PM2.5 Concentration Estimation Based on Image Processing Schemes and Simple Linear Regression

Abstract

Fine aerosols with a diameter of less than 2.5 microns (PM2.5) have a significant negative impact on human health. However, their measurement devices or instruments are usually expensive and complicated operations are required, so a simple and effective way for measuring the PM2.5 concentration is needed. To relieve this problem, this paper attempts to provide an easy alternative approach to PM2.5 concentration estimation. The proposed approach is based on image processing schemes and a simple linear regression model. It uses images with a high and low PM2.5 concentration to obtain the difference between these images. The difference is applied to find the region with the greatest impact. The approach is described in two stages. First, a series of image processing schemes are employed to automatically select the region of interest (RoI) for PM2.5 concentration estimation. Through the selected RoI, a single feature is obtained. Second, by employing the single feature, a simple linear regression model is used and applied to PM2.5 concentration estimation. The proposed approach is verified by the real-world open data released by Taiwan’s government. The proposed scheme is not expected to replace component analysis using physical or chemical techniques. We have tried to provide a cheaper and easier way to conduct PM2.5 estimation with an acceptable performance more efficiently. To achieve this, further work will be conducted and is summarized at the end of this paper.

Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

“…To sum up, out of 51 national open data portals, 40 OGD portals provide open data related to COVID-19, 32 portals provide real-time data and 29 provide sensor data. This means that while many countries are trying to follow the latest trends and provide data that could be important for their users in transforming into innovative solutions and services that create added value for both the economy and the society, including moving towards the Smart City and the Smart Society, some countries have not yet opened these data.…”

“…Another study on this topic is [ 40 ], which provides a simple approach to the cheaper estimation of PM2.5 concentration. The proposed approach is based on image processing schemes and a simple linear regression model, using high and low PM2.5 concentration images to obtain the difference between them, which is then used to find the regions with the greatest impact.…”

Using High-Frequency Information and RH to Estimate AQI Based on SVR

“…This is the main reason for using high-frequency variation changes to obtain the RoI. A flow chart of the automatic selection of RoI is shown in Figure 2 [27]. To find the difference between high and low visibility images, two images with different PM 2.5 concentrations (high and low) were treated as a group.…”

“…In order to solve the method of manually selecting RoI, the method of automatic selected RoI was proposed [ 27 ]. Two images of high and low PM 2.5 concentrations were put into a group.…”

Selected Papers from the First International Symposium on Future ICT (Future-ICT 2019) in Conjunction with the 4th International Symposium on Mobile Internet Security (MobiSec 2019)

“…The authors of [ 3 ] advance a simplistic option for determining the fine aerosols with a diameter of less than 2.5 microns ( ) concentration, in which a set of image processing schemes and simple linear regression are applied. The suggested approach practices images with a high and low concentration to differentiate these images.…”