Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite
Thailand, especially in the northern region, often encounters the problem of having PM10 exceeding the normal standard level, which could do harm to people’s health. Mostly, such problem is caused by the burning of forest area and open area; this is clearly seen during January–April of every year. A...
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| Format: | Article |
| Language: | English |
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Warsaw University of Life Sciences
2021-07-01
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| Series: | Przegląd Naukowy Inżynieria i Kształtowanie Środowiska |
| Subjects: | |
| Online Access: |
http://iks.pn.sggw.pl/PN92/A2/art2.pdf
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| author | Winai Suriya Poramate Chunpang Teerawong Laosuwan |
| author_facet | Winai Suriya Poramate Chunpang Teerawong Laosuwan |
| author_sort | Winai Suriya |
| collection | DOAJ |
| description | Thailand, especially in the northern region, often encounters the problem of having PM10 exceeding the normal standard level, which could do harm to people’s health. Mostly, such problem is caused by the burning of forest area and open area; this is clearly seen during January–April of every year. Also, the problem as mentioned is caused by the meteorological conditions and the terrains in the northern region that make it easy for PM10 to be accumulated. The aim of this study was to analyze the patterns of relationship between PM10 measured from the ground monitoring station and AOT data received from MODIS sensor onboard of Terra satellite in Phrae Province located in the northern region of Thailand. The method performed was by analyzing the correlation between PM10 data obtained from the ground monitoring station and the AOT data received from the MODIS sensor onboard of Terra satellite during January–April 2018. It was found from the study that the change of the intensity of PM10 and AOT in the climate was highly related; it appeared that the correlation coefficient (r) in January–April was 0.92, 0.91, 0.91 and 0.92, respectively. This research pointed out that during February– –April, the areas of Phrae Province had the level of PM10 that affected health. Besides, from the method in this research, it revealed AOT data received from MODIS sensor onboard of Terra satellite could be applied in order to follow up, monitor, and notify the spatial changes of PM10 efficiently. |
| first_indexed | 2024-04-11T16:16:12Z |
| format | Article |
| id | doaj.art-19145f95418944d5bb935d8540cfa789 |
| institution | Directory Open Access Journal |
| issn | 1732-9353 2543-7496 |
| language | English |
| last_indexed | 2024-04-11T16:16:12Z |
| publishDate | 2021-07-01 |
| publisher | Warsaw University of Life Sciences |
| record_format | Article |
| series | Przegląd Naukowy Inżynieria i Kształtowanie Środowiska |
| spelling | doaj.art-19145f95418944d5bb935d8540cfa7892022-12-22T04:14:30ZengWarsaw University of Life SciencesPrzegląd Naukowy Inżynieria i Kształtowanie Środowiska1732-93532543-74962021-07-0130223624910.22630/PNIKS.2021.30.2.20Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satelliteWinai Suriya0Poramate Chunpang1Teerawong Laosuwan2 Mahasarakham University, Faculty Science Mahasarakham University, Faculty Science Mahasarakham University, Faculty Science Thailand, especially in the northern region, often encounters the problem of having PM10 exceeding the normal standard level, which could do harm to people’s health. Mostly, such problem is caused by the burning of forest area and open area; this is clearly seen during January–April of every year. Also, the problem as mentioned is caused by the meteorological conditions and the terrains in the northern region that make it easy for PM10 to be accumulated. The aim of this study was to analyze the patterns of relationship between PM10 measured from the ground monitoring station and AOT data received from MODIS sensor onboard of Terra satellite in Phrae Province located in the northern region of Thailand. The method performed was by analyzing the correlation between PM10 data obtained from the ground monitoring station and the AOT data received from the MODIS sensor onboard of Terra satellite during January–April 2018. It was found from the study that the change of the intensity of PM10 and AOT in the climate was highly related; it appeared that the correlation coefficient (r) in January–April was 0.92, 0.91, 0.91 and 0.92, respectively. This research pointed out that during February– –April, the areas of Phrae Province had the level of PM10 that affected health. Besides, from the method in this research, it revealed AOT data received from MODIS sensor onboard of Terra satellite could be applied in order to follow up, monitor, and notify the spatial changes of PM10 efficiently. http://iks.pn.sggw.pl/PN92/A2/art2.pdf remote sensingmodis sensorpm10aerosol optical thickness (aot)air quality index (aqi) |
| spellingShingle | Winai Suriya Poramate Chunpang Teerawong Laosuwan Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite Przegląd Naukowy Inżynieria i Kształtowanie Środowiska remote sensing modis sensor pm10 aerosol optical thickness (aot) air quality index (aqi) |
| title | Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite |
| title_full | Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite |
| title_fullStr | Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite |
| title_full_unstemmed | Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite |
| title_short | Patterns of relationship between PM10 from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite |
| title_sort | patterns of relationship between pm10 from air monitoring quality station and aot data from modis sensor onboard of terra satellite |
| topic | remote sensing modis sensor pm10 aerosol optical thickness (aot) air quality index (aqi) |
| url |
http://iks.pn.sggw.pl/PN92/A2/art2.pdf
|
| work_keys_str_mv | AT winaisuriya patternsofrelationshipbetweenpm10fromairmonitoringqualitystationandaotdatafrommodissensoronboardofterrasatellite AT poramatechunpang patternsofrelationshipbetweenpm10fromairmonitoringqualitystationandaotdatafrommodissensoronboardofterrasatellite AT teerawonglaosuwan patternsofrelationshipbetweenpm10fromairmonitoringqualitystationandaotdatafrommodissensoronboardofterrasatellite |