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PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.

Remote sensing has been increasingly used in retrieval Aerosol optical thickness (AOT) to particulate matter pollution monitoring. In this study, Moderate resolution image Spectroradiometer (MODIS) data were utilized in particulate matter pollution monitoring. Daily aerosol optical thickness (AOT) d...

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Main Authors: Amanollahi, Jamil, Abdullah, Ahmad Makmom, Saeid, Pirasteh, Ramli, Mohammad Firuz, Rashidi, Parinaz
Format: Article
Language:English
Published: International Congress of Chemistry and Environment 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23549/1/PM10%20monitoring%20using%20MODIS%20AOT%20and%20GIS.pdf
http://psasir.upm.edu.my/id/eprint/23549/
http://www.environment.uwaterloo.ca/research/rsgtl/publications/Saied_Publications/21.pdf
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spelling my.upm.eprints.235492016-02-05T04:26:10Z http://psasir.upm.edu.my/id/eprint/23549/ PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia. Amanollahi, Jamil Abdullah, Ahmad Makmom Saeid, Pirasteh Ramli, Mohammad Firuz Rashidi, Parinaz Remote sensing has been increasingly used in retrieval Aerosol optical thickness (AOT) to particulate matter pollution monitoring. In this study, Moderate resolution image Spectroradiometer (MODIS) data were utilized in particulate matter pollution monitoring. Daily aerosol optical thickness (AOT) data retrieved from MODIS using Non-Linear Correlation Coefficient (NLCC) with polynomial equation Were compared with the amount of particulate matter PMIO measured at Three ground Air Quality Monitoring Stations (AQMS)-Victoria Kl, Cheras Kl and Gombak- in Kuala lumpur and surrounding area. The PMIO data were imported in geographical information system (GIS) environment to derive the PMIO maps in Kuala Lumpur stations. Results showed that the amounts of PMIO in dry season are higher than those in rainy season in stations. The NLCC between MODIS AOT and PMIO concentration was obtained higher in Victoria Kl compared to Gombak and Cheras Kl. GIS maps were found to show better distribution of PMIO compared to the ground station data. This study reveals AOT data from MODIS and GIS map can be utilized to study the air quality, especially distribution of PMIO in the places where there are ground measurements. International Congress of Chemistry and Environment 2011-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23549/1/PM10%20monitoring%20using%20MODIS%20AOT%20and%20GIS.pdf Amanollahi, Jamil and Abdullah, Ahmad Makmom and Saeid, Pirasteh and Ramli, Mohammad Firuz and Rashidi, Parinaz (2011) PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia. Research Journal of Chemistry and Environment, 15 (2). pp. 982-985. ISSN 0972-0626 http://www.environment.uwaterloo.ca/research/rsgtl/publications/Saied_Publications/21.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Remote sensing has been increasingly used in retrieval Aerosol optical thickness (AOT) to particulate matter pollution monitoring. In this study, Moderate resolution image Spectroradiometer (MODIS) data were utilized in particulate matter pollution monitoring. Daily aerosol optical thickness (AOT) data retrieved from MODIS using Non-Linear Correlation Coefficient (NLCC) with polynomial equation Were compared with the amount of particulate matter PMIO measured at Three ground Air Quality Monitoring Stations (AQMS)-Victoria Kl, Cheras Kl and Gombak- in Kuala lumpur and surrounding area. The PMIO data were imported in geographical information system (GIS) environment to derive the PMIO maps in Kuala Lumpur stations. Results showed that the amounts of PMIO in dry season are higher than those in rainy season in stations. The NLCC between MODIS AOT and PMIO concentration was obtained higher in Victoria Kl compared to Gombak and Cheras Kl. GIS maps were found to show better distribution of PMIO compared to the ground station data. This study reveals AOT data from MODIS and GIS map can be utilized to study the air quality, especially distribution of PMIO in the places where there are ground measurements.
format Article
author Amanollahi, Jamil
Abdullah, Ahmad Makmom
Saeid, Pirasteh
Ramli, Mohammad Firuz
Rashidi, Parinaz
spellingShingle Amanollahi, Jamil
Abdullah, Ahmad Makmom
Saeid, Pirasteh
Ramli, Mohammad Firuz
Rashidi, Parinaz
PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
author_facet Amanollahi, Jamil
Abdullah, Ahmad Makmom
Saeid, Pirasteh
Ramli, Mohammad Firuz
Rashidi, Parinaz
author_sort Amanollahi, Jamil
title PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
title_short PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
title_full PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
title_fullStr PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
title_full_unstemmed PM10 monitoring using MODIS AOT and GIS, Kuala Lumpur, Malaysia.
title_sort pm10 monitoring using modis aot and gis, kuala lumpur, malaysia.
publisher International Congress of Chemistry and Environment
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23549/1/PM10%20monitoring%20using%20MODIS%20AOT%20and%20GIS.pdf
http://psasir.upm.edu.my/id/eprint/23549/
http://www.environment.uwaterloo.ca/research/rsgtl/publications/Saied_Publications/21.pdf
_version_ 1643828091809693696
score 13.211869

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