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Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach

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Computational Intelligence Techniques in Earth and Environmental Sciences

Abstract

This chapter proposes fuzzy genetic approach so as to predict suspended sediment concentration (SSC) carried in natural rivers for a given stream cross section. Fuzzy genetic models are improved by combining two methods, fuzzy logic and genetic algorithms. The accuracy of fuzzy genetic models was compared with those of the adaptive network-based fuzzy inference system, multilayer perceptrons, and sediment rating curve models. The daily streamflow and suspended sediment data belonging to two stations, Muddy Creek near Vaughn (Station No: 06088300) and Muddy Creek at Vaughn (Station No: 06088500), operated by the US Geological Survey were used as case studies. The root mean square errors and determination coefficient statistics were used for evaluating the accuracy of the models. The comparison results revealed that the fuzzy genetic approach performed better than the other models in the estimation of the SSC.

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Acknowledgements

The data used in this study were downloaded from the web server of the USGS. The authors wish to thank the staff of the USGS who are associated with data observation, processing, and management of USGS web sites.

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Authors and Affiliations

  1. Faculty of Engineering and Architecture, Civil Engineering Department, Canik Başarι University, Samsun, Turkey

    Özgür Kişi

  2. Faculty of Engineering and Natural Sciences, Civil Engineering Department, Abdullah Gül University, Kayseri, Turkey

    Halil İbrahim Fedakar

Authors
  1. Özgür Kişi
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  2. Halil İbrahim Fedakar
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Corresponding author

Correspondence to Özgür Kişi .

Editor information

Editors and Affiliations

  1. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA, NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USA, Fort Collins, CO, USA

    Tanvir Islam

  2. NASA Goddard Space Flight Center, Greenbelt & ESSIC, University of Maryland College Park, MD, USA, Greenbelt, Maryland, USA

    Prashant K. Srivastava

  3. Department of Civil Engineering, IIT Delhi, Delhi, India

    Manika Gupta

  4. School of Geog. and Env. Sciences, Monash University, Melbourne, Australia

    Xuan Zhu

  5. School of Environmental Sciences Remote Sensing, Jawaharlal Nehru University, New Delhi, India

    Saumitra Mukherjee

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Kişi, Ö., Fedakar, H.İ. (2014). Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach. In: Islam, T., Srivastava, P., Gupta, M., Zhu, X., Mukherjee, S. (eds) Computational Intelligence Techniques in Earth and Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8642-3_10

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