High- esolu ion simula ion o s ack pollu an emissions
A. Pe ez-Fogue (1), A. Oli e (1), E. Rod íguez (2), J.M. Escoba (2), R. Mon eneg o (2), G. Mon e o (2)
(1) LaCàN, Ma emà ica Aplicada 3, UPC | (2) Uni e si y Ins i u e SIANI, Uni e si y o Las Palmas de G an Cana ia
A h ee-dimensional ai
pollu ion model o
he sho - e m simula ion o emission, anspo and
eac ion o pollu an s is p esen ed. In he ini e elemen simula ion o hese en i onmen al
p ocesses o e a complex e ain, a mesh gene a o capable o adap ing i sel o he opog aphic
cha ac e is ics is essen ial, A local e inemen o e ahed a is used in o de o cap u e he
plume ise. Then a wind ield is compu ed by using a mass-consis en model and pe u bing i s
e ical componen o in oduce he plume ise e ec . Finally, an Eule ian con ec ion-di usion-
eac ion model is used o simula e he pollu an dispe sion.
Abs ac
Algo i hm
1.Cons uc an adap i e e ahed al mesh o he domain
2.Wind ield simula ion om expe imen al o o ecas ing da a
3.Wind ield modi ica ion including he plume ise e ec
4.Ai pollu ion simula ion om s ack emission da a
3D FE Mesh Wind ield
Adap ed o opog aphy
Including punc ual emissa ies 20m
500m
Plume ise and e inemen T anspo - eac ion simula ion
Mesh e inemen o cap u e plume ise
Wind pe u ba ion o ge plume ise
m/s
= 10m = 15m = 30m
We ha e in oduced a new me hodology o sol ing ai pollu ion p oblems o e a complex e ain.
The adap i e h ee-dimensional mesh gene a ion disc e izes domains de ined o e complex
e ains. The mass-consis en model ob ains an ambien wind ield ha akes in o accoun he
complex o og aphy. The local mesh e inemen along he Gaussian plume, allows o pe u b he
ambien
wind
ield
o
in oduce
he
e ec
o
he
pollu an
emissions
The
con ec ion
-
di usion
-
o
nclusions
g/m3
ambien
wind
ield
o
in oduce
he
e ec
o
he
pollu an
emissions
.
The
con ec ion
-
di usion
-
eac ion equa ion ob ains he alues o concen a ion o all he pollu an s.
C
o
A. Oli e , G. Mon e o, R. Mon eneg o, E. Rod íguez, J.M. Escoba , A. Pé ez-Fogue “Adap i e ini e
elemen simula ion o ai pollu ion o e complex e ains ”, submi ed o En i onmen al Modelling
and So wa e (2011)
Re e ences