
Real Time Air Quality Monitoring System in Three Sites (Bogor, Cibeureum and Serpong)
Author(s) -
Gito Immanuel,
Adi Rakhman,
Bregas Budianto,
Rizaldi Boer,
Muhammad Ardiansyah,
Nur Amisha Nadia Abdul Hamid,
l Gumilang,
Masahide Nishihashi,
Hiroyuki Mukai,
Yukio Terao,
Shigeru Hashimoto,
Yumi Osonoi,
Rudi Nugroho,
Nawa Suwedi,
A Rifai,
I M Ihsan,
Albertus Sulaiman,
Dodo Gunawan,
Eka Suharguniyawan,
Muharam Syam Nugraha,
Ronald Christian Wattimena
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/303/1/012055
Subject(s) - air quality index , air monitoring , environmental science , greenhouse gas , meteorology , index (typography) , database , nitrogen dioxide , environmental engineering , geography , computer science , world wide web , ecology , biology
Center for Climate Risk and Opportunity Management of Bogor Agricultural University in collaboration with National Institute for Environmental Studies-Japan developed an on-line system to monitor real time air quality and greenhouse gases for three sites surrounding Jakarta area, i.e. Bogor (Center of Bogor city), Serpong (Jakarta suburb) and Cibeureum (mountainous area, background-like site). The system uses standards air-quality monitoring equipped with an array of gaseous and meteorological sensors. The system records data every minute and stores in local storage and sent automatically to a Dropbox every 6 hours. The data in the Dropbox is accessed using API and being processed and analysed using several modules to be converted into useful information and presented in a website. The website will display real time air quality for ozone (O 3 ) and particulate matters (PM 2.5 and PM 10 ) and greenhouse gas data (CO 2 , CH 4 ), Carbon monoxide (CO) Nitrogen Oxide (NO x ), and Sulfur Dioxide (SO 2 ), in the past 30-day including local weather data for the past 7 days. These data are then converted into an index indicating the status of the quality of the air surrounding the stations. The index is divided into five categories based on EPA air quality standard, namely good, moderate, unhealthy for sensitive group, unhealthy and very unhealthy. The system can provide the status of air quality index on a six hours basis and easy to be accessed by any stakeholder. The system allows local authorities, communities and industries to easily access and use the information for air quality management purposes and early warning.