KJCKorea
Journal Central

@article{ART002833211},
author={Inho Choi and Wonyoung Lee and Beomjin Eun and Heo Jeong Sook and CHANG KWANG-HYEON and Jong-Min Oh},
title={A Study on Prediction of PM2.5 Concentration Using DNN},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2022},
volume={31},
number={2},
pages={83-94}

TY - JOUR
AU - Inho Choi
AU - Wonyoung Lee
AU - Beomjin Eun
AU - Heo Jeong Sook
AU - CHANG KWANG-HYEON
AU - Jong-Min Oh
TI - A Study on Prediction of PM2.5 Concentration Using DNN
JO - Journal of Environmental Impact Assessment
PY - 2022
VL - 31
IS - 2
PB - Korean Society Of Environmental Impact Assessment
SP - 83
EP - 94
SN - 1225-7184
AB - In this study, DNN-based models were learned using air quality determination data for 2017, 2019, and 2020 provided by the National Measurement Network (Air Korea), and this models evaluated using data from 2016 and 2018. Based on Pearson correlation coefficient 0.2, four items (SO2, CO, NO2, PM10) were initially modeled as independent variables. In order to improve the accuracy of prediction, monthly independent modeling was carried out. The error was calculated by RMSE (Root Mean Square Error) method, and the initial model of RMSE was 5.78, which was about 46% better than the national moving average model result (10.77). In addition, the performance improvement of the independent monthly model was observed in months other than November compared to the initial model. Therefore, this study confirms that DNN modeling was effective in predicting PM2.5 concentrations based on air pollutants concentrations, and that the learning performance of the model could be improved by selecting additional independent variables.
KW - PM2.5;air pollutants;machine learning;prediction model;DNN model
DO -
UR -
ER -

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON and Jong-Min Oh. (2022). A Study on Prediction of PM2.5 Concentration Using DNN. Journal of Environmental Impact Assessment, 31(2), 83-94.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON and Jong-Min Oh. 2022, "A Study on Prediction of PM2.5 Concentration Using DNN", Journal of Environmental Impact Assessment, vol.31, no.2 pp.83-94.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON, Jong-Min Oh "A Study on Prediction of PM2.5 Concentration Using DNN" Journal of Environmental Impact Assessment 31.2 pp.83-94 (2022) : 83.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON, Jong-Min Oh. A Study on Prediction of PM2.5 Concentration Using DNN. 2022; 31(2), 83-94.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON and Jong-Min Oh. "A Study on Prediction of PM2.5 Concentration Using DNN" Journal of Environmental Impact Assessment 31, no.2 (2022) : 83-94.

Inho Choi; Wonyoung Lee; Beomjin Eun; Heo Jeong Sook; CHANG KWANG-HYEON; Jong-Min Oh. A Study on Prediction of PM2.5 Concentration Using DNN. Journal of Environmental Impact Assessment, 31(2), 83-94.

Inho Choi; Wonyoung Lee; Beomjin Eun; Heo Jeong Sook; CHANG KWANG-HYEON; Jong-Min Oh. A Study on Prediction of PM2.5 Concentration Using DNN. Journal of Environmental Impact Assessment. 2022; 31(2) 83-94.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON, Jong-Min Oh. A Study on Prediction of PM2.5 Concentration Using DNN. 2022; 31(2), 83-94.

Inho Choi, Wonyoung Lee, Beomjin Eun, Heo Jeong Sook, CHANG KWANG-HYEON and Jong-Min Oh. "A Study on Prediction of PM2.5 Concentration Using DNN" Journal of Environmental Impact Assessment 31, no.2 (2022) : 83-94.