Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Department of Civil Engineering, Indian Institute of Technology Guwahati, 781039, India.
Environ Pollut. 2017 Dec;231(Pt 1):426-436. doi: 10.1016/j.envpol.2017.08.016. Epub 2017 Aug 19.
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 (PM) 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/m during winter. Unlike PPM, SIA concentrations from different sources are more heterogeneous. High SIA concentrations (∼25 μg/m) 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 PM (∼80 μg/m), followed by industry (∼70 μg/m) in North India. Energy and agriculture contribute ∼25 μg/m and ∼16 μg/m to total PM, while SOA contributes <5 μg/m. In Delhi, industry and residential activities contribute to 80% of total PM.
近年来,印度频繁发生严重的污染事件,尤其是在其首都新德里。然而,为了设计有效的控制策略,对导致高污染物浓度的污染源的研究还很有限。在这项工作中,应用了面向源的版本的社区多尺度空气质量(CMAQ)模型和全球大气排放数据库(EDGAR),以量化 2015 年德里及其周边三个城市昌迪加尔、勒克瑙和斋浦尔的八种源类型(能源、工业、住宅、道路、非道路、农业、露天燃烧和扬尘)对细颗粒物(PM)及其成分(包括一次 PM(PPM)和二次无机气溶胶(SIA),即硫酸盐、硝酸盐和铵离子)的贡献。PPM 质量主要由工业和住宅活动主导(>60%)。能源(∼39%)和工业(∼45%)部门对德里南部的 PPM 贡献显著,在冬季达到最高值 200μg/m。与 PPM 不同,来自不同来源的 SIA 浓度更加不均匀。在南德里和中央北方邦的高 SIA 浓度(∼25μg/m)主要归因于能源、工业和住宅部门。农业对 SIA 的贡献大于 PPM,道路和露天燃烧对 SIA 的贡献也高于 PPM。在印度北部,住宅部门对总 PM(∼80μg/m)的贡献最大,其次是工业(∼70μg/m)。能源和农业对总 PM 的贡献分别为∼25μg/m 和∼16μg/m,而 SOA 的贡献<5μg/m。在德里,工业和住宅活动对总 PM 的贡献达到 80%。