Stochastic predictor of air pollution based on short-term meteorological forecasts

Journal Article · Sun Feb 01 04:00:00 EST 1981 · J. Appl. Meteorol.; (United States)

DOI:https://doi.org/10.1175/1520-0450(1981)020<0121:ASPOAP>2.0.CO;2· OSTI ID:6413763

Bacci, P; Bolzern, P; Fronza, G

This paper illustrates a stochastic model of sulphur dioxide dispersion around a power plant. Precisely, the model describes the diurnal dynamics of a variable taken as representative of ground-level pollution (ivz., the 2 h Dosage Area Product (DAP) in the sector of prevailing pollutant fallout). Model exogeneous inputs are power generated from the plant (regarded as an indirect measure of the emission), wind direction, and a properly defined atmospheric stability class, which depends on total radiation since sunrise, wind speed and Pasquill category at the end of the previous night.

• Research Organization: ENEL, Centro Ricerche Termiche e Nucleari, Milano, Italy
• OSTI ID: 6413763
• Journal Information: J. Appl. Meteorol.; (United States), Journal Name: J. Appl. Meteorol.; (United States) Vol. 20:2; ISSN JAMOA
• Country of Publication: United States
• Language: English

Related Subjects

500400* -- Environment
Atmospheric-- Thermal Effluents Monitoring &amp; Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
AIR POLLUTION
CHALCOGENIDES
FORECASTING
MATHEMATICAL MODELS
METEOROLOGY
OXIDES
OXYGEN COMPOUNDS
POLLUTION
POWER PLANTS
RECURSION RELATIONS
STOCHASTIC PROCESSES
SULFUR COMPOUNDS
SULFUR DIOXIDE
SULFUR OXIDES
WIND