The Science of the Total Environment, 23 (1982) 97--102 Elsevier Scientific Publishing Company, Amsterdam -- Printed in The Netherlands
97
DAILY FORECASTING OF AIR POLLUTION POTENTIAL
A. JOUKOFF and L.M. MALET Royal Meteorological Institute. Uccle
(Belgium)
ABSTRACT Experimental forecasts performed at the Royal Meteorological Institute of Belgium during the winters 1979-1980 and 1980-1981 are described and analysed.
These
forecasts are b a s e d on the evaluation of an air pollution potential index which uses three important meteorological parameters : wind speed, vertical stability and temperature. These meteorological forecasts combine numerical forecasts at the 850 mbar level with a
semi-climatological scheme giving air temperatures associated with the
air mass characteristics.
The meteorological index is converted into potential
air pollution ievels by means of a relation deduced from a linear regression using SO 2 measurements from the previous winter.
The results of the two seasons of
experimental forecasts are very encouraging.
INTRODUCTION The five largest urban agglomerations of Belgium (Antwerp, Brussels, Charleroi, Ghent and Liege)
are covered by a monitoring network measuring as well air quality
as meteorological parameters.
Every minute this telemetered network issues values
of the different parameters measured by all sampling stations to a regional data reduction centre
(R.D.R.C.) where half-hourly averages are computed.
The five
R.D.R.C. 's send these half-hourly averages to a national data processing centre (N.D.P.C.).
The N.D.P.C. is divided into two parts : the first one is placed
at the Institute of Hygiene and Epidemiology of the Ministery of Public Health and the second at the Royal Meteorological Institute.
One of the principal tasks
of the latter consists in issuing daily forecasts of the air quality potential for the five regions and for the next 24 hours. and analysed in the present paper.
These forecasts are described
They have been transmitted to the public
health authorities during the winter periods 1979-1980 and 1980-1981, from november to march.
They still must be considered as experimental.
Air quality potential
is evaluated by an air pollution potential index based on meteorological parameters only.
0048-9697/82/0000--0000/$02.75
© 1982 Elsevier Scientific Publishing Company
98
THE M E T E O R O L O G I C A L In o r d e r mate
AIR POLLUTION
to a p p r e c i a t e
the air p o l l u t i o n
POTENTIAL
the d i f f u s i v e
level,
developped
combines
three o f the m o s t s i g n i f i c a n t
selected
on the basis
on a routine
are
- 24 h o u r s
ting sources,
the a t m o s p h e r i c
temperature,
and v e r t i c a l
in urban
pollutants
and to esti-
potential
of studies
meteorological
dispersion
ther d i f f i c u l t mbar
areas
parameters
reliability.
index
(refs.
(MPI)
i-5).
which
It
can be
The three p a r a m e t e r s
determines
layers,
of the p o l l u t a n t s .
of the p r e v i o u s l y This
thickness,
to a dry a d i a b a t i c
i n d e x s u s e d in p r a c t i c e
the s t r e n g t h
of d o m e s t i c
the h o r i z o n t a l
transport
hea-
of
;
to predict. layer
determines ;
v, w h i c h
of low a t m o s p h e r i c
an i n d e x s in place
according
number
a sufficient
T, w h i c h
w i n d speed,
stability
700-1OO0
basis with
dominant
average
- vertical
of a certain
of the a t m o s p h e r e
air p o l l u t i o n
:
average
- 24 hours
capacity
a meteorological
has b e e n
forecasted
INDEX
This
determines
stability
used mixing height
i n d e x is a function
H, a n d the t h i c k n e s s
lapse
is
which
rate
is c h a r a c t e r i z e d
(ref.
5) w h i c h
surface
layer
by
is ra-
of the ratio b e t w e e n H d for this
for the same
the h o r i z o n t a l
the
calculated
conditions.
The
: Hd s = I0-~-9
The MPI has
the
following
form
25 - T MPI
:
v
Such a purely accumulation Thus
meteorological
and the p o s s i b l e
it r e p r e s e n t s
METEOROLOGICAL
neity
48 a n d 72 h o u r s
the d e t e r m i n a t i o n forecasts.
model.
on the basis
w i n d speeds.
region
pollutant
to another.
level e.g.).
and further
directions
shows
air p o l l u t i o n
derive
o v e r Belgium.
of m e t e o r o l o g i c a l
The use of one m o d e l
of the i n i t i a l
Our experience
to d e s c r i b e
than the 500 m b a r
layer m e a n t e m p e r a t u r e and w i n d
the p o s s i b l e
f r o m one
of air pollution.
has b e e n p e r f o r m e d
using a m a t h e m a t i c a l
are the m o s t a d e q u a t e
dients
take i n t o a c c o u n t
of p o l l u t a n t s
due to the fact t h a t no m o d e l is p e r f e c t
as r e g a r d s
sentative
does
advection
local p o t e n t i a l
forecasting
as p r e d i c t e d
dangerous
index
s
FORECASTING
Meteorological maps
the
I/2
; however conditions
t h a t maps potential
F r o m these
maps,
only may be
it g a r a n t e e s leading
homoge-
to the
24,
at the 850 m b a r level evolution one
surface
level maps
Pressure
gradients
(more
can r e a d
repre-
7OO-10OO
giving pressure are c o n v e r t e d
gra-
into
mbar
99 Wind directions climatological
are u s e d to e s t i m a t e
method
(based on ref.
tics of the air mass.
F r o m these
extreme
temperature
by means
6) g i v i n g daily e x t r e m e s
extremes,
it is p o s s i b l e
o f a semi-
from the c a r a c t e r i s -
to e v a l u a t e
24-hours
mean
temperature. Due to the scale o f the maps, r e a d i n g a c c u r a c y is l i m i t e d to -I a b o u t I m.s for the w i n d s p e e d and to 5 degrees for the w i n d d i r e c t i o n in m o s t cases.
%~nis a c c u r a c y
account
the
r e a d i n g of H rature
During
ness
fitness.
(7OO-1OO0 m b a r
and pressure
brought
thickness)
the s e c o n d e x p e r i m e n t a l
in e v a l u a t i n g
The o u t p u t the
: revised
gives
rological
TABLE
only and does n o t take
index
s is e v a l u a t e d
forecasted
results
values
into
from d i r e c t
of surface
tempe-
some i m p r o v e m e n t s
d a t a and a c o r r e c t i o n procedure
forecasters
each
6 hours
corrections
has b e e n
implemented
work.
a n d an i n t e r a c t i v e
in the temperature.
from the c o m p a r i s o n
have b e e n
for c l o u d i -
of observed
procedure
A first correc-
and computed
va-
U.T.
are s u m m a r i z e d
i n t o account),
parameters
season,
forecasting
the
values
to i n t r o d u c e
12 hours
(taking a t o l e r a n c e
The
to facilitate
interpolated
forecasters
Forecasting
and the
forecasting
the temperature.
computer
for O, 6 and
the r e a d i n g stability
climatological
tion is p r o v i d e d b y the p r o g r a m lues
with
Vertical
(giving Hd).
to the m e t h o d
in the N.D.P.C.
allows
is a s s o c i a t e d
forecast
a n d their
in table
i, g i v i n g
underestimates
combination
the n u m b e r
and overestimates
of successes for e a c h meteo-
MPI
1
Forecastinq
results
(%1
Parameter
Tolerance
T
2°
v
2 m.s
s
O.I
MPI
: meteoroloqy
-I
5 (+)
Good a b a b a b a b
a : 1979-1980 ; b : 1980-1981. (+) 5 units MPI c o r r e s p o n d to a b o u t
Except values
for the cases w h e n
followed
the o b s e r v e d respectively.
rather well
and forecasted
66 78 73 76 75 87 71 79
Under
11 6 19 21 7 10 19 6
22 15 7 3 18 4 10 15
2 5 / ~ g . m -3 S O 2 / 2 4 h
the n u m e r i c a l the o b s e r v e d values
Over
in Brussels.
forecasting
ones.
for the MPI
Fig. during
failed,
1 gives
the
forecasted
the s c a t t e r p l o t o f
the two c o n s i d e r e d w i n t e r s
100
WINTER
1979-1980
WINTER
1980-1981
50
! 27
[
::
i
!
:: i
i
" i
i
, : ...... i ...... i ...... i ...... i...... i...... ! ~ : : : : : : :/~ i :
i :
i :
i ~
i :
i ! ....... i ....... [ .....................
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i
.!'/i -:
:
i
/i
i
40
i i..3~/.~i.i I
:/: .~
: i"
i
: i
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::
: i
!--~---.-it--.---~
......
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PMi / 3/
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:
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i i
~......
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~......
::............
i
15
i
i
21
i : 27
i~, ~
/[
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i
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[;A%.?
. i
..'c.J ....... i ....... ',.......
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.....
i
i
i
I
:
: 33
:
: 39
0
i 10
~
i
i
!
i
i
20
30
40
PMi(F)
I. S c a t t e r plots of o b s e r v e d
(MPI) vs f o r e c a s t e d
(MPI
(F)) values of MPI
POTENTIAL AIR POLLUTION FORECASTING MPI values can be c o n v e r t e d to e x p e c t e d p o t e n t i a l air p o l l u t i o n levels in ~g.m
-3 o f SO 2 (24h mean)
"
i .....
PMI(F)
Fig.
i/:: :
i .i: !~i-"~
i i ~ ....
i ii
i
....... i ......
,o
; i i i i
,~'~"I! 'i.i
i / !/ : "/:: ....... !//{
i ...... i P: ...... " .... ~. :/ i .
21
is
.! .............
in o r d e r to give a more e x p l i c i t p i c t u r e of the s i t u a -
tion ; this can e a s i l y be u s e d by p u b l i c h e a l t h authorities. D u r i n g the first e x p e r i m e n t a l winter,
this c o n v e r s i o n has b e e n done simply
by m u l t i p l y i n g the MPI by a factor d e t e r m i n e d for each urban area from p r e v i o u s w i n t e r observations. D u r i n g the s e c o n d winter,
linear r e g r e s s i o n s b a s e d on o b s e r v a t i o n s p e r f o r m e d
during the first w i n t e r h a v e b e e n used.
C o m p a r i s o n b e t w e e n the f o r e c a s t e d p o t e n -
tial air p o l l u t i o n and o b s e r v e d SO 2 c o n c e n t r a t i o n s is s u m m a r i z e d in table 2. H i g h p o l l u t i o n p e r i o d s have been f o r e c a s t e d w i t h success, h o w e v e r concentrations c a n n o t be f o r e c a s t e d a c c u r a t e l y due to the c o n c e p t i o n o f the MPI itself, as n e i t h e r a c c u m u l a t i o n n o r t r a n s p o r t are i n c l u d e d in the method.
The p u r p o s e
of this m e t h o d is to c h a r a c t e r i z e the d i f f u s i o n conditions and only those source e f f e c t s w h i c h are due to d o m e s t i c heating.
50
101
TABLE 2 F o r e c a s t i n g results U r b a n area
(%) c o n c e n t r a t i o n s Good
Brussels
a b a b a b a b a b
Antwerp Liege Ghent Charleroi
(+ 20%) 33 37 41 39 37 55 45 49 38 51
Over
(42)(+) (46) (53) (43) (61) (70) (57) (46) (41) (54)
13 51 24 48 5 10 20 26 26 21
Under
(28) (23) (21) (23) (18) (18) (16) (23) (33) (24)
54 12 35 13 58 35 35 25 37 28
(31) (31) (26) (34) (20) (12) (27) (31) (27) (33)
a : 1979-1980 , b : 1980-1981 (+) Figures b e t w e e n b r a c k e t s r e p o r t a p o s t e r i o r i f o r e c a s t i n g uslng f o r e c a s t e d MPI b u t a l i n e a r r e g r e s s i o n b e t w e e n o b s e r v a t i o n s for the same winter.
CONCLUSIONS The simple e s t i m a t i o n o f the p o t e n t i a l air p o l l u t i o n in B e l g i u m for two years p r o v e d to be o p e r a t i o n a l to w a r n p u b l i c h e a l t h a u t h o r i t i e s quality
for daily f o r e c a s t i n g in o r d e r
a b o u t the p o s s i b l e d e t e r i o r a t i o n o f the air
24 or 48 h o u r s in advance.
The m e t h o d o f f o r e c a s t i n g the p o t e n t i a l air
p o l l u t i o n d e v e l o p p e d at the R o y a l M e t e o r o l o g i c a l
Institute of B e l g i u m and daily
u s e d d u r i n g two w i n t e r s has given e n c o u r a g i n g results. tings w e r e correct,
When numerical
forecas-
i.e. in m o s t o f the cases, MPI was g e n e r a l l y w e l l estimated.
It appears thus p o s s i b l e
to f o r e c a s t the diffusive c a p a c i t y of the atmospher~
and to e s t i m a t e p o t e n t i a l air p o l l u t i o n available
that has b e e n e x p e r i m e n t e d
at a w e a t h e r office.
from routine s y n o p t i c forecastings
SO 2 c o n c e n t r a t i o n s
an i n d i c a t i o n of the air quality.
c o m p u t e d from. the MPI give
It is to b e n o t e d that the MPI takes o n l y into
a c c o u n t the d i s p e r s i o n c o n d i t i o n s and p o l l u t a n t p r o d u c t i o n due to d o m e s t i c h e a ting sources.
B a c k g r o u n d p o l l u t i o n a n d i n d u s t r i a l sources are i m p l i c i t e l y taken
into a c c o u n t b y the c o n v e r s i o n m e t h o d pollutants
; h o w e v e r t r a n s p o r t and a c c u m u l a t i o n of
are n o t i n c l u d e d in this scheme, p r i m a r i l y d e s i g n e d for urban areas.
Even w h e n p a r t i c u l a r y u n f a v o u r a b l e m e t e o r o l o g i c a l conditions exist, lution e p i s o d e only occurs if source s t r e n g t h is sufficient.
an air pol-
The MPI m u s t be
c o n s i d e r e d as an i n d i c a t o r o f the a t m o s p h e r i c d i f f u s i o n c a p a b i l i t y and o f p o l l u tant p r o d u c t i o n due to m e t e o r o l o g i c a l c o n d i t i o n s
(heating d u r i n g very cold periods)
It c o n s t i t u t e s a simple b u t e f f e c t i v e tool for daily f o r e c a s t i n g o f the p o t e n tial air p o l l u t i o n .
102
REFERENCES i. B, Bringfelt, Atmosph. Environ., 5 (1971) 949-972. 2. D.M. Elsom and T.J. Chandler, Atmosph. Environ., 12 (1978) 1543-1554. 3. H. van Dop, A.P. van Ulden and W.R. Raaff, Scientific report, W.R. 75-4, K.N.M.I. (1975) De Bilt. 4. M.E. Berlyand, Present Topics in atmospheric diffusion and air pollution (in russian), chap.12 (1975) Leningrad. 5. L.M. Malet and A. Joukoff, W.M.O. Symposium on boundary layer physics applied to specific problems of air pollution W.M.O. n°510 (1978) , 135-141. 6. A. Bodeux, Approche d'une esquisse climatologique des types de temps en Belgique, I.R.M., Publ. s4rie A n ° 2 (1972).