| dc.description.abstract |
In recent years, people pay more and more attention to air pollution, which is particularly enthusiastic discussion of particles matter (PM). PM spread everywhere in our daily life. Sea salt, exhaust gas emissions from industries, vehicle emissions and raised dust, are the main reasons of the formation of PM. PM has high environmental variability. It is far less enough to rely on the government set up by the environmental monitoring network. Because of the limitation of the expensive costs of the instruments and the difficulties of the setting of the stations, reducing the size and cost of the instrument is the main purpose to improve the observation density. There are many PM sensors with low-cost portability, but most PM sensors are calibrated indoor. This time we will test the feasibility of low-cost sensors in outdoor observation.
This work mainly uses Shinyei PPD42NS use with Arduino Uno microcontroller board for PM observation. PPD42NS is PM sensor based on light scattering, the sensor installation location at the National Central University of the Science Building#2, the observation time is 2016/03/23 to 2017/03/06 for 349 days. In this work, the correlation analysis was using the real-time data of the EPA Zhongli and Pingzhen station, and the meteorological data of the NCU station. We will be divided into four for the temperature, relative humidity, wind direction, rainfall to discuss. The results show that the temperature change has no significant effect. The relative humidity has a great influence. In high relative humidity (RH> 95%), the sensor will output abnormally. Rainfall will cause the sensor to malfunction. When the east or north wind occurred, lower value appeared for the shelter of the building. | en_US |