A GIS based emissions inventory at 1 km x 1 km spatial resolution for air pollution analysis in Delhi, India

• Published in: Atmospheric environment (1994) Vol. 67; pp. 101 - 111
• Main Authors: GUTTIKUNDA, Sarath K, CALORI, Giuseppe
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier 01.03.2013
• Subjects: Air pollution; Analysis methods; Applied sciences; Atmospheric pollution; Exact sciences and technology; Geographic information systems; Heating; Inventories; Particulates; Pollution; Pollution abatement; Satellite navigation systems; Stockpiling; Delhi; Asia; India; Megacity; Air Quality Management; Air quality; Volatile organic compound; Urban area; Modeling; Sulfur dioxide; Coarse particle; Emission inventory; Dispersion modeling; Urban; Fine particle; Geographic information system; Nitric oxide; Aerosols; Pollution source inventory; Air pollution; Carbon monoxide; Spatial resolution; Organic compounds; Anthropogenic factor
• ISSN: 1352-2310; 1873-2844
• DOI: 10.1016/j.atmosenv.2012.10.040

In Delhi, between 2008 and 2011, at seven monitoring stations, the daily average of particulates with diameter <2.5 mu m (PM sub(2.5)) was 123 plus or minus 87 mu g m super(-3) and particulates with diameter <10 mu m (PM sub(10)) was 208 plus or minus 137 mu g m super(-3). The bulk of the pollution is due to motorization, power generation, and construction activities. In this paper, we present a multi-pollutant emissions inventory for the National Capital Territory of Delhi, covering the main district and its satellite cities - Gurgaon, Noida, Faridabad, and Ghaziabad. For the base year 2010, we estimate emissions (to the nearest 000's) of 63,000 tons of PM sub(2.5), 114,000 tons of PM sub(10), 37,000 tons of sulfur dioxide, 376,000 tons of nitrogen oxides, 1.42 million tons of carbon monoxide, and 261,000 tons of volatile organic compounds. The inventory is further spatially disaggregated into 80x80 grids at 0.01 degree resolution for each of the contributing sectors, which include vehicle exhaust, road dust re-suspension, domestic cooking and heating, power plants, industries (including brick kilns), diesel generator sets and waste burning. The GIS based spatial inventory coupled with temporal resolution of 1 h, was utilized for chemical transport modeling using the ATMoS dispersion model. The modeled annual average PM sub(2.5) concentrations were 122 plus or minus 10 mu g m super(-3) for South Delhi; 90 plus or minus 20 mu g m super(-3) for Gurgaon and Dwarka; 93 plus or minus 26 mu g m super(-3) for North-West Delhi; 93 plus or minus 23 mu g m super(-3) for North-East Delhi; 42 plus or minus 10 mu g m super(-3) for Greater Noida; 77 plus or minus 11 mu g m super(-3) for Faridabad industrial area. The results have been compared to measured ambient PM pollution to validate the emissions inventory.