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DTSTAMP:20240516T165719Z
LOCATION:288-290
DTSTART;TZID=America/Chicago:20240516T102000
DTEND;TZID=America/Chicago:20240516T104000
UID:IOSC_IOSC 2024_sess160_PAPER194@linklings.com
SUMMARY:Advances in plume dispersion modeling using emissions data from an
  Unmanned Aircraft System
DESCRIPTION:Paper\n\nBrian Gullett (US EPA), Fong Ngan (National Oceanic a
 nd Atmospheric Administration (NOAA)), Johanna Aurell (US EPA), Mark Cohen
  (National Oceanic and Atmospheric Administration (NOAA)), Karen Stone (Bu
 reau of Safety and Environmental Enforcement (BSEE)), Josip Adams and Vict
 oria Scholl (USGS), and Chris Owen (USEPA)\n\nAn in situ oil burn plume wa
 s characterized to provide a unique aerial data set for development and ca
 libration of near-source dispersion models. Seven in situ burns (ISBs) wer
 e conducted on a subset of a 1 ha artificial pond. The Alaska North Slope 
 crude oil burn plume was sampled using multiple unmanned aircraft systems 
 (UAS) for emissions and infrared/visible images. Meteorological data for n
 ear-field wind velocity, temperature, and relative humidity with altitude 
 were measured using a balloon-lofted radiosonde. Emissions were sampled wi
 th a multirotor UAS carrying the “Kolibri” sampler which measured time- an
 d spatially-resolved particulate matter of aerodynamic diameter 2.5 µm (PM
 2.5). Emissions data, together with meteorological data and parameters of 
 the oil burn, are being used to evaluate and improve near-source dispersio
 n models. A meteorological simulation using the Weather Research and Forec
 asting (WRF) Model was conducted, assimilating the wind and temperature me
 asurements from a launched radiosonde to provide meteorological fields for
  the HYSPLIT model. This approach reduced the bias in the wind speed and d
 irection prediction from WRF. By using the assimilated meteorological fiel
 ds, the overall behavior of the modelled plume was consistent with the UAS
  measurement. Future analysis will investigate the full suite of experimen
 ts and include quantitative evaluation of the simulated mixing phenomena t
 hrough comparison with UAS measurements. This work will advance dispersion
  modeling predictive capabilities and allow On-Scene Coordinators at emerg
 ency situations to predict plume paths more accurately and protect workers
  and downwind populations from potentially harmful exposures.\n\nTag: Resp
 onse\n\nSession Chair: Thomas Coolbaugh (Applied Research Associates)
URL:https://iosc2024.conference-program.com/presentation/?id=PAPER194&sess
 =sess160
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