Calibration of a distributed irrigation water management model using remotely sensed evapotranspiration rates and groundwater heads

Irrigation and Drainage

Volumn 60, Issue 1, 2011, Pages 57-69

  Jhorar, Raj Kumar ^a   Smit, A A M F R ^b   Bastiaanssen, W G M ^c   Roest, C W J ^b  

^a CCS HARYANA AGRICULTURAL UNIVERSITY   (India)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Distributed irrigation management models; Evapotranspiration; Groundwater; India; Parameter estimation; Remote sensing

Indexed keywords

EID: 78851471995     PISSN: 15310353     EISSN: 15310361     Source Type: Journal    
DOI: 10.1002/ird.541     Document Type: Article

References (39)

1. Agarwal MC, Khanna SS. 1983. Efficient Soil and Water Management in Haryana. Haryana Agricultural University, Hisar, India.
2. Ahuja RL, Ram D, Panwar BS, Kuhad MS, Jagan Nath. 2001. Soils of Sirsa District (Haryana) and their Management. CCS Haryana Agricultural University, Hisar, India.
3. Bastiaanssen WGM, Singh R, Kumar S, Schakel JK, Jhorar RK. 1996. Analysis and recommendations for integrated on-farm water management in Haryana, India: a model approach. Report 118, DLO Winard Staring Centre: Wageningen, The Netherlands.
4. Bastiaanssen WGM, Menenti M, Feddes RA, Holtslag AAM. 1998. A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formulation. Journal of Hydrology 212-213: 198-212.
5. Bastiaanssen WGM, Sakthivadivel R, van Dellen A. 1999. Spatially delineating actual and relative evapotranspiration from remote sensing to assist spatial modelling of non-point source pollutants. In Assessment of Non-Point Source Pollution in the Vadoze Zone, Corwin DL, Loague K, Ellsworth TR (eds). Geophysical Monograph 108. American Geophysical Union: Washington, DC; 179-196.
6. Bastiaanssen WGM, Noordman EJM, Pelgrum H, Davids G, Allen RG. 2005. SEBAL for spatially distributed ET under actual management and growing conditions. ASCE Journal of Irrigation and Drainage Engineering 131: 85-93.
7. Blasone R-S, Madsen H, Rosbjerg D. 2008. Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling. Journal of Hydrology 353: 18-32.
8. Boels D, Smit AAMFR, Jhorar RK, Kumar R, Singh J. 1996. Analysis of Water Management in Sirsa District in Haryana: Model Testing and Application. Report 115. DLO Winand Staring Centre: Wageningen, The Netherlands.
9. Boonstra J, de Ridder NA. 1990. Numerical Modelling of Groundwater Basins, (2nd edn). Publication 48. International Institute for Land Reclamation and Improvement (ILRI): Wageningen, The Netherlands.
10. Boonstra J, Singh J, Kumar R. 1996. Groundwater Model Study for Sirsa District, Haryana. International Institute for Land Reclamation and Improvement (ILRI): Wageningen, The Netherlands.
11. Boyle DP, Gupta HV, Sosooshian S. 2000. Towards improved calibration of hydrologic models: combining the strengths of manual and automatic methods. Water Resources Research 36: 3663-3674.
12. Clausnitzer V, Hopmans JW. 1995. LM-OPT: general purpose optimization code based on the Levenberg-Marquardt algorithm. LAW Resources Paper 100032, Hydrological Science, Dept. LAW, US Davis, California.
13. Cooley RL. 1985. A comparison of several methods of solving nonlinear regression groundwater flow problems. Water Resources Research 21: 1525-1538.
14. Doherty J, Brebber L, Whyte P. 1995. PEST. Model Independent Parameter Estimation. Australian Centre for Tropical Freshwater Research: James Cooke University, Townsville, Australia.
15. Droogers P, Kite G. 1999. Water productivity from integrated basin modeling. Irrigation and Drainage Systems 13: 275-290.
16. D'Urso G, Menenti M, Santini A. 1999. Regional application of one-dimensional water flow models for irrigation management. Agricultural Water Management 40: 291-302.
17. Eckhardt K, Arnold JG. 2001. Automatic calibration of a distributed catchment model. Journal of Hydrology 251: 103-109.
18. Farah HO, Bastiaanssen WGM, Feddes RA. 2004. Evaluation of the temporal variability of the evaporative fraction in a tropical watershed. International Journal of Applied Earth Observation and Geoinformation 5: 129-140.
19. Finsterle S, Pruess K. 1995. Solving the estimation-identification problem in two-phase modeling. Water Resources Research 31: 913-924.
20. Franks S, Gineste Ph, Beven KJ, Merot Ph. 1998. On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process. Water Resources Research 34: 787-797.
21. Gupta HV, Sorooshian S, Yapo PO. 1998. Towards improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resources Research 34: 751-763.
22. Hanson JD, Rojas KW, Shaffer MJ. 1999. Calibrating the root zone water quality model. Agronomy Journal 91: 171-177.
23. Jhorar RK. 2002. Estimation of effective soil hydraulic parameters for water management studies in semi-arid zones: integral use of modelling, remote sensing and parameter estimation. Doctoral thesis, Wageningen University, The Netherlands.
24. Jhorar RK, Bastiaanssen WGM, Feddes RA, van Dam JC. 2002. Inversely estimating soil hydraulic functions using evapotranspiration fluxes. Journal of Hydrology 258: 198-213.
25. Kustas WP, Perry EM, Doraiswamy PC, Moran MS. 1994. Using satellite remote sensing to extrapolate evapotranspiration estimates in time and space over a semiarid rangeland basin. Remote Sensing of Environment 49: 275-286.
26. Marquardt DW. 1963. An algorithm for least squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics 11: 431-441.
27. Menenti M, Azzali S, d'Urso G. 1996. Remote sensing, GIS and hydrological modelling for irrigation management. In Sustainability of Irrigated Agriculture, Pereira LS, Feddes RA, Gilley JR, Lesaffre B (eds). Kluwer Academic Publishers: The Netherlands; Dordrecht 453-472.
28. Miller RW, Donahue RL. 1990. Soils: an Introduction to Soil and Plant Growth, (6th edn). Prentice-Hall International Inc. Englewood Cliffs, NJ.
29. Moran MS, Jackson RD. 1991. Assesssing the spatial distribution of evapotranspiration using remotely sensed inputs. Journal Environmental Quality 20: 725-737.
30. Olsthoorn TN. 1998. Groundwater modelling: calibration and the use of spreadsheets. PhD thesis, Delft University, The Netherlands.
31. Press WH, Flannery BP, Teukolsky SA, Vetterling WT. 1989. Numerical Recipes in Fortran, the Art of Scientific Computing. Cambridge University Press.
32. Refsgaard JC. 1997. Parameterisation, calibration and validation of distributed hydrological models. Journal of Hydrology 198: 69-97.
33. Sijtsma BR, Boels D, Visser TNM, Roest CWJ, Smit MFR. 1995. SIWARE User's Manual. Reuse Report 27. The Winand Staring Centre for Integrated Land, Soil and Water Research: Wageningen, The Netherlands.
34. Singh R, Jhorar RK, van Dam JC, Feddes RA. 2006. Distributed ecohydrological modelling to evaluate the performance of irrigation systems in Sirsa district. India II: impact of viable water management scenarios. Journal of Hydrology 329: 714-723.
35. Wahaj R. 2001. Farmers actions and improvements in irrigation performance below the Mogha: how farmers manage water scarcity and abundance in a large scale irrigation system in South-Eastern Punjab, Pakistan. PhD thesis, Wageningen University, The Netherlands.
36. Wallach D, Goffinet B, Bergez J-E, Debaeke P, Leenhardt D, Aubertot J-N. 2001. Parameter estimation for crop models, a new approach and application to a corn model. Agronomy Journal 93: 757-766.
37. Weiss R, Smith L. 1998. Parameter space methods in joint parameter estimation for groundwater flow models. Water Resources Research 34: 647-661.
38. Yan J, Han CT. 1991. Multiobjective parameter estimation for hydrologic models - weighting of errors. Transactions of ASAE 34: 135-141.
39. Yeh WWG, Soon YS. 1981. Aquifer parameter identification with optimum dimension in parameterization. Water Resources Research 17: 664-672.