A real-time emergency response workstation using a 3-D numerical model initialized with sodar

Conference · Thu Jan 28 04:00:00 EST 1993

OSTI ID:10167007

Lawver, B S; Sullivan, T J ^[1]; Baskett, R L ^[2]

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1. Lawrence Livermore National Lab., CA (US)
2. EG&G Energy Measurements, Inc., Pleasanton, CA (US)

Many emergency response dispersion modeling systems provide simple Gaussian models driven by single meteorological tower inputs to estimate the downwind consequences from accidental spills or stack releases. Complex meteorological or terrain settings demand more sophisticated resolution of the three-dimensional structure of the atmosphere to reliably calculate plume dispersion. Mountain valleys and sea breeze flows are two common examples of such settings. To address these complexities, the authors have implemented the three-dimensional diagnostic MATHEW mass-adjusted wind field and ADPIC particle-in-cell dispersion models on a workstation for use in real-time emergency response modeling. MATHEW/ADPIC have shown their utility in a variety of complex settings over the last 15 years within the Department of Energy`s Atmospheric Release Advisory Capability (ARAC) project. The models are initialized using an array of surface wind measurements from meteorological towers coupled with vertical profiles from an acoustic sounder (sodar). The workstation automatically acquires the meteorological data every 15 minutes. A source term is generated using either defaults or a real-time stack monitor. Model outputs include contoured isopleths displayed on site geography or plume densities shown over 3-D color shaded terrain. The models are automatically updated every 15 minutes to provide the emergency response manager with a continuous display of potentially hazardous ground-level conditions if an actual release were to occur. Model run time is typically less than 2 minutes on 6 megaflop ({approximately}30 MIPS) workstations. Data acquisition, limited by dial-up modem communications, requires 3 to 5 minutes.

• Research Organization: Lawrence Livermore National Lab., CA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 10167007
• Report Number(s): UCRL-JC--111416; CONF-930140--4; ON: DE93016534
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
540120
99 GENERAL AND MISCELLANEOUS
990200
AIR POLLUTION MONITORING
ATMOSPHERIC CIRCULATION
CHEMICALS MONITORING AND TRANSPORT
CLIMATE MODELS
COMPLEX TERRAIN
DATA ACQUISITION
DATA ACQUISITION SYSTEMS
EMERGENCY PLANS
GEOGRAPHY
GROUND LEVEL
MATHEMATICAL MODELS
MATHEMATICS AND COMPUTERS
METEOROLOGY
REAL TIME SYSTEMS
RESOLUTION