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Downstream Hydrological Impacts of the Melamchi Inter-basin Water Transfer Plan (MIWTP)

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    P. Gurung and L. Bharati

    International Water Management Institute (IWMI), Lalitpur, Nepal

    Downstream Hydrological Impacts of the Melamchi

    Inter-basin Water Transfer Plan (MIWTP)

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    Introduction

    Melamchi Water Supply Project (MWSP): 1973 (Identified)

    1998 (Implemented)2008 (Planned to Complete)

    2015 (Extend to Complete)

    Drinking Water Demand of Kathmandu: 220 MLD

    Water available in Kathmandu Valley: 90 MLD (Dry Season)

    130 MLD (Wet Season)

    Demand of local people, political circumstances and challenges to engage

    private sector partner is major barrier to complete project

    Till 2008, project has paid Rs. 880 million as a cash compensation to local

    In addition, downstream hydrological impacts is another issue

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    Introduction

    Project has set minimum downstream release: nearly 35 MLD

    At present , Water in Melamchi River Basin is using for :

    Irrigation and Water Supply,

    MHP Generation and operating Water Mills

    Consumed by Forest and Vegetation

    Few studies are carried out to account water focused on Indrawati Basin

    Use of distributed hydrological model developed for entire Koshi basin to lookhydrological impacts of the MWSP until the outlet of the Koshi basin at

    Chatara

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    Soil Water Assessment Tool (SWAT) Model:Physically based semi-distributed hydrological model

    Water quantity, sedimentation and water quality

    Developed by Department of Agriculture, USA

    SWAT model developed for Koshi basin is divided into 79 sub-basins (Outlet Chatara)[Developed under Storage Project in Koshi basin of IMWI Nepal]

    Downstream impact of MWSP is carried out for 11 among 79 sub-basins of Koshi basin

    In this study, the study river reach starts from sub-basin 35 and ends at sub-basin 79

    Method

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    Method

    18

    6

    2

    4

    3

    5

    14

    9

    32

    17

    51

    7

    16

    78 73

    11

    18

    10

    75

    12

    45

    34

    27

    13

    5762

    65

    58

    56

    15

    38

    5560

    72

    23

    71

    30

    61

    53

    54

    36

    6967

    44

    66

    42

    35

    59 64

    40

    74

    70

    19

    47

    43

    4137

    68

    31

    7679

    28

    48

    77

    29

    39

    22

    20

    46 5249

    63

    25

    50

    33

    2624

    21

    0 60 12030 km

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    Method

    78

    55

    72

    61

    67

    42

    35

    7679

    48

    77

    2224

    21

    25

    2225

    35

    24

    21

    Study River Reach

    Water Transfer Location

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    Method

    Model Calibration and Validation:

    Plot of observed versus simulated flow at Koshi basin outlet, Chatara

    Calibration and validation is carried out for 15 flow stations within Koshi basin

    Calibration Period (1996 2000) and validation period (2001-2005)

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    35

    48

    61

    55

    67

    72

    78

    77

    76

    79

    42

    24

    21

    Melamchi

    Sapta Koshi

    Sun Koshi

    Rosi

    Tama Koshi

    Likhu

    Dudh Koshi

    Arun and Tamor

    Water Supply

    to

    Kathmandu Valley

    Stage-II&III:Water Transfer1.97 m3/s [62.1 MCM]

    Stage-I:Water Transfer1.97 m

    3/s [62.1 MCM]

    Indrawati22

    25

    Larke

    Yangri

    Melamchi Inter-basin Water

    Transfer Plan (MIWTP)[Conceptual Plan for Modeling]

    Method

    Stage I:Sub-basin 24 [170 MLD]

    Stage II:Sub-basin 25 [85 MLD]

    Stage III:Sub-basin 22 [85 MLD]

    Order of the sub-basins as per flowdirection

    The rivers flow intoStudy River Reach

    Impact of MWSPon 11 sub-basins

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    0

    10

    20

    30

    40

    50

    60

    70

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    Flow[m3/s]

    Percentage of Exceedence

    Stage I - Melamchi River

    Stage II - Yangri River

    Stage III - Larke River

    Water Transfer Plan

    Result and Discussion

    Simulated Water Availability in Headwork of MWSP:

    Downstream flow release at driest month:

    Stage I: 13% of the river flow of that month

    Stage II: 57% of the river flow of that month

    Stage III: 57% of the river flow of that month

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    Result and Discussion

    Simulated Water Availability in Headwork of MWSP:

    0

    50

    100

    150

    200

    250

    300

    350

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    MonthlyFlowV

    olume[MCM]

    Larke River

    Yangri River

    Melamchi River

    Total Water Transfer Plan

    Annual Simulated Flow :

    Melamchi: 499 MCM

    Yangri: 443 MCM

    Larke: 448 MCM

    More than 80% of the total annual river flow occurrs within June to October

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    15.71

    18.06

    0

    10

    20

    30

    40

    50

    60

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    MeanMonthly

    Flow[m3/s]

    SWAT Simulated Bhattarai et al., 2002

    Annual Mean, SWAT Simulated Annual Mean, Bhattarai et al., 2002

    R = 0.99

    0

    20

    40

    60

    0 20 40 60

    SW

    ATSimulated

    Bhattarai et al., 2002

    Flows

    Bisector

    NSE = 0.93

    Result and Discussion

    Mean Monthly Flow Available at MWSPs Headwork in Melamchi River :

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    Result and Discussion

    Impact of MIWTP along Downstream River Reach of Koshi Basin:

    0.5

    1.3

    0.6

    0.8

    0.7

    3.9

    4.8

    77

    0.50.2

    1.4

    0.5

    0

    12

    1.6

    3.6

    1.6

    2.5

    1.6

    12.7

    15.5

    1.30.6

    4.1

    1.3

    02018

    36

    0.2

    2

    0.6

    0.3

    0.4

    0.3

    2.5

    34

    0.20.1

    0.7

    0.2

    6

    0LEGEND

    Dry Season Average Outflow Reduction [%]

    Wet Season Average Outflow Reduction [%]

    Annual Average Outflow Reduction [%]

    0 50 10025 km

    Annual Reduction:

    Stage I : 12%

    Stage II : 7%

    Stage III : 7%

    Wet Season Reduction:

    Stage I : 6%

    Stage II : 4%

    Stage III : 3%

    Dry Season Reduction:

    Stage I : 36%

    Stage II : 18%

    Stage III : 20%

    Reduction at Chatara:

    Annual : 0.2%

    Wet : 0.1%

    Dry : 0.6%

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    Result and Discussion

    Water Balances at the Sub-basins in Study River Reach:

    -4000

    -2000

    0

    2000

    4000

    21 24 25 22 35 42 48 55 61 67 72 78 77 76 79AnnualAv

    erageWaterBalance[mm]

    Sub-basin Number

    Precipitation Actual ET Surface Runoff Percolation Soil Water Content Return Flow Lateral Flow

    Highest annual precipitation occur at sub-basin 35 (3355 mm) and lowest at 55 & 61 (1028 mm)

    All hydrological component is following the trend of precipitation

    Decreasing trend is observed in all hydrological component further towards outlet of basin outlet

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    Result and Discussion

    Water Balances at the Sub-basins in Study River Reach:

    Sub-basin Number Area, km2 Rainfall, mm Actual ET, mm Net Water Yield, mm21 & 24 148 2072 603 1454

    25 110 2072 603 145022 114 2072 614 144435 424 3355 735 258442 432 2088 750 131148 213 2088 707 135355 751 1028 537 48761 558 1028 534 49067 468 1926 696 120872 700 1798 645 113278 1393 1872 731 111977 205 1498 580 89776 231 1180 629 54379 231 1040 658 381

    Simulated annual average water balance at sub-basins in study river reach

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    Conclusion

    In past study, detail quantification of the impacts in downstream sub-basins have notbeen done, hence this study help to fill this gap

    In this study, flow reduction is quantified in all three stages at sub-basin level

    Result of the study shows that the MIWTP has considerable hydrological impacts on thesub-basin that is immediately downstream of the transfer points but not furtherdownstream towards the basin outlet

    All the hydrological components are following the trend of precipitation occurred in thesub-basin and in average these trends are in decreasing order

    THANK YOU !!!

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    Additional Information and Further Work

    Crop

    Type 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2

    Paddy 101 150 1 27

    Wheat 74 135 30 16

    Maize 289 125 1 3

    Millet 188 105 16 28

    Barley 4 120 15 16

    Pulses 47 100 25 16

    Oilseed 52 110 4 16

    Potato 62 130 9 1

    Vegetable 50 105 28 16

    MayIrrigated

    Area [ha]

    Cropping

    Length [Day]

    Jan Feb Mar Apr DecJun Jul Aug Sep Oct Nov

    Crop

    Type1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2

    Early Paddy 161 90 25 22

    Main Paddy 289 105 25 7

    Wheat 74 120 15 16

    Maize 128 105 1 13

    Vegetable 215 180 8 11

    MayIrrigated

    Area [ha]

    Cropping

    Length [Day]

    Jan Feb Mar Apr DecJun Jul Aug Sep Oct Nov

    Present Cropping Pattern andCalendar in Melamchi RiverCommand Area

    Possible Change in Cropping

    Pattern and Calendar inMelamchi River CommandArea

    Impact of MIWTP on Agricultural Command Area of Melamchi River:

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    Additional Information and Further Work

    1

    10

    100

    1000

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    WaterDepth[mm]

    CWR [Change in Cropping Pattern]

    CWR [Present Cropping Pattern]

    80% Dependable Rainfall

    Impact of MIWTP on Agricultural Command Area of Melamchi River:

    Rainfall versus crop water requirement (CWR) in present and possible change in cropping pattern

    BUDGET model, developed by KU Leuven, is used to obtain CWR

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    Additional Information and Further Work

    Impact of MIWTP on Agricultural Command Area of Melamchi River:

    Gross irrigation requirement (GIR) in dry season (Jan-May, Nov-Dec) and driest month (Apr)

    1

    10

    100

    1000

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    WaterVolume[MC

    M]

    Overall Efficiency

    GIR [Present Copping Pattern]

    GIR [Change in Copping Pattern]

    Stream Flow in Dry Season (At Present)

    Stream Flow in Dry Season (After MWSP)

    Stream Flow in April (At Present)

    Stream Flow in April (After MWSP)

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    Additional Information and Further Work

    Impact of MIWTP on Agricultural Command Area of Melamchi River:

    GIR in change in command area at 40% irrigation efficiency in dry season and driest month

    167%, 9.43

    29%, 4.57

    104%, 9.43

    -1%, 4.57

    1

    10

    100

    -50% 0% 50% 100% 150% 200% 250% 300%

    WaterVolume[MCM

    ]

    Change in Agricultural Command Area

    GIR at 40% Overall Irrigation Efficiency [Present Cropping Pattern]

    GIR at 40% Overall Irrigation Efficiency [Change in Cropping Pattern]

    Stream Flow in Dry Season (At Present)

    Stream Flow in Dry Season (After MWSP)

    Stream Flow in April (At Present)

    Stream Flow in April (After MWSP)


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