scholarly journals Patterns of mercury dispersion from local and regional emission sources, rural Central Wisconsin, USA

2010 ◽  
Vol 10 (1) ◽  
pp. 1823-1846
Author(s):  
A. Kolker ◽  
M. L. Olson ◽  
D. P. Krabbenhoft ◽  
M. T. Tate ◽  
M. A. Engle
Keyword(s):  
Power Plant ◽  
Point Source ◽  
Real Time ◽  
Ambient Air ◽  
Electric Utility ◽  
Emission Sources ◽  
Environmental Benefit ◽  
Future Studies ◽  
Fine Particulate ◽  
Time Changes

Abstract. Simultaneous real-time changes in mercury (Hg) speciation – reactive gaseous Hg (RGM), elemental Hg (Hg°), and fine particulate Hg (Hg-PM2.5), were determined from June to November 2007, in ambient air at three locations in rural Central Wisconsin. Known Hg emission sources within the airshed of the monitoring sites include: 1) a 1114 megawatt (MW) coal-fired electric utility generating station; 2) a Hg-bed chlor-alkali plant; and 3) a smaller (465 MW) coal-burning electric utility. Monitoring sites, showing sporadic elevation of RGM, Hg° and Hg-PM2.5, were positioned at distances of 25, 50 and 100 km northward of the larger electric utility. A series of RGM events were recorded at each site. The largest, on 23 September, occurred under prevailing southerly winds, with a maximum RGM value (56.8 pg m−3) measured at the 100 km site, and corresponding elevated SO2 (10.41 ppbv; measured at 50 km site). The finding that RGM, Hg°, and Hg-PM2.5 are not always highest at the 25 km site, closest to the large generating station, contradicts the idea that RGM decreases with distance from a large point source. This may be explained if: 1) the 100 km site was influenced by emissions from the chlor-alkali facility or by RGM from regional urban sources; 2) the emission stack height of the larger power plant promoted plume transport at an elevation where the Hg is carried over the closest site; or 3) RGM was being generated in the plume through oxidation of Hg°. Operational changes at each emitter since 2007 should reduce their Hg output, potentially allowing quantification of the environmental benefit in future studies.

scholarly journals Patterns of mercury dispersion from local and regional emission sources, rural Central Wisconsin, USA

2010 ◽  
Vol 10 (10) ◽  
pp. 4467-4476 ◽  
Author(s):  
A. Kolker ◽  
M. L. Olson ◽  
D. P. Krabbenhoft ◽  
M. T. Tate ◽  
M. A. Engle
Keyword(s):  
Power Plant ◽  
Point Source ◽  
Real Time ◽  
Ambient Air ◽  
Electric Utility ◽  
Emission Sources ◽  
Environmental Benefit ◽  
Future Studies ◽  
Fine Particulate ◽  
Time Changes

Abstract. Simultaneous real-time changes in mercury (Hg) speciation- reactive gaseous Hg (RGM), elemental Hg (Hg°), and fine particulate Hg (Hg-PM2.5), were determined from June to November, 2007, in ambient air at three locations in rural Central Wisconsin. Known Hg emission sources within the airshed of the monitoring sites include: 1) a 1114 megawatt (MW) coal-fired electric utility generating station; 2) a Hg-bed chlor-alkali plant; and 3) a smaller (465 MW) coal-burning electric utility. Monitoring sites, showing sporadic elevation of Hg°, Hg-PM2.5, and RGM were positioned at distances of 25, 50 and 100 km northward of the larger electric utility. Median concentrations of Hg°, Hg-PM2.5, and RGM were 1.3–1.4 ng m−3, 2.6–5.0 pg m−3, and 0.6–0.8 pg m−3, respectively. A series of RGM events were recorded at each site. The largest, on 23 September, occurred under prevailing southerly winds, with a maximum RGM value (56.8 pg m-3) measured at the 100 km site, and corresponding elevated SO2 (10.4 ppbv; measured at 50 km site). The finding that RGM, Hg°, and Hg-PM2.5 are not always highest at the 25 km site, closest to the large generating station, contradicts the idea that RGM decreases with distance from a large point source. This may be explained if: 1) the 100 km site was influenced by emissions from the chlor-alkali facility or by RGM from regional urban sources; 2) the emission stack height of the larger power plant promoted plume transport at an elevation where the Hg is carried over the closest site; or 3) RGM was being generated in the plume through oxidation of Hg°. Operational changes at each emitter since 2007 should reduce their Hg output, potentially allowing quantification of the environmental benefit in future studies.

scholarly journals PM2.5 polluters disproportionately and systemically affect people of color in the United States

2021 ◽  
Vol 7 (18) ◽  
pp. eabf4491
Author(s):  
Christopher W. Tessum ◽  
David A. Paolella ◽  
Sarah E. Chambliss ◽  
Joshua S. Apte ◽  
Jason D. Hill ◽  
...  
Keyword(s):  
United States ◽  
Rural Areas ◽  
The United States ◽  
People Of Color ◽  
Emission Sources ◽  
Particulate Air Pollution ◽  
Fine Particulate ◽  
Exposure Levels ◽  
Urban And Rural Areas ◽  
Racial Ethnic

Racial-ethnic minorities in the United States are exposed to disproportionately high levels of ambient fine particulate air pollution (PM2.5), the largest environmental cause of human mortality. However, it is unknown which emission sources drive this disparity and whether differences exist by emission sector, geography, or demographics. Quantifying the PM2.5 exposure caused by each emitter type, we show that nearly all major emission categories—consistently across states, urban and rural areas, income levels, and exposure levels—contribute to the systemic PM2.5 exposure disparity experienced by people of color. We identify the most inequitable emission source types by state and city, thereby highlighting potential opportunities for addressing this persistent environmental inequity.

scholarly journals Online Simulation of Nuclear Power Plant Primary Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongyun Xie ◽  
Haixia Gu ◽  
Chao Lu ◽  
Jialin Ping
Keyword(s):  
Information System ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Real Time ◽  
Nuclear Power ◽  
Measurement Data ◽  
Reactor Core ◽  
Power Industry ◽  
Nuclear Power Industry ◽  
Online Simulation

Real-time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, online simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purpose of analyzing plant events and providing indicative signs of malfunctioning. OLS has been applied in certain industries to improve safety and efficiency. However, it is new to the nuclear power industry. A research project was initiated to implement OLS to assist operators in certain critical nuclear power plant (NPP) operations to avoid faulty conditions. OLS models were developed to simulate the reactor core physics and reactor/steam generator thermal hydraulics in real time, with boundary conditions acquired from plant information system, synchronized in real time. The OLS models then were running in parallel with recorded plant events to validate the models, and the results are presented.

Method for real-time detection of dimethyl sulfone in ambient air

1993 ◽  
Vol 65 (21) ◽  
pp. 3168-3170 ◽  
Author(s):  
H. Berresheim ◽  
D. J. Tanner ◽  
F. L. Eisele
Keyword(s):  
Real Time ◽  
Ambient Air ◽  
Dimethyl Sulfone ◽  
Real Time Detection

scholarly journals Effect of Short-Term Exposure to Fine Particulate Matter and Temperature on Acute Myocardial Infarction in Korea

2021 ◽  
Vol 18 (9) ◽  
pp. 4822
Author(s):  
Jiyoung Shin ◽  
Jongmin Oh ◽  
In Sook Kang ◽  
Eunhee Ha ◽  
Wook Bum Pyun
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Ambient Air ◽  
Cold Season ◽  
Short Term ◽  
Fine Particulate ◽  
Short Term Exposure ◽  
The Impact

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.

scholarly journals IoT Based Real Time Energy Management of Virtual Power Plant using PLC for Transactive Energy Framework

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Poushali Pal ◽  
A. K. Parvathy ◽  
K. R. Devabalaji ◽  
Joseph Antony ◽  
Simon Ocheme ◽  
...  
Keyword(s):  
Power Plant ◽  
Real Time ◽  
Energy Management ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Transactive Energy
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