STATISTICAL ANALYSIS OF LAHORE'S PM2.5 USING OPEN-SOURCE MONITORING NETWORKS
Date: February 18, 2026 Time: 01:00 PM Location: SSE 91C1
Speaker: Mahrukh Nazir Supervisor: Dr Sultan Sial, Dr Fabrizio Ruggeri Student(s): Mahrukh Nazir
This study of Lahore’s pollution includes using open source data from openAQ taken at different spatial points from Lahore. We have analyzed the seasonal trends of data and employed statistical methods to model these changes with time. This study develops a SARIMAX time series framework for air quality forecasting using open-source sensor data from Lahore, Pakistan. The approach demonstrates how publicly available, low-cost monitoring networks can support pollution prediction in cities with limited environmental data infrastructure and reveal the ground realities instead of relying on singular averages for entire populations.
18
Feb
Date: February 18, 2026
Time: 01:00 PM
Location: SSE 91C1
Speaker: Mahrukh Nazir
Supervisor: Dr Sultan Sial, Dr Fabrizio Ruggeri
Student(s): Mahrukh Nazir