IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 7: Hydroinformatics : Application of lssvm in estimating the metabolism rate for a river restoration study
Application of lssvm in estimating the metabolism rate for a river restoration study
Author : Wei Huang Shinichiro Yano and Jianmin Zhang
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.
File Size : 308,132 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 7: Hydroinformatics
Date Published : 01/07/2011
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