Multi-headed CNN-GRU Model for Particulate Matter(PM2.5) Prediction in Smart Cities

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Kailas Patil ◽  
Shilpa Sonawani ◽  
Prawit Chumchu
Keyword(s):  
Particulate Matter ◽  
Smart Cities

scholarly journals Spatial and Temporal Variations in Atmospheric Ventilation Index Coupled with Particulate Matter Concentration in South Korea

2021 ◽  
Vol 13 (16) ◽  
pp. 8954
Author(s):  
Seoyeon Lee ◽  
Seung-Jae Lee ◽  
Jung-Hyuk Kang ◽  
Eun-Suk Jang
Keyword(s):  
Particulate Matter ◽  
High Resolution ◽  
South Korea ◽  
Smart Cities ◽  
Temporal Variations ◽  
Concentration Data ◽  
Areas Of Interest ◽  
Aid Decision ◽  
First Time ◽  
Matter Concentration

The spatiotemporal variations in the atmospheric ventilation index (AVI) with the particulate matter (PM) concentrations in South Korea were investigated using a regional grid model derived from the National Center for AgroMeteorology and PM10 concentration data obtained from AirKorea and the Korea Meteorological Administration. To construct a high-resolution AVI database with 1 h time intervals and a spatial resolution of approximately 2.4 km, a medium-range prediction was performed using a regional model twice a week from December 2018 to November 2019. The resultant dataset was used to explore the seasonal patterns of the areal distribution of a novel index: Ventilation Index coupled with PM (VIP), defined by the ratio of the AVI to PM. To determine the effects of geography on the VIP, diurnal variations of the VIP were examined at three major cities in South Korea. The emphasis of the investigation was on major cities that are planned to be developed into smart cities. This study reveals the specific spatiotemporal structure of the AVI in South Korea for the first time at a high resolution and introduced the potential usefulness of the VIP. The results provide insights that could aid decision making for determining favorable locations for clean or polluted cities on an annual basis and can enable the sustainable management of fine PM in and around the areas of interest.

Airborne Particulate Matter Monitoring Using UAVs for Smart Cities and Urban Areas

2018 ◽  
Author(s):  
Gian Paolo Mayuga ◽  
Chrisandro Favila ◽  
Carlos Oppus ◽  
Edgardo Macatulad ◽  
Len Herald Lim
Keyword(s):  
Particulate Matter ◽  
Urban Areas ◽  
Smart Cities ◽  
Airborne Particulate Matter ◽  
Airborne Particulate

scholarly journals EVALUATION OF PARTICULATE MATTER (PM10) DISTRIBUTIONS IN İZMIR USING GEOGRAPHIC INFORMATION SYSTEMS FOR SMART CITIES APPLICATIONS

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 545-555
Author(s):  
K. Ulutaş ◽  
S. K. M. Abujayyab ◽  
İ. R. Karaş
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Distribution Map ◽  
City Managers ◽  
Limit Values ◽  
Limit Value ◽  
Different Sources

Abstract. In this study, PM10 values from the air quality monitoring station in Izmir was evaluated. 9 stations could be used in this study, since PM10 data are suitable to evaluate for the years 2020-2019-2018. The 4-season and annual PM10 distribution map for 3 years was prepared using ArcGIS. The benefits of these maps to city managers in the smart city application were expressed. In addition, PM10 data of 9 stations were evaluated according to legal limit values. It was determined that Aliağa and Gaziemir stations exceeded the limit values more than other stations. It has been observed that different sources of air pollution such as industry, traffic and heating affect different districts. When the number of days exceeding the limit value and the number of days without measurement are evaluated together, it is seen that the limit values are exceeded by all stations.

scholarly journals A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2220 ◽  
Author(s):  
Chiou-Jye Huang ◽  
Ping-Huan Kuo
Keyword(s):  
Particulate Matter ◽  
Smart Cities ◽  
Deep Cnn

scholarly journals Distributed Ledger Enabled Control of Tyre Induced Particulate Matter in Smart Cities

2020 ◽  
Vol 2 ◽  
Author(s):  
Panagiota Katsikouli ◽  
Pietro Ferraro ◽  
Hugo Richardson ◽  
Hanson Cheng ◽  
Siobhan Anderson ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Smart Cities ◽  
Distributed Ledger

Letters. Inhalable particulate matter

1982 ◽  
Vol 16 (4) ◽  
pp. 208-208
Author(s):  
Bernard Goldstein
Keyword(s):  
Particulate Matter ◽  
Inhalable Particulate Matter
Sign in / Sign up

Export Citation Format

Share Document