Application of LSSVM in estimating the metabolism rate for a river restoration study

Wei Huang, Shinichiro Yano, Jianmin Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we employ the least square support vector machine (LSSVM) to study the river metabolism, which is one of the most integrative ecosystem functions, highly sensitive to many anthropogenic and natural stressors and thereby often used to assess the impairment or health state of river ecosystem. With the data from the continual field measurement, the discharge, travel time of water mass, dissolved oxygen concentration and water temperature are selected as the main variables for LSSVM. From the results, it can be found that the LSSVM can be used successfully in predicting the metabolism rate. Moreover, compared to other artificial intelligence tools like back propagation artificial neural networks (BP_ANN), it seems that LSSVM can perform better with higher accuracy and shorter time computation. Thus, it may be considered as an alternative method to estimate the metabolism rate and to assess the river ecosystem health in river study.

Original languageEnglish
Title of host publication34th IAHR Congress 2011 - Balance and Uncertainty
Subtitle of host publicationWater in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering
PublisherInternational Association for Hydro-Environment Engineering and Research (IAHR)
Pages4376-4383
Number of pages8
ISBN (Electronic)9780858258686
Publication statusPublished - 2011
Event34th IAHR Congress 2011 - Balance and Uncertainty: Water in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering - Brisbane, Australia
Duration: Jun 26 2011Jul 1 2011

Publication series

Name34th IAHR Congress 2011 - Balance and Uncertainty: Water in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering

Conference

Conference34th IAHR Congress 2011 - Balance and Uncertainty: Water in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering
CountryAustralia
CityBrisbane
Period6/26/117/1/11

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Water Science and Technology
  • Environmental Science (miscellaneous)

Fingerprint Dive into the research topics of 'Application of LSSVM in estimating the metabolism rate for a river restoration study'. Together they form a unique fingerprint.

  • Cite this

    Huang, W., Yano, S., & Zhang, J. (2011). Application of LSSVM in estimating the metabolism rate for a river restoration study. In 34th IAHR Congress 2011 - Balance and Uncertainty: Water in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering (pp. 4376-4383). (34th IAHR Congress 2011 - Balance and Uncertainty: Water in a Changing World, Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering). International Association for Hydro-Environment Engineering and Research (IAHR).