title: Locating pollutant emission sources with optical remote sensing measurements and an improved one-dimensional radial plume mapping technique.
abstract: Previous studies have shown that there was a relatively large amount of uncertainty along the major wind direction in the results of locating emission sources using the one-dimensional radial plume mapping (RPM(1D)) technique based on optical remote sensing measurements. This paper proposes setting up an additional monitoring line that is perpendicular to the original scanning beam geometry to reduce this uncertainty. We first conducted a computer simulation study using the Gaussian dispersion model to generate the downwind concentrations of plumes from 400 source locations in a 201 m × 201 m spatial domain under various wind directions (n = 181). The optical remote sensing instrument was assumed to be at (0, 0) with two perpendicular monitoring lines, each of which had three beam segments of equal length. Each pair of the reconstructed downwind concentration profiles was then used to trace back to the source locations. The results showed that the accuracy of the method and its uncertainty were improved by using the proposed two-line RPM(1D) approach rather than the original one-line RPM(1D) approach at most simulated source locations. In a follow-up field experiment, a tracer gas was released at the coordinate of (100, 100). The release location was covered within the 0.25- to 0.5-probability area of the estimated results, and the distance between the actual and estimated source locations was 18.4 m (9.2% of the longest beam path).
authors.affiliation: Department of Public Health, National Taiwan University, Taipei 100, Taiwan. changfu@ntu.edu.tw
authors.forename: Chang-fu
authors.initials: CF
authors.lastname: Wu
authors.forename: Shih-Chun
authors.initials: SC
authors.lastname: Lin
authors.forename: Cheng-Kai
authors.initials: CK
authors.lastname: Yeh
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D001272:Atmosphere / Q000737:chemistry; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D008956:Models, Chemical; D058998:Remote Sensing Technology; D014887:Weather
chemical_list: D000393:Air Pollutants