Compromise Programming Based Model for Augmenting Food Production with Minimum Water Allocation in a Watershed: a Case Study in the Indian Himalayas

Water Resources Management

Volumn 28, Issue 15, 2014, Pages 5247-5265

  Dogra, Pradeep ^a   Sharda, V N ^b   Ojasvi, P R ^a   Prasher, Shiv O ^c   Patel, R M ^c  

^a ICAR INDIAN INSTITUTE OF SOIL AND WATER CONSERVATION   (India)

^b Agricultural Scientists Recruitment Board of ICAR   (India)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Compromise programming; Food production; Land use planning; Water allocation; Watershed management

Indexed keywords

AGRICULTURAL ROBOTS; CROPS; LAND USE; SOIL CONSERVATION; WATER CONSERVATION; WATER MANAGEMENT;

COMPROMISE PROGRAMMING; FOOD PRODUCTION; LAND USE PLANNING; WATER ALLOCATIONS; WATERSHED MANAGEMENT;

WATERSHEDS;

FOOD PRODUCTION; LAND USE PLANNING; LIVESTOCK FARMING; OPTIMIZATION; RESOURCE ALLOCATION; WATER AVAILABILITY; WATER MANAGEMENT; WATER SUPPLY; WATERSHED;

HIMALAYAS;

ALLIUM CEPA; LENS CULINARIS; ZINGIBER OFFICINALE;

EID: 84918562153     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-014-0666-3     Document Type: Article

References (51)

1. Abrishamchi A, Ebrahimian A, Tajrishi M et al (2005) Case study: application of multicriteria decision making to urban water supply. J Water Resour Plan Manag 131(4):326–335
2. Allen RG, Pereira LS, Raes D et al. (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Rome. http://www.fao.org/docrep/X0490E/x0490e00.htm. Accessed 2 February 2009
3. Anonymous (2006) Editorial: scenario-based studies of future land use in Europe. Agric Ecosyst Environ 114(1):1–6
4. Babel MS, Dasgupta A, Nayak DK (2005) A model for optimal allocation of water to competing demands. Water Resour Manag 19(6):693–712
5. Banskota M, Chalise SR (2000) Waters of life: perspectives of water harvesting in the Hindu-Kush Himalayas. International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal 101p
6. Bharati L, Rodgers C, Erdenberger T et al (2008) Integration of economic and hydrologic models: exploring conjunctive irrigation water use strategies in the Volta Basin. Agric Water Manag 95(8):925–936
7. Chang NB, Wen CG, Wu SL (1995) Optimal management of environmental and land resources in a reservoir watershed by multi-objective programming. J Environ Manag 44(2):145–161
8. Cong ZT, Yang DW, Gao B et al (2009) Hydrological trend analysis in the Yellow river basin using a distributed hydrological model. Water Resour Res 45: Article no. W00A13
9. de Fraiture C, Wichelns D (2010) Satisfying future water demands for agriculture. Agric Water Manag 97(4):502–511
10. de Fraiture C, Molden D, Wichelns D (2010) Investing in water for food, ecosystems, and livelihoods: an overview of the comprehensive assessment of water management in agriculture. Agric Water Manag 97(4):495–501
11. Doorenbos J, Pruitt WO (1975) Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper 24, Rome. http://www.fao.org/ag/AGL/aglw/cropwater/docs/chap2.pdf. Accessed 2 February 2009
12. Evans EM, Lee DR, Boisvert RN et al (2003) Achieving efficiency and equity in irrigation management: an optimization model of the El Angel watershed, Carchi, Ecuador. Agric Syst 77(1):1–22
13. Falkenmark M (2007) Shift in thinking to address the 21st century hunger gap, moving focus from blue to green water management. Water Resour Manag 21(1):3–18
14. Fattahi P, Fayyaz S (2010) A compromise programming model to integrated urban water management. Water Resour Manag 24(6):1211–1227
15. Gaiser T, Printz A, von Raumer HGS et al (2008) Development of a regional model for integrated management of water resources at the basin scale. Phys Chem Earth 33(1–2):175–182
16. Garg NK, Hassan Q (2007) Alarming scarcity of water in India. Curr Sci 93(7):932–941
17. Gebrezgabher SA, Meuwissen MPM, Lansink AGJMO (2014) A multiple criteria decision making approach to manure management systems in the Netherlands. Eur J Oper Res 232(3):643–653
18. Geng G, Wardlaw R (2013) Application of multi-criterion decision making analysis to integrated water resources management. Water Resour Manag 27(8):3191–3207
19. Ghosh BN, Dogra P, Bhattacharyya R et al (2012) Effects of grass vegetation strips on soil conservation and crop yield under rainfed conditions in the Indian sub-Himalayas. Soil Use Manag 28(4):635–646
20. Guo P, Huang GH, He L et al (2009) Interval-parameter two-stage stochastic semi-infinite programming: application to water resources management under uncertainty. Water Resour Manag 23(5):1001–1023
21. Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manag 21(9):1553–1566
22. Hajkowicz S, Higgins A (2008) A comparison of multiple criteria analysis techniques for water resource management. Eur J Oper Res 184(1):255–265
23. Han Y, Xu SG, Xu XZ (2008) Modeling multisource multiuser water resources allocation. Water Resour Manag 22(7):911–923
24. Han Y, Huang YF, Wang GQ et al (2011) A multi-objective linear programming model with interval parameters for water resources allocation in Dalian city. Water Resour Manag 25(2):449–463
25. Higgins AJ, Archer A, Hajkowicz S (2008) A stochastic non-linear programming model for a multiperiod water resource allocation with multiple objectives. Water Resour Manag 2(10):1445–1460
26. Hincal O, Altan-Sakarya AB, Ger AM (2011) Optimization of multi reservoir systems by genetic algorithm. Water Resour Manag 25(5):1465–1487
27. Hoff H, Falkenmark M, Gerten D et al (2010) Greening the global water system. J Hydrol 384(3–4):177–186
28. Kumar R, Singh RD, Sharma KD (2005) Water resources of India. Curr Sci 89(5):794–811
29. Loucks DP (2000) Sustainable water resources management. Water Int 25(1):3–10
30. Lu HW, Huang GH, Zeng GM et al (2008) An inexact two-stage fuzzy-stochastic programming model for water resources management. Water Resour Manag 22(8):991–1016
31. Lu HW, Huang GH, He L (2012) Simulation-based inexact rough-interval programming for agricultural irrigation management: a case study in the Yongxin county, China. Water Resour Manag 26(14):4163–4182
32. Messerli B, Ives JD (1997) Mountains of the world—a global priority. The Parthenon Publishing Group, New York, p 495
33. Molden D (ed) (2007) Water for food, water for life: a comprehensive assessment of water management in agriculture. Earthscan, London and International Water Management Institute, Colombo
34. Nazer DW, Tilmant A, Mimi Z et al (2010) Optimizing irrigation water use in the West Bank, Palestine. Agric Water Manag 97(2):339–345
35. NCIWRD (1999) Integrated water resources development: a plan for action. National Commission for Integrated Water Resources Development (NCIWRD), Ministry of Water Resources, Government of India, New Delhi
36. Paul S, Panda SN, Kumar DN (2000) Optimal irrigation allocation: a multilevel approach. J Irrig Drain Eng 126(3):149–156
37. Priestley CHB, Taylor RJ (1972) On the assessment of the surface heat flux and evaporation using large scale parameters. Mon Weather Rev 100(2):81–92
38. Rawat JS (1988) Water resources and burning hydrological problems of Kumaon. In: Valdiya KS (ed) Kumaon land and people. Gyanodaya Prakashan, Nainital, pp 201–202
39. Romero C, Rehman T (2003) Multiple criteria analysis for agricultural decisions. Elsevier Science BV, Amsterdam, 186p
40. Rosegrant MW, Cai X, Cline SA (2002) Global water outlook to 2025: averting an impeding crisis. Food policy report, A 2020 vision for food, agriculture, and the environment initiative. International Food Policy Research Institute, Washington DC and International Water Management Institute, Colombo
41. Sethi LN, Panda SN, Nayak MK (2006) Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India. Agric Water Manag 83(3):209–220
42. Sharda VN (2005) Integrated watershed management: managing valleys and hills in the Himalayas. In: Sharma BR, Samra JS, Scott CA, Wani SP (eds) Watershed management challenges: improving productivity, resources and livelihoods. International Water Management Institute, Colombo, pp 61–81
43. Sharda VN, Ojasvi PR, Dogra P et al (2009) Scenario-based assessment and management of water resources in mid-Himalayan micro-watersheds with limited data. Hydrol Sci J 54(6):1018–1034
44. Singh DP, Pannu RK (1998) Irrigation management in field crops. In: Yadav RL, Singh P, Prasad R, Ahlawat IPS (eds) Fifty years of agronomic research in India. Indian Society of Agronomy. Indian Agricultural Research Institute, New Delhi, pp 88–139
45. Singh JS, Singh SP, Ram J (1988) Fodder and fuelwood resources of Central Himalayas: problems and solutions. Planning Commission, Government of India, New Delhi
46. Soulis K, Dercas N (2007) Development of a GIS-based spatially distributed continuous hydrological model and its first application. Water Int 32(1):177–192
47. Tecle A (1992) Selecting a multicriterion decision making technique for watershed resource management. Water Resour Bull 28(1):129–140
48. Valdiya KS, Bartarya SK (1991) Hydrological studies of springs in the catchment of Gaula River, Kumaon, Lesser Himalayas, India. Mt Res Dev 11(3):239–258
49. Wang X, Sun Y, Song L et al (2009) An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. J Environ Manag 90(8):2612–2619, 2628–2635
50. Zarghami M, Abrishamchi A, Ardakanian R (2008) Multi-criteria decision making for integrated urban water management. Water Resour Manag 22(8):1017–1029
51. Zeleny M (1982) Multiple criteria decision making. McGraw-Hill, New York