APPLICATION OF LOW-COST PM SENSOR FOR MOBILE MONITORING SYSTEM

• Main Author: Adrian, Martin
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/54975
• Institution: Institut Teknologi Bandung

Air pollution in cities can have a particularly bad impact on human health. Several types of respiratory diseases can be caused by air pollution. One of the substances that causes air pollution is particulate matter (PM). PM is a substance that is small and suspended in free air. Air quality monitoring is needed to determine the concentration of PM in the ambient air. The limited number of air monitoring stations in Indonesia cannot describe the air quality in large areas well. In this study, a mobile monitoring system will be developed using a low-cost sensor to measure the concentration of PM2.5. HPMA sensors are used to measure the concentration of PM in the device. The sensor is tested with a decay test to determine the coefficient of variation (CV) value of the sensor. The HPMA sensor has a CV of 1.68% which is below the 10% limit recommended by the EPA. The measurement results from the tool can be seen directly through a website. Measurements were made in residential areas that are close to a highway and a toll gate. Measurements are taken in the morning and evening, especially during the commuting hours. Based on statistical results, the concentration of PM on roads is higher than in residential areas. Highway areas located by toll gates have a higher PM2.5 concentration than the surrounding areas. Many diesel-fueled trucks pass through the toll gate area so that it can be one of the main causes of the high concentration of PM around toll roads. The meteorological factors which relatively did not vary during measurement had a moderate effect on the PM concentration being measured. The variation in the environment is related to the sources of pollution in the environmental area. Sources of pollution on roads are especially vehicles, instead, sources of pollution in residential areas, one of which is food stalls on the side of the road. Variations in vehicle speed affect PM sensor readings due to changes in the flow rate into the sensor. High spatial data resolution is obtained at low speed. Speeds of 20-30 km / h can be used to get good spatial data resolution in less time. The statistical results from the measurements were used to perform a simulation to estimate the exposure dose that was accepted by the community. Children tend to be more susceptible to being exposed to higher doses of PM2.5. Measurement data that can be seen directly can help the community to wear the necessary equipment such as masks to reduce the risk of being exposed to PM2.5.