Enhancing urban air quality prediction using time-based-spatial forecasting framework

Enhancing urban air quality prediction using time-based-spatial forecasting framework

Abstract Air quality forecasting plays a pivotal role in environmental management, public health and urban planning. This research presents a comprehensive approach for forecasting the Air Quality Index (AQI). The proposed Time-Based-Spatial (TBS) forecasting framework is integrated with spatial and...

Full description

Saved in:
Bibliographic Details
Main Authors: Shrikar Jayaraman, Nathezhtha T, Abirami S, Sakthivel G
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
AQI
TBS
CNN
ARIMA
Spatial characteristics
Forecasting
Online Access:https://doi.org/10.1038/s41598-024-83248-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items