TY - GEN
T1 - Stand-off measurement of industrial air pollutant emissions from unmanned aircraft
AU - Gardi, Alessandro
AU - Sabatini, Roberto
AU - Ramasamy, Subramanian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/30
Y1 - 2016/6/30
N2 - This paper investigates the stand-off measurement of atmospheric pollutant concentrations and air quality parameters around industrial complexes. The theoretical investigation considers a robust, accurate and inexpensive measurement system based on tuneable Light Detection and Ranging (LIDAR), calibrated reflectors and imaging systems. The equipment is deployed in two non-collocated components. The source component is installed on board an unmanned aircraft. The sensor component is constituted by a reflector calibrated for reflectance, a rail-mounted infrared camera calibrated for radiance and highly wavelength-selective optics. The system is conceived to perform Differential Absorption LIDAR (DIAL) measurements of selected molecular pollutants and a model-based estimation of aerosol pollutant concentrations by means of suitably developed inversion algorithm. The relevant opportunities and challenges, and the viability of the system in the intended operational environments are discussed. Numerical simulation results show promising performances in term of estimated error budget even in degraded meteorological conditions, which are comparable to the more complex and relatively costly monostatic LIDAR techniques currently available.
AB - This paper investigates the stand-off measurement of atmospheric pollutant concentrations and air quality parameters around industrial complexes. The theoretical investigation considers a robust, accurate and inexpensive measurement system based on tuneable Light Detection and Ranging (LIDAR), calibrated reflectors and imaging systems. The equipment is deployed in two non-collocated components. The source component is installed on board an unmanned aircraft. The sensor component is constituted by a reflector calibrated for reflectance, a rail-mounted infrared camera calibrated for radiance and highly wavelength-selective optics. The system is conceived to perform Differential Absorption LIDAR (DIAL) measurements of selected molecular pollutants and a model-based estimation of aerosol pollutant concentrations by means of suitably developed inversion algorithm. The relevant opportunities and challenges, and the viability of the system in the intended operational environments are discussed. Numerical simulation results show promising performances in term of estimated error budget even in degraded meteorological conditions, which are comparable to the more complex and relatively costly monostatic LIDAR techniques currently available.
UR - http://www.scopus.com/inward/record.url?scp=84979780578&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2016.7502677
DO - 10.1109/ICUAS.2016.7502677
M3 - Conference contribution
AN - SCOPUS:84979780578
T3 - 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
SP - 1162
EP - 1171
BT - 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
Y2 - 7 June 2016 through 10 June 2016
ER -