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Sinnar Taluka Overview and preparation for field trip Pooja Prasad (Ph D scholar) 22/8/2017 1 Topics Overview of Sinnar taluka Geo-morphology, cropping patterns Diversion based irrigation (DBI) system on Devnadi Konambe dam


  1. Sinnar Taluka Overview and preparation for field trip Pooja Prasad (Ph D scholar) 22/8/2017 1

  2. Topics • Overview of Sinnar taluka – Geo-morphology, cropping patterns • Diversion based irrigation (DBI) system on Devnadi • Konambe dam salient features • Field trip plan 2

  3. Sinnar Taluka Overview • Nashik district: large vegetable producing district • Sinnar Water situation – Rainshadow region of the western ghats – Largely dry and drought prone with drinking water scarcity – Highest groundwater exploited taluka in Nashik district 3

  4. Sinnar Taluka - Rainfall • Taluka average annual rainfall 616 mm • Steady decline in past 10 years (382mm, 122% received so far in 2017 monsoon) • High regional differences from west to east 4

  5. Slope map 5

  6. Streams and watersheds Devnadi Godavari Jam nadi Mahalunge 6

  7. GW development and drinking water scarcity 7

  8. Sinnar – Soil texture map 8

  9. Sinnar block cropping pattern • Significant area under Hectares under % of foodgrains (45%) and oilseeds cultivation cultivable (16%) Crop type (2014-15) land Kharif pulses 1,182 1% • Increasing vegetable Kharif cereal 30,617 31% cultivation (from 13% of Kharif onion 4,558 5% Rabi cereal 8,330 8% cultivable land in 2008-09 to Rabi harbhara 4,650 5% 18% as of 2014) Rabi onion 5,607 6% • Kharif crops: bajra, soyabean, Sugarcane 532 1% Cotton 1,583 2% onions, vegetables, maize, Oilseeds 15,990 16% peanuts (also tur, cotton Other Vegetables 7,084 7% Fruits 4,906 5% sowing) Gross sown area 85,038 87% • Rabi crops: wheat, harbhara, Total Cultivable land 98,226 100% onions, vegetables Source: Sinnar block Agriculture dept 9

  10. Kharif dominant crop Kharif crop with largest share of net cultivable land 10

  11. Rabi Dominant Crop Rabi crop with largest share of cultivable land (minimum cut-off 10% share) 11

  12. Three year crop-water requirement Orchards Total crop Crop water Kharif Rabi Sugarcan Kharif Rabi Cultivable and water Total rain requirement Year cropped cropped e, fruits CWR CWR area (Ha) sugarcane requirement TCM as fraction of area ha area ha TCM TCM TCM area (Ha) (TCM) rainfall 2014-15 98,226 5,438 61,823 18,587 70,573 246,807 86,803 404,182 523,679 0.77 2015-16 98,226 4,906 58,443 22,449 58,872 236,040 102,482 397,393 552,444 0.72 2016-17 98,226 5,378 66,692 29,224 69,256 303,501 136,079 508,836 882,784 0.58 • Spatial imbalances in demand and supply • Importance of irrigation systems 12

  13. 2015-16 Net water balance in mm (based on cultivable area) 13

  14. Sinnar Taluka – Changing trends • Changing trends in cropping pattern – Shift towards cash crops including horticulture • per acre more crop/more cash, greater market dependence – Move towards higher water infrastructure for assured access • High well density, horizontal bores, farm ponds, increasing distance from water source to farm (multi-stage pumping) • drip irrigation, sprinklers • Rising cost of per unit water => more incentive for cash crops • What is the impact of this on low-irrigation farmers? Do the overall gains offset the losses in the region? • Promotion of horticulture: is it sustainable? Can it be done sustainably? • Allocation of irrigation water : how do we ensure Per drop more crop across the region? 14

  15. Diversion based irrigation on Devnadi 15

  16. Working of DBI Direct command area Source: Anish Holla MTP 16

  17. DBI • Key design consideration: – Slope determines the extent of command area – Canal opening designed based on flowrate required to meet irrigation needs of command area assumes a cropping pattern • Low cost irrigation system but offers few controls • Beneficiaries – Direct irrigation through chari – Indirect benefit from groundwater recharge in wells • Kharif dry-spell protection and increase in soil moisture for Rabi • Cost-benefit analysis – How is command area cropping pattern different from non- command? effect of river or DBI? – Are yields different? Effect of soil type or DBI? – Impact on drinking water? Water scarce zones? 17

  18. Konambe dam on Devnadi 18

  19. Konambe dam - Salient features 19

  20. Sinnar taluka: Challenges and way forward • Ensure drinking water security • Ensure access to protective irrigation during Kharif dry spell • Improve allocation of irrigation water to increase area under Rabi crop • Promote appropriate cropping pattern to improve farm income while meeting water budget constraints • Promote non-farm livelihoods 20

  21. Field Trip Plan • Visit Konambe dam • Visit Yuva Mitra – Interaction with founder, Mr. Sunil Pote and his team – Interaction with the MLA • Village visit – Understand DBI structure, canal operation, – Farmer surveys in command area 21

  22. Structural decomposition () August 27, 2017 3 / 30

  23. Domain Decomposition- By surface flows surface water A3 A2 A1 p3 q A5 p2 A4 p1 p5 W(q) p4 salinity W(p2) ingress water table The watershed W ( x ) of a point x is W ( x ) = { all points y from where surface water flows to x } . For any two points x , y either W ( x ) ⊆ W ( y ) or W ( x ) ∩ W ( y ) is a thin set. Decomposition of Domain into disjoint union of watersheds. () August 27, 2017 4 / 30

  24. The Watershed source:albanywater.org () August 27, 2017 5 / 30

  25. Thane Watersheds () August 27, 2017 6 / 30

  26. Ridgelines, flowlines, drainlines () August 27, 2017 7 / 30

  27. How does water flow on a slope? surface normal water drop flow of water iso−height gravity Elevation e ( x , y ), then flow direction is ∇ e = ( − ∂ e ∂ x , − ∂ e ∂ y ) and normal is [ − ∂ e ∂ x , − ∂ e ∂ y , 1]. Direction of steepest descent. Enough to check when e ( x , y ) = ax + by + c () August 27, 2017 8 / 30

  28. The Siddhagad Area () August 27, 2017 9 / 30

  29. Its Contour Map () August 27, 2017 10 / 30

  30. Contours and contour-flows 85 plain ridge 90 gentle slope narrow 95 divergence valley 100 convergence () August 27, 2017 11 / 30

  31. A sample Topo-sheet Gudwanwadi reservoir. () August 27, 2017 12 / 30

  32. A close-up Notice (i) the point data which is used to build the curves, and (ii) the drainage lines. () August 27, 2017 13 / 30

  33. Decomposition ridges watershed(p)=all points from W1 where water flows to p. Either watershed(p) is disjoint p1 W2 with watershed (q) W4 p2 Or watershed(p) ⊆ watershed W3 W3 (q) p4 W3 p3 This may be used to decompose a W3 terrain into disjoint watersheds of appropriate sizes. () August 16, 2015 12 / 24

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