PERFORMANCE EVALUATION OF LOW-COST SENSOR ALPHASENSE OPC N2 FOR PM10 MONITORING IN AMBIENT AIR IN INDONESIA
Particulates are one of the most damaging air quality pollutants and from several studies it was found that it associated with mortality rate, lung cancer, and vascular related diseases. Several studies showed developing countries in Asia and Africa are don’t have systems and capabilities in monitor...
Saved in:
Main Author: | |
---|---|
Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/46219 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Particulates are one of the most damaging air quality pollutants and from several studies it was found that it associated with mortality rate, lung cancer, and vascular related diseases. Several studies showed developing countries in Asia and Africa are don’t have systems and capabilities in monitoring air quality. This study focused on particulate parameters measurement by a cost-effective method using the principle of light scattering, namely Alphasense OPC-N2. OPC-N2 is an inexpensive optical particle counter (OPC) which is able to directly calculate particulate concentrations based on particle size. Outcome of the research is to give explanation how the cost-effective monitoring method can be reliable to represent the exposure of particulate pollutants in urban areas. Monitoring was carried out at 5 AQMS with reference method in purpose to validate PM10. Descriptive analysis from data obtained by OPC results that show that in each location the data are not normally distributed, have asymmetries and wide data distribution. Collocation validation shows indicative and equivalent method are able to follow the trend of the reference method with the average error value varying from 20-60% and the correlation coefficient is 0.11-0.78 for daily average data. Indicative method has a better trend when comparing daily average with an R2 of 14-40% for location those have significant slope. Study shows that the OPC-
N2 has poor performance in roadside and urban background sampling locations. |
---|