Radiocarbon-based source apportionment of elemental carbon aerosols at two South Asian receptor observatories over a full annual cycle

被引:43
|
作者
Budhavant, Krishnakant [1 ]
Andersson, August [2 ,3 ]
Bosch, Carme [2 ,3 ]
Krusa, Martin [2 ,3 ]
Kirillova, E. N. [2 ,3 ]
Sheesley, R. J. [2 ,3 ]
Safai, P. D. [4 ]
Rao, P. S. P. [4 ]
Gustafsson, Orjan [2 ,3 ]
机构
[1] MCOH, H Dh Hanimaadhoo 02020, Maldives
[2] Stockholm Univ, Dept Environm Sci & Analyt Chem ACES, SE-10691 Stockholm, Sweden
[3] Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden
[4] Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India
来源
ENVIRONMENTAL RESEARCH LETTERS | 2015年 / 10卷 / 06期
关键词
black carbon; organic carbon; isotope; India; Maldives; C-14; air pollution; BLACK CARBON; ORGANIC-CARBON; CHEMICAL-COMPOSITION; PARTICULATE MATTER; WATER; INVENTORY; INDIA;
D O I
10.1088/1748-9326/10/6/064004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Black carbon (BC) aerosols impact climate and air quality. Since BC from fossil versus biomass combustion have different optical properties and different abilities to penetrate the lungs, it is important to better understand their relative contributions in strongly affected regions such as South Asia. This study reports the first year-round C-14-based source apportionment of elemental carbon (EC), the mass-based correspondent to BC, using as regional receptor sites the international Maldives Climate Observatory in Hanimaadhoo (MCOH) and the mountaintop observatory of the Indian Institute of Tropical Meteorology in Sinhagad, India (SINH). For the highly-polluted winter season (December-March), the fractional contribution to EC from biomass burning (f(bio)) was 53 +/- 5% (n = 6) atMCOHand 56 +/- 3% at SINH (n = 5). The f(bio) for the non-winter remainder was 53 +/- 11% (n = 6) atMCOHand 48 +/- 8%(n = 7) at SINH. This observation-based constraint on near-equal contributions from biomass burning and fossil fuel combustion at both sites compare with predictions from eight technology-based emission inventory (EI) models for India of (f(bio)) EI spanning 55-88%, suggesting that most current EI for Indian BC systematically under predict the relative contribution of fossil fuel combustion. Acontinued iterative testing of bottom-up EI with top-down observational source constraints has the potential to lead to reduced uncertainties regarding EC sources and emissions to the benefit of both models of climate and air quality as well as guide efficient policies to mitigate emissions.
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页数:7
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