Source apportionment of PM2.5 in North India using source-oriented air quality models
Creators
- 1. Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803 (United States)
- 2. Department of Civil Engineering, Indian Institute of Technology Guwahati, 781039 (India)
- 3. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044 (China)
- 4. Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843 (United States)
- 5. Hebei Key Laboratory of Sustained Utilization and Development of Water Resources, Shijiazhuang, Hebei Province 050031 (China)
- 6. School of Water Resources and Environment, Hebei GEO University, Shijiazhuang, Hebei Province 050031 (China)
Description
In recent years, severe pollution events were observed frequently in India especially at its capital, New Delhi. However, limited studies have been conducted to understand the sources to high pollutant concentrations for designing effective control strategies. In this work, source-oriented versions of the Community Multi-scale Air Quality (CMAQ) model with Emissions Database for Global Atmospheric Research (EDGAR) were applied to quantify the contributions of eight source types (energy, industry, residential, on-road, off-road, agriculture, open burning and dust) to fine particulate matter (PM2.5) and its components including primary PM (PPM) and secondary inorganic aerosol (SIA) i.e. sulfate, nitrate and ammonium ions, in Delhi and three surrounding cities, Chandigarh, Lucknow and Jaipur in 2015. PPM mass is dominated by industry and residential activities (>60%). Energy (∼39%) and industry (∼45%) sectors contribute significantly to PPM at south of Delhi, which reach a maximum of 200 μg/m3 during winter. Unlike PPM, SIA concentrations from different sources are more heterogeneous. High SIA concentrations (∼25 μg/m3) at south Delhi and central Uttar Pradesh were mainly attributed to energy, industry and residential sectors. Agriculture is more important for SIA than PPM and contributions of on-road and open burning to SIA are also higher than to PPM. Residential sector contributes highest to total PM2.5 (∼80 μg/m3), followed by industry (∼70 μg/m3) in North India. Energy and agriculture contribute ∼25 μg/m3 and ∼16 μg/m3 to total PM2.5, while SOA contributes <5 μg/m3. In Delhi, industry and residential activities contribute to 80% of total PM2.5. - Highlights: • Sources of PM2.5 in North India were quantified by source-oriented CMAQ. • Industrial/residential activities are the dominating sources (60–70%) for PPM. • Energy/agriculture are the most important sources (30–40%) for SIA. • Strong seasonal variations were predicted in contributions of sources to PPM/SIA. • Industry/residential/energy are top three sources to PM2.5 in all selected cities. - Source-oriented air quality models indicate that industry, residential activities and energy are the main sources of PM2.5 in Delhi and other cities in North India.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.envpol.2017.08.016Additional details
Identifiers
- DOI
- 10.1016/j.envpol.2017.08.016;
- PII
- S0269-7491(17)31453-7;
Publishing Information
- Journal Title
- Environmental Pollution (1987)
- Journal Volume
- 231
- Journal Issue
- Part 1
- Journal Page Range
- p. 426-436
- ISSN
- 0269-7491
- CODEN
- ENPOEK
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49048353
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AGRICULTURE; AIR POLLUTION; AIR QUALITY; INDIA; INDUSTRY; IONS; RESIDENTIAL SECTOR; SEASONAL VARIATIONS; URBAN AREAS
- Descriptors DEC
- ASIA; CHARGED PARTICLES; DEVELOPING COUNTRIES; ENVIRONMENTAL QUALITY; POLLUTION; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.