New forecasting system alerts residents of New Delhi about unhealthy air
Residents of New Delhi and nearby heavily polluted areas of northern India now have access to air quality forecasts that provide critical information for reducing their exposure to potentially unhealthy air.
The new forecasting system, developed by the National Center for Atmospheric Research (NCAR) in collaboration with the Indian Institute of Tropical Meteorology (IITM) in Pune has begun providing 72-hour forecasts of fine particulate matter, known as PM2.5. These tiny airborne particles, 2.5 microns or less in diameter, are a major concern because they are small enough to penetrate deep into the lungs or even the bloodstream, potentially causing significant respiratory and cardiac problems.
The air pollution can become so extreme under typical wintertime meteorological conditions that officials in New Delhi have closed schools and restricted traffic on highly polluted days. The government of India has also formulated a graded response action plan to impose temporary controls on industries, power generation, and construction activities to avert severe air pollution episodes.
“By developing this forecasting system, we are working to provide timely and accurate information to the public about forthcoming episodes of poor air quality,” said NCAR’s Rajesh Kumar, the lead scientist on the project. “It’s critical to inform people so they can plan in advance to reduce their exposure to air pollutants that can affect their health.”
The system uses measurements of pollutants, computer modeling, and statistical techniques. It updates the forecast every 24 hours.
Preliminary results indicate that it is accurately predicting day-to-day variability in PM2.5, giving officials and residents advance warning of unusually poor air quality. It does not always capture the precise levels of the pollutant, but Kumar believes they can improve the forecasting system to better predict that.
The technology, which scientists will refine during a two-year research project in India, may eventually be adapted to provide air quality forecasts in other polluted areas in developing countries, as well as in the United States.
The Ministry of Earth Sciences in India is funding the project.
A major health and economic threat
New Delhi ranks among the world’s most polluted cities, according to the World Health Organization. It suffers from particularly high levels of PM2.5, a major threat to human health and economic activity throughout much of India and many parts of the developing world.
Fine particulates are emitted from numerous sources, including agricultural fires, motor vehicles, and smokestacks. On days when atmospheric concentrations of PM2.5 in New Delhi soar to many times the level that is considered unhealthy, prolonged exposure to the toxic haze is equivalent to smoking two packs of cigarettes a day. During a particularly severe pollution episode in 2017, the state of Delhi’s chief minister tweeted: “Delhi has become a gas chamber.”
A recent study in Lancet found that fine particulates and other pollutants may have caused more than 1 million deaths in India in 2017.
Indian officials have turned to air quality forecasts in the past that drew on computer modeling of basic atmospheric conditions. But the forecasts were unreliable because they did not include detailed atmospheric measurements or accurate inventories of emissions, nor did they correctly capture some of the atmospheric processes that produce particulates.
The new system attempts to address these limitations by incorporating satellite measurements of particles in the atmosphere and near-real time emissions from major fires associated with crop-residue burning upwind of Delhi. It also draws on inventories of emissions from transportation, industry, and other human activities. This information is fed into an advanced NCAR-based atmospheric chemistry model known as WRF-Chem (the chemistry component of the Weather Research and Forecasting model).
NCAR scientists are developing a specialized statistical system to combine the observations and WRF-Chem output, further improving the accuracy of PM2.5 predictions and enabling scientists to reliably quantify the uncertainties in the forecast. In addition, IITM is conducting extensive field campaigns and monitoring air quality to better understand processes that influence the formation and movement of particulates in New Delhi’s atmosphere.
Kumar and his colleagues are also developing techniques to ensure that the system accurately predicts spikes in PM2.5 related to special events, such as the annual Diwali festival of lights that is celebrated with candles and fireworks.
With air quality a pressing concern across much of the globe, the research team is studying similar forecasting approaches in the United States and in additional highly polluted developing countries. This work is taking place under the umbrella of a new international project called Monitoring, Analysis, and Prediction of Air Quality (MAP-AQ), led by Kumar and by Guy Brasseur, director of NCAR’s Atmospheric Chemistry Observations and Modeling Laboratory.
“The lessons we are learning in the United States are quite useful in India, and vice-versa,” Kumar said. “This research can lead to accurate forecasting systems in many regions, enabling millions of vulnerable residents to take necessary steps to limit their exposure.”
On the web: news.ucar.edu
On Twitter: @NCAR_Science
This material is based upon work supported by the National Center for Atmospheric Research, a major facility sponsored by the National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.
David Hosansky, NCAR|UCAR Manager of Media Relations
Ali Branscombe, NCAR|UCAR Communications Specialist
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.