India Air Quality Forecasts – District Average PM Source Contributions


An effective air quality management plan starts with knowing the contribution of various sources to the ambient PM2.5 concentrations. Using the WRF-CAMx modeling system, a series of simulations are conducted every day to model source contributions to hourly average PM2.5 concentrations, based on a detailed spatially and temporally resolved emissions inventory. The modeled average is for all the 0.25° x 0.25° grids (~25 km x 25 km) overlapping in each of the districts. The modeling domain includes 640 districts covering 36 states (including Union Territories). The district designations are as per the 2011 census board specifications. The clubbed source categories are described below. The data fields are updated everyday at approximately 21:00 local time.

If you click on any of the source categories in the legend, it will allow you to minus that contribution and see what could be the PM2.5 concentrations without its contribution. If you click on it again, the source will be added back to the chart.

State
District
PM Size Fraction

  • DUST.ERO = contribution of wind blown dust from dry and arid regions, dependent of hourly meteorological conditions
  • OPEN.FIRES = contribution of open biomass burning (both agricultural lands and forest areas), a seasonal affair linked to dry conditions and agricultural clearing patterns (supported via satellite feeds)
  • TRANS.PASS = contribution of passenger transport (2-3-4-wheelers, buses, and aviation)
  • TRANS.FRGT = contribution of freight transport (heavy and light trucks, non-road vehicles, and shipping)
  • RD.DUST = contribution of re-suspended dust on the roads and construction activities
  • PP.DGS = contribution of power plants and in-situ diesel generator sets
  • INDUS = contribution of industrial activities
  • HOUS.HLD = contribution of domestic cooking, space heating, water heating, and lighting
  • WST.BURN = contribution of open waste burning
  • NATURAL = contribution of biogenic and seasalt emissions, dependent of hourly meteorological conditions
  • NON-INDIA = contribution of anthropogenic emissions from outside India (and within the modeling domain of this study); this portion of the emissions are extracted from global emissions inventories
  • BOUNDARY = contribution of initial and boundary conditions; initial conditions are residuals from the previous days simulation and boundary conditions are extracted from EU-CAMS global forecasts

Back to the India air quality forecasting page. Additional data fields from the forecasting system

Send your queries to simair@urbanemissions.info