共 3 条
Application of satellite-based sulfur dioxide observations to support the cleantech sector: Detecting emission reduction from copper smelters
被引:10
|作者:
Ialongo, Iolanda
[1
]
Fioletov, Vitali
[2
]
McLinden, Chris
[2
]
Jafs, Mikael
[3
]
Krotkov, Nickolay
[4
]
Li, Can
[4
,5
]
Tamminen, Johanna
[1
]
机构:
[1] Finnish Meteorol Inst, Helsinki, Finland
[2] Environm & Climate Change Canada, Air Qual Res Div, Toronto, ON, Canada
[3] Outotec Oyj, Espoo, Finland
[4] NASA, Goddard Space Flight Ctr, Atmospher Chem & Dynam Lab, Greenbelt, MD USA
[5] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
基金:
芬兰科学院;
关键词:
Sulfur dioxide;
Emission;
Copper smelter;
Satellite;
Cleantech;
CANADIAN OIL SANDS;
SO2;
NO2;
RETRIEVALS;
POLLUTION;
PRODUCTS;
OMI;
D O I:
10.1016/j.eti.2018.08.006
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
In this study, we present the result of the application of space-based sulfur dioxide (SO2) observations to evaluate the efficacy of cleantech solutions in reducing air polluting emissions from metal smelting. We analyze the Ozone Monitoring Instrument (OMI) satellite-based SO2 observations over Tsumeb (Namibia) and Bor (Serbia) copper smelters, where two sulfur-capture plants, designed to transform gaseous SO2 emissions into sulfuric acid, were implemented in 2015. We observe a reduction in the annual SO2 emissions by up to 90% after 2015 at both smelters, as a result of the implementation of the sulfuric acid plants. The OMI-based emission estimates are mostly in line with those reported at facility-level and reproduce the same year-to-year variability. This variability is driven by the changes in the copper production, the sulfur-to-copper ratio and by the technology employed to reduce the SO2 emissions. OMI observations are directly used by the company operating the sulfuric acid plants to confirm the efficacy of the employed technology using independent satellite-based observations. The results demonstrate how satellite-based observations are able to detect relative changes in SO2 emissions and can be used to verify and complete existing emission informations. The approach presented here can be applied to other sources on global scale to support cleantech companies as well as decision-makers involved in environmental policies and sustainable development. (C) 2018 The Authors. Published by Elsevier B.V.
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页码:172 / 179
页数:8
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