scholarly journals Entropic Approach for Emission Rate Estimation of Area Pollutant Sources

2013 ◽  
Vol 3 (1) ◽  
pp. 56-62
Author(s):  
Débora R. Roberti ◽  
Domenico Anfossi ◽  
Haroldo F. de Campos Velho ◽  
Gervásio A. Degrazia
Keyword(s):  
Emission Rate ◽  
Rate Estimation ◽  
Pollutant Sources

scholarly journals Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation

Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Changmin Cho ◽  
Jason M. St. Clair ◽  
Jin Liao ◽  
Glenn M. Wolfe ◽  
Seokhan Jeong ◽  
...  
Keyword(s):  
Air Quality ◽  
Volatile Organic Compounds ◽  
South Korea ◽  
Organic Compounds ◽  
Emission Rate ◽  
Estimation Method ◽  
Emission Inventories ◽  
Model Calculations ◽  
Rate Estimation ◽  
Volatile Organic

Large industrial facilities, such as petrochemical complexes, have decisive effects on regional air quality: directly due to their own hazardous volatile organic compounds (VOCs) emissions and indirectly due to their contribution to secondary air pollution. In South Korea, pronounced ozone and particulate matter issues have been reported in industrial areas. In this study, we develop a new top-down VOC emission rate estimation method using in situ airborne formaldehyde (HCHO) observations in the downwind plume of the Daesan Petrochemical Complex (DPC) in South Korea during the 2016 Korea–United States Air Quality (KORUS-AQ) mission. On May 22, we observed a peak HCHO mole fraction of 12 ppb after a transport time of 2.5 h (distance approximately 36 km) under conditions where the HCHO photochemical lifetime was 1.8 h. Box model calculations indicate that this elevated HCHO is mainly due to secondary production (more than 90% after 2 h of plume aging) from various VOC precursors including ethene, propene, and 1,3-butadiene. We estimate a lower limit for yearly DPC VOC emissions of 31 (±8.7) × 103 MT/year for HCHO precursors and 53 (±15) × 103 MT/year for all measured primary VOCs. These estimates are 1.5–2.5 times higher than the latest Korean emission inventories, KORUSv5. This method is beneficial not only by tracking the sources, sinks, and evolution of HCHO but also by validating existing emission inventories.

Odor Emission Rate Estimation of Indoor Industrial Sources Using a Modified Inverse Modeling Method

2011 ◽  
Vol 61 (8) ◽  
pp. 872-881 ◽  
Author(s):  
Xiang Li ◽  
Tingting Wang ◽  
Chakkrid Sattayatewa ◽  
Dhesikan Venkatesan ◽  
Kenneth E. Noll ◽  
...  
Keyword(s):  
Inverse Modeling ◽  
Emission Rate ◽  
Modeling Method ◽  
Rate Estimation ◽  
Odor Emission ◽  
Industrial Sources

A review of three software programs for emission rate estimation

1995 ◽  
Vol 14 (4) ◽  
pp. N9-N12 ◽  
Author(s):  
Ashok Kumar ◽  
V. Chigullapalli ◽  
C. Tanna
Keyword(s):  
Emission Rate ◽  
Rate Estimation ◽  
Software Programs

scholarly journals Numerical Simulations of Volcanic Ash Plume Dispersal for Sakura-Jima Using Real-Time Emission Rate Estimation

2019 ◽  
Vol 14 (1) ◽  
pp. 160-172 ◽  
Author(s):  
Hiroshi L. Tanaka ◽  
Masato Iguchi ◽  
◽  
Keyword(s):  
Real Time ◽  
Volcanic Ash ◽  
Emission Rate ◽  
Ground Deformation ◽  
Dispersion Model ◽  
Model Performance ◽  
Danger Zone ◽  
Rate Estimation ◽  
Ash Dispersion ◽  
Ash Fallout

In this study, a real-time volcanic ash dispersion model called PUFF is applied to the Sakura-jima volcano erupted on 16 June 2018 to assess the performance of the new system connected with a real-time emission rate estimation. The emission rate of the ash mass from the vent is estimated based on an empirical formula developed for the Sakura-jima volcano using seismic monitoring and ground deformation data. According to the time series of the estimated emission rate, a major eruption occurred at 7:20 JST indicating an emission rate of 1000 t/min and continued for 15 min showing a plume height of 4500 m. It is observed that we need to introduce an adjusting constant to fit the model prediction of the ash fallout with the ground observation. Once the particle mass is calibrated, the distributions of ash fallout are compared with other eruption events to confirm the model performance. According to the PUFF model simulations, an airborne ash concentration of 100 mg/m3extends to a wide area around the volcano within one hour after the eruption. The simulation result quantitatively indicates the location of the danger zone for commercial airliners. The PUFF model system combined with the real-time emission rate estimation is useful for aviation safety purposes as well as for ground transportation and human health around active volcanoes.

Examination of DIP Accident Rate Estimation Formula by Logistic Regression

2016 ◽  
Vol 2 (06) ◽  
pp. 374-378
Author(s):  
Takaharu Kunizane ◽  
Akira Koizumi ◽  
Toyono Inakazu ◽  
Yasuhiro Arai ◽  
Tetsuji Shitabo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Accident Rate ◽  
Rate Estimation ◽  
Estimation Formula
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