Air pollution has emerged as a major challenge in Delhi and the problem becomes more complex due to multiplicity and complexity of the mix of emission sources, such as, industries, automobiles, generator sets, domestic fuel burning, road side dusts, construction activities, etc. To support Delhi’s air pollution management framework, modeled hourly average concentrations and a 24-hour moving average concentrations were simulated for the next 72-hours, using meteorology processed through 3D-WRF meteorological model and the GFS meteorological fields and the concentrations simulated through the CAMx chemical transport modeling system.
The time series presented here is an average for all the 1 km x 1 km grids overlapping in each of the district. A map showing the geographical extent of each of the districts is presented here (along with a kml file for reference and use). The modeling domain includes 14 districts – 9 in Delhi, 2 in Haryana, and 3 in Uttar Pradesh. When comparing the numbers below with the real time monitoring data, keep in mind that these are district averages and the data coming from the monitoring stations is a point measurement.
The data fields are updated everyday at ~7:00 PM local time.
For more details, visit the Delhi air quality forecasting page. Additional data fields
- summary of monitoring data from local networks as box plots and time series
- Forecasts – animations of hourly wind, temperature, precipitation, and mixing heights (maps)
- Forecasts – daily (24 hour) average concentrations (maps)
- Forecasts – animations of hourly average concentrations (maps)
- Forecasts – hourly time series at the district level
- Forecasts – modeled source contributions to hourly PM2.5 concentrations at the district level
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