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Conceptualizing the parallax of movement control orders (MCOs)to the spatial dispersion of PM10 |
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| รหัสดีโอไอ | |
| Creator | 1. Noraain Mohamed Saraf 2. Nursyahreen Aqilah Mohmad Rassid 3. Siti Aekbal Salleh 4. Nurul Amirah Isa 5. Ameerah Suโad Abdul Shakor 6. Muhammad Alfatih Pahrol |
| Title | Conceptualizing the parallax of movement control orders (MCOs)to the spatial dispersion of PM10 |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2022 |
| Journal Title | Songklanakarin Journal of Science an Technology (SJST) |
| Journal Vol. | 44 |
| Journal No. | 2 |
| Page no. | 534-541 |
| Keyword | PM10 concentration, MCO, Malaysia, remote sensing, GIS |
| URL Website | https://rdo.psu.ac.th/sjst/index.php |
| ISSN | 0125-3395 |
| Abstract | Due to the COVID-19 pandemic, many countries have implemented movement control orders (MCO). Globally,including in Malaysia, such bans have reduced pollution. Thus, this study used remote sensing to examine the particle dispersionand intensity of PM10. Unlike previous research, this technique used Landsat 8 Operational Land Imager (OLI) satellite images toestimate anthropogenic level changes within the study area. Eight models are used to estimate PM10 levels. The models work wellbecause they were developed and tested in India, which has a similar climate to Malaysia. Two models returned results thatmatched the study area's CAQMs station. Between 10th March 2020 and 26th March 2020 the CAQMS showed an average PM10concentration of 17-32 g/m3. The pixel based PM10 estimation is 30-35% off in g/m3. However, the percent reduction of PM10before and during MCO was within 2% of Model 5 and 7. Incorporating geospatial technology into baseline studies to assesscurrent air quality is clearly beneficial. Since the first MCO in March 2020, toxic pollution emissions have decreasedsignificantly. |
