Publication:
Applying genetic algorithm and fourier series to WQI of Tha Chin river in Thailand

dc.contributor.authorSomkid Amornsamankulen_US
dc.contributor.authorBusayamas Pimpunchaten_US
dc.contributor.authorSartja Duangchai-Yoosooken_US
dc.contributor.authorWannapong Triampoen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherKing Mongkut's Institute of Technology Ladkrabangen_US
dc.date.accessioned2018-06-11T04:44:55Z
dc.date.available2018-06-11T04:44:55Z
dc.date.issued2012-12-01en_US
dc.description.abstractWater pollution is the main problem that effects on the community in Thailand. The Pollution Control Department in Thailand has indexed the water quality using eight parameters. In this paper, the main propose is to reduce eight parameters of water quality index(WQI) to four parameters which are dissolved oxygen (DO), total solid (TS), biological oxygen demand (BOD), and suspended solid (SS). The factor analysis, correlation analysis and fourier series are used to simulate the data. The data obtained from Tha Chin river during 2002 - 2007 is used in this model. The genetic algorithm is applied to find the weight of each parameter. The result shows that the modified WQI using four parameters provides the same result obtained from the model using eight parameters.en_US
dc.identifier.citationInternational Journal of Mathematics and Computers in Simulation. Vol.6, No.3 (2012), 333-340en_US
dc.identifier.issn19980159en_US
dc.identifier.other2-s2.0-84875760038en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/14019
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875760038&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleApplying genetic algorithm and fourier series to WQI of Tha Chin river in Thailanden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875760038&origin=inwarden_US

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