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DISPER software: Air pollution map produced by three different stacks (XZ-plane)
Canarina software for analysis of air pollution in environment: air pollution control, environmental engineering, environmental consultancy service, environment simulation, environmental modeling and environmental impact assessment. Air dispersion software: ISC 124 instability
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DISPER: Air pollution dispersion ˇ DISPER - Solutions - Data - Algorithms - Emissions - Graphs - ISC3 (VOL. 2)
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2.0 THE ISC LONG‑TERM DISPERSION MODEL EQUATIONS
This section describes the ISC
Long‑Term model equations. Where
the technical information is the same, this section refers to the ISC Short‑Term
model description in Section 1 for details.
The long‑term model provides options for modeling the same types
of sources as provided by the short‑term model. The information provided below follows the
same order as used for the short‑term model equations.
The ISC long‑term model
uses input meteorological data that have been summarized into joint frequencies
of occurrence for particular wind speed classes, wind direction sectors, and
stability categories. These summaries,
called STAR summaries for STability ARray, may include frequency distributions
over a monthly, seasonal or annual basis.
The long term model has the option of calculating concentration or dry
deposition values for each separate STAR summary input and/or for the combined
period covered by all available STAR summaries.
Since the wind direction input is the frequency of occurrence over a
sector, with no information on the distribution of winds within the sector, the
ISC long‑term model uses a Gaussian sector‑average plume equation
as the basis for modeling pollutant emissions on a long‑term basis.
