PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network.

Sci Rep

Department of Business Administration, Korea Polytechnic University, 237 Sangidaehak-ro, Siheung-si, 15073, Gyeonggi-do, Republic of Korea.

Published: June 2021

In this paper, we propose a real-time prediction model that can respond to particulate matters (PM) in the air, which are an indication of poor air quality. The model applies interpolation to air quality and weather data and then uses a Convolutional Neural Network (CNN) to predict PM concentrations. The interpolation transforms the irregular spatial data into an equally spaced grid, which the model requires. This combination creates the interpolated CNN (ICNN) model that we use to predict PM10 and PM2.5 concentrations. The PM10 and PM2.5 evaluation results show an effective prediction performance with an R-squared higher than 0.97 and a root mean square error (RMSE) of approximately 16% of the standard deviation. Furthermore, both PM10 and PM2.5 prediction models forecast high concentrations with high reliability, with a probability of detection higher than 0.90 and a critical success index exceeding 0.85. The proposed ICNN prediction model achieves a high prediction performance using spatio-temporal information and presents a new direction in the prediction field.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185114PMC
http://dx.doi.org/10.1038/s41598-021-91253-9DOI Listing

Publication Analysis

Top Keywords

pm10 pm25
16
real-time prediction
8
prediction models
8
convolutional neural
8
neural network
8
prediction model
8
air quality
8
prediction performance
8
prediction
7
model
5

Similar Publications

BACKGROUND Exposure to air pollution (AP) during pregnancy is associated with pre-labor rupture of membranes (PROM). However, there is limited research on this topic, and the sensitive exposure windows remain unclear. The present study assessed the association between AP exposure and the risk of PROM, as well as seeking to identify the sensitive time windows.

View Article and Find Full Text PDF

Role of air pollutants in dengue fever incidence: evidence from two southern cities in Taiwan.

Pathog Glob Health

September 2023

Center for Evidence-Based Health Care, Department of Medical Research, Taipei Medical University Shuang Ho Hospital, New Taipei, Taiwan.

Air pollution may be involved in spreading dengue fever (DF) besides rainfalls and warmer temperatures. While particulate matter (PM), especially those with diameter of 10 μm (PM10) or 2.5 μm or less (PM25), and NO2 increase the risk of coronavirus 2 infection, their roles in triggering DF remain unclear.

View Article and Find Full Text PDF

Previous studies have attempted to clarify the relationship between the occurrence of pulmonary tuberculosis (PTB) and exposure to air pollutants. However, evidence from multi-centres, particularly at the national level, is scarce, and no study has examined the modifying effect of greenness on air pollution-TB associations. In this study, we examined the association between long-term exposure to ambient air pollutants (PM p.

View Article and Find Full Text PDF

Air quality changes during the coronavirus disease 2019 (COVID-19) pandemic in China has attracted increasing attention. However, more details in the changes, future air quality trends, and related death benefits on a national scale are still unclear. In this study, a total of 352 Chinese cities were included.

View Article and Find Full Text PDF

[Impact of Particulate Matter (PM 2,5 ) and children's hospitalizations for respiratory diseases. A case cross-over study].

Rev Chil Pediatr

April 2019

Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Chile.

Article Synopsis
  • Santiago de Chile experiences significant air pollution during winter, with particulate matter levels often exceeding WHO standards, impacting the health of its population, particularly children.
  • The study analyzed data from over 72,000 hospitalizations for respiratory diseases among children under 15, focusing on the effects of particulate matter while accounting for the presence of respiratory syncytial virus (RSV).
  • Results indicated that higher levels of PM2.5 were associated with increased hospitalizations for respiratory issues, highlighting that even short-term exposure can have serious health consequences for children.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!