Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia
dc.contributor.author | Nurul Amalin Fatihah Kamarul Zaman | |
dc.contributor.author | Kasturi Devi Kanniah | |
dc.contributor.author | Dimitris G. Kaskaoutis | |
dc.coverage.publication | Malaysia | |
dc.date.accessioned | 2024-05-10T03:25:37Z | |
dc.date.available | 2024-05-10T03:25:37Z | |
dc.date.issued | 2017 | |
dc.description.abstract | The insufficient number of ground-based stations for measuring Particulate Matter < 10 μm (PM10) in the developing countries hinders PM10 monitoring at a regional scale. The present study aims to develop empirical models for PM10 estimation from space over Malaysia using aerosol optical depth (AOD550) and meteorological (surface temperature, relative humidity and atmospheric stability) data (retrieved or estimated) from Moderate Resolution Imaging Spectroradiometer (MODIS) during the period 2007-2011. | |
dc.identifier.citation | Zaman, N. A. F. K., Kanniah, K. D., & Kaskaoutis, D. G. (2017). Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia. Atmospheric Research, 193, 142-162. | |
dc.identifier.uri | https://repoemc.ukm.my/handle/123456789/590 | |
dc.language | en | |
dc.publisher | Elsevier | |
dc.publisher.alternative | Atmospheric Research | |
dc.subject | PM10 | |
dc.subject | satellite remote sensing | |
dc.subject | Artificial Neural Network | |
dc.subject | Multiple Linear Regressions | |
dc.subject | meteorology | |
dc.subject | Malaysia | |
dc.title | Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia | |
dc.type | Journal |
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