Projects | Studio | Awards
PG - MGEO - Studio - 3 | Spring 2022 | AIR QUALITY ASSESSMENT OF DELHI CITY
  • Student VEMURI VENKATA LALITHA SRIRAM
  • Code PGE21355
  • Faculty Technology
  • Tutor/s Dipak Samal,Dhwanilnath Gharekhan

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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.

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