Effect of Monsoonal Clustering for PM 10 Concentration Prediction in Keningau, Sabah using Principal Component Analysis
Particulate matter (PM) has caught scientific attention in scientific research due to its harmful effect on human health. While prediction is essential for future development in Keningau, temporal clustering in Keningau has yet to be studied. Thus, this research aims to determine whether monsoonal clustering is required for meteorological and pollutant concentration data collected in Keningau. Missing data is first imputed using Nearest Neighbour Method (NNM). Then, wind direction and wind speed are converted into northern ( W y ) and eastern ( W x ) component of wind speed. Data is then tempo... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | IOP Conference Series: Earth and Environmental Science ; volume 1103, issue 1, page 012003 ; ISSN 1755-1307 1755-1315 |
Verlag/Hrsg.: |
IOP Publishing
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Schlagwörter: | General Medicine |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-27276304 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://dx.doi.org/10.1088/1755-1315/1103/1/012003 |