Effective PM2. 5 concentration forecasting based on multiple spatial–temporal GNN for areas without monitoring stations

IF Su, YC Chung, C Lee, PM Huang - Expert Systems with Applications, 2023 - Elsevier
… Therefore, a GNN-based model was designed in this study to forecast PM2.5 concentrations.
GNN and GRU were used in combination to obtain the spatial and temporal relationships …

An ensemble long short-term memory neural network for hourly PM2. 5 concentration forecasting

Y Bai, B Zeng, C Li, J Zhang - Chemosphere, 2019 - Elsevier
… To evaluate the performance of the E-LSTM model, two datasets collected from two
environmental monitoring stations in Beijing, China, are investigated. It is demonstrated that the E-…

PMs concentration forecasting using ARIMA algorithm

A Badicu, G Suciu, M Balanescu… - 2020 IEEE 91st …, 2020 - ieeexplore.ieee.org
… the issue of forecasting PM10 concentrations, considering the … set of daily concentrations
gathered from 4 stations. The results … be efficiently applied for forecasting PM10 concentrations. …

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

PJG Nieto, FS Lasheras, E García-Gonzalo… - Science of the Total …, 2018 - Elsevier
monitoring stations in the metropolitan area of Oviedo; and (b) Palacio de los Deportes ambient
air monitoring station … ambient air monitoring stations record the concentrations of sulfur …

Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model

B Liu, X Yu, J Chen, Q Wang - Atmospheric Pollution Research, 2021 - Elsevier
… average air pollutant concentration data from 35 air quality monitoring stations in Beijing …
air quality monitoring stations (air quality monitoring stations include 35 monitoring stations

[HTML][HTML] Development of a model for forecasting of PM10 concentrations in Salamanca, Mexico

MG Cortina–Januchs, J Quintanilla–Dominguez… - Atmospheric Pollution …, 2015 - Elsevier
… a forecasting model to predict average concentration of PM … and concentrations of PM 10
collected in three different stationsmonitoring stations: Nativitas (NA), DIF and Cruz Roja (CR). …

[HTML][HTML] Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales

A Russo, PG Lind, F Raischel, R Trigo… - Atmospheric Pollution …, 2015 - Elsevier
… We consider daily values of PM 10 concentrations measured by twelve monitoring
stations in the agglomeration of Lisbon (Figure 1), between 2002 and 2006, which record the …

Validation of a hybrid forecasting system for the ozone concentrations over the Paris area

R Vautard, M Beekmann, J Roux, D Gombert - Atmospheric Environment, 2001 - Elsevier
… Ozone forecasting in the plume will be addressed in … monitoring stations relatively remote
from the source areas. The network includes 11 ozone urban or suburban monitoring stations

[HTML][HTML] Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

SR Shams, A Jahani, S Kalantary, M Moeinaddini… - Scientific Reports, 2021 - nature.com
… each park and NO 2 monitoring station and park index adjacent to the NO 2 monitoring
station (ie the area of the nearest park to the NO 2 monitoring station divided by the distance of …

PM2. 5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition

G Huang, X Li, B Zhang, J Ren - Science of the Total Environment, 2021 - Elsevier
concentration prediction in this paper is mainly short-term forecast, so the PM2.5 concentration
… In future research, air quality data and weather data from multiple stations will be used in …