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Advances in Civil Engineering
Volume 2009, Article ID 353960, 10 pages
Research Article

Genetic Programming and Standardization in Water Temperature Modelling

1Instituto de Ingeniería, UNAM, Ciudad Universitaria, Edificio 5, Cub. 403, 04510 México, DF, Mexico
2Facultad de Ingeniería, UNAM, Ciudad Universitaria, 04510 México, DF, Mexico
3Department of Hydraulic Engineering, Maritime and Environmental, Universidad Politécnica de Catalunya, C/ Jordi Girona1-3, 08034 Barcelona, Spain
4Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Ciudad Universitaria, 04510 México, DF, Mexico

Received 21 May 2008; Revised 20 April 2009; Accepted 21 June 2009

Academic Editor: Bryan W. Karney

Copyright © 2009 Maritza Arganis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. A. Savic, G. A. Walters, and J. W. Davidson, “A genetic programming approach to rainfall-runoff modelling,” Water Resources Management, vol. 13, no. 3, pp. 219–231, 1999. View at Publisher · View at Google Scholar
  2. H. Madsen, M. B. Butts, S. T. Khu, and S. Y. Lyong, “Data assimilation in rainfall-runoff forecasting,” in Proceedings of the 4th Conference of Hydroinformatics, pp. 1–8, Cedar Rapids, Iowa, USA, July 2000.
  3. J. Dorado, J. R. Rabuñal, J. Puertas, A. Santos, and D. Rivero, “Prediction and modelling of the flow of a typical urban basin through genetic programming,” in Proceedings of the European WorkShops on Applications of Evolutionary Computation (EvoWorkshops '02), vol. 2279 of Lecture Notes in Computer Science, pp. 190–201, 2002.
  4. Y.-S. Hong and M. R. Rosen, “Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modelling,” Journal of Hydrology, vol. 259, no. 1–4, pp. 89–104, 2002. View at Publisher · View at Google Scholar
  5. M. Keijzer and V. Babovic, “Declarative and preferential bias in GP-based scientific discovery,” Genetic Programming and Evolvable Machines, vol. 3, pp. 41–79, 2002. View at Google Scholar
  6. E. L. Harris, V. Babovic, and R. A. Falconer, “Velocity predictions in compound channels with vegetated floodplains using genetic programming,” International Journal of River Basin Management, vol. 1, no. 2, pp. 117–123, 2003. View at Google Scholar
  7. M. Keijzer, M. Baptist, V. Babovic, and J. R. Uthurburu, “Determining equations for vegetation induced using genetic programming,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '05), pp. 1999–2006, Washington, DC, USA, June 2005. View at Publisher · View at Google Scholar
  8. B. Lehner, P. Döll, J. Alcamo, T. Henrichs, and F. Kaspar, “Estimating the impact of global change on flood and drought risks in Europe: a continental, integrated analysis,” Climatic Change, vol. 75, no. 3, pp. 273–299, 2006. View at Publisher · View at Google Scholar
  9. J. Seguí, Análisis de la Serie de Temperatura del Observatorio del Ebro 1894–2002, Observatori de l'Ebre, Roquetes, Spain, 2003.
  10. B. W. Webb and F. Nobilis, “Water temperature behaviour in the River Danube during the Twentieth Century,” Hydrobiologia, vol. 291, no. 2, pp. 105–113, 1994. View at Google Scholar
  11. R. Greve, “On the response of the Greenland ice sheet to greenhouse climate change,” Climatic Change, vol. 46, no. 3, pp. 289–303, 2000. View at Publisher · View at Google Scholar
  12. D. W. Schindler, “Widespread effects of climatic warming on freshwater ecosystems in North America,” Hydrological Processes, vol. 11, no. 8, pp. 1043–1067, 1997. View at Google Scholar
  13. M. Álvarez Cobelas, J. Catalán, and D. García De Jalón, “Impactos sobre los ecosistemas acuáticos continentales,” in Evaluación Preliminar de Los Impactos en España por Efecto del Cambio Climático, J. M. Moreno, Ed., pp. 113–146, Ministerio de Medio Ambiente, Madrid, Spain, 2005. View at Google Scholar
  14. D. Caissie, N. El-Jabi, and M. G. Satish, “Modelling of maximum daily water temperatures in a small stream using air temperatures,” Journal of Hydrology, vol. 251, no. 1-2, pp. 14–28, 2001. View at Publisher · View at Google Scholar
  15. J. M. Hellawell, Biological Indicators of Freshwater Pollution and Environment Management, Elsevier, London, UK, 1986.
  16. I. J. Winfield and J. S. Nelson, Cyprinid Fishes. Systematics, Biology and Exploitation, Chapman & Hall, London, UK, 1991.
  17. G.-R. Walther, E. Post, P. Convey et al., “Ecological responses to recent climate change,” Nature, vol. 416, no. 6879, pp. 389–395, 2002. View at Publisher · View at Google Scholar · View at PubMed
  18. C. D. Harvell, C. E. Mitchell, J. R. Ward et al., “Climate warming and disease risks for terrestrial and marine biota,” Science, vol. 296, no. 5576, pp. 2158–2162, 2002. View at Publisher · View at Google Scholar · View at PubMed
  19. S. R. Val, Incidencia de los embalses en el comportamiento térmico del río. Caso del sistema de embalses Mequinenza-Ribarroja-Flix en el río Ebro, Ph.D. thesis, Universitat Politècnica de Catalunya, Barcelona, Spain, 2003.
  20. J. Prats, R. Val, J. Armengol, and J. Dolz, “A methodological approach to the reconstruction of the 1949–2000 water temperature series in the Ebro River at Escatrón,” Limnetica, vol. 26, no. 2, pp. 293–306, 2007. View at Google Scholar
  21. M. L. Arganis, S. R. Val, V. K. Rodríguez, M. R. Domínguez, and R. J. Dolz, “Comparación de curvas de ajuste a la Temperatura del Agua de un río usando programación genética,” in Congreso Mexicano de Computación Evolutiva (COMEV '05), pp. 1–8, Universidad Nacional Autónoma de Aguascalientes, May 2005.
  22. M. L. Arganis, S. R. Val, M. R. Domínguez, V. K. Rodríguez, R. J. Dolz, and J. Eaton, “Comparison between equations obtained by means of multiple linear regression and genetic programming to approach measured climatic data in a river,” in IWA Watermex, pp. 1–8, Washington, DC, USA, May 2007.
  23. T. Bäck, Evolutionary Algorithms in Theory and Practice, Oxford University Press, Oxford, UK, 1996.
  24. N. L. Cramer, “A representation for the adaptive generation of simple sequential programs,” in Proceedings of the International Conference on Genetic Algorithms and the Applications, J. J. Grefenstette, Ed., pp. 183–187, 1985.
  25. J. R. Koza, “Hierarchical genetic algorithms operating on populations of computer programs,” in Proceeding of the 11th International Joint Conference on Artificial Intelligence, vol. 1, pp. 768–774, Morgan Kaufmann, 1989.
  26. J. E. Edinger, D. K. Brady, and J. C. Geyer, “Heat exchange and transport in the environment,” Tech. Rep. 14, Electric Power Research Institute, Palo Alto, Calif, USA, 1974. View at Google Scholar
  27. The MathWorks, “MATLAB Reference Guide,” The MathWorks, Inc., 1992.