Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries

KS Rautela, S Singh, MK Goyal - Earth Systems and Environment, 2024 - Springer
The study explores extreme aerosol transport (EAT) events using atmospheric river (ARs)
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 …

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 …

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 …

Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models

OA Alawi, HM Kamar, A Alsuwaiyan, ZM Yaseen - Scientific Reports, 2024 - nature.com
Air pollution monitoring and modeling are the most important focus of climate and
environment decision-making organizations. The development of new methods for air …

Mining of dynamic traffic-meteorology-atmospheric pollutant association rules based on Eclat method

Y Liu, X Yang, K Liu, R Xu, Y Pian, S Liu - Atmospheric Pollution Research, 2024 - Elsevier
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 …

Machine learning and deep learning approaches for PM2.5 prediction: a study on urban air quality in Jaipur, India

S Singh, G Suthar - Earth Science Informatics, 2025 - Springer
Air pollution poses a significant threat to public health and the environment. Understanding
and predicting PM2. 5 concentrations are crucial for implementing effective mitigation …

Air Quality Monitoring Using Low-Cost Sensors in Urban Areas of Jodhpur, Rajasthan

RK Huda, P Kumar, R Gupta, AK Sharma… - International Journal of …, 2024 - mdpi.com
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 …

PR-FCNN: a data-driven hybrid approach for predicting PM2. 5 concentration

SA Inam, AA Khan, T Mazhar, N Ahmed… - Discover Artificial …, 2024 - Springer
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 …

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 …