Review of: "OMI Satellite Observations of decadal changes in Ground-Level Sulfur Dioxide over North America"

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
North America ◽  
Sulfur Dioxide ◽  
Ground Level ◽  
Satellite Observations

scholarly journals Supplementary material to "OMI Satellite Observations of decadal changes in Ground-Level Sulfur Dioxide over North America"

2016 ◽  
Author(s):  
Shailesh K. Kharol ◽  
Chris A. McLinden ◽  
Christopher E. Sioris ◽  
Mark W. Shephard ◽  
Vitali Fioletov ◽  
...  
Keyword(s):  
North America ◽  
Sulfur Dioxide ◽  
Ground Level ◽  
Satellite Observations ◽  
Supplementary Material

scholarly journals OMI satellite observations of decadal changes in ground-level sulfur dioxide over North America

2017 ◽  
Vol 17 (9) ◽  
pp. 5921-5929 ◽  
Author(s):  
Shailesh K. Kharol ◽  
Chris A. McLinden ◽  
Christopher E. Sioris ◽  
Mark W. Shephard ◽  
Vitali Fioletov ◽  
...  
Keyword(s):  
Air Quality ◽  
North America ◽  
Sulfur Dioxide ◽  
Power Plants ◽  
Ground Level ◽  
In Situ Measurements ◽  
Ozone Monitoring Instrument ◽  
Control Laws ◽  
The Impact

Abstract. Sulfur dioxide (SO2) has a significant impact on the environment and human health. We estimated ground-level sulfur dioxide (SO2) concentrations from the Ozone Monitoring Instrument (OMI) using SO2 profiles from the Global Environmental Multi-scale – Modelling Air quality and CHemistry (GEM-MACH) model over North America for the period of 2005–2015. OMI-derived ground-level SO2 concentrations (r = 0. 61) and trends (r = 0. 74) correlated well with coincident in situ measurements from air quality networks over North America. We found a strong decreasing trend in coincidently sampled ground-level SO2 from OMI (−81 ± 19 %) and in situ measurements (−86 ± 13 %) over the eastern US for the period of 2005–2015, which reflects the implementation of stricter pollution control laws, including flue-gas desulfurization (FGD) devices in power plants. The spatially and temporally contiguous OMI-derived ground-level SO2 concentrations can be used to assess the impact of long-term exposure to SO2 on the health of humans and the environment.

scholarly journals OMI Satellite Observations of decadal changes in Ground-Level Sulfur Dioxide over North America

2016 ◽  
Author(s):  
Shailesh K. Kharol ◽  
Chris A. McLinden ◽  
Christopher E. Sioris ◽  
Mark W. Shephard ◽  
Vitali Fioletov ◽  
...  
Keyword(s):  
Air Quality ◽  
North America ◽  
Sulfur Dioxide ◽  
Power Plants ◽  
Ground Level ◽  
In Situ Measurements ◽  
Ozone Monitoring Instrument ◽  
Control Laws ◽  
The Impact

Abstract. Sulfur dioxide (SO2) has a significant impact on the environment and human health. We estimated ground-level sulfur dioxide (SO2) concentrations from the Ozone Monitoring Instrument (OMI) using SO2 profiles from the Global Environmental Multi-scale – Modelling Air quality and CHemistry (GEM-MACH) model over North America for the period of 2005–2015. OMI-derived ground-level SO2 concentrations (r = 0.61) and trends (r = 0.74) correlated well with coincident in-situ measurements from air quality networks over North America. We found a strong decreasing trend in coincidently sampled ground-level SO2 from OMI (−81 ± 19 %) and in-situ measurements (−86 ± 13 %) over Eastern US for the period of 2005–2015, which reflects the implementation of stricter pollution control laws including flue-gas desulfurization (FGD) devices in power plants. The spatially and temporally contiguous OMI derived ground-level SO2 concentrations can be used to assess the impact of long-term exposure to SO2 on the health of humans and the environment.

Assessment of the magnitude and recent trends in satellite-derived ground-level nitrogen dioxide over North America

2015 ◽  
Vol 118 ◽  
pp. 236-245 ◽  
Author(s):  
S.K. Kharol ◽  
R.V. Martin ◽  
S. Philip ◽  
B. Boys ◽  
L.N. Lamsal ◽  
...  
Keyword(s):  
North America ◽  
Nitrogen Dioxide ◽  
Ground Level ◽  
Recent Trends

scholarly journals A method for evaluating spatially-resolved NO<sub>x</sub> emissions using Kalman filter inversion, direct sensitivities, and space-based NO<sub>2</sub> observations

2008 ◽  
Vol 8 (18) ◽  
pp. 5603-5614 ◽  
Author(s):  
S. L. Napelenok ◽  
R. W. Pinder ◽  
A. B. Gilliland ◽  
R. V. Martin
Keyword(s):  
Rural Areas ◽  
Direct Method ◽  
Ground Level ◽  
Regional Model ◽  
Satellite Observations ◽  
Three Dimensions ◽  
Upper Troposphere ◽  
Spatially Resolved ◽  
Scanning Imaging ◽  
Urban And Rural Areas

Abstract. An inverse modeling method was developed and tested for identifying possible biases in emission inventories using satellite observations. The relationships between emission inputs and modeled ambient concentrations were estimated using sensitivities calculated with the decoupled direct method in three dimensions (DDM-3D) implemented within the framework of the Community Multiscale Air Quality (CMAQ) regional model. As a case study to test the approach, the method was applied to regional ground-level NOx emissions in the southeastern United States as constrained by observations of NO2 column densities derived from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite instrument. A controlled "pseudodata" scenario with a known solution was used to establish that the methodology can achieve the correct solution, and the approach was then applied to a summer 2004 period where the satellite data are available. The results indicate that emissions biases differ in urban and rural areas of the southeast. The method suggested slight downward (less than 10%) adjustment to urban emissions, while rural region results were found to be highly sensitive to NOx processes in the upper troposphere. As such, the bias in the rural areas is likely not solely due to biases in the ground-level emissions. It was found that CMAQ was unable to predict the significant level of NO2 in the upper troposphere that was observed during the NASA Intercontinental Chemical Transport Experiment (INTEX) measurement campaign. The best correlation between satellite observations and modeled NO2 column densities, as well as comparison to ground-level observations of NO2, was obtained by performing the inverse while accounting for the significant presence of NO2 in the upper troposphere not captured by the regional model.

scholarly journals Status of Air Pollution Regulations Affecting Gas Turbines in 80 Nations

1974 ◽  
Author(s):  
R. J. Ketterer ◽  
N. R. Dibelius
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Sulfur Dioxide ◽  
Gas Turbines ◽  
Ground Level ◽  
Oxides Of Nitrogen ◽  
Ground Level Concentration ◽  
Pollution Emissions ◽  
Air Pollution Emissions

This paper summarizes regulations from 80 countries covering air pollution emissions from gas turbines. The paper includes emission and ground level concentration standards for particulates, sulfur dioxide, oxides of nitrogen, visible emissions, and carbon monoxide.

scholarly journals Multi-year Satellite Observations of Sulfur Dioxide Gas Emissions and Lava Extrusion at Bagana Volcano, Papua New Guinea

2019 ◽  
Vol 7 ◽  
Author(s):  
Brendan T. McCormick Kilbride ◽  
Kila Mulina ◽  
Geoffrey Wadge ◽  
R. Wally Johnson ◽  
Ima Itikarai ◽  
...  
Keyword(s):  
Sulfur Dioxide ◽  
Papua New Guinea ◽  
New Guinea ◽  
Satellite Observations ◽  
Gas Emissions

Update of the volcanic sulfur emission inventory in MOCAGE CTM and its impact on the budget of sulfur species in the atmosphere

2020 ◽  
Author(s):  
Claire Lamotte ◽  
Virginie Marécal ◽  
Jonathan Guth
Keyword(s):  
Sulfur Dioxide ◽  
Chemical Species ◽  
Global Scale ◽  
Satellite Observations ◽  
Emission Inventories ◽  
Sulfur Species ◽  
Additional Information ◽  
Relative Contribution ◽  
Global Increase ◽  
The Impact

&lt;p&gt;Constraining emission inventories into chemistry-transport models (CTM) is essential. In addition to anthropogenic emissions, natural sources of pollutants must be considered. Among them, volcanoes are large emitters of gases, including sulfur dioxide (SO&lt;sub&gt;2&lt;/sub&gt;), a volatile species, causing environmental and health issues.&lt;/p&gt;&lt;p&gt;Volcanic SO&lt;sub&gt;2&lt;/sub&gt; emission inventories are usually integrated in global CTMs, in order to improve the modelling of chemical species in the atmosphere. Here, we use the model MOCAGE, developed at CNRM, which currently uses Andres &amp; Krasgnoc&amp;#8217;s inventory (1998); a temporal average of emission on some 40 volcanoes, monitored through the synergy of satellite data and surface remote sensing instruments, for 25 years (from 1970&amp;#8217;s to 1997). However, this inventory is now quite old and is therefore no longer sufficiently accurate.&lt;/p&gt;&lt;p&gt;Thanks to the development of new satellite observations, it has become possible to produce such inventories with an improved accuracy. The global coverage and higher sensitivity of these instruments has allowed to reference more emission sources (hard-to-access volcanoes, small eruptions or even passive degassing). Hence, a new inventory of Carn et al (2016,2017) based on satellite observations has been implemented in MOCAGE. Besides being recent (from 1978 up to 2015), it combines eruption and passive degassing over more than 160 volcanoes. Passive degassing fluxes are provided as annual averages and eruption fluxes as daily total quantities (in case of events). In addition, information on volcanoes vent altitude and eruptive plume heights is available, which has been used to better constraints the model.&lt;/p&gt;&lt;p&gt;We focus our study at the global scale. The years 2013 and 2014 were chosen as the years with the lowest and highest total eruptive emissions respectively, in Carn's inventory. Thus, 2013 highlights mainly the impact of passive degassing, while 2014 provides additional information on eruptions.&lt;/p&gt;&lt;p&gt;For each of the years studied, the sulfur species budget in MOCAGE simulation is increased when the inventory is updated and therefore the relative contribution of volcanic sulfur emissions is larger. We note the global increase in sulfur dioxide and sulfate aerosol burdens; an increase even more significant when the injection heights of the emissions are taken into account.&lt;/p&gt;

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