Union Government launches 72-hour pollution forecast system

Central Government

The Union Government has launched an air quality prediction system that would forecast the state of the air three days in advance in areas of Gurgaon, Ghaziabad and Rohtak on Monday.


Central GovernmentThis will help residents to gear up for bad-air days and also empower enforcement agencies in taking pre-emptive action and issuing warnings.

The system is based on real-time observations of air quality and gives details of natural aerosols like dust, SO2, NO2 as well as particulate matter (PM2.5 and PM10) using different satellite data and other sources.

People can access the information on air quality for the next three days through the media corner of the CPCB website. The system is meant to issue alerts on large scale air pollution events which may occur over Delhi region, said CPCB chairman S P Singh Parihar.


Presently, System of Air Quality and Weather Forecasting and Research (SAFAR), under the ministry of earth sciences, issues forecasts of the next days air quality.

The system has benchmarked data taken during November 2017 and June 2018. The prediction will have a margin error of 10%, said K J Ramesh, Head, Indian Meteorological Department.

The system has an in-built website which can be accessed by CPCB and officials of the Environmental Pollution Authority for taking necessary steps.

These agencies will also issue alerts, bulletins and warning messages on anticipated emergency situations through the central pollution watchdogs website and the media.

It is designed to predict extreme air pollution events and give alerts to take necessary steps as per the Graded Response Action Plan (GRAP) of the government, said Environment and earth sciences Minister, Harsh Vardhan, while launching the first system of its kind in the country.

The ministry will be making further attempts to assimilate more data of other pollutants and also to improve accuracy of predictions with technical support from NCAR and FMI, KJ Ramesh added.

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