Spatial assessment on ambient air quality status: a case study in Klang, Selangor
| Autor: | N. Z. Shafii, M. Mahmud, Z. I. Rizman, Ahmad Shakir Mohd Saudi |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Pollutant
media_common.quotation_subject air quality correlation principal component analysis statistical process control Particulates Statistical process control Ambient air chemistry.chemical_compound chemistry Environmental health Environmental science Spatial variability Nitrogen dioxide Quality (business) Air quality index media_common |
| Zdroj: | Journal of Fundamental and Applied Sciences; Vol 9, No 4S (2017): Special Issue; 964-977 |
| ISSN: | 1112-9867 |
| Popis: | Klang as the center of economic and industrial zone in Malaysia has been exposed to poor air quality condition over the years. This study was conducted to evaluate the spatial variation pattern of air quality status in Klang, Selangor by using a four years (2010-2013) secondary database from the Malaysian Department of Environment (DOE). The finding shows that carbon monoxide (CO) had a strong correlation with nitrogen dioxide (NO2) (r = 0.76, p < 0.001), while Air Pollutant Index (API) had moderate correlation with particulate matter (PM10) (r = 0.64, p < 0.001). Principal Component Analysis (PCA) indicates that the most significant air pollutants were NO2, CO and PM10. Statistical Process Control (SPC) reveals that several PM10 data beyond the limitations of SPC and the national guidelines. This study shows that active collaboration among all relevant environmental departments and agencies should be implemented for the effective management of air quality.Keywords: air quality; correlation; principal component analysis; statistical process control. |
| Databáze: | OpenAIRE |
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