A BiLSTM-driven framework for operational PM2.5 forecasting: integrating meteorological kinematics for urban air quality management
The accelerating impact of climate change on meteorological dynamics and air quality across India poses a pressing challenge for urban sustainability and public health resilience. In this study, we present a data-driven AI framework based on Bidirectional Long Short-Term Memory (BiLSTM) networks to forecast PM₂.₅ con...