METHOD DEVELOPMENT FOR ESTIMATION OF PM10, PM2,5 PM1,0 ANNUAL AVERAGE CONCENTRATION FROM INCOMPLETE DATA MONITORING

• Main Author: Widyakusuma, Ajeng
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/54034
• Institution: Institut Teknologi Bandung

Air quality monitoring is one of the important factors in conducting air quality management. Particulates are one of the air pollutants that must be monitored because of the impacts on the environment and human health. Particulate concentrations are known to be influenced by seasons and their chronic impact is often associated with annual average concentrations. However, various technical and resource constrains often cause monitoring data to be unavailable for a full one year to represent annual average concentration. This study focused on developing statistical factors/models as part of UDARA project to estimate annual average concentrations. The estimates are then will be used to analyze long-term (annual) relationship of air pollutant exposure with chronic diseases in Jakarta to be conducted in a subsequent study. Particulate data is obtained from real-time measurement of particulate based on particle size counting of PM10, PM2,5 and PM1.0) with low-cost sensor of Alphasense OPC-N2 light scattering monitoring. In its implementation in the field, low-cost method application often experienced data loss so that data is not fully obtained continuously for the whole year. This condition potentially results in data that do not represent annual average value. The data used in this exercise was monitoring data in 2018 -2019 from automatic ambient air quality monitoring stations in 5 locations of DKI Jakarta AQMS (which was used as a reference method). The number of days of the year that have exposure data is determined based on data at 26 OPC monitoring points. A representative approach to the annual average is done by determining the ratio of the average PM10 concentration on the number of days at the AQMS station (based on OPC monitoring) which has data with complete data obtained from AQMS stations on the annual average concentration. The concentration ratio of PM2.5 and PM1.0 is obtained through its ratio to PM10 from OPC measurements, due to the unavailability of PM1.0 measurement data and the incompleteness of PM2.5 data at AQMS stations. Descriptive analysis of the concentration data of each particulate measure of OPC and AQMS in all locations showed that data is not distributed normally, has asymmetry and wide data distribution. Monthly data capture generally < 22 days (75%). The average annual ratio of PM10 incomplete to the full year data in DKI Jakarta based on selected methodology ranged between 0,99 -1,19; while the average annual ratio of PM2.5/PM10 was 0.75. The annual ratio of PM1.0 to PM2.5 was 0.81; and to PM10 was 0.67. The estimated range of annual average values resulted from the calculation for 26 monitoring sites in ?g/cm3 unit were 6.75 – 210.65 for PM1.0; 13.3 – 321.1 for PM2.5 and 22.2 – 441.6 for PM10. The results of the one-way particulate ANOVA test against the seasonal difference showed that H0 was rejected; indicates the significant influence of the season on particulate concentrations, i.e. concentration in the dry season tends to be higher than in the rainy season. The study also obtained more OPC and AQMS catch data in the dry season than the rainy season.