Open AccessDevelopment of a self-calibration method for real-time monitoring of SO2 ship emissions with UV cameras
Author(s) -
Kang Wu,
Yingen Xiong,
Yongqiang Feng,
Yi Yu,
Faquan Li
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.415156
Subject(s) - calibration , optics , transmittance , remote sensing , environmental science , computer science , differential optical absorption spectroscopy , stack (abstract data type) , filter (signal processing) , absorption (acoustics) , power (physics) , point (geometry) , materials science , physics , computer vision , geometry , mathematics , quantum mechanics , programming language , geology
Self-calibration of UV cameras was demonstrated for the first time. This novel method has the capability of real-time continuous calibration by using the raw images at 310 nm and 330 nm without changing the viewing direction or adding any additional equipment. The methodology was verified through simulations and experiments and demonstrated to be of greatly improved effectiveness and accuracy. The errors of self-calibration mothed are estimated by comparison with the differential optical absorption spectroscopy (DOAS) approach, and it can be reduced to 1.8% after filter transmittance corrections. The results show that the self-calibration method appears to have great potential as a future technique for quantitative and visual real-time monitoring of SO 2 emissions from ships and other point sources (such as oil refineries, power plants, or more broadly, any industrial stack) when the field of view (FOV) of the system is not completely covered by the SO 2 plumes.