Vemuri Venkata Lalitha Sriram

GE4001

AIR QUALITY ASSESSMENT OF DELHI CITY

Air quality of Delhi is far higher than stipulated Air Quality Index Standard (ASI) prescribed by India. To that extent the Particulate Matter (PM) is the chief contributing pollutant in the city. This study aims to model and predict PM2.5 and PM 10 concentrations using various mateorological parameters through machine learning algorithms of Artificial Neural Networks (ANN) and Long Short-Memory Algorithm (LSTM) thus understanding the impact of land cover on PM concentration.


Report Content

Air Pollution

Study Area - Delhi

LSTM Algorithm

Methodology

Distribution of PM10 concentrations

Distribution of PM10 and PM2.5 across Stations

Model Performance And Evaluation

Distribution of PM concentrations

Impact of land cover on air quality

Conclusions and Way forward