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Wavelet-ANN Model for Nutrient Load Predictions in Rivers

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

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Abstract

Rise in nutrients concentrations have been a persistent problem in streams and rivers throughout the world. Estimates of nutrient fluxes are necessity as well as challenges for water quality management. The observation of nutrient loads (of nitrogen and/or phosphorous) from watershed into river or stream system is not straight forward but complex function of hydrology, geology, and land use of the region. There are statistical approaches to predict the nutrients loads in rivers. Development of models based on temporal observations may improve understanding the underlying hydrological processes complex phenomena of nutrient concentrations in river. Present work utilized temporal patterns extracted from temporal observations of monthly flow data and nitrogen loads using wavelet theory. These patterns are then utilized by an artificial neural network (ANN). The wavelet-ANN conjunction model is then able to predict the monthly nutrient load.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004, India

    Raj Mohan Singh

Authors
  1. Raj Mohan Singh
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, 110016, Delhi, India

    Bijaya Ketan Panigrahi

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Block N4, 2b-39, Nanyang Avenue, 639798, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  4. Department of Electronics and Telecom. Engineering, Institute of Technical Education & Research, Siksha ’O’ Anusandhan University, 751030, Bhubaneswar, Odisha, India

    Pradipta Kumar Nanda

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© 2012 Springer-Verlag Berlin Heidelberg

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Singh, R.M. (2012). Wavelet-ANN Model for Nutrient Load Predictions in Rivers. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_65

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  • DOI: https://doi.org/10.1007/978-3-642-35380-2_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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