Air pollution has emerged as a major challenge in Delhi (its 9 districts and the neighboring cities) 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.
An effective air quality management requires reliable information on ambient air pollution levels with substantial spatial and temporal coverage. Air quality data are generally available through air quality measurement campaigns; which is also an ideal database to statistically forecast pollution levels in the next 3-4 days, based on past experiences. However, this database is not enough to explain the highs and the lows, source contributions, and spatial patterns in the observed trends. In this regards and in case of lesser number of monitors covering the urban airshed, forecasts based on multi-pollutant chemical transport modeling systems will help (click here for an infographic on why we need an air pollution modeling framework for planning and forecasting).
A vital characteristic of Delhi’s air quality lies in its own air pollution sources, as much as in the pollutants from the neighboring regions through long range transport, including fossil fuels, biomass burning, and seasonal dust. The air quality forecasting can interject the contributions of pollution for national, regional and urban areas, to better support a long-term air quality management plan and a short-term health alert system.
To support Delhi’s air pollution management, we forecast ambient concentrations for all the criteria pollutants for the next 72-hours, using meteorology processed through 3D-WRF meteorological model and the concentrations simulated through the CAMx chemical transport modeling system. The modeling domain covering Delhi and its satellite cities, extends 80 km in North to South and 80 km West to East, with a spatial resolution of 0.01 degrees (~1 km) and a temporal resolution of 1 hour. The modeled meteorology and concentration data fields are updated everyday at ~7:00 PM IST.
For more details, visit the Delhi air quality forecasting page. Additional data fields
- summary of monitoring data from local networks
- 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