Investigating the capabilities of evolutionary data-driven techniques using the challenging estimation of soil moisture content

Journal of Hydroinformatics

Volumn 11, Issue 3-4, 2009, Pages 237-251

  Elshorbagy, Amin ^a   El Baroudy, Ibrahim ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Evolutionary polynomial regression; Genetic programming; Prediction; Soil moisture; Tool uncertainty

Indexed keywords

EID: 68949119695     PISSN: 14647141     EISSN: None     Source Type: Journal    
DOI: 10.2166/hydro.2009.032     Document Type: Article

References (56)

1. Albertson, J. D. & Montaldo, N. 2003 Temporal dynamics of soil moisture: 1. Theoretical basis. Water Resour. Res. 39 (10), 1274.
2. Aubert, D., Loumagne, C. & Oudin, L. 2003 Sequential assimilation of soil moisture and stream flow data in a conceptual rainfall-runoff model. J. Hydrol. 280, 145-161.
3. Babovic, V. & Abbot, M. B. 1997 The evolution of equations from hydraulic data part II: applications. J. Hydraulic Res. 35 (3), 411-430.
4. Babovic, V. & Keijzer, M. 2000 Genetic programming as model induction engine. J. Hydroinform. 2 (1), 35-60.
5. Babovic, V. & Keijzer, M. 2002 Rainfall-runoff modelling based on genetic programming. Nordic Hydrol. 33 (5), 331-346.
6. Banzhaf, W., Nordin, P., Keller, R. E. & Francone, F. D. 1998 Genetic Programming-An Introduction: on the Automatic Evolution of Computer Programs and Its Applications. Morgan Kaufmann Publishers, Inc., San Francisco, California.
7. Brutsaert, W. 1982 Evaporation into the Atmosphere. D. Reidel., Dordrecht, Holland.
8. Carey, S. K. 2006 Energy and water exchange from a saline-sodic overburden reclamation soil cover: fort Mcmurray, Alberta. Proceedings of CLRA Conference, Ottawa, ON, August 20-23.
9. Coulibaly, P. 2004 Downscaling daily extreme temperatures with genetic programming. Geophys. Res. Lett. 31, L16203.
10. Daly, E. & Porporato, A. 2005 A review of soil moisture dynamics: from rainfall infiltration to ecosystem response. Environ. Eng. Sci. 22 (1), 9-24.
11. Daly, E. & Porporato, A. 2006 Impact of hydroclimatic fluctuations on the soil water balance. Water Resour. Res. 42, W06401.
12. Davidson, J. W., Savic, D. A. & Walters, G. A. 1999 Method for identification of explicit polynomial formulae for the friction in turbulent pipe flow. J. Hydroinform. 1 (2), 115-126.
13. De Lannoy, G. J. M., Houser, P. R., Pauwels, V. R. N. & Verhoest, N. E. C. 2007 State and bias estimation for soil moisture profiles by an ensemble Kalman filter: effect of assimilation depth and frequency. Water Resour. Res. 43, W06401.
14. Detto, M., Montaldo, N., Albertson, J. D., Mancini, M. & Katul, G. 2006 Soil moisture and vegetation controls on evapotranspiration in a heterogeneous mediterranean ecosystem in Sardinia, Italy. Water Resour. Res. 42, W08419.
15. D'Odorico, P., Ridolfi, L., Porporato, A. & Rodriuguez-Iturbe, I. 2000 Preferential state of seasonal soil moisture: the impact of climate fluctuations. Water Resour. Res. 36 (8), 2209-2219.
16. Doglioni, A., Giustolisi, O., Savic, D. A. & Webb, B. W. 2008 An investigation on stream temperature analysis based on evolutionary computing. Hydrol. Process. J. 22, 315-326.
17. Donker, N. H. W. 2001 A simple rainfall-runoff model based on hydrological units applied to the Teba catchment (south-east Spain). Hydrol. Process. J. 15, 135-149.
18. Elshorbagy, A. & Barbour, S. L. 2007 Probabilistic approach for design and hydrologic performance assessment of reconstructed watersheds. J. Geotech. Geoenviron. Eng. 133 (9), 1110-1118.
19. Elshorbagy, A. & Parasuraman, K. 2008 On the relevance of using artificial neural networks for estimating soil moisture content. J. Hydrol 362 (1-2), 1-18.
20. Elshorbagy, A., Julta, A., Barbour, L. & Kells, J. 2005 System dynamics approach to assess the sustainability of reclamation of distributed watersheds. Can. J. Civil Eng. 32, 144-158.
21. Entekhabi, D., Rodriuguez-Iturbe, I. & Castelli, F. 1996 Mutual interaction of soil moisture state and atmospheric processes. J. Hydrol. 184, 3-17.
22. Fernandez-Galvez, J., Verhoef, A. & Barahona, E. 2007 Estimating soil water fluxes from soil water records obtained using dielectric sensors. Hydrol. Process. J. 21, 2785-2793.
23. Francone, F. D. 2001 Discipulus: Owner's Manual. Register Machine Learning Technologies, Inc. Littleton, CO.
24. Giustolisi, O. & Savic, D. A. 2006 A symbolic data-driven technique based on evolutionary polynomial regression. J. Hydroinform. 8 (3), 207-222.
25. Giustolisi, O., Doglioni, A., Savic, D. A. & Webb, B. W. 2007 A multi-model approach to analysis of environmental phenomena. Environ. Model. Softw. 22 (5), 674-682.
26. Goldman, D. M., Marino, M. A. & Feldman, A. D. 1990 Runoff prediction uncertainty for ungauged agricultural watersheds. J. Irrigation Drainage Eng. 16 (6), 752-768.
27. Hong, Y.-S., White, P. A. & Scott, D. M. 2005 Automatic rainfall recharge model induction by evolutionary computational intelligence. Water Resour. Res. 41, W08422.
28. Jayawardena, A. W., Muttil, N. & Fernando, T. M. K. G. 2005 Rainfall-runoff modelling using genetic programming. In MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (ed. A. Zerger & R. M. Argent), December 2005, pp. 1841-1847.
29. Karl, T. R. 1986 The relationship of soil moisture parameterizations to subsequent seasonal and monthly mean temperature in the united states. Mon. Weather Rev. 114, 675-686.
30. Keijzer, M. & Babovic, V. 2002 Declarative and preferential bias in GP-based scientific discovery. Genet. Programming Evolvable Mach. 3, 41-79.
31. Khu, S. T., Liong, S. Y., Babovic, V., Madsen, H. & Muttil, N. 2001 Genetic programming and its application in real-time runoff forecasting. J. Am. Water Resour. Assoc. 37 (2), 439-451.
32. Koza, J. R. 1992 Genetic Programming: on the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge, MA.
33. Laucelli, D., Berardi, L. & Doglioni, A. 2005 Evolutionary polynomial regression toolbox: version 1. SA. Department of Civil and Environmental Engineering, Technical University of Bari, Bari, Italy. Available from: http:www.hydroinformatics.it/prod02.htm (accessed March 2008).
34. Lawford, R. G. 1992 An overview of soil moisture and its role in the climate system. In Proceedings of the National Hydrology Research Centre Workshop (ed. F. J. Eley, R. Granger & L. Martin), March 9-10, pp. 1-12.
35. Mahmood, R. 1996 Scale issues in soil moisture modeling: problems and prospects. Prog. Phys. Geogr. 20 (3), 273-291.
36. Maier, H. R. & Dandy, G. C. 2000 Application of artificial neural networks to forecasting of surface water quality variables: issues, applications and challenges. In Artificial Neural Networks in Hydrology (ed. R. S. Govindaraju & A. R. Rao), pp. 287-309. Kluwer, Dordrecht, The Netherlands.
37. Minns, T. 2000 Subsymbolic methods for data mining in hydraulic engineering. J. Hydroinform. 2 (1), 3-13.
38. Mohanty, B. P., Skaggs, T. H. & Famiglietti, J. S. 2000 Analysis and mapping of field-scale soil moisture variability using high-resolution, ground-based data during the southern Great Plains 1997 (SGP97) hydrology experiment. Water Resour. Res. 36 (4), 1023-1031.
39. Munro, R. K., Lyons, W. F., Shao, Y., Wood, M. S., Hood, L. M. & Leslie, L. M. 1998 Modelling land surface-atmosphere interactions over the Australian continent with and emphasis on the role of soil moisture. Environ. Model. Softzv. 13, 333-339.
40. Parasuraman, K., Elshorbagy, A. & Carey, S. K. 2007a Modelling dynamics of the evapotranspiration process using genetic programming. Hydrol. Sci. J. 53 (3), 563-578.
41. Parasuraman, K., Elshorbagy, A. & Si, B. C. 20076 Estimating saturated hydraulic conductivity using genetic programming. Soil Sci. Soc. Am. J. 71, 1676-1684.
42. Rodriguez-Iturbe, I., D'Odorico, P., Porporato, A. & Ridolfi, L. 1999 On the spatial and temporal links between vegetation, climate and soil moisture. Water Resour. Res. 35 (12), 3709-3722.
43. Rollenbeck, R. & Anhuf, D. 2007 Characteristics of the water and energy balance in an Amazonian lowland rainforest in Venezuela and the impact of the ENSO-cycle. J. Hydrol. 337 (3-4), 377-390.
44. Savic, D. A., Giustolisi, O., Berardi, L., Shepherd, W., Djordjevic, S. & Saul, A. 2006 Sewers failure analysis using evolutionary computing. Water Manage, J. 159 (2), 111-118.
45. Segal, M. & Arritt, R. W. 1992 Nonclassical mesoscale circulations caused by surface sensible heat-flux gradients. Bull. Am. Metrol. Soc. 73, 1593-1604.
46. Silva, S. 2004 GPLAB; A genetic programming toolbox for MATLAB. ECOS-Evolutionary and Complex Systems Group University of Coimbra, Portugal, Version 2.
47. Small, E. E. & Kurc, S. A. 2003 Tight coupling between soil moisture and the surface radiation budget in semiarid environment: implications for land-atmosphere interactions. Water Resour. Res. 39 (10), 1278.
48. Todini, E. 1996 The ARNO rainfall-runoff model. J. Hydrol. 175, 339-382.
49. Tokar, A. & Markus, M. 2000 Precipitation-runoff modeling using artificial neural networks and conceptual models. J. Hydrologic Eng. 5(2), 156-161.
50. Warkentin, A. A. 1992 Use of soil moisture estimates for river forecasting. In Proceedings of the National Hydrology Research Centre workshop (ed. F. J. Eley, R. Granger & L. Martin), March 9-10, pp. 21-33.
51. Warrick, A. W. 2003 Soil Water Dynamics. Oxford University Press, New York, NY.
52. Whigham, P. A. & Crapper, P. F. 2001 Modelling rainfall-runoff using genetic programming. Math. Computer Model. 33 (6-7), 707-721.
53. Wigneron, J., Olioso, A., Calvet, J. & Bertuzzi, P. 1999 Estimating root zone soil moisture from surface soil moisture data and soil-vegetation- atmosphere transfer modeling. Water Resour. Res. 35(12), 3735-3745.
54. Williams, C. A. & Albertson, J. D. 2004 Soil moisture controls on canopy-scale water and carbon fluxes in an African savanna. Water Resour. Res. 40, W09302.
55. Yamaguchi, Y. & Shinoda, M. 2002 Soil moisture modeling based on multiyear observations in the Sahel. J. Appl. Meteorol. 41, 1140-1146.
56. Yoo, C, Kim, S. J. & Lee, J. 2001 Land cover change and its impact on soil-moisture-field evolution. J. Hydrol. 6 (5), 436-441.