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Chapter
Jun 2, 2022

Assessment, Evaluation, and Code Development of the Particle Swarm Optimisation (PSO) Method for an Automatic Calibration of the TOPMODEL

Publication: World Environmental and Water Resources Congress 2022

ABSTRACT

TOPMODEL is a widely used, physically based distributed rainfall-runoff model developed in the 1970s that has been used to model multiple watersheds from the Latin American sphere. However, to the best of our knowledge, it has not been applied in Peruvian watersheds. This contribution reports (1) the adequation of the particle swarm optimisation (PSO) for automatic calibration of TOPMODEL, and (2) the application of TOPMODEL to the Chillón and Cañete watersheds, Perú. The following metrics were obtained in the validation stage: Nash-Sutcliffe = 0.85 and Kling-Gupta = 0.87 (Cañete); and Nash-Sutcliffe = 0.79 and Kling-Gupta = 0.84 (Chillón). Under the light of these results, we believe that (1) PSO represents a reliable calibration method for TOPMODEL, which currently relies in the generalised likelihood uncertainty estimation (GLUE) methodology to that end, and (2) TOPMODEL successfully modelled the hydrologic processes at that study catchments at both daily and monthly basis.

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REFERENCES

Beven, K. J., and Kirkby, M. J. (1978). Beven_kirkby_1979.pdf. In Hydrological Science.
Beven, K., and Freer, J. (2001). A dynamic topmodel. Hydrological Processes, 15(10), 1993–2011. https://doi.org/10.1002/hyp.252.
Buytaert, W., Célleri, R., De Biévre, B., Deckers, J., and Wyseure, G. (2003). Modelando el comportamiento hidrológico de microcuencas de páramo en el Sur del Ecuador con TOP MODEL. Marginalia, 6, 149–157. http://paramo.cc.ic.ac.uk/pubs/ES/topmodel.pdf.
Carrillo, M. (2010). Modelación hidrológica semidistribuida de micro cuencas de diferente cobertura vegetal. 129. http://dspace.ucuenca.edu.ec/bitstream/123456789/733/1/ti861.pdf.
Devia, G. K., Ganasri, B. P., and Dwarakish, G. S. (2015). A Review on Hydrological Models. Aquatic Procedia, 4(Icwrcoe), 1001–1007. https://doi.org/10.1016/j.aqpro.2015.02.126.
Ferrero, V. O. (2004). Hidrología Computacional y Modelos Digitales del Terreno - Teoria, práctica y filosofía de una nueva forma de análisis hidrológico. 365. http://www.gabrielortiz.com/index.asp?Info=099.
García Nieto, P. J., García-Gonzalo, E., Bernardo Sánchez, A., and Rodríguez Miranda, A. A. (2018). Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain). Environmental Modeling and Assessment, 23(3), 229–247. https://doi.org/10.1007/s10666-017-9578-y.
Gil, E. G., and Tobón, C. (2016). Hydrological modelling with TOPMODEL of chingaza páramo, Colombia. Revista Facultad Nacional de Agronomia Medellin, 69(2), 7919–7933. https://doi.org/10.15446/rfna.v69n2.59137.
INRENA. (2003). Estudio Integral De Los Recursos Hídricos De La Cuenca Del Río Chillón Componente Hidrología Superficial. http://www.ana.gob.pe/media/296600/estudio_hidrologico_chillon.pdf.
Jeziorska, J., and Niedzielski, T. (2018). Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland). Acta Geophysica, 66(2), 203–222. https://doi.org/10.1007/s11600-018-0121-6.
Okwu, M. O., and Tartibu, L. K. (2021). Particle Swarm Optimisation. Studies in Computational Intelligence, 927, 5–13. https://doi.org/10.1007/978-3-030-61111-8_2.
Package, T., and Buytaert, A. W. (2018). Package ‘ topmodel’.
Pijl, A., Brauer, C. C., Sofia, G., Teuling, A. J., and Tarolli, P. (2018). Hydrologic impacts of changing land use and climate in the Veneto lowlands of Italy. Anthropocene, 22, 20–30. https://doi.org/10.1016/j.ancene.2018.04.001.
Poli, R., Kennedy, J., and Blackwell, T. (2007). Particle swarm optimization: An overview. Swarm Intelligence, 1(1), 33–57. https://doi.org/10.1007/s11721-007-0002-0.
Zambrano-Bigiarini, M., and Rojas, R. (2013). A model-independent Particle Swarm Optimisation software for model calibration. Environmental Modelling and Software, 43, 5–25. https://doi.org/10.1016/j.envsoft.2013.01.004.

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Go to World Environmental and Water Resources Congress 2022
World Environmental and Water Resources Congress 2022
Pages: 1232 - 1241

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Published online: Jun 2, 2022

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Jonathan G. Qquenta [email protected]
1Dept. of Mechanical Fluid Engineering, National Univ. of San Marcos, Lima, Peru; National Service of Meteorology and Hydrology of Peru (SENAMHI), Lima, Peru. Email: [email protected]
Miguel A. Astorayme [email protected]
2Dept. of Mechanical Fluid Engineering, National Univ. of San Marcos, Lima, Peru; Dept. of Civil Engineering, Pontifical Catholic Univ. of Peru, Lima, Peru. Email: [email protected]; [email protected]
Ronald R. Gutiérrez, Ph.D. [email protected]
3Dept. of Civil Engineering, Pontifical Catholic Univ. of Peru, Lima, Peru. Email: [email protected]
Waldo S. Lavado, Ph.D. [email protected]
4National Service of Meteorology and Hydrology of Peru (SENAMHI), Lima, Peru. Email: [email protected]; [email protected]

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