Cite Article

The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)

Choose citation format

BibTeX

@article{IJASEIT13218,
   author = {Bangun Muljo Sukojo and Hepi Hapsari Handayani and Ardia Tiara Rahmi and - Istiqomah and Rizki Hari Kurniawan},
   title = {The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {5},
   year = {2021},
   pages = {1861--1867},
   keywords = {Aerosol; AOD; MODIS; rainfall; Surabaya; SARA.},
   abstract = {
Aerosols are particles suspended in the atmosphere that can affect human’s health, air quality, and climate. In monitoring the decrease in air quality due to aerosol distribution, it can be performed by calculating the thickness of the aerosol distribution. SARA (Simplified High-Resolution MODIS Aerosol Retrieval Algorithm) is the algorithm to calculate the distribution of AOD (Aerosol Optical Depth) values in Surabaya city using MODIS imagery. The distribution of AOD is calculated by considering the meteorological and land use aspects. The validation process is performed using ground-based measurements, i.e., the SPM and aerosol products at MODIS Level 2. The results of the AOD distribution vary in each month during 2017. The highest value of 1.794 µm occurred in May with a 7.0 mm/day rainfall in Dukuhpakis District. In comparison, the lowest AOD value of 0.494 µm occurred in January, with rainfall of 21.0 mm/day in Benowo District. The accuracy test result shows that the city of Surabaya is in the high category by reaching the value of 86%. While the accuracy-test with SPM data has a moderate level of correlation, giving the value of 42% with an RMSE value of 0.077 µm. The distribution of AOD is strongly influenced by the rainy season, proven by the correlation value between AOD and rainfall data reaching ~ 0.545. The correlation value between AOD and others meteorological and land use aspects is reaching ~ 0.391 for wind aspect and ~ 0.190 for land use. 
},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13218},
   doi = {10.18517/ijaseit.11.5.13218}
}

EndNote

%A Sukojo, Bangun Muljo
%A Handayani, Hepi Hapsari
%A Rahmi, Ardia Tiara
%A Istiqomah, -
%A Kurniawan, Rizki Hari
%D 2021
%T The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)
%B 2021
%9 Aerosol; AOD; MODIS; rainfall; Surabaya; SARA.
%! The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)
%K Aerosol; AOD; MODIS; rainfall; Surabaya; SARA.
%X 
Aerosols are particles suspended in the atmosphere that can affect human’s health, air quality, and climate. In monitoring the decrease in air quality due to aerosol distribution, it can be performed by calculating the thickness of the aerosol distribution. SARA (Simplified High-Resolution MODIS Aerosol Retrieval Algorithm) is the algorithm to calculate the distribution of AOD (Aerosol Optical Depth) values in Surabaya city using MODIS imagery. The distribution of AOD is calculated by considering the meteorological and land use aspects. The validation process is performed using ground-based measurements, i.e., the SPM and aerosol products at MODIS Level 2. The results of the AOD distribution vary in each month during 2017. The highest value of 1.794 µm occurred in May with a 7.0 mm/day rainfall in Dukuhpakis District. In comparison, the lowest AOD value of 0.494 µm occurred in January, with rainfall of 21.0 mm/day in Benowo District. The accuracy test result shows that the city of Surabaya is in the high category by reaching the value of 86%. While the accuracy-test with SPM data has a moderate level of correlation, giving the value of 42% with an RMSE value of 0.077 µm. The distribution of AOD is strongly influenced by the rainy season, proven by the correlation value between AOD and rainfall data reaching ~ 0.545. The correlation value between AOD and others meteorological and land use aspects is reaching ~ 0.391 for wind aspect and ~ 0.190 for land use. 

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13218
%R doi:10.18517/ijaseit.11.5.13218
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 5
%@ 2088-5334

IEEE

Bangun Muljo Sukojo,Hepi Hapsari Handayani,Ardia Tiara Rahmi,- Istiqomah and Rizki Hari Kurniawan,"The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 5, pp. 1861-1867, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.5.13218.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Sukojo, Bangun Muljo
AU  - Handayani, Hepi Hapsari
AU  - Rahmi, Ardia Tiara
AU  - Istiqomah, -
AU  - Kurniawan, Rizki Hari
PY  - 2021
TI  - The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 5
Y2  - 2021
SP  - 1861
EP  - 1867
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Aerosol; AOD; MODIS; rainfall; Surabaya; SARA.
N2  - 
Aerosols are particles suspended in the atmosphere that can affect human’s health, air quality, and climate. In monitoring the decrease in air quality due to aerosol distribution, it can be performed by calculating the thickness of the aerosol distribution. SARA (Simplified High-Resolution MODIS Aerosol Retrieval Algorithm) is the algorithm to calculate the distribution of AOD (Aerosol Optical Depth) values in Surabaya city using MODIS imagery. The distribution of AOD is calculated by considering the meteorological and land use aspects. The validation process is performed using ground-based measurements, i.e., the SPM and aerosol products at MODIS Level 2. The results of the AOD distribution vary in each month during 2017. The highest value of 1.794 µm occurred in May with a 7.0 mm/day rainfall in Dukuhpakis District. In comparison, the lowest AOD value of 0.494 µm occurred in January, with rainfall of 21.0 mm/day in Benowo District. The accuracy test result shows that the city of Surabaya is in the high category by reaching the value of 86%. While the accuracy-test with SPM data has a moderate level of correlation, giving the value of 42% with an RMSE value of 0.077 µm. The distribution of AOD is strongly influenced by the rainy season, proven by the correlation value between AOD and rainfall data reaching ~ 0.545. The correlation value between AOD and others meteorological and land use aspects is reaching ~ 0.391 for wind aspect and ~ 0.190 for land use. 

UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13218
DO  - 10.18517/ijaseit.11.5.13218

RefWorks

RT Journal Article
ID 13218
A1 Sukojo, Bangun Muljo
A1 Handayani, Hepi Hapsari
A1 Rahmi, Ardia Tiara
A1 Istiqomah, -
A1 Kurniawan, Rizki Hari
T1 The Analysis of Aerosol Distribution Using Modis AOD (Aerosol Optical Depth) With SARA (Simplified High Resolution Modis Retrieval Algorithm) for Air Quality Monitoring On 2017 (Study Case: Surabaya City, Indonesia)
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 5
YR 2021
SP 1861
OP 1867
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Aerosol; AOD; MODIS; rainfall; Surabaya; SARA.
AB 
Aerosols are particles suspended in the atmosphere that can affect human’s health, air quality, and climate. In monitoring the decrease in air quality due to aerosol distribution, it can be performed by calculating the thickness of the aerosol distribution. SARA (Simplified High-Resolution MODIS Aerosol Retrieval Algorithm) is the algorithm to calculate the distribution of AOD (Aerosol Optical Depth) values in Surabaya city using MODIS imagery. The distribution of AOD is calculated by considering the meteorological and land use aspects. The validation process is performed using ground-based measurements, i.e., the SPM and aerosol products at MODIS Level 2. The results of the AOD distribution vary in each month during 2017. The highest value of 1.794 µm occurred in May with a 7.0 mm/day rainfall in Dukuhpakis District. In comparison, the lowest AOD value of 0.494 µm occurred in January, with rainfall of 21.0 mm/day in Benowo District. The accuracy test result shows that the city of Surabaya is in the high category by reaching the value of 86%. While the accuracy-test with SPM data has a moderate level of correlation, giving the value of 42% with an RMSE value of 0.077 µm. The distribution of AOD is strongly influenced by the rainy season, proven by the correlation value between AOD and rainfall data reaching ~ 0.545. The correlation value between AOD and others meteorological and land use aspects is reaching ~ 0.391 for wind aspect and ~ 0.190 for land use. 

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13218
DO  - 10.18517/ijaseit.11.5.13218