Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture

Agricultural Water Management

Volumn 83, Issue 3, 2006, Pages 221-232

  Ines, Amor V M ^a   Honda, Kiyoshi ^b   Das Gupta, Ashim ^b   Droogers, Peter ^c   Clemente, Roberto S ^b  

^a Texas A and M University   (United States)

^b ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

^c FutureWater Wageningen   (Netherlands)

Author keywords

Data assimilation; Evapotranspiration; Genetic algorithms; Remote sensing; Simulation; Water management

Indexed keywords

AGRICULTURE; COMPUTER SIMULATION; EVAPOTRANSPIRATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; REMOTE SENSING;

DATA ASSIMILATION; IRRIGATION SYSTEMS; REGIONAL MODELING; SOIL-WATER-ATMOSPHERE-PLANT MODEL (SWAP);

WATER RESOURCES;

AGRICULTURE; COMPUTER SIMULATION; EVAPOTRANSPIRATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; REMOTE SENSING; WATER RESOURCES;

CROP YIELD; GENETIC ALGORITHM; IRRIGATION SYSTEM; NUMERICAL MODEL; OPTIMIZATION; REMOTE SENSING; WATER AVAILABILITY; WATER MANAGEMENT;

AGRICULTURE; ALGORITHMS; MATHEMATICAL MODELS; REMOTE SENSING; SIMULATION; WATER MANAGEMENT; WATER RESOURCES;

ASIA; EURASIA; HARYANA; INDIA; SOUTH ASIA;

TRITICUM AESTIVUM;

EID: 33747354100     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2005.12.006     Document Type: Article

References (46)

1. Ahmad M., Bastiaanssen W.G.M., and Feddes R.A. Sustainable use of groundwater for irrigation: a numerical analysis of the subsoil water fluxes. Irrig. Drain. 51 (2002) 227-241
2. Bandaragoda, D.J., 1998. Design and practice of water allocation rules: lessons from warabandi in Pakistan's Punjab. Research Report 17. International Irrigation Management Institute, Colombo, Sri Lanka.
3. Bastiaanssen W.G.M., Allen R.G., Droogers P., D'Urso G., and Steduto P. Inserting man's irrigation and drainage wisdom into soil water flow models and bringing it back out: how far have we progressed?. In: Feddes R.A., de Rooij G.H., van Dam J.C., and Bogers R.J. (Eds). Unsaturated-Zone Modeling: Progress, Challenges and Applications (2004), Wageningen University, Wageningen, The Netherlands 263-299
4. Bastiaanssen W.G.M., Menenti M., Feddes R.A., and Holtslag A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. J. Hydrol. 212-213 (1998) 198-212
5. Berkoff, J., Huppert, W., 1987. Matching crop water requirements in large systems with a variable water supply: experiments in India. ODI-IIMI Irrigation Management Network Paper 87/3d. Overseas Development Institute, London.
6. Bos M.G. Performance indicators for irrigation and drainage. In: Irrigation and Drainage Systems vol. 11, No. 2 (1997), Kluwer, Dordrecht pp. 119-137
7. Bos, M.G., Nugteren, J., 1990. On Irrigation Efficiencies, fourth ed. (first ed., 1974). ILRI Publication 19. International Institute for Land Reclamation and Improvement, Wageningen, pp. 141.
8. Boogaard, H.L., Van Diepen, C.A., Rötter R.P., Cabrera, J.M.C.A., Van Laar, H.H., 1998. User's Guide for the WOFOST 7.1 Crop Growth Simulation Model and WOFOST Control Center 1.5. Technical Document 52. DLO-Winand Staring Centre, Wageningen, pp. 144.
9. Boumans J.H., Van Hoorn J.W., Kruseman G.P., and Tanwar B.S. Water table control, reuse and disposal of drainage water in Haryana. Agric. Water Manage. 14 (1988) 537-545
10. Cai X., McKinney D.C., and Lasdon L.S. Solving nonlinear water management models using a combined genetic algorithm and linear programming approach. Adv. Water Resour. 24 (2001) 667-676
11. Carroll, D.L., 1998. GA Fortran Driver Version 1.7, http://www.cuaerospace.com/carroll/ga.html.
12. Cieniawski S.E., Eheart J.W., and Ranjithan S. Using genetic algorithms to solve a multiobjective groundwater monitoring problem. Water Resour. Res. 31 (1995) 399-409
13. Droogers P., and Bastiaanssen W.G.M. Irrigation performance using hydrological and remote sensing modeling. J. Irrig. Drain. Eng. 128 (2002) 11-18
14. Droogers P., Bastiaanssen W.G.M., Beyazgül M., Kayam Y., Kite G.W., and Murray-Rust H. Distributed agro-hydrological modeling of an irrigation system in Western Turkey. Agric. Water Manage. 43 (2000) 183-202
15. Droogers P., and Kite G. Water productivity from integrated basin modeling. Irrig. Drain. Syst. 13 (1999) 275-290
16. Droogers P., Salemi H.R., and Manampoush A.R. Exploring basin-scale salinity problems using a simplified water accounting model: the example of Zayandeh Rud basin, Iran. Irrig. Drain. 50 (2001) 335-348
17. Droogers P., Torabi M., and Pazira E. Field-scale modeling to explore salinity problems in irrigated agriculture. Irrig. Drain. 50 (2001) 77-90
18. Feddes R.A., Kowalik P.J., and Zarandy H. Simulation of field water use and crop yield. Simulation Monographs (1978), Pudoc, Wageningen, The Netherlands
19. Gieske, A., Miranzadeh, M., Mamanpoush, A.R., 2000. Groundwater Chemistry of the Lenjanat District, Esfahan Province, Iran. IAERI-IWMI Research Reports 4.
20. Goldberg D.E. Genetic Algorithms in Search and Optimization and Machine Learning (1989), Addison-Wesley Publ. Co. Inc., USA
21. Hansen J.W., and Ines A.V.M. Stochastic disaggregation of monthly rainfall data for crop simulation studies. Agric. For. Meteorol. 131 (2005) 233-246
22. Hopmans J.W. Treatment of spatially variable groundwater levels in one-dimensional stochastic unsaturated water-flow modeling. Agric. Water Manage. 15 (1988) 19-36
23. Hopmans J.W., and Stricker J.N.M. Stochastic analysis for soil water regime in a watershed. J. Hydrol. 105 (1989) 57-84
24. Hussain, I., Sakthivadivel, R., Amarasinghe, U., Mudasser, M., Molden, D., 2003. Land and water productivity of wheat in the western Indo-Gangetic plains of India and Pakistan: a comparative analysis. Research Report 65. International Water Management Institute, Colombo, Sri Lanka, pp. 50.
25. Ines, A.V.M., 2002. Improved crop production integrating GIS and genetic algorithms. Doctoral Thesis. Asian Institute of Technology (AIT), Bangkok, Thailand, pp. 236.
26. Ines A.V.M., Gupta A.D., and Loof R. Application of GIS and crop growth models in estimating water productivity. Agric. Water Manage. 54 (2002) 205-225
27. Ines A.V.M., and Droogers P. Inverse modelling in estimating soil hydraulic functions: A genetic algorithm approach. Hydrol. Earth Syst. Sci. 6 (2002) 49-65
28. Ines A.V.M., and Droogers P. Inverse modeling to quantify irrigation system characteristics and operational management. Irrig. Drain. Syst. 16 (2002) 233-252
29. Jesus C.M., Marino M.A., and Holzapfel E.A. Planning model of irrigation district. J. Irrig. Drain. Eng. ASCE. 113 (1987) 549-563
30. Jhorar R.K., Bastiaanssen W.G.M., Feddes R.A., and Van Dam J.C. Inversely estimating soil hydraulic functions using evapotranspiration fluxes. J. Hydrol. 258 (2002) 198-213
31. Lakshminarayana V., and Rajagopalan S.P. Optimal cropping pattern for basin India. J. Irrig. Drain. Eng. Div. ASCE (IRI). 103 (1977) 53-71
32. Molden, D., 1997. Accounting for water use and productivity. SWIM Paper. International Irrigation Management Institute, Colombo, Sri Lanka, vol. 1, pp. 16.
33. Mostesinos P., Camacho E., and Alvarez S. Seasonal furrow irrigation model with Genetic Algorithms (OPTIMEC). Agric. Water Manage. 52 (2001) 1-16
34. Paudyal G.N., and Gupta A.D. Irrigation planning by multi-level optimization. J. Irrig. Drain. Eng. 116 (1990) 273-291
35. Raman H., Mohan S., and Rangacharya N.C.V. Decision support for crop planning during droughts. J. Irrig. Drain. Eng. 118 (1992) 229-241
36. Sakthivadivel, R. Thiruvengadachari, A., Bastianssen, W.G.M., Molden, D., 1999. Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques. Research Report 28. IWMI, Sri Lanka, pp. 22.
37. Sarwar A., Bastiaanssen W.G.M., Boers M.Th., and Van Dam J.C. Evaluating drainage design parameters for the fourth drainage project Pakistan by using SWAP model. Part I. Calibration. Irrig. Drain. Syst. 14 (2000) 257-280
38. Seckler, D., 1996. The new era of water resources management: from 'dry' to 'wet' water savings. Research Report 1. International Water Management Institute, Colombo, Sri Lanka, pp. 17.
39. Seckler, D., Amarasinghe, U., Molden, D., de Silva, R., Barker, R., 1998. World water demand and supply, 1990 to 2025: scenarios and issues. Research Report 19. International Water Management Institute, Colombo, Sri Lanka, pp. 40.
40. Seckler D., Barker R., and Amarasinghe R. Water scarcity in the twenty-first century. Water Resour. Dev. 15 (1999) 29-42
41. Singh R., and Singh J. Irrigation planning in wheat (Triticum aestivum) under deep water table conditions through simulation modelling. Agric. Water Manage. 33 (1997) 19-29
42. Tyagi N.K., Agrawal A., Sakthivadivel, and Ambast S.K. Water management decisions on small farms under scarce canal water supply: a case study from NW India. Agric. Water Manage. 77 (2005) 180-195
43. Van Dam, J.C., 2000. Field-scale water flow and solute transport. SWAP model concepts, parameter estimation and case studies. Doctoral Thesis. Wageningen University, The Netherlands.
44. Van Dam, J.C., Huygen, J., Wesseling, J.G., Feddes, R.A., Kabat, P., Van Waslum, P.E.V., Groenendjik, P., Van Diepen, C.A., 1997. Theory of SWAP version 2.0: simulation of water flow and plant growth in the soil-water-atmosphere-plant environment. Technical Document 45. Wageningen Agricultural University and DLO Winand Staring Centre, The Netherlands.
45. Wesseling, J.G., Kroes, J.G., 1998. A global sensitivity analysis of the model SWAP. Report 160. DLO Winand Staring Centre, Wageningen, The Netherlands.
46. Zwart S.J., and Bastiaanssen W.G.M. Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize. Agric. Water Manage. 69 (2004) 115-133