scholarly journals Elliptic flow in the Gaussian model of eccentricity fluctuations

2008 ◽  
Vol 659 (3) ◽  
pp. 537-541 ◽  
Author(s):  
Sergei A. Voloshin ◽  
Arthur M. Poskanzer ◽  
Aihong Tang ◽  
Gang Wang
Keyword(s):  
Gaussian Model ◽  
Elliptic Flow

Multidimensional, Nonthreshold Gaussian Model of Source Memory

2004 ◽  
Author(s):  
William P. Banks ◽  
Clayton Stephenson ◽  
Nisha Gottfredson ◽  
Andrew A. Sparrow
Keyword(s):  
Source Memory ◽  
Gaussian Model

scholarly journals Elliptic flow of colored glass in high energy heavy ion collisions

2003 ◽  
Vol 554 (1-2) ◽  
pp. 21-27 ◽  
Author(s):  
Alex Krasnitz ◽  
Yasushi Nara ◽  
Raju Venugopalan
Keyword(s):  
Heavy Ion Collisions ◽  
Elliptic Flow ◽  
Heavy Ion ◽  
High Energy ◽  
Colored Glass ◽  
Ion Collisions

scholarly journals Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 811
Author(s):  
Yaqin Hu ◽  
Yusheng Shi
Keyword(s):  
Power Plant ◽  
Co2 Emissions ◽  
Atmospheric Carbon Dioxide ◽  
Power Plants ◽  
Large Scale ◽  
Global Climate ◽  
Gaussian Model ◽  
Point Sources ◽  
Emission Inventories ◽  
Bottom Up

The concentration of atmospheric carbon dioxide (CO2) has increased rapidly worldwide, aggravating the global greenhouse effect, and coal-fired power plants are one of the biggest contributors of greenhouse gas emissions in China. However, efficient methods that can quantify CO2 emissions from individual coal-fired power plants with high accuracy are needed. In this study, we estimated the CO2 emissions of large-scale coal-fired power plants using Orbiting Carbon Observatory-2 (OCO-2) satellite data based on remote sensing inversions and bottom-up methods. First, we mapped the distribution of coal-fired power plants, displaying the total installed capacity, and identified two appropriate targets, the Waigaoqiao and Qinbei power plants in Shanghai and Henan, respectively. Then, an improved Gaussian plume model method was applied for CO2 emission estimations, with input parameters including the geographic coordinates of point sources, wind vectors from the atmospheric reanalysis of the global climate, and OCO-2 observations. The application of the Gaussian model was improved by using wind data with higher temporal and spatial resolutions, employing the physically based unit conversion method, and interpolating OCO-2 observations into different resolutions. Consequently, CO2 emissions were estimated to be 23.06 ± 2.82 (95% CI) Mt/yr using the Gaussian model and 16.28 Mt/yr using the bottom-up method for the Waigaoqiao Power Plant, and 14.58 ± 3.37 (95% CI) and 14.08 Mt/yr for the Qinbei Power Plant, respectively. These estimates were compared with three standard databases for validation: the Carbon Monitoring for Action database, the China coal-fired Power Plant Emissions Database, and the Carbon Brief database. The comparison found that previous emission inventories spanning different time frames might have overestimated the CO2 emissions of one of two Chinese power plants on the two days that the measurements were made. Our study contributes to quantifying CO2 emissions from point sources and helps in advancing satellite-based monitoring techniques of emission sources in the future; this helps in reducing errors due to human intervention in bottom-up statistical methods.

scholarly journals Elliptic Flow of Electrons from Beauty-Hadron Decays in Pb-Pb Collisions at sNN=5.02  TeV

2021 ◽  
Vol 126 (16) ◽  
Author(s):  
S. Acharya ◽  
D. Adamová ◽  
A. Adler ◽  
J. Adolfsson ◽  
M. M. Aggarwal ◽  
...  
Keyword(s):  
Elliptic Flow
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