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dc.contributor.authorเอกณัฐ เพียรทำดีen_US
dc.contributor.authorสุขสวัสดี ณัฏฐวุฒิสิทธิ์en_US
dc.date.accessioned2020-02-25T07:44:39Z
dc.date.available2020-02-25T07:44:39Z
dc.date.issued2019
dc.identifier.urihttp://repository.rmutr.ac.th/123456789/1264
dc.description.abstractThe research objectives are to develop the predictive model with the indicators based on Thai national standard of air quality. The samples are dust particles smaller than 2.5 micron (PM 2.5) which is collected from 1 January 2018 – 31 December 2018. The case study is in the area of Bangkok metropolitan region to analyze amount of dust that can be appalled into the respiratory tract and cause hazard against lives. The research instrument consisted of (1) The predictive model of Thai air quality using data visualization, and (2) The performance evaluation form of predictive model. The findings are the predictive model can create insight data visualization of the dust density occurred over a different period of time. Moreover, some risk areas are indicated a high level of dust particles smaller than 2.5 micron that pollute over the control limit of Ministry of Natural Resources and Environment standard that consequently resulting in organism harm. The benefits of this research can support for dust protection planning for the livings in Thailand.en_US
dc.language.isoTHen_US
dc.publisherมหาวิทยาลัยศรีปทุมen_US
dc.subjectVisualizationen_US
dc.subjectNational Ambient Air Quality Standardsen_US
dc.subjectAir Quality Indexen_US
dc.titleData Predictive Model of Thai Air Quality Using Data Visualization Based on National Ambient Air Quality Standardsen_US
dc.title.alternativeตัวแบบการพยากรณ์ข้อมูลคุณภาพอากาศด้วยดาต้าวิชวลไลเซชั่นบนมาตรฐานแห่งชาติคุณภาพอากาศในบรรยากาศประเทศไทยen_US
dc.typeArticleen_US


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