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A Particle Swarm Optimization for Parameter Estimation of a Rainfall-Runoff Model

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Mathematics of Planet Earth

Part of the book series: Lecture Notes in Earth System Sciences ((LNESS))

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Abstract

Transfer function based models are widely used in hydrological modeling, especially for rainfall-runoff simulation. This paper deals with a new model associating three elementary transfer functions in series along four parallel branches. Each transfer function is a parametric probability density function with some physical meaning regarding hydrological transfers. Model inversion is performed using the so-called particle swarm optimization (PSO) technique. The systemic model and the PSO method were tested on the Sèvre Niortaise water catchment in France.

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References

  1. Nash, J. E. (1957). The form of the instantaneous unit hydrograph. IAHS Publication, 45, 114–121.

    Google Scholar 

  2. Pinault, J.-L., & Berthier, F. (2007). A methodological approach to characterize the resilience of aquatic ecosystems with application to Lake Annecy, France. Water Resources Research, 43, W01418 1:15.

    Google Scholar 

  3. Drogue, C. (1972). Analyse statistique des hydrogrammes de decrues des sources karstiques. Statistical analysis of hydrographs of karstic springs. Journal of Hydrology, 15, 49–68.

    Article  Google Scholar 

  4. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks 1995 (Vol. 4).

    Google Scholar 

  5. Gill, M. K., Kaheil, Y. H., Khalil, A., McKee, M., & Bastidas, L. (2006). Multiobjective particle swarm optimization for parameter estimation in hydrology. Water Resources Research, 42, W07417 1:14.

    Google Scholar 

  6. Chau, K. W. (2006). Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River. Journal of Hydrology, 329, 363–367.

    Article  Google Scholar 

  7. Fernández-Martínez, J. L., Mukerji, T., García-Gonzalo, E., & Fernández-Muñiz, Z. (2011). Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. Mathematical and Computer Modelling, 54, 2889–2899.

    Article  Google Scholar 

  8. Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I-A discussion of principles. Journal of Hydrology, 10, 282–290.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. IC2MP, University of Poitiers, 4 rue Michel Brunet, 86022 , Poitiers Cedex, France

    Frédéric Bardolle & Gilles Porel

  2. BRGM Poitou-Charentes, 5 rue de la Goélette, 86280 , Saint-Benoit, France

    Frédéric Bardolle & Francis Bichot

  3. LHyGeS, University of Strasbourg, 1 rue Blessig, 67084 , Strasbourg Cedex, France

    Frédérick Delay

  4. BRGM Water Environment and Ecotechnologies Division, 3 avenue Claude-Guillemin, 45060 , Orléans Cedex 2, France

    Nathalie Dörfliger

Authors
  1. Frédéric Bardolle
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  2. Frédérick Delay
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  3. Francis Bichot
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  4. Gilles Porel
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  5. Nathalie Dörfliger
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Corresponding author

Correspondence to Frédéric Bardolle .

Editor information

Editors and Affiliations

  1. Investigación&Prospectiva Geocientífica, Instituto Geológico y Minero de España, Madrid, Spain

    Eulogio Pardo-Igúzquiza

  2. Investigación&Prospectiva Geocientífica, Instituto Geológico y Minero de España, Madrid, Spain

    Carolina Guardiola-Albert

  3. Investigación&Prospectiva Geocientífica, Instituto Geológico y Minero de España, Madrid, Spain

    Javier Heredia

  4. Investigación&Prospectiva Geocientífica, Instituto Geológico y Minero de España, Madrid, Spain

    Luis Moreno-Merino

  5. Investigación&Prospectiva Geocientífica, Instituto Geológico y Minero de España, Madrid, Spain

    Juan José Durán

  6. Saudi Aramco, Dhahran, Saudi Arabia

    Jose Antonio Vargas-Guzmán

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© 2014 Springer-Verlag Berlin Heidelberg

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Bardolle, F., Delay, F., Bichot, F., Porel, G., Dörfliger, N. (2014). A Particle Swarm Optimization for Parameter Estimation of a Rainfall-Runoff Model. In: Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J., Vargas-Guzmán, J. (eds) Mathematics of Planet Earth. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32408-6_36

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