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Table of Contents - The Atmospheric Studies Group at TRC

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Section 1: Introduction<br />

CALPUFF contains algorithms for near-source effects such as building downwash, transitional plume<br />

rise, partial plume penetr<strong>at</strong>ion, subgrid scale terrain interactions as well as longer range effects such as<br />

pollutant removal (wet scavenging and dry deposition), chemical transform<strong>at</strong>ion, vertical wind shear,<br />

overw<strong>at</strong>er transport and coastal interaction effects. It can accommod<strong>at</strong>e arbitrarily-varying point source<br />

and gridded area source emissions. Most <strong>of</strong> the algorithms contain options to tre<strong>at</strong> the physical processes<br />

<strong>at</strong> different levels <strong>of</strong> detail depending on the model applic<strong>at</strong>ion.<br />

<strong>The</strong> major fe<strong>at</strong>ures and options <strong>of</strong> the CALPUFF model are summarized in <strong>Table</strong> 1-2. Some <strong>of</strong> the<br />

technical algorithms are briefly described below.<br />

Dry Deposition: A full resistance model is provided in CALPUFF for the comput<strong>at</strong>ion <strong>of</strong> dry deposition<br />

r<strong>at</strong>es <strong>of</strong> gases and particul<strong>at</strong>e m<strong>at</strong>ter as a function <strong>of</strong> geophysical parameters, meteorological conditions,<br />

and pollutant species. Options are provided to allow user-specified, diurnally varying deposition<br />

velocities to be used for one or more pollutants instead <strong>of</strong> the resistance model (e.g., for sensitivity<br />

testing) or to by-pass the dry deposition model completely.<br />

Wet Deposition: An empirical scavenging coefficient approach is used in CALPUFF to compute the<br />

depletion and wet deposition fluxes due to precipit<strong>at</strong>ion scavenging. <strong>The</strong> scavenging coefficients are<br />

specified as a function <strong>of</strong> the pollutant and precipit<strong>at</strong>ion type (i.e., frozen vs. liquid precipit<strong>at</strong>ion).<br />

Chemical Transform<strong>at</strong>ion: CALPUFF includes options for parameterizing chemical transform<strong>at</strong>ion<br />

effects using the five species scheme (SO 2 , SO = 4, NO x , HNO 3 , and NO − 3) employed in the MESOPUFF II<br />

model or a set <strong>of</strong> user-specified, diurnally-varying transform<strong>at</strong>ion r<strong>at</strong>es.<br />

Subgrid Scale Complex Terrain: <strong>The</strong> complex terrain module in CALPUFF is based on the approach<br />

used in the Complex Terrain Dispersion Model (CTDMPLUS) (Perry et al., 1989). Plume impingement<br />

on subgrid scale hills is evalu<strong>at</strong>ed using a dividing streamline (H d ) to determine which pollutant m<strong>at</strong>erial<br />

is deflected around the sides <strong>of</strong> a hill (below H d ) and which m<strong>at</strong>erial is advected over the hill (above H d ).<br />

Individual puffs are split into up to three sections for these calcul<strong>at</strong>ions.<br />

Puff Sampling Functions: A set <strong>of</strong> accur<strong>at</strong>e and comput<strong>at</strong>ionally efficient puff sampling routines are<br />

included in CALPUFF which solve many <strong>of</strong> the comput<strong>at</strong>ional difficulties with applying a puff model to<br />

near-field releases. For near-field applic<strong>at</strong>ions during rapidly-varying meteorological conditions, an<br />

elong<strong>at</strong>ed puff (slug) sampling function is used. An integr<strong>at</strong>ed puff approached is used during less<br />

demanding conditions. Both techniques reproduce continuous plume results exactly under the appropri<strong>at</strong>e<br />

steady st<strong>at</strong>e conditions.<br />

Wind Shear Effects: CALPUFF contains an optional puff splitting algorithm th<strong>at</strong> allows vertical wind<br />

shear effects across individual puffs to be simul<strong>at</strong>ed. Differential r<strong>at</strong>es <strong>of</strong> dispersion and transport occur<br />

1-24

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