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Applications of Soft Computing Methods in Environmental Engineering

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Handbook of Environmental Materials Management

Abstract

Soft computing has been extensively studied and applied in the last three decades for scientific research and engineering computing. In environmental engineering, researchers and engineers have successfully employed different methods of soft computing for modeling of various real-life environmental problems. In this study, applications of core soft computing techniques, such as artificial neural networks (ANN), fuzzy logic (FL), adaptive neuro fuzzy inference systems (ANFIS), and support vector machines (SVM), are investigated and important mathematical aspects of these methods are highlighted. Considering the concepts and methods, this study briefly reviews applications of soft computing techniques in the field of environmental engineering, especially in water/wastewater treatment and air quality/pollution control/forecasting. A brief introduction to complexity of environmental problems and the general definition soft computing concept are presented in the first section of this chapter. The second section comprises four subsections and presents mathematical background of four different soft computing methods. Section “Implementation of Soft Computing Methods in Environmental Engineering”, which is consisted of eight subsections, reviews successful applications of soft computing-based prediction models implemented in the field of environmental engineering and summarizes the important findings obtained in these studies. At the end of the overview of the published works on soft computing applications in different environmental areas, in the last section, some special illustrative soft computing examples and the respective MATLAB®-based solutions are presented for environmental engineers.

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Authors and Affiliations

  1. Department of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Istanbul, Esenler, Turkey

    Kaan Yetilmezsoy

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  1. Kaan Yetilmezsoy
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Correspondence to Kaan Yetilmezsoy .

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  1. Dept. of Chemistry and EVSC, New Jersey InstTech, 151 D Tiernan-NJIT Dept. of Chemistry and EVSC, Newark, New Jersey, USA

    Chaudhery Mustansar Hussain

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  1. Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Newark, NJ, USA

    Chaudhery Mustansar Hussain Ph. D

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Yetilmezsoy, K. (2018). Applications of Soft Computing Methods in Environmental Engineering. In: Hussain, C. (eds) Handbook of Environmental Materials Management. Springer, Cham. https://doi.org/10.1007/978-3-319-58538-3_149-1

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  • DOI: https://doi.org/10.1007/978-3-319-58538-3_149-1

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  • Print ISBN: 978-3-319-58538-3

  • Online ISBN: 978-3-319-58538-3

  • eBook Packages: Springer Reference Chemistry and Mat. ScienceReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics

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