

    UNEP/FAO)

    ,

    , .

    . , , .

    (UNDP BCPR)

    -

    . -

    .

    (Ausaid and UNDP

    2012-2017)

    . .

    UNFCCC

    (UNDP )

    . .

    /

    (UNDP 2011-2015)

    (AIS)

    IAS . , ,

    .

    IAS

    IAS .

    /

  • 45

    (UNDP 2012-2017) - (UNDP 2012-2017)

    , ,

    .

    /

    6. , ,

    GEF/ SGP - 2010 GEF CBA 5 . . , - - . 5 . , , . , , , . CBA . , CBA . CBA , , . , . CBA , . . UNDP VRA / . . .

    G. . . , , . - . ( ) . ,

  • 46

    . . , 2.5 2.6 . 2.4 . . - . ( ) . - . ( ) ( , , ) . . . VRA . . .

    H. (2010 20112 ). . 5 . . . . , , . (- - ) . . ( 11 ) 2011 . , , , . , , . ( 12 ) . 7.

    . , .

    .

  • 47

    , . MoE .

    . .

    . .

    . .

    (MASL) .

    . DMC .

    . .

    .

    .

    . . , .

    . , , .

    .

    (WFP) , , . . .. .

    (UNDP)

    DMC . .

  • 48

    I. 1-

    , . . , , (, , ) . (70-90%). . , . . , . , . . . , , . - - , . , , . - . . . , . , . . . . , . . . - .

  • 49

    1) 2) ( 12 )

    1.

    (, ,

    )

    1.5

    ..

    1.5

    2.6

    ,

    -

    -

    1.1

    ..

    1.3

    2.

    1.2

    2.2 2.3

    ,

    2.6

    2.2 2.3

    , -

    1.4

    1.2

    1 . , , , . ( ) 61 .

    61

    CBA projects implemented by GEF SGP employed this strategy of using the lean season to complete project-related

    natural resource management and irrigation maintenance, which allowed farmers to engage in their traditional

    agricultural pursuits during main rainfall reason

  • 50

    . . . , . , , . . . . - (, , ) .

    2: , . . (, ) . . ( ) . . . . . , . , , . . . , . / . - .

  • 51

    . , .

    - . - . . , . . ASC , . . . . - , 62 . , , . VRA . . , . - . - . - . , . . , , . .

    62

    Such as collective auctioning of reservoir fish stocks by FO to private sector

  • 52

    J. , , , - . , , , , . , .

    :

    - 2008-2012, , , 2011-2016 , .

    - . . ASC . - . - . - . . . - . . - ( )

    . - 1) 2) , 3)

    - , , . 3 .

    III:

    A.

    . . 8 . (PSU) . . (NPSC) . NPSC , , ,

  • 53

    , , , , , . . PPD NPSC NPSC . NPSC . NPSC . ( / NPSC ) . , NPSC PSU . PSU . NPSC PSU . - PM . . ( , ), . , . - .

  • 54

    . / . , .

    . - . . .

    , DMC , . . / . . . , VRA. ( ) DO/ (ARPAS) . - . , .

  • 55

    10.

  • 56

    E.

    . 7.

    100 , . . .

    VRA .

    ( )

    . / . , .

    .

    - . .

    ( ) .. .

    , - . .. .

  • 57

    B.

    . .. . , (- ) PSU PPD . . . .. . - .. . . . , . . . NPSC . 8 9 . 8:

    (US$)

    (IW) .. 3500

    2000 IW

    / 6000

    -

    / 7500

    SAPR

    - (SAPR)

    , .. / PPD 8500

    (APR)

    , .. / PPD 7500

    , PPD 2500

    IW SAPR

    , / PPD 2500

  • 58

    0

    - (MTE)

    / / 20,000

    - 18-20

    (FE)

    / / 25,000

    , .. / PPD 0

    WFP, UNDP 22,000

    107000

    .. PPD . . , . . 12 . , , . , , . . - (MTE)

    - ( 18- 20 )

    .

    (MTE) .

    .

    .

    - .

  • 59

    D.

    : .

    : .

    1: ..

    .

    2: , .

  • 60

    9. :

    .

    : .

    10% ( 14039) .

    75% ( 14039 ) . -

  • 61

    .. VAM .( ) - -

    14039 .

    .

    1:

    / -

    14039

    ..

  • 62

    .

    63. :

    - 50% - 50% .

    .

    1.1: .. .

    .

    - - >10 - -10-25 -

  • 63

    1.2:

    500 ASC

    , ,

    1.3:

    / , ,

    6 ..

    .. /

  • 64

    1.4: -

    -

    ASCs -

    .. ASCs - ASCs - 760

    .. / ASC -

    - ASC -

    1.5: --

    -- --

    PES 0%

    .. -- 1500

    PES .

  • 65

    2: , .

    (/ )

    CBO

    14039 50% , ,

    .. /

  • 66

    2.1: , .

    ,

    250 ..

    ..

  • 67

    2.2:

    .. . 2.4

    ..

    ..

  • 68

    2.3: .

    -

  • 69

    2.5: -

    .. /

    10 5 NPSC 50 ( 35 15) 2 CBA 20

    ..

    2.6:

    .. . /

  • 70

    .. - 15 telemetric rain gauges .

    /

  • 71

    . IV:

    A. . , . .

    , ,

    :

    B.

    . ( ) .

    ,

    : :

    :

    : :