Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries
The study explores extreme aerosol transport (EAT) events using atmospheric river (ARs)
dynamics to identify aerosol atmospheric rivers (AARs). This provides insight into their …
dynamics to identify aerosol atmospheric rivers (AARs). This provides insight into their …
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Y Yang, Z Wang, C Cao, M Xu, X Yang, K Wang… - Remote Sensing, 2024 - mdpi.com
Long-term exposure to high concentrations of fine particles can cause irreversible damage
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …
Transforming air pollution management in India with AI and machine learning technologies
KS Rautela, MK Goyal - Scientific Reports, 2024 - nature.com
A comprehensive approach is essential in India's ongoing battle against air pollution,
combining technological advancements, regulatory reinforcement, and widespread societal …
combining technological advancements, regulatory reinforcement, and widespread societal …
TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction
H Zhou, Y Mao, X Li, Y Rong, L Chen, C Yin - Expert Systems with …, 2025 - Elsevier
Accurate air pollution prediction is of great significance for human health, travel, and
environmental management. As an emerging artificial intelligence technology, Transformer …
environmental management. As an emerging artificial intelligence technology, Transformer …
Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models
Air pollution monitoring and modeling are the most important focus of climate and
environment decision-making organizations. The development of new methods for air …
environment decision-making organizations. The development of new methods for air …
Mining of dynamic traffic-meteorology-atmospheric pollutant association rules based on Eclat method
With the rapid increase of urban vehicles, the atmospheric compound pollutants, notably PM
2. 5 and O 3, have significantly increased and seriously affected public health. Traffic and …
2. 5 and O 3, have significantly increased and seriously affected public health. Traffic and …
Machine learning and deep learning approaches for PM2.5 prediction: a study on urban air quality in Jaipur, India
Air pollution poses a significant threat to public health and the environment. Understanding
and predicting PM2. 5 concentrations are crucial for implementing effective mitigation …
and predicting PM2. 5 concentrations are crucial for implementing effective mitigation …
Air Quality Monitoring Using Low-Cost Sensors in Urban Areas of Jodhpur, Rajasthan
Air pollution poses a significant health hazard in urban areas across the globe, with India
being one of the most affected countries. This paper presents environmental monitoring …
being one of the most affected countries. This paper presents environmental monitoring …
PR-FCNN: a data-driven hybrid approach for predicting PM2. 5 concentration
The atmosphere's fine articulate Matter (PM2. 5) poses various health-related risks. Even
though multiple efforts have been made to lower the emissions of these substances, the …
though multiple efforts have been made to lower the emissions of these substances, the …
Aerosol Atmospheric Rivers: Detection and Spatio-Temporal Patterns
MK Goyal, KS Rautela - Aerosol Atmospheric Rivers: Availability …, 2024 - Springer
Abstract Aerosol Atmospheric Rivers (AARs) are a complex environmental phenomena that
have a significant impact on the sustainability of the environment and human health. The …
have a significant impact on the sustainability of the environment and human health. The …