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Sensors 2017, 17(2), 231; doi:10.3390/s17020231

Emission Flux Measurement Error with a Mobile DOAS System and Application to NOx Flux Observations

1
Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
3
School of Environmental Science and Optoeclectronic Technology, University of Science and Technology of China, Hefei 230026, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Jason K. Levy
Received: 15 December 2016 / Revised: 18 January 2017 / Accepted: 19 January 2017 / Published: 25 January 2017
View Full-Text   |   Download PDF [3705 KB, uploaded 25 January 2017]   |  

Abstract

Mobile differential optical absorption spectroscopy (mobile DOAS) is an optical remote sensing method that can rapidly measure trace gas emission flux from air pollution sources (such as power plants, industrial areas, and cities) in real time. Generally, mobile DOAS is influenced by wind, drive velocity, and other factors, especially in the usage of wind field when the emission flux in a mobile DOAS system is observed. This paper presents a detailed error analysis and NOx emission with mobile DOAS system from a power plant in Shijiazhuang city, China. Comparison of the SO2 emission flux from mobile DOAS observations with continuous emission monitoring system (CEMS) under different drive speeds and wind fields revealed that the optimal drive velocity is 30–40 km/h, and the wind field at plume height is selected when mobile DOAS observations are performed. In addition, the total errors of SO2 and NO2 emissions with mobile DOAS measurements are 32% and 30%, respectively, combined with the analysis of the uncertainties of column density, wind field, and drive velocity. Furthermore, the NOx emission of 0.15 ± 0.06 kg/s from the power plant is estimated, which is in good agreement with that from CEMS observations of 0.17 ± 0.07 kg/s. This study has significantly contributed to the measurement of the mobile DOAS system on emission from air pollution sources, thus improving estimation accuracy. View Full-Text
Keywords: DOAS; spectrophotometer; mobile measurements; emission flux; error; NOx DOAS; spectrophotometer; mobile measurements; emission flux; error; NOx
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MDPI and ACS Style

Wu, F.; Li, A.; Xie, P.; Chen, H.; Hu, Z.; Zhang, Q.; Liu, J.; Liu, W. Emission Flux Measurement Error with a Mobile DOAS System and Application to NOx Flux Observations. Sensors 2017, 17, 231.

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