E F F E
C
TO
FS
I Z E D IST R I B U T I
O
N I N ES
T IM
A T I NG
b, , t, bs c at, a n d babs F RO
M
A TM
O SPH
E R I C P O L L U T A N TM
E A SU R EM
E N TS
B y
A l p
M
. Ref ikDepa rtme nt of En vir o nme ntal Scie n c e s a nd Engin e e ring
Scho ol of Pub l ic He alth
Univ e r sity of No rth Ca r ol in a at C hapel H i l l
C hapel H i l l, No rth Ca r ol in a 27 5 9 9
A B ST R A C T
Co ef f icie nts of e xtin ctio n, s c at te ring, a nd abs o rptio n a r e c alc ulated u sin g a n a rbritr atry
siz e d istri butio n a nd p h ysic al a nd chemic al a e r o s ol data fr om the Inte r age n cy
M
o nito ring of Pr ote cted Vis u al En vir o nme nts(
IM
PR OV E)
a nd the Ea ste r n F in e Pa rtic ulate V isi b i l ity Netwo rk(
EFP VN)
data systems. Calc ulated r e s ults a r e c o m pa r ed with the me a s u r ed v alu e s u sin g l in e a r r egr e s sio n a n al ysis a nd c o r r elatio n c o ef fi cie nt. T he r e s ults fr om both data s ets ind ic ate that fairl y a c c u r ate(
+ 50 %) e stimate s of the c o ef f icie nts a r e po s sib le whe n the siz e distributio n is in the r a nge of me a n d iamete r 0.2-0
.4 with ge ometr ic sta nda rd de viatio n 1.2
A
C K
NO
W
L E DG
M
E N T SI wa nt to tha nk Pr ofe s s o r Reist, my advis o r, w ho s e v alu ab le guida n c e a nd patie n c e made m y wo rk po s sib le. I owe spe cial tha nks t o (n ot in a ny pa rtic ula r o rde r);
Dr. Fr a n cis B inkow sk i o f the U S E P A fo r h is hel p in obtaining the A R E S
pr ogr am,
A ir
Q
u al ity Gr o up at the Univ e r sity of Cal ifo r nia-Da vis fo r the I
M
P R OV E data Iused in my w o rk a nd fo r its fu nd ing, the Natio n al Pa rk Se r v ic e, US Depa rtme nt of Inte rio r
Ji m Sisle r of Color ado State Univ e r sity-Fo rt Col l in s fo r the s c at te rin
g data u s ed in
con
j
u n ctio n with the IM
P R O V E dat aT om E l le n stad, Ga rdn e r Ev a n s, a nd
W
illiamW
i ls o n fo r their hel p in obtaining theEFPV N data u s ed in the study
Pete r H
M
cM
u r ry of Univ e r sity ofM
in n e s ota fo r h is help in obtaining datas o u r c e s a nd l ite r atu r e fo r my stud y.
And fi n all y, I wo uld l i ke to tha nk m y r e ade r s D r Da v i d Leith a n dT om El le n stad w ho as
r e ade r s pr o vi ded v alu able s ug ge stio n s in r efi nin g my wo rk.
Fu nd in g fo r th is pr o
j
e ct wa s r e c eiv ed fr om T he United State s En vir o nme ntal Pr ote ctio n A ge n c y,W
a sh ingto n , D. C.(
Grant # 5-3 549 6
T
A
B L EO
FC O
N T E N TS
L IST OF F I G U R E S 3
L I S T O F T A B L E S 4
1.0 I N T R ODU C T I O N: 5
2.0 B A CK G R O U N D: 7
3.0
M
I E A R E S P R O G R AM
: 1 14.0
M
E T H O D O L O G Y A N D D E S C R I P T I O N O F T H E D A T A SE T S U S E D : 184.1 Ea s t e r n Fi n e Pa r t i c u l a t e Vi sro i L i T Y N e two r k
(
E F P V N)
: 1 84.2 In t e r a g e n c y
M
o n i t o r i n g o f Pr o t e c t e d V i s u a l En v i r o n me n t s(
IM
P R OV E)
: .. 194.3
M
e t h o d o l o g y : 215.0 R E S U L T S A N D D I S C U S SI O N: 2 3
5.1 RE SU L TS:. 23
5 1 1 Re s u l t s f o r I
M
P R O V E D a t a: 2 45 1.2 Re s u l t s F O R E F PV N Da t a: 26
5.2 DIS C U SSIO N: 29
5.2. 1 T h e Ab s o r p t i o n Co E FH C BEN T: 2 9
5 2.3 EF F E C T O F Si z e D i s t r i b u t i o n o n Es t ima t i n g Ex t i n c t i o n a n d Sc a t t e r i n g
c o e f hc i e n t s : 32
5 2.4 Ot h e r Fa c t o r s t h a t
M
a y Ef f e c t Ac c u r a c y o f t he Es t ima t e s o f t h ec o e fhc i e n t s: 3 6
5.3 RES U L T S A N D D I S C U S SI O N F O R T H E
M
O D I F I E D I N P U T DAT AC O NT A I N I N G N O A
M M
O N I UM
M
A SS: 3 85.3. 1 RE S U L T S f o r I
M
P ROV E Da t a(
WI T H O U T T H E A m mo n i umM
a s s): 3 95.3.2 RE S U L T S f o r E FP V N Da t a
(
W
it h o u t T H E A m mo n i umM
a s s)
: 425 3.3 Di s c u s s i o n : 46
6.0 C O N C L U SI O N S: 4 9
7.0 R E C O
M
M
E N D A T I O N S F O R A D D I T I O N A L R E S E A R C H : 5 1R E F E R E N C E S: 5 2
A P P E N D I X 1
L I
S
TO
F F IG U
R E SF igu r e 1. Compa r is o n of Babs v s, E C
M
(IM
P R O V E Da ta Set)
2 9F igur e 2. Compa r is o n of Babs v s. E C
M
(
E F P V N Data Set)
3 0Figur e 3. G r ad ien t of B
e xt v s.
M
e a n D ia mete r(
IM
P R O V E Data Set) 3 3F i gur e 4. Gr ad ien t of Bs c at v s.
M
ea n D iamete r(
IM
P R O V E Data Set)
3 3F i gu r e 5. G r ad ien t of Be xt v s.
M
e an D iamete r(
E F P V N Data Set)
3 4F i gur e 6. Gr ad ien t of Bs c at v s.
M
e a n D iamete r(
E F P V N Data Set)
34F i gur e 7. Gr ad ien t of Bext v s.
M
e an D iamete r(
IM
P R O V E Data Set"
with No
Am mo n ium
M
a s s" ) 4 7F i gur e 8. Gr ad ient of Bs c atvs.
M
e a n D iamete r(
IM
P R O V E Data Set"
with No
Am monium
M
a s s")
47Figur e 9. Gr ad ient of B ext v s.
M
e an D iamete r(
E F P V N Data Set"w i
th No
Am monium
M
a s s")
4 8F igu r e 10. G r ad ie n t of B^ c at vs.
M
e an D iamete r(
E F P V N Data Set"
with No
L I
S
TO
F TA
B L ES
Tab le 1. I
M
P R O V E Data Re sults 25Tab le 2. E F P V N Data Re sults 27
Tab le 3. I
M
P R O V E Data Re sults(
"
w ith No A m monium
M
as s")
4 1T able 4. E F P V N Data Res ults ( "
1.0 I N T R
O
DU C
T IO N
:V isi b i l ity i m pairme nt is o n e of the mo st ap pa r e nt ef fe cts of air pollutio n . V isibi l it y
r edu ctio n may a ris e du e to n atu r al a nd /o r ma n-made s o u r c e em issio n s a nd ma
y be
inte n si fi ed b y mete o r olog ic al effe cts. Extin ctio n of l i g ht (s c at te ring a nd abs o rptio n) b y
fi n e pa rticle s is the ma
j
o r c a u s e of visi b il ity r edu ctio n. Extin ctio n c o effi cie nts of l i g ht inthe atmosp here ha v e be e n u s ed to qu a ntitativ el y desc ri be the vis u al r a nge in the
atmo sp he r e D ir e ct me a s u r eme nts of s c at te ring a nd abs o rptio n c o ef fi cie nts c o ul d be
made u sing n ep helomete rs and tr a n sm iss omete r s. Howe v e r, it is als o po s si b le to e stimate
the s e c o ef ficie nts u sing M ie the o ry c alc ulatio n s a s a fu n ctio n of a e r o s ol ma s s ba s ed o n
tr a c e pol luta nts in the atmo sphe r e.
Fin e pa rticle s in the s o-c al led a c c umulatio n mode
(
0. 1- 1
.0 |i m
)
str o n gl y infl u e n c evisibi l ity r edu ctio n . T he pa rticle r emo v al me c ha nisms in the atmo sphe r e a r e le a st
ef fi cie nt fo r pa rticle s in th is siz e r a nge. T he r efo r e, atmo sp he ric pa rticle s te nd to
a c c umulate in th is siz e r a nge he n c e, the n ame. Pa rticle s in th is siz e r a n ge a r e the mo st
eff icie nt s c at te r e r s pe r u nit ma s s. T he chem ic al c om po sitio n of pa rticle s a nd the r elativ e
humi d ity of the ambie nt atmo sp he r e a r e im po rta nt fa c to r s in visib i l ity degr adatio n.
Kn owled ge of c o n c e ntr atio n of s ulfate s fo r s c at te ring a nd c a rbo n fo r abs o rption is
T here are a n um be r of stud ie s in the l ite ratu re
(
Hasa n and Dzubay, 19 8 3; Ou i mette, 19 8 2;S lo a n e, 19 83;Slo a n e a nd
W
olff, 1985; Elde ring a nd Ca s s, 19 94;Z ha ng, et al., 199 4) that
use
M
ie the o ry (M
ie, 190 8)c alc ulatio n s to e sti mate e xtin ctio n a nds c at te ring c o ef ficie ntswh ich the n c a n be c om pa r ed t o me a s u r ed v alu e s. In al l of the s e stud ie s a signi fica nt
amo u nt of ef fo rt wa s put into obtaining the siz e d is tri butio n of the am b ie nt a e r osol
A ltho ugh s ome im pr o v eme nts in obtaining siz e d is tri butio n data ha v e be e n a ch ie v ed, it
sti l l r emain s a c om p lic ated a nd e x pe n siv e ta sk to c ol le ct siz e d istri butio n data. T he r efo r e,
the s e studie s c o ul d o nl y be c o ndu cted fo r brief pe riods du ring the o v e r all lo n g-t e
rm
stud ie s of am b ie nt atmo sp he ric c o n d itio n s.
In the pa st te n ye a r s a n umbe r of databa s e s ha v e be e n ge n e r ated that c o ntain the n e c e s s a ry
data fo r
M
ie the o ry c alc ulatio n s of e xtin ctio n, with the e x c eptio n of siz e d istributio n .S in c e it is w el l a c c epted that a e r o s ol pa rticle s in the a c c umulatio n mode a r e r e spo n si b le
fo r the mo s t visi b i l ity degr adatio n, a nd sho rt te rm stud ie s whe r e in v e sti gato r s dete rm in ed
the siz e d is tributio n fo r the s am ple a e r o s ols ha v e show n that siz e distri butio n s w ith in this
r a n ge a r e usu al ly fo u nd, it wa s the o riz ed that it mig ht be po s si b le to ide nti fy a n a e r o s ol
siz e distributio n wh ich c o uld be u niv e r s al l y u s edto cha r a cte riz e al l a e r o s ols in com puting
e xtin ctio n, s c at te rin g, a nd abs o rptio n c o ef fi cie nts.
T h is wo rk a n aly s e s a n um be r of databa s e s to obtain data s uitab le fo r
M
ie the o ryc alc ulatio n s. Usin g the c ol le cted data
, e xtin ctio n, s c at te rin g, a nd abs o rptio n c o ef f icie nts
a r e e sti mated a nd the n c om pa r ed to the me a s u r ed v alu e s of the e xtin ctio n, s c at te ring, a nd
2.0 B A
C K G
RO U N
D :V isi b i l ity r edu ctio n is a r e s ult of abs o rptio n a nd s c at te ring of l ight b y ga s mole c ule s a nd
pa rticle s in the atmo sp he r e . A ltho ug h abs o rptio n of c e rtain wa v ele ngths of visi b le
r ad iatio n c a u s e s atmo sphe ric c olo r atio n , by fa r l i g ht s c at te rin g is the mo r e impo rta nt
p he n ome n o n r e spo n si b le fo r i m pairme nt o f visi b i l ity.
L i g ht s c at te rin g r efe r s to the defle ctio n of dir e ctio n of tr a v el of l i g ht by airbo r n e mate rial.
V isibil ity r edu ctio n o c c u r s whe n the r e is si gnifi c a nt s c at te ring of l ight by a e r o s ols
betw e e n the ob
j
e ct a nd the obs e r v e r. Atmo sp he ric pa rticle s s c at te r visi b le l i g ht fr om thes u n a nd othe r pa rts of the sk y thr o ug h the l in e of si g ht of the obs e r v e r cha ng ing the
c o ntr a st betwe e n the ob
j
ect a nd its ba ck gr o u nd. Th is c ha nge of c o ntr a st is pe r c eiv ed a sdete rio r atio n of visi b i l ity by the obs e r v e r
W
itho ut c o ntr a st the obj
e ct b le nds into theba c kgr o u nd, be c omin g in visi b le
(
Reist, 19 9 3)
.T he ef fe cts of atmo sp he ric c o n stitu e nts o n visi b i l ity r edu ctio n c a n be in v e sti gated b y
mak in gc e rtain sim p l i f ying a s s um ptio n s. C o n side r a bla ck ob
j
e ct (o n e that r ef le cts n ol ight)being view ed again st a n i de al w h ite ba ckgr o u nd, a homoge n e o u s atmo sphe r e s u ch
that the s c at te ring a nd abso rptio n of l ight is the s ame a ny whe r e betw e e n the obs e r v e r a nd
the ob
j
e ct, a u ni form sky bri g htn e s s betwe e n the obj
e ct a n d the obs er v e r, a nd a ho riz o ntalviewing d ista n c e sho r t e noug h that e a rth '
defi n ed a s the r elativ e d i f fe r e n c e betwe e n the lig ht inte n sity of the ob
j
e ct a nd theba ck gr o u nd w he n view ed at a dista n c e, X fr om the ob
j
e ct. The c o ntr a st isg iv e n b y
C
(
x)
=/b
(
x)- /o(x )w he r e /„ (j c) a nd /„ (x ) a r e the inte n sitie s of th
e ba ckgr o u nd a n d the ob
j
e ct, r e spe ctiv elyW
he n the inte n sitie s of the obj
e ct a n d the ba ckgr o u nd a r e equ al, the c o ntr a st is z e r oind ic ating that the ob
j
e ct is in visi b le. In o u r si m p l i f ied model fo r a b la ck obj
e ct again st awh ite ba ck gr o u nd, whe n X = 0 (at the ob
j
e ct)
the inte n sity of the obj
e ct is /„(
x )= 0 sin c e
the ob
j
e ct is b la c k a nd abs o rbs al l the visi ble r ad iatio n in ci de nt o n it. T he n C(0)= 1,ind ic atin gthat the ob
j
e ct is pe rfe ctl y visi b le. T he inte n sity of l i g ht wh ich appe a r s toc ome fr om the ob
j
e c t /„(x) w i l l cha n ge w ith d ista n c e be c a u s e of l i g ht s c at te ring o rabs o rptio n by pa rticle s a nd ga s e s alo ng the path betwe e n the ob
j
e c t a nd obs e r v e r Thefr a ctio n al r edu ction in /
„ c a n be e x pr e ssed a s,
w he r e b
^^^
a nd b^^ ^, a r e the c o ef fi cie nts of abs o rptio n a nd s c at te rin g, r e spe ctiv el y The
b^i, ^dx r epr e s e nts the d if fe r e ntial inte n sity betwe e n the ba ckgr o u nd a nd the ob
j
e ct lo st byabs o rptio n, wh i le b^ ^ ^ ^dx r epr e s e nts the d i f fe r e ntial inte n sity lost b y s c at te ring of l i ght o ut
of the l in e of si g ht of the obse r v e r. Co ef ficie n ts of abs o r ptio n a nd s c at te ring a r e u s u al l y
indepe nde nt o f viewing d ist an c e, X . Howe v e r, they a r e depe nde nt o n a e r o s ol
c o n c e ntr atio n . To c om p lete the def initio n of /
„ , we n e ed to in clude the ef fe ct of the
c o ul d be r epr e s e nted a s, V i„ {x)dx w he r e b
'
is a c o n sta nt.
W
ith the ad ded v a riab le, n etcha n ge in ob
j
e ct inte n sity is g iv e n b yBa ckgr o u nd inte n sity is indepe nde nt of X a nd g iv e n by the fol low ing e x pr e s sio n;
T h is equ atio n show s that V = b , + b Thu s cha nge in co ntr a st is g iv e n b y
d C (x)= - (b , + b )C{x )dx
abs s c at
Integr ating th is equ atio n giv e s the Ko s chmei de r equ atio n a nd shows a n e xpo n e ntial
de c r e a s e in c o ntr a st w ith d ista n c e, X .
- {b
. + b )x
C{x )= e « *^ ^ ' ^ "^
T he s c at te ring c o eff icie nt, b , a c c o u nts fo r both the s c at te ring du e to atmo sp he ric
ga s e s a nd the s c at te ring du e to a e r o s ol pa rticle s. Simi la rl y, abs o rptio n c o effi cie n t, b , ,
a c c o u nts fo r abs o rptio n by both atmosp he ric ga s e s a nd a e ros ols
W
ith the e x c eptio n ofa nd extr emel y cle a n atmo sphe r e, s c at te ring a nd abs o rptio n coef f icie nts a r e domin ated b y
partic ulate s c at te ring. The s c at te ring b y atmo sp he ric mole c ule s ha s a m inimal ef fe ct,
howe v e r, it l i m its the ma x i mum vis u al r a nge fo r a b la ck ob
j
e ct viewed o n a w h ite ba ckgr o u nd to 1 0 0-300 km (H inds 19 82)
Ae r o s ols in siz e r a n ge s c om pa r able to the w a v ele ngths of visi b le l ight ha v e be e n show n
t o be r e spo n si b le fo r v isi b i l ity degr adatio n . A s the wa v elengths of visi b le l i g ht spa n fr om
shown to be mo st ef fi c ie nt s c at te r e r s pe r u nit ma s s. Fo r th is siz e r a nge the
M
ie the o ry ofr ad iatio n s c at te rin g c a n be u s ed to dete rmin e v alu e s of i»
,^ „ , .
Extin ctio n c o ef f icie nt, b , is def in ed a s the s um of the abs o rptio n a nd s c at te ring
c o ef ficie nts. It is po s sib le to r elate vis u al r a nge to e xtin c tio n c o ef f icie nt b y a s s u ming a
v alu e fo r the c o ntr a st in the abo v e equ atio n . Fo r the sim p l i f ied c a s e o f v iew ing a bla ck
ob
j
e ct in a white ba ckgr o u nd, a n a v e r age obs e r v e r is a c c epted to be able to s e e a n obj
e ctwith a c o ntr a st v alu e of 2 pe r c e nt. Using th is a s s um ptio n, the equ atio n showin g the
e x po n e ntial de c ay of c o ntr a st w ith d ista n c e c o ul d be s olv ed y iel d ing a n equ atio n fo r
visu al r a nge
3.91 2
X =
b ^
e x t
wher e, X , n ow r epr e s e nts the vis u al r a nge. T hu s the vis u al r a n
ge c a n be e xpr e s s ed in
terms of a n e xtin ctio n c o ef fi cie nt, b . As e v i de nt fr om the equ atio n , the u nit of b is
e xt ^ e xt
r e c i pr o c al of d ista n c e, s u ch a s m
"'
(Seinfeld, 19 82;
M
id d leto n , 1 952;W
ag go n e r, et al.3.0
M
I E- A R E S P R O
G
R AM
:
The
M
ie-A R E S pr ogr am wa s u s ed in calc ulating the c o ef f icie nts of e xtin ctio n , s c at teri ng,
a nd abs o rptio n fo r th is stu d y. T he
M
ie-A R E Spr ogr am is a c om bin atio n of the
M
ie c odea nd the A R E S
(
AeRo s ol E qui l i brium System)
pr ogr am The AR E S pr ogr am is a n up dateto the o ri g in al
M
A R S(M
odel fo r a n A e r o s ol Re a cting System)pr ogr am(
B inkow sk i,19 9 5). T hu s, the M ie
-A R E S pr ogr am is an up date of the o ri g in al Mie-
M
A R S pr ogr am
de s c ri bed b y
W
i ls o n a nd Reist (19 94)
.The A R ES c ode is ba s ed o n the MA R Sc ode a nd the S CAPE c ode
(
Binkowsk i, 19 9 5).MA R S pr ed icts the qu a ntity a nd the c om po sitio n of s e c o nda ry atmo sp he ric a e r o s ols
c o ntainin g sul fate, nitr ate, a nd am m o nium c om po u nds. C hemic al c om po sitio n of
multi p ha s e a e r os ols c o ntaining wate r, (NH 4)2S 0 4, NH4HS O4, (NH4)3H(S 0 4)2, H2S O4,
H N O3, N H4N O3 is pr edicted by a the rmodyn amic appr o a ch (Sa x e n a, et al 19 86). T he
MA RS pr ogr am is c om putatio n al l y in e xpe n siv e a s its tr e atme nt of inte rfa cial equili bria
fo c u s e s o nl y o n ma
j
o r c ompo n e nt s, thu s m ini m izingthe equ atio n s to be s olv ed. T he r ea r e othe r models with ri go r o u s the rmodyn am ic r o utin e s but they a r e c om putatio n al l y
e x pe n siv e and the
M
AR S pr o gr am ha s be e n shown to pr odu c e c om pa r ab le r e s ults(
Sa x e n a, et al, 19 8 6; K i m et al 19 9 3)
. A mo r e detai led de s c ri ptio n of theM
A R Sa ndS CA PE pr ogr ams a r e pr o vi ded in a rticle s by Sa x e n a, et al
(
19 8 6) a nd K i m, et al (19 9 3)
.T he AR ES pr ogr am u s e s chem ic al a nd p hysic al a e r o s ol data s u ch a s s u l fate s
(
S 04"^
s et to be u s ed in the M ie c ode fo r c om putin g Mie v alu e s T he A RE Sc ode c alc ulate s
c om po sitio n of a s ul fate, nitr ate, am mo nium, a nd wate r a e r o s ol ba s ed o n equi li brium
the rmod yn amic s. T he A RE S c ode c o n si de r s tw o r e
g ime s depe nd ing o n the mola r r atio of
am mo nium to s ul fate Fo r the mola r r atio s of le s s tha n two , the c ode s olv e s a c ub ic fo r
the hydr oge n molal ity . In this mode, the nitr ate s a r e a s s umed n ot to be pr e s e nt whe n
molal io nic str e ngths a r e gr e ate r tha n 5 0 o r nitr ate s a r e c alc ulated i f s u f fi c ie nt ammo nium
a nd l iquid w ate r is pr e s e nt. Fo r mola r r atio s of two o r gr e ate r, al l s ulfate is a s s umed to be
ammo nium s ul fate a nd the ammo nium nitr ate is c alc ulated to dete rmin e its pr e s e n c e
(
Binkow sk i, 19 9 5)
.T he
M
ie c ode u s ed in the pr ogr am c om pute s the Mie v alu e s. Fo r theM
ie the o ryc alc ulatio n s a s et of the o r etic al log-n o rmal siz e d istri butio n s w
e r e u s ed In the s e
c alc ulatio n s the a e r o s ol wa s a s s umed to be at its fi n al siz e distributio n afte r chem ic al
r e a ctio n s a nd the a cquisitio n of w ate r. Fo r a lo g
-n o rmal d istri butio n the ge ometric me a n,
d
g, a nd ge ometric sta nda rd de v iatio n , Og, a r e c ho s e n a nd 15 d is c r ete siz e inte r v als
c om puted s u ch that abo ut 9 9 pe r c e nt of all pa rticle s a r e in cluded
(
the tai ls at eithe r e nd ofthe d istri butio n a r e n egle cted
)
A spr e ad fa cto r, s, is defi n ed by;s = o
t
8 lowe st
a nd a fa cto r,
/
, is def in ed a s;15 ^ ^
T he n , the up pe r siz e of e a ch inte r v al is s u c c e s siv el y dete rm in ed a c c o rd ing to;
d = d, e x p
f
f)
up p e r low e r ^ ^ ^
with the a v e r age siz e defi n ed a s;
d
d + d,
up pe r low e r a vg
For the n e xt inte r v al the up pe r siz e be c ome s the low e r siz e. The fr a ctio n of pa rticle s, n,
in a siz e inte r v al is g iv e n b y;
d + d,
up p e r lo w e r
d * l
n
\
a\
* -y/
2na vg I g '
-e x p - In
d
y 8 J
2 ^
2 1n ^ a
Usin g the abo v e equ atio n a nd the equ atio n fo r da v
g the fr a ctio n al n umbe r of pa rticle s in a
siz e inte r v al c a n be dete rm in ed alo ng w ith the a v e r age d iamete r fo r that siz e inte r v al fo r a
g iv e n dg a nd <3 g.
E lemental Ca rbo n
M
ass(
ECM)
, Sul fu rM
a ss(
SM )
,M
e a s u r ed Co ef f icie nt o f Sc at te ring,a nd M e a s u r ed Co ef f icie nt of Abs o rptio n.
T he
M
ie-A R E S pr ogr am is c om b in ed w ith a s epa r ate code that pr epa r e s the r aw input
data g iv e n abo v e to be u s ed by the AR ES pr ogr am a n d intr o du c e s the v a riab le s c alc ulated
by the AR E Spr ogr am to the
M
ie c ode. To ap p l y the abo v e l isted a e r o s ol mo nito ring datato the
M
ie-A RE S pr ogr am, it wa s n e c e s s a ry to make a s et of a s s u m ptio n s a nd
c alc ulatio n s. Using the s e a s s um ptio n s, a n input f i le wa s ge n e r ated fo r the A R E S
pr ogr am. The s e a s s um ptio n s a nd c alc ulatio n s a r e s umma riz ed below :
a
)
Orga nic Ca rbo nM
as s(
O CM
) is giv e n b y;O C
M
= TCM
- ECM
In this a s s um ptio n total c a rbo n ma s s wa s c o n side r ed to be made up of o rga n ic
a nd eleme ntal c a rbo n ma s s e s.
b
)
Sul fateM
a s s(
S O^M
)is giv e n by;S O^
M
=t
SM
)
In this c alc ulatio n al l of the s ul fu r
(
3 2 g/mole)
ma s s is a s s umed to bec o ntain ed in s ul fate
(9 6 g / m
ole) fo rm. A s the r e is o n e mole of s ul fu r in e a chs ulfate mole c ule, the n ba s ed o n their mole c ular w ei g hts, the ma s s of Sul fate
c
)
A mmoniumM
a s s(
AM )
is giv e n b y;A
M
= TAM
- T CM
- S O^
M
In this case total a e r o s ol ma s s is a s s umed to be made of ammo nium, c a rbo n,
a nd s ul fate s. T he r efo r e, we c a n dete rmin e the am mo nium mass by kn owin g
thr e e of the fo u r v a riable s (Reist, 19 9 5).
d
)
If the r e s ultin g am mo nium ma s s is le s s tha n z e r o the n ammo nium ma s s is s etto z e r o.
e
)
I f the sul fu r ma s s is gr e ate r tha n z e r o the n theM
ole Ratio( M
R A TIO )is g iv e nby;
M
RA T IO = AM
/ 18y
S O^M
/ 9 6T h is ra tio is c alc ulated to dete rmin e the r elativ e amo u nts of ammo nium a nd
sul fate pr e s e nt in the total a e r o s ol ma s s.
f
)
I fM
R A T IO is gr e ate r tha n 2 the n AM
is g iv e n b y;S O
M
A
M
=(
2)(
18)
—
^
I f the r e a r e mo r e tha n two mole s of am mo nium pe r mole of sul fa te the n
fr om the abo v e fo rmula th is is e stab l ished b y multi p l y ing the mole s of s ulfate
by the mole c ula r w ei g ht of am mo nium (18 g/ mole
)
a nd a fa cto r of tw og
)
In e rt M a s s (/M
)is giv e n by;I
M
= T AM
- SO ^M
- A
M
In e rt ma s s is a s s umed to be c a rbo n ma s s a nd a ny othe r fr a ctio n of the a e r o s ol
u n a c cou nted fo r by the s ul fate a nd the ammo nium ma s s e s.
h
)
If IM
is gr e ate r tha n z e r o , r e al{
R I R)
a n dimagin a ry{
R I I)
r efr a ctiv e indic e sa r e giv e n by ;
E C
M
^R I R ^
(
IM
- EC
M
\ ^2
-V I
M
(
ECM \
R I I =
I
IM
J
T he r e al a nd the i magin a ry r efr a ctiv e ind ic e s a r e ba s ed o n a n e stimated
in o rga nic mate rial r efr a ctiv e inde x
(
1 5) a nd the c a rbo n r efr a ctiv e inde x(
2+ i)In e sti mating the r e al r efr a ctiv e inde x the in o rga nic mate rial fr a ctio n of the
in e rt ma s s is multipl ied b y the in o rga nic mate rial r efr a ctiv e inde x a nd the
c a rbo n fr a c tio n of the in e rt ma s s is multipl ied b y the r e al pa rt of the c a rbo n
r efr a ctiv e inde x. In e sti matin
g the i m ag in a ry r efr a ctiv e inde x the c a rbo n
fr a ctio n of the in e rt ma s s is multip l ied by the i mag in a ry pa rt of the c a rbo n
And, In e rt De n sity , p . , is giv e n by;
, ^ IM
- E CM - O CM\ f
^ E CM + O CM
P,
= 2 5 + 2
I
{
IM J{
IMIn e rt de n sity is ba s ed o n the de n sity of s a nd (2.5 g/c c) a nd the de n sity of
c a rbo n (2 g /c c
)
. T o e sti mate the in e rt de n sity , the in o rga nic fr a ctio n of thein e rt ma s s is multi p lied by the de n sity of s a nd a ndthe c a rbo n fr a ctio n is
4.0
M
E TH
O D O L O G Y A ND
D E S C RI P T IO N OF TH
E D A T A SE T SU
SE D
:A signifi c a nt amo u nt of am bie nt data o n a e r o s ol c o n c e ntr ation s a nd c om po sitio n a nd
visi b i l ity r elated pa r amete rs ha s be e n obtain ed by a v a riety of pub l ic a nd priv ate studie s
As a r e s ult the r e n ow e xists a bod y of data in clud ing h isto ric al data w h ich mi g ht be u s ed
to de v elop a c c u r ate pr ed ictio n s of the r elatio n sh ip betw e e n pol lutio n tr e nds a nd visi bi lity.
Fo r th is pr o
j
e c t, w e u s ed s ev e r al databa s e s that c o ntain ed the n eces sa ry v a riab le s fo rc omputatio n. Fo l lowing is a brief de s c ri ptio n of the databa s e s u s ed:
4.1 Ea ste r n F in e Pa r tic u la te V isib i l ity Netwo rk
(
E FP VN)
:The E F PV N is a U SEPA spo n s o r ed ef fo rt to a cquir e lo ng te rm, r egio n al ly
-s c aled
visi bihty a nd f me pa rticle mo nito ring data in the e a ste r n United St ate s
M
o nito ring datafo r the E F P VN we r e gathe r ed at fi v e mo nito ring statio n s. T he s e mo nito rin g statio n s we r e
lo c ated at Ho rto n Statio n , V irg inia; Pe r ryvi lle, Ke ntu cky; Lo ok Ro ck, Te n n e s s e e; Itha c a,
New Y o rk; a nd
Q
u ab in Summit, Ma s s a chu s et ts.M
o nito ring in str ume ntatio n, s am p l ingmetho dolog y, a nd a n al ysis te chni qu e s we r e cho s e n to pr o v ide r epr e s e ntativ e
me a s u r eme nt s of visu al r a nge a nd f in e pa rticle s c at te ring, abs o rptio n, a nd c om po sitio n
L i g ht s c at te ring me a s u r eme nts we r e obtain ed by n ep helometry. F in e pa rticle abs o rptio n
c o ef fi cie nts we r e dete rm in ed u sing integr ating p late a n alysis o n depo sits c ol le cted o n
Tefl on filte rs. Tefl o n filters we r e gr a vi metric al l y a n al yz ed fo r fine
pa rtic ulate ma s s. X
c om po sitio n. F in e eleme ntal a nd o rga nic c a rbo n c o n c e ntr atio n s o n qu a rtz fibe r fi lte r s
w ere a n al yz ed b y a the rmo
-optic al method. In ad d itio n to the s e data
, ambie nt
tempe r atu r e a nd humi d ity data we r e pr o vi ded. Fo r the data ba s e the data integrity a nd
qu al ity w a s ind ic ated b y a v al i datio n sy stem w h ich f lag ged e a ch data e ntry a c c o rd ing l y.
T he E F P V N data fo r 198 8
-8 9 we r e a v ai lable fr om the E P A . T he data we r e pr o vi ded in
A SCn fo rmat a nd we r e divi ded into thr e e data fi le s : dai ly, qu a rtz f i lte r, a nd Tef lo n f i lte r
data. In o rde r to obtain a c om plete s et of pa r amete r s fo r o u r c alc ulatio n s we n e eded
v a riable s fr om e a ch data f i le. In ma ny in sta n c e s o n e o r two v a riable s we r e mis sing o r
we r e n ot me a s u r ed fo r a g iv e n day T h is r e s ulted in in c om p lete data fo r that g iv e n day.
T he r efo r e, we w e r e ab le to obtain o nl y 55c omp lete data points fo r the f iv e mo nito ring
statio n s Th is data s et is pr o vi ded in A p pe nd ix A .
4.2 In te r agen cy
M
on ito ring of
Pr ote cted Vis u al En vir o n me n ts(
IM
P R O V E)
:T he I
M
PR O V E pr ogr am is u s ed by T he Natio n al Pa rk Se r vic e (NPS)
a nd othe r Fede r alL a nd
M
a n age r s to pr ote ct the visibil ity in C la s s I a r e a s. Visi b i l ity is pr ote c ted by theCle a n A ir A ct in Cla s s I a r e a s
, w hich c o v e r mo st of the n atio n al pa rks a nd wi l de r n e s s
a r e a s The I
M
P R O V E pr ogr am in clude s the cha r a cte riz atio n of ha z e b y p hotogr ap h y, theme a s u r eme nt o f optic al e xtin ctio n with tr a n sm is s omete r s a ndn ep helomete r s, a nd
me a s u r eme nt of the c om positio n a nd c o n c e ntr atio n o f the fi n e pa rticle s that pr odu c e the
s am p le r ha s fou r s am p l ing module s : A, B, a nd C c ol le ct f in e pa rticle s
(
< 2.5 |i m), a nd D
c ol le ct s P
M
I O(
< 10.0 )i m)
, pa rticle s a nd S O2 ga s. In th is stud y the r ele v a nt data a r e
pr o v i ded b y the A a nd C module s.
M
odule A is the prima ry Teflo n fi lte r pr o vi d ing mo stof the fi n e pa rticle data, s u ch a s gr a vimetric total ma s s, s ul fu r ma s s, a nd c o ef fi cie nt of
abs o rptio n
(
L a s e r Integr ating P lateM
ethod)
.M
odule C, w ith ta n dem qu a rtz fi lte r s,
me a s u r e s o rga nic a nd eleme ntal c a rbo n (T he rmal Optic al Refl e cta n c e Method).
T he I
M
P ROV E data we r e obtain ed u sing the inte r n et fi le tr a n sfe r pr oto c ol (F T P) fr omtwo s epa r ate s o u r c e s. The chemic al c ompo sitio n a nd physic al a e r o s ol data a r e c om pi led
by the Univ e r sity of Califo r nia-Da v is
. T he s c at te ring me a s u r eme nts b y n ep helometr
y a r e
c ol le cted a nd c om p i ledb y Colo r ado State Univ e r sity at Fo rt Col lin s. T he chemic al a nd
p h ysic al a e r o sol data pr o vi ded b y Univ e r sity of Cal i fo r nia-D
a vis a r e 2 4-h
o u r s am p le s
take n tw ic e-w
e ek l y (
W
edn e sday a n d Satu rday of a giv e n w e ek), wh i le the s c at te ringc o ef fi cie nt data obtain ed fr om Colo r ado State a r e ho u rly s am ple s c ol le cted e v e ry day.
T h is r equir ed the a v e r ag in g of the ho u rl y s c at te ring c o ef fi cie nt v alu e s to obtain a dai l y
a v e r age s c at te rin gc o ef fi cie nt. A ls o, s c at te ring data w e r e fi lte r ed to obtain o nly the
W
edn e sday a nd Satu rday v alu e s to match w ith the a v ai lab le chemic al a nd physic al data.A ltho ug h, chem ic al c om position data wer e a v ai lab le fo r ye a r s a s fa r ba ck a s the 19 8 0s,
s c at te ring data b y n ep helometry w e r e a v ai lable fo r o nl y the pa st 3 ye a r s. T her efo r e
, we
we r e fo r c edt o u s e the data fo r the r e c e nt ye a r s. T he r e we r e als o s ome m is sin
g a nd
ou r a n al ysis. In spite of al l the s e fa c to r s we w e r e ab le to obtain 154 data points fr om the
I
M
PROV E sy stem.T he I
M
PR OV E data is c olle cted at n ume r o u s lo c atio n s thr o ug ho ut the U S. How e v e r, fo ro u r study, 4 lo c atio n s w e r e u s ed to obtain the input data. T he s e lo c atio n s w e r e Gr e at
Smok y
M
o u ntain s Natio n al Pa rk (at L o ok Ro ck), T e n n e s s e e (8 4 data points); M ammothCa v e Natio n al Pa rk
(
at Oz o n eM
o nito ring Site)
, Ke ntu ck y (18 data points); A c ad iaN atio n al Pa rk
(
at Pa rk He adqu a rte r s), M ain e (35 data points); a nd D ol l y SodsW
i l de r n e s s(
at Be a rde n Kn ob)
,W
e st V irg inia(
17 data points)
.4.3
M
ethodolog y:T he data obtain ed fr om the abo v e s o u r c e s we r e u s ed in the
M
ie-A R ES pr ogr am to
e s ti m ate e xtin ctio n c o ef f icie nts. Esti mated c o ef fi cie nts we r e c om pa r ed to the me a s u r ed
c o ef ficients A matrix of sta nda rd de v iatio n a nd me a n d iamete r w a s u s ed a s the siz e
d istri butio n data in the
M
ie-A RES pr ogr am. T h is matrix wa s de v eloped to c o ntain the
a c c umulatio n mo de a e r o s ols w h ich a r e b lamed fo r ma
j
o rity of the atmo sphe ric visi b i l ityr edu ction.
A 3X 6 ma t rix c o ntainin gs ta nda rd de v iations of 1 2, 1.5, 1.8a nd me a n pa rticle d iamete r s
of 0. 1, 0.2, 0.3, 0.4, 0.5, a n d 0.7 we r e u s ed a s the siz e d istributio n fo r the Mie
-A RE S
T he e xtin ctio n, s c at te ring, a nd abs o rptio n c o ef fi c ie nts c alc ulated u sing the s e siz e
d istri butio n s we r e c ompa r ed to me a s u r ed v alu e s. T he c ompa ris o n w a s a c c om pl ished b y
pe rfo rm ing l in e a r r egr e s sio n a n al ysis o n the obtain ed data a nd dete rmining w h ich siz e
distributio n r e s u lted in c o ef fi cie nts clo s e st to the me a s u r ed v alu e s. T h is methodolog y
allow ed u s to statistic al l y dete rm in e the be st e stimate of the me a s u r ed v alu e s.
Afte r the abo v e de s c ri bed a n al ysis, the r e s u lts of o n e of the siz e dis tributio n s w e r e fu rthe r
stud ied. T he data we r e br oke n dow n into d i f fe r e nt s egme nts s u ch a s r elativ e hum id it y,
lo c atio n , total a e r o s ol ma s s, a nd s ulfu r ma s s, to a n al yz e the ef fe cts of s u ch fa cto r s. Fo r
th is study I
M
P RO V E data we r e pr efe r r ed du e to the l i mited n umbe r of data points in theE F P VN data.
In ad d itio n , the effe cts of the pr e s e n c e of am mo nium ma s s in the total a e r o s ol ma s s w a s
stud ied F o r th is stud y the o ri g in al s et of data we r e modi fi ed n ot to c o ntain the
ammo nium m a s s in the a n al ysis. T h is way it wo ul d be po s si b le to c om pa r e the ef fe ct of
am mo nium m a s s in the a e r o s ol a nd its ef fe ct o n the e xtin ctio n, a nd s c at te ring
5.0 R E
S
U L TS
A N D D IS
C US S
IO
N :5.1 R ESU L TS:
T he r e s ults fo r the I
M
P R OVE a nd E F P V N data s ets u s ed in o u r pr oj
e ct a r e a n alyz edbelow . T he c alc ulated e xtin ctio n (b
^^ ,
)
, s c at te ring (&,^ ^ ,
)
, a nd abs o rptio n (Z)^^^ )
c o ef fi c ie nts a r e c ompa r ed to the me a s u r ed v alu e s u sing l in e a r r egr e s sio n a n al ysis. Fo r
e a ch siz e d istributio n , a gr adie nt fo r the me a s u r ed v e r s us the c alc ulated v alu e s a nd a
squ a r e of s amp le c o r r elatio n c o efficie nt (R
)
a r e c alc ulated S qu a r e of s amp le c o r r elatio nc o ef f icie nt is a qu a ntitativ e me a s u r e of the impr o v eme nt in fi t of the l in e a r r egr e s sio n l in e
by the u s e of the indepe nde nt v a riable (fo r o u r stud y indepe nde nt v a riab le is the me a s u r ed
c o ef f icie nt a nd the depe nde nt variab le is the c alc u lated co ef f icie nt). T hu s, the R
^
me a s u r e s the str e ngth of the l in e a r r elatio n sh i p betwe e n the indepe nde nt a nd the
depe nde nt v a riable in the s e n s e that it g iv e s the pr opo rtio n ate r edu ctio n in s um of the
squ a r e s of v e rtic al de viatio n s obtain ed u sing the le a st
-squ a r e s l in e r elativ e to the me a n .
T he R v alu e c a n r a nge betwe e n 0 a nd 1 T he la rge r the v alu e of R ^
, the gr e ate r the
r edu ctio n in s um of the squ a r e s a nd str o nge r the l in e a r r elatio n sh ip betwe e n the
5.1.1 Re s u lts
f
o r IM
P R O VE Data :T ab le 1 shows the c alc ulated gr ad ie nt a nd c o r r elatio n c o ef f icie nt v alu e s fo r e a ch siz e
d istributio n u s ed in e sti mating b
^ ^ , , b^ ^ ^ , , Z?^^^ fo r the I
M
P ROV E data. T he R^
v alu e s fo r
Z7„
, r a nge fr om 0.7 9 2 to 0.8 4 0, w h i le the gr ad ie nt v alu e s r a nge fr om 0.8 29 to 5.2 0 3. T he
R^ v alu e s fo r b
^^^, r a nge fr om 0 7 8 6 to 0.8 2 2
, w h i le the gr adie nt v alu e s r a nge fr om 0.76 8
to 6. 14 7. T he R
^
v alu e s fo r Z?
^^^ r a nge fr om 0 4 49 to 0.60 3, w h i le the gr ad ie nt v alu e s
r a nge fr om 1 499 to 2.4 5 5.
A c c o rd in gto the s e r e s ults, the be st ( + 5 0 % de viatio n fr om gr ad ie nt of u nity) es ti mate of
b^^ is obtain ed w he n the fol lowing siz e d istri butio n s a r e u s ed:
Me a n Diamete r Std. De viatio n Gr ad ie nt = M/C R
^
0 4 1.2 0.82 9 0 8 3 4
0.5 1.2 0.8 85 0.8 3 0
0.3 1.2 0.920 0.838
0.3 1.5 0.9 7 9 0.8 34
0.2 1.5 1.0 2 5 0.8 3 8
0.4 1.5 1. 1 33 0.8 3 8
0.2 1.8 1. 146 0.8 32
0.1 1.8 1.2 34 0.8 3 9
0.7 1.2 1.3 3 6 0 8 2 0
0.5 1.5 1.4 2 2 0.8 2 4
0.2 1.2 1.4 4 8 0 8 40
T
ab
l
e1
.I
M
P R O
V E D
a taR
e s ul t
sBe xt Valu e s fo r I M P R OVE Data Bs c at Valu e s fo r I M P R O VE Data Babs Valu e s fo r I M P R O V E Data
MD 0 1 0 1 0 1 0 2 0 2 0 2 0 3 0 3 0 3 0 4 0 4 0 4 0 5 0 5 0 5 0 7 0 7 0 7 SD 1 2
Gr ad=M / C
5 2 0 3
2 1 2 7
1 2 3 4
1 4 4 8
1 0 2 5
1 1 4 6
0 9 2 0
0 9 7 9
1 4 9 4
0.8 2 9
1 1 3 3
1 9 6 9
0 8 8 5
1 4 2 2
2 5 1 0
1 3 3 6
2 2 4 0
3 7 6 8
R^
0 7 9 2
0 8 3 7 0 8 3 9
0 8 4 0
0 8 3 8
0 8 3 2
0.8 3 8
0.834
0.8 2 9
0 83 4
0 8 2 8
0.8 2 7
0.8 3 0
0 8 2 4
0.8 2 7
0 8 2 0
0 8 2 4
0 8 2 4
M D 0 1 0 1 0 1 0 2 0 2 0 2 0 3 0 3 0 3 0 4 0 4
0.4
0 5 0 5 0 5 0 7 0 7 0 7 SD 1 2 5 8 2 5 8 2 5 8 2 5 8 2 5 8 2 5 8
Gr ad=M/C
6 1 4 7
2 1 3 5
1 1 7 3
1.4 0 0
0.9 6 2
1 0 8 8
0 8 5 8
0 9 1 7
1 4 5 2
0 7 6 8
1 0 7 6
1 9 7 3
0 8 2 3
1 3 8 0
2 5 9 5
1.2 9 3
2.3 0 7
4 1 2 5
R^
0 8 2 2
0 8 1 8
0 8 1 3
0 8 1 7
0.8 1 1
0 8 0 3
0 8 1 1
0 8 0 6
0 7 9 9
0 8 0 6
0 7 9 7
0 7 9 4
0 8 0 0
0.7 9 3
0.7 9 4
0 7 8 6
0 7 9 1
0 7 9 0
M D 0 1 0 1 0 1 0 2 0 2 0 2 0 3 0 3 0 3 0 4 0 4 0 4
0.5
0 5 0 5 0 7 0 7 0 7 SD 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Gr ad=M / C
2 2 9 4
1 9 2 4
1 6 5 0
1 6 8 0 1 5 5 4
1 5 8 1
1 5 1 0
1 5 2 1
1 725
1.4 8 4
1 5 6 8
1 8 8 6
1 4 9 9 1 6 5 1
2.0 5 4
1 5 8 3
1.8 5 3
2.4 5 5
R^
0.4 4 9
0.4 8 6
0 5 0 8
0 4 7 6 0 5 1 8
0.5 6 8
0 5 1 0
0.5 4 9
0 5 8 5
0 5 3 6
0 5 7 5
0.6 0 3
0 5 5 6
0 5 8 6
0 6 0 0
0 5 8 6
0 5 9 4
T he be st e stimate
(
+ 50 % de viatio n fr om gr ad ie nt of u nity) of b^^^ v alu es c a n be
obtain ed u sing the fol low ing the siz e d istributio n s :
Me a n D iamete r Std. De viatio n Gr ad ie nt = M/ C R
^
0.4 1.2 0 76 8 0 80 6
0.5 1.2 0.8 2 3 0.8 0 0
0.3 1.2 0.858 0.811
0.3 1.5 0 9 17 0 8 0 6
0.2 1.5 0 9 6 2 0 81 1
0.4 1.5 1.0 76 0.7 97
0.2 1.8 1.0 8 8 0.8 0 3
0 1 1 8 1.1 73 0.81 3
0 7 1 2 1.29 3 0.786
0.5 1.5 1.3 80 0
.7 9 3
0.2 1.2 1.40 0 0.8 17
0.3 L8 1 4 5 2 0.79 9
T he be st e stimate (+ 5 0 % de viatio n fr om gr adie nt of u nity
)
of b^^^ v alu e s c a n be
obtained u sin g the fol lowingthe siz e d istri butio n s :
M
e a n D iamete r Std De viatio n Gr ad ie nt =M
/C R^0.4 1.2 1.4 8 4 0.5 36
0 5 1.2 1.49 9 0.5 5 6
5. 1.2 Re s u lts
f
o r E F P VN Data :Table 2 shows the c alc ulated gr ad ie nt a nd c o r r elatio n c o ef f icie nt v alu e s fo r e a ch siz e
d istri butio n u s ed in es timating b
^„ , b^^ ^,, a nd b
^,,^fo r the E FPV N data
. T he R
^
v alu e s fo r
b
^ ^ , r a nge fr om 0.3 5 9to 0.7 6 6, w h i le the gr ad ie nt v alu e s r a nge fr om 0.5 0 3 to 2
.5 7 8. T he
R^ v alu e s fo r b
^ ^ ^ , r a nge fr om 0.33 6 to 0.7 5 1, wh i le the gr ad ie nt v alu e s r a nge fr om 0.5 0 2
to 2.7 7 T he R ^
v alu e s fo r b
^^^ r a nge fr om 0.0 14 to 0.0 2 6
, wh ile the gr ad ie nt v alu e s r a nge
T
ab l
e2
.E F P
V N
D
at
aR
e s ul
tsBe xt Valu e s fo r E F P V N Data Bs c at Valu e s fo r E F P V N Data Babs Valu e s fo r E F P V N Data
M D 0 1
0 1
0 1
0 2
0.2
0.2
0 3 0 3 0 3 0 4 0 4 0 4 0 5 0 5 0 5 0 7 0 7
0 .7
S D 1 2
Gr ad=M / C
2.1 0 9
0.9 9 8
0 6 8 6
0 6 8 4
0 5 7 7
0 7 2 4
0 5 0 9
0 6 0 6
0 9 7 4
0.5 0 3
0 7 5 1
1 3 2 3
0 5 78
0 9 7 0
1 7 1 7
0 9 6 4
1 5 4 4
2 5 7 8
0.3 5 9
0 5 0 6
0,6 4 0
0.5 3 3
0 6 5 4
0 7 1 6
0.6 4 2
0 7 1 2
0 7 3 2
0 7 0 0
0 .7 3 8
0 7 4 3
0 7 3 5
0.7 4 6
0.7 4 5
0.7 6 6
0.7 4 8
0.7 4 2
M D
0 1
0. 1
0 1
0 2
0 2
0 2
0.3
0 3 0 3
0 4
0 4
0 4
0.5
0 5
0.5
0 7
0 7
0 7
S D
1. 2
Gr a cl= M / C
2 1 5 4
1.0 0 5
0 6 8 8
0 6 8 9
0 5 7 8
0 7 2 9
0 5 0 8
0 6 0 8
0 9 9 2
0 5 0 2
0 7 5 9
1 3 6 6
0 5 8 0
0 9 8 9
1 7 9 8
0 9 8 3
1 6 1 1
2 7 7 0
R^
0 33 6
0.5 0 5
0 6 4 1
0 5 3 5
0 .6 5 6
0.7 1 5
0 64 4
0 7 1 2
0 .7 3 0
0 7 0 1
0.73 6
0 7 3 8
0 7 3 4
0 7 4 3
0 7 4 0
0 7 5 1
0 7 4 3
0 7 3 4
M D
0 1
0.1
0 1
0 2
0 2
0.2
0 3 0 3 0 3 0 4 0 4 0 4 0 5 0 5 0 5 0 7 0 7 0 7 S D
1.2
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Gr ad= M / C
0 3 5 6
0 3 0 0
0 2 7 7
0.2 67
0 2 6 6 0 2 6 8
0 2 7 0 0 2 5 2
0 259
0.265
0.2 7 3
0 2 5 0
0 2 6 3
0 2 7 2
0.2 4 5
0 2 5 0 0 2 6 4
0 2 4 6
0 0 1 8
0. 0 1 9
0 0 2 1
0 0 1 9
0 0 2 2
0 0 2 4
0 0 2 4
0. 0 2 2
0 0 2 2
0.0 2 4
0 0 2 6
0 0 1 9
0. 0 2 5
0.0 2 5
0 0 1 7
0 0 2 3
0 0 2 2
Ac c o rding to the s e r e s u lt s, the be st ( + 50 % de viatio n fr om grad ie nt of u nity
)
e sti mate ofb
^„ is obtain ed w he n the fol lowing siz e d istributio ns a r e u s ed;
M
e a n D iamete r Std. De viatio n Gr adie nt =M
/ C R ^0 4 1.2 0.50 3 0.70 0
0.3 1.2 0.50 9 0.6 42
0 2 1.5 0 577 0.6 54
0.5 1.2 0 6 0 6 0.7 12
0.2 1.2 0.68 4 0 53 3
0 1 1.8 0.686 0.640
0.2 1.8 0.7 2 4 0.7 16
0 4 1.5 0 7 5 1 0.73 8
0.7 1.2 0.9 6 4 0 76 6
0.5 1.5 0.9 7 0 0 7 46
0.5 1.5 0.970 0.7 4 6
0 4 L 8 1.323 0.743
The be st e stimate ( + 5 0 % de viatio n fr om gr ad ie nt of u nity
)
of b^^ ^ v alu e s c a n be
obtain ed u sing the fol lowing the siz e d istri butio n s :
M
e a n D iamete r Std. De v iatio n Gr ad ie nt =M
/ C R ^0.4 1.2 0.5 0 2 0.701
0.3 1.2 0.5 0 8 0
.64 4
0.2 1.5 0 5 7 8 0 6 5 6
0.5 1.2 0.5 8 0 0.7 34
0.3 1.5 0.6 0 8 0.712
0.1 1.8 0.6 8 8 0.64 1
0.2 1.2 0.6 8 9 0
.5 3 5
0.2 1.8 0 7 2 9 0.7 15
0.4 1.5 0 75 9 0.7 3 6
0.7 1.2 0.9 8 3 0.7 51
0.5 1.5 0.9 8 9 0.7 43
0.3 1.8 0.9 9 2 0
.7 30
0. 1 1.5 1.0 0 5 0.50 5
0.4 1.8 1.3 6 6 0.7 3 8
T he gr ad ie nt v alu e s c alc ulated fo r b
5.2 D I S C U SS I ON:
5.2. 1 The Abs o rp ti o n Co e
ff
icien t:T he R^ v alu e s fo r b
^^^ a r e mu ch low e r tha n the R v alu e s fo r b^^ a nd b^ ^ ^, T h is ind ic ate s
that w e ha v e be e n mu ch m o r e s u c c e s sful in e stimating b
^ ^ , a nd b^ ^ ^ , v alu e s tha n b^i, ^
v alu es. T he low R
^
a nd gr ad ie nt v alu es fo r b ^^^ m
ay be du e to the r aw data, spe ci fi c al ly
the "E leme nt al Ca rbo n
M
a s s "u s edin es ti mating the b
^^^ . To fu rthe r in v e stigate th is
po s si b i l ity p lots o f
M
e a s u r ed Zj^^, v e r s u s "
E lemental Ca rbo n
M
a s s" w e r e made fo rI
M
PR O V E a nd E F P V N data s ets r e spec tiv el y(
s e e F igu r e 1 a nd F i gu r e 2)
. Fi gu r e 1show s a gr adie nt v alu e o f 0.3 6 9 a nd a R
^
v alu e of 0.4 2 2.
Fi gure 1. Co m pa riso n of Babs vs. E C lVI
y = 0 36 86x
(
I M P R O V E Data Set)
R'
= 0 42 1 6
0 4 0 6 0 8
Mea s u r ed E C U {fig lm^)
F i gu r e 2 show s a gr adie nt v alu e of 0.0 9 0 a nd a R v alue of 0.0 31.
F igu r e 2. Co m
pa ris o n of Babs vs E C M
y = o 08 99x (E F P V N Data Set
)
R^ = 0 03 1 3
_ 0 3
^
0.25
\
0 2i 0 15
£ 0 1
S 0 0 5
0 0.05 0 1 0 15 0 2 0 25 0 3 0 35 0 4
Mea s u red E C M(n g /m')
T he s e v alu e s a r e c e rtainly in the vicinity of the gr adie nt a nd the R^ v alu e s obtain ed for
me a s u r ed v e r s u s c alc ulated b^^^ v alu e s. T h is r e s ult sho ul d n ot c ome a s a s u rpris e a s the
M
ie-A RE S pr ogr am rel ie s he a v i l y o n " Eleme ntal Ca rbo n
M
ass"
to c alc ulate the b ^abs
v alu e.
In a r e c e n t a rticle in A tmo sp he ric En vir o nme nt, Huff ma n (19 9 6
)
shows a si m i la r tr e n dwith the l i g ht abs o rb ing a e r o s ol
(
eleme ntal c a rbo n ma s s in o u r stud y)
a nd the mea s u redi>
„j„ in sp ite of the fa c t that the site s cho s e n fo r h is study we r e in the we ste r n Un ited
Stated r athe r tha n the Ea st. He su
gge sts that c o ntr a ry to c ommo n bel ief, the r e a s o n
beh ind this is the way the a v ai lab le c a rbo n dat a is inte rpr eted in the I
M
PRO V E systemT he I
M
P R OVE system u s es the rmal optic al r ef le cta n c e(
T O R)
an al ysis to pr o v i de 8c a rbo n me a s u r eme nts w h ich r epr e s e nt amo u nts of ca rbo n e v olv ed at suc c es siv e s teps in
tempe r atu r e. In the data ba s e o r
ga nic c a rbo n me a sur ements a re g iven a s 0 1, 0 2, 0 3, and
0 4. T he 0 1a nd 0 2 repres en t the low tem per atu r e o r
r epr e s e nt h i g h tem pe r atu r e o rga nic c a rbo n . Eleme ntal c a rbo n is s e
pa r ated into E l, E 2,
a nd E 3. T he E l a nd E 2 r epr ese nt the low tem pe r atu r e eleme ntal c a rbo n a nd E3
r epr e s e nts the h i g h tempe r atu r e eleme ntal c a rbo n . T he r e is als o a v alu e g iv e n fo r
p yr o l yz ed c a rbo n (P) betwe e n the o rga nic a nd the eleme ntal c a rbo n me a s u r eme nts In the
I
M
P R OVE data sy stem a nd in o u r study the light abs o rbing c a rbo n, L A C (eleme ntalc a rbo n ma s s, EC
M
in o u r study) is c alc ulated a s the s um of the E l, E 2, a nd E 3 min u s thep yr ol yz ed c a rbo n
(
P)
Howe v e r, a c c o rding to Huf f ma n th is is a n u nde r-e stimatio n
of the
LA C a nd he sugge sts an alte r n ativ e c alc ulatio n method w he r e the l ight absorb ing pa rts of
the h igh tem pe r atu r e o rga nic c a rbo n
(
0 4)
a nd the pyr ol yz ed c a rbo n is in c o rpo r ated in theL A C c alc u la tio n. In h is stud y
, Huffma n show s that by u sing h is e stimatio n of LA C a o n e
to o n e r elatio n sh ip betw e e n L A C a nd me a s u r ed abs o rptio n c o eff icie nt is po s si b le
A c c o rd ing to h is stud y LA C sho ul d be c alc ulated u singthe fol lowing fo rmula;
LA C = 0 4 + E l + E 2 - 0
.2 P
r athe r tha n L A C = E l + E 2 + E 3- P
W
e bel ie v e that th is mod i f ic atio n to the eleme ntal
c a rbo n ma s s in o u r stud y w o ul d gr e atly i m pr o v e the e sti matio n of the &
^^^
v alu e s.
H owe v e r , du e to ti me c o n str aints th is mod ifi c atio n c o ul d n ot be c om pleted befo r e the
c om p letio n of th is the sis.
T he abo v e obs e r v ation s fo r c e u s to c o n si de r the ef fe c t of the b
^^^ v alu e o n the v alu e of
&„ , . T he b
^^ , v alu e is giv e n by;
K. ,
= bT he r efo r e, the pr ob lems e xpe rie n c ed w ith the b
^^^ a r e in cluded in the b^ ^ , . H owe v e r, the
wei g ht of the b
^^^ is about 2 0 pe r c e nt in IM P RO V E data w h ile o nl y abo ut 10 pe r c e nt in
E F P V N data. T h is ind ic ate s that altho u
g h we a r e n ot able to e stimate b
^^^ v alu e s wel l,
we c a n still e stimate b
^^ v alu e s quite w el l a s a ma
j
o rity of b^^ , v alu e s a r e mainl ydepe nde nt o n the v alu e of the b
^^ ^ , .
5.2.3 E
ff
e ct of
S ize D istr i butio n o n Esti mating Ex tinctio n and Sc at te ringCo e
f f
icien ts :Ba s ed o n the r e s ults obtain ed fr om the study, the r e is n o cle a r ind ic atio n of a ny o n e
pa rtic ula r siz e d istributio n a s the be st to e stimate b
^ ^ ^ ,
a nd b
^ ^ ^ v alu e s. Howe v e r, whe n
p lots of gr ad ie nt v e r s u s me a n d iamet er a r e a n al yz ed it is po s si b le to s ay that siz e
d istri butio n s of me a n diamete r betwe e n 0.2 to 0.4 w ith sta nda rd de v iatio n s of 1.2 a nd 1.5
giv e r e a s o n ab ly go ode sti mate s
(
with± 50 pe r c e nt de viatio n fr om gr ad ie nt of u nity)
ofboth c o eff icie nts fo r both data s ets. T h is fa ct is il lu s tr ated in F i gur e s 3 a nd 4 for the
7 0
6 5
6 0 5 5
5 0
4 5 4 0 3 5
3 0
2 5 2 0
1 5
1 0
0 5
0 0
0 0
7 0 6 5
1 0
0 5
0 0
0 0
F i gu r e 3. Gr ad ie nt of be xt v s. Me a n D ia me te r
(
I M P R O V E Data Set)
JL
^
M
-3 e
HiiH
-\ }
-5^
t r
x S U = 1
n
0 1 0 2 0 3 0 4 0 5 0 6 0 7
Me a n d iamete r, dg (^m )
F igu r e 4. Gr ad ie nt of bs c at v s . Me a n D iam ete r
(
I M P ROV E Data Set)
-i i
-i r
-^ e
^ e
-t i¬
l l
0 1 0 2 0 3 0 4 0 5 06 0 7
7 0 65 6 0 5 5 5 0 4 5 4 0 3 5 3 0 2 5 2 0 1 5 1 0 05 00
7 0 6 5 6 0 5 5 5 0 4 5 4 0 3 5 30 2 5 2 0 15 1 0 05 00
F i gu r e 5. Gr ad ie n t o f be xt v s. Me a n D iam ete r
(
E F PV N Data Set)
-^ h -£ J
-0 1 0 2 0 3 0 4 0 5 0 6
Me a n Diamete r, dg(^m)
F igu r e 6. G r ad ie nt o f bs c at v s . Me a n D iam ete r
(
E F PV N Data Set)
-m
0 1 0 2 0 3 0 4 0 5 06
Me a n D iamete r,d g(^m)
^ 1
□ S D = 1 5
0 7
♦ S D= 1 2
d S D= 1 5
>k SD = 1 8
-I ]
07
T he s e siz e d istri butio n s
(
me a n d iamete r 0.2 to 0 4 a nd sta nda rd de viatio n 1.2 to 1.5) a r ewith in the a c c umulatio n mode, wh ich is ac cept ed t o be predom in antl y respo nsi b le fo r the
ex tin c tio n of light in the atmospher e It is als o hel p ful t o point o ut that du ring sho rt te rm
mea su r ed simi la r siz e d istr ibu tion pa r ame te r s (Z ha ng, et al , 1 9 9 4, S loan e, at al , 1 9 9 1,
W
ag go n e e r, et al., 19 81)
. In a ny c a se, it ap pe a rs that a s long a s a pa rtic ulate siz edistri butio n lie s w ithin the r a nge me a n d iamete r 0.2 to 0 4 |j,m a nd the sta nda rd de v iatio n
5.2.4 Othe r F a cto r s tha t
M
ay Ef f
e ct Ac c u r a cy of
the Estimate s of
the Co ef f
icie n ts :Fol low ing the s e pr el imin a ry r e s ults, it wa s de ci ded to fu rthe r a n alyz e the I
M
P R OV E datar e s ults fo r the siz e d istributio n of me a n d iamete r 0.3 [im a nd sta nda rd de viatio n 1.5. T his
siz e d istributio n a nd data s et w e r e cho s e n a s it r e s ulted in clo s e e sti mate s (Gr adie n t =
0.9 17) of the me a s u r ed s c at te ringc o ef f icie nts a nd the I
M
P R OV E data s et c o ntain ed mo r epoints fo r in v e sti gatio n tha n the E F PV N data ba s e. T h is an alysis wo ul d pr o v i de a cha n c e
to s tud y the ef fe cts of fa cto r s o the r tha n siz e d istri butio n in e sti mating the e xtin ctio n,
s c at te ring, a nd abs o rptio n c o ef fi cie nts T he c rite ria u s ed to s epa r ate the data a nd
c o r r e spo nd ing gr ad ie nt a nd c o r r elatio n c o efficie nt v alu e s a r e giv e n below:
Gr ad ie nt=
M
/ C R^Relativ e Humid ity < 70 % 1 018 0.8 63
Relativ e Hum i d ity > 7 0 % 0.78 5 0.7 97
T otal A er o s ol M a s s < 10 p g 1.0 7 2 0.9 9 0
10 ^ g <Total A e r o s ol
M
a s s < 2 0 ^ig 0.8 7 1 0.3 8 2To tal Aer o s ol
M
ass > 2 0 \xg 0.9 3 5 0.5 3 6Sul fu r
M
a s s < 1 }Xg 0.97 8 0.0 641 ^ig < Sul fu r
M
a s s < 2 |J,g 0.832 0.2 37Sulfu r
M
a s s > 2 fig 0 9 3 9 0.61 3Lo c atio n :
G. Smok y Mts. N P 1.0 04 0.8 61
M
am moth Ca v e NP 0.5 94 0.828Ac ad ia N P 0 6 8 7 0.4 9 4
Dol l y Sods
W
il de r n e s s 0.8 07 0.8 01As it c a n be s e e n fr om the abo v e r e s ults al l the fa cto r s pr o vi de si m i la r gr ad ie nts. T he
onl y n otic e ab le d i f fe r e n c e is g iv e n b y d i f fe rent lo c atio n s. For instance,
"
M
ammo th CaveN P" gr adie nt is the fu rthe rmo st fr om the o v e r al l gr ad ie nt. H owe v e r
+ 5 0 pe r c e nt ma rg in A ls o , it is impo rta nt to point o ut that th is pa rtic ula r lo c atio n ha s the
fewe st data points in the I
M
PROV E data s et. The r efo r e, it is als o n ot po s si b le todete rm in e whethe r lo c atio n is in fa ct a n i m po rta nt fa cto r fo r o u r c alc u latio n s to e stimate
5.3 Re s u lts an d D is c u s sio n fo r the
M
o d i f ied In pu t DataC
o n tain in gNo A
m m
o n ium
M
as s :To pr o vi de a n in si g ht into the ef fect of the am mo nium m a s s o n e sti mated e xtinc tio n ,
s c at te ring, a nd abs o rption c o ef f icient s the input data u s ed in the
M
ie -AR ES pr ogr am ha v e
be e n modi f ied. T he prin cipal cha nge in the a s s umptio n s a nd c alc ulatio n s u s ed fo r this
stud y w a s that the ammo nium ma s s w a s n ot c alc ulated a nd thu s w a s n ot in c luded in the
input dat a to the
M
ie-A R E Spr ogr am. T he cha nge s to the a s s um ptio n s a n d c alculatio n s
u s ed to c r e ate the o ri g in al input data c o ntaining the ammo nium ma s s a r e giv e n below:
a) Or ga nic Ca rbo n
M
a s s(
O CM
) is giv e n by;O C
M
= TCM
- ECM
T he s ame a s s um ptio n s a s the o rigin al input data w ith am mo nium ma s s a r e
v al i d in th is c a s e .
b) Sul fate
M
a s s (SO^M )
is giv e n by ;S 0
^
M
= 3
{
SM
)
T he s ame a s s um ptio ns a s the o rigin al in put data w ith ammo nium ma s s a r e
v ali d in th is c a s e.
c) In e rt
M
a s s (/M
)is g iv e n b y;IM = T A
M
- S OIn e rt ma s s is a s s umed to be c a rbo n ma s s a nd a ny othe r fr a ctio n of the total
a e r o s ol ma ss una c c o u nted fo r b y the s ul fa te ma s s.
d
)
I f IM
is gr e ate r tha n z e r o , r e al{
R I R)
a nd i magin a ry(
/ ?/ /)
r efr a ctiv e indic e sa r e g iv e n by;
R 1R = \5
-I
M
- ECU
I
M
(
ECM
2
V
IM
R I I
I
M
T he s ame a s s umptio n s a s the o ri g in al input data w ith am mo nium ma s s a r e
v al i d in th is c a se.
In e rt De n sity, p, , is giv e n by;
_ f I
M
- ECM
- O CM
\ f E CM
+ O CM
' ~
\ I
M
J \ IM
The s ame as sumptio n s a s the o ri g in al input data w ith am mo nium ma s s a r e
v al i d in this c a s e
5.3.1 Re s u lts
f
o r IM
P R O V E Data(
w itho u t the A m moniumM
a s s)
:Tab le 3 shows the s um ma ry of the calc ulated gr ad ie nt a nd R^ v alu es for e a c h siz e
distr i butio n u s ed in e sti mating b
^„ , b
9
ammo nium ma s s). T he R v alu e s fo r b
^ ^ ^ r a nge fr om 0.8 2 2 to 0.8 4 0, w hi le the gr ad ie nt
v alu e s r a n ge fr om 0.5 6 5 to 3.075. T he R
^
v alu e s fo r b
^ ^ ^, r a nge fr om 0.78 9 to 0.81 8
,
w h i le the gr adie nt v alu e s r a nge fr om 0 8 06 to 3.3 3 3. T he R
'
v alu e s fo r &
^^^ r a nge fr om
0.4 20 to 0.626, w hi le the gr adie nt v alu e s r a nge fr om 1 254 to 198 0
Ac c o rdin g to the s e r e s ults, the be st ( + 50 % de viatio n fr om gr ad ie nt o f u nity) e sti m ate of
b^ ^ , is obtain ed whe n the follow ing siz e d istri butio n s a r e u s ed:
M
e a n D iamete r Std. De v iatio n Gr ad ie nt =M
/ C R~
0.4 1.2 0.5 6 5 0.8 3 3
0.3 1.2 0.57 0 0.8 37
0.2 1.5 0 6 5 6 0.8 3 8
0.5 1.2 0.6 6 6 0.829
0.3 1 5 0 6 93 0.8 3 3
0. 1 1.8 0.7 7 6 0.8 3 7
0.2 1.2 0.7 9 8 0.840
0.2 1.8 0 8 3 0 0 8 3 5
0.4 1.5 0.8 7 3 0.8 3 2
0.3 1.8 1.13 6 0.8 3 3
0.5 1.5 1.14 5 0 8 3 0
0. 1 1.5 1.182 0.840