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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Managing Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
Editor-in-chief
IJET 2014 Vol.6(2): 136-140 ISSN: 1793-8236
DOI: 10.7763/IJET.2014.V6.682

Development of an Efficient and Accurate Global Space-Time Radial Basis Collocation Model for Estimation of River Pollution Source

T. S. Li and S. M. Wong

Abstract—Pollution source estimation is an active research area nowadays. Researchers are trying to estimate the pollution source based on a set of data from monitoring sites. This kind of problems is known to be ill-posted and sensitive to computational errors. In this paper, we present a method using a space-time radial basis function to estimate the pollution source. To overcome the problem of ill-conditioning, we first use the data from the monitoring site to get a continuous approximation of the data. Then, we use this data together with the governing equation, and boundary conditions to set up an over-determined system of equations. The single value decomposition is used to get the least square solution. An example is used to illustrate the method. It is found that our method is effective and accurate in estimating the pollution source.

Index Terms—Pollution source estimation, radial basis functions, inversion problem

The authors are with the Open University of Hong Kong, 30 Good Shepherd Street, Hong Kong (e-mail: tsli@ouhk.edu.hk, anwong@ouhk.edu.hk).

[PDF]

Cite:T. S. Li and S. M. Wong, "Development of an Efficient and Accurate Global Space-Time Radial Basis Collocation Model for Estimation of River Pollution Source," International Journal of Engineering and Technology vol. 6, no. 2, pp. 136-140, 2014.

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