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Adv
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s
(
I
J
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Vo
l.
6
,
No
.
4
,
Dec
em
b
er
2
0
1
7
,
p
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.
3
3
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-
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[
1
6
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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:
2
2
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8814
IJ
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Vo
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4
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Dec
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2
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3
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[
1
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.
2.
E
Q
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2
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1
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E
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T
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he
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(
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,
ℎ
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−
)
⏟
+
(
ℎ
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ℎ
ℎ
⏟
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
SS
N:
2252
-
8814
C
o
mp
a
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is
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n
o
f Mo
d
elin
g
a
n
d
S
imu
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R
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lts
Ma
n
a
g
eme
n
t Micro
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(
Did
i F
a
o
u
z
i
)
337
V
̇
i
n
f
:
T
h
e
s
p
ee
d
o
f
air
in
f
i
ltra
tio
n
(
m
/
s
)
V
g
r
een
ho
u
s
e
: T
h
e
to
tal
v
o
lu
m
e
o
f
a
g
r
icu
lt
u
r
al
g
r
ee
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h
o
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e
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3
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H
in
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o
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s
th
e
in
d
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an
d
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td
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h
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m
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KJ
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̇
ve
nt
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en
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ate
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m
3
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r
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An
d
f
o
r
th
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h
u
m
id
it
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b
alan
ce
:
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ates o
f
c
h
an
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e
i
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ab
s
o
l
u
te
h
u
m
id
it
y
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n
f
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ltra
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tila
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h
u
m
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it
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if
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er
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ce
w
i
th
t
h
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ts
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Misti
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en
s
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is
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q
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atio
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=
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−
(
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T
h
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a
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t o
f
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r
o
v
id
ed
b
y
ev
ap
o
tr
an
s
p
ir
atio
n
(
W
)
.
3.
F
U
Z
Z
Y
CO
N
T
RO
L
L
E
R
M
O
DE
L
I
N
G
Fu
zz
y
lo
g
ic
i
s
w
id
el
y
u
s
ed
i
n
th
e
m
ac
h
i
n
e
co
n
tr
o
l.
T
h
e
ter
m
"
f
u
zz
y
"
r
e
f
er
s
to
th
e
f
ac
t
t
h
at
th
e
lo
g
i
c
ca
n
d
ea
l
w
it
h
co
n
ce
p
ts
t
h
at
ca
n
n
o
t
b
e
ex
p
r
ess
ed
as
th
e
"
tr
u
e"
o
r
"
f
alse"
b
u
t
r
ath
er
as
"p
ar
tiall
y
tr
u
e"
.
[
1
5
]
W
h
ile
alter
n
ati
v
e
ap
p
r
o
ac
h
es
s
u
c
h
as
g
e
n
etic
al
g
o
r
ith
m
s
a
n
d
n
eu
r
al
n
et
w
o
r
k
s
ca
n
p
er
f
o
r
m
j
u
s
t
as
w
ell
as
f
u
zz
y
lo
g
ic
in
m
an
y
ca
s
es,
f
u
zz
y
lo
g
ic
h
as
th
e
ad
v
a
n
ta
g
e
t
h
at
t
h
e
s
o
lu
tio
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ca
n
b
e
ca
s
t
i
n
ter
m
s
t
h
at
h
u
m
a
n
o
p
er
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ca
n
u
n
d
er
s
ta
n
d
,
s
o
t
h
at
t
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eir
e
x
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er
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ce
ca
n
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e
u
s
ed
in
t
h
e
d
esi
g
n
o
f
t
h
e
co
n
tr
o
l
d
ev
ice.
T
h
is
m
ak
e
s
it e
asier
to
m
ec
h
a
n
ize
t
h
e
tas
k
s
h
a
v
e
alr
ea
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y
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ee
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er
f
o
r
m
ed
s
u
cc
es
s
f
u
l
l
y
b
y
m
a
n
[
3
]
.
3
.
1
.
F
uz
zy
I
nfe
re
nce
M
et
ho
d
M
A
M
DANI
Fu
zz
y
i
n
f
er
en
ce
Ma
m
d
a
n
i
t
y
p
e,
as
d
ef
in
ed
f
o
r
T
o
o
lb
o
x
f
u
zz
y
lo
g
ic,
ex
p
ec
t
s
t
h
e
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
to
b
e
f
u
zz
y
s
et
s
.
Af
ter
t
h
e
a
g
g
r
eg
atio
n
p
r
o
ce
s
s
,
th
er
e
i
s
a
f
u
zz
y
s
et
f
o
r
ea
c
h
o
u
tp
u
t
v
ar
iab
le
to
d
ef
u
zz
i
f
icatio
n
.
I
t
i
s
p
o
s
s
ib
l
e,
an
d
in
s
o
m
e
ca
s
e
s
m
u
c
h
m
o
r
e
ef
f
ic
ien
t
to
u
s
e
a
s
i
n
g
le
p
ea
k
as
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
,
r
ath
er
th
an
a
d
is
tr
ib
u
ted
f
u
zz
y
s
et.
T
h
is
is
s
o
m
eti
m
es
k
n
o
w
n
a
s
s
i
n
g
leto
n
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
,
a
n
d
w
e
ca
n
t
h
i
n
k
li
k
e
a
f
u
zz
y
s
et
o
f
p
r
e
d
ef
u
zz
i
f
icati
o
n
.
I
t
i
m
p
r
o
v
es
th
e
ef
f
icie
n
c
y
o
f
d
ef
u
zz
i
f
icatio
n
b
ec
au
s
e
i
t
g
r
e
atl
y
s
i
m
p
li
f
ie
s
th
e
ca
lc
u
lat
io
n
r
eq
u
ir
ed
b
y
t
h
e
m
o
r
e
g
e
n
er
a
l
m
et
h
o
d
Ma
m
d
an
i
w
h
ic
h
h
a
s
th
e
ce
n
ter
o
f
g
r
a
v
it
y
o
f
a
t
w
o
-
d
i
m
e
n
s
io
n
al
f
u
n
cti
o
n
.
[
4
-
5]
T
o
ca
lcu
late
th
e
o
u
tp
u
t o
f
t
h
e
SIF
in
v
ie
w
o
f
i
n
p
u
t
s
,
s
i
x
s
tep
s
s
h
o
u
ld
b
e
f
o
llo
w
ed
:
a.
T
h
e
d
eter
m
i
n
atio
n
o
f
a
s
et
o
f
f
u
zz
y
r
u
les.
b.
Fu
zz
i
f
icatio
n
in
p
u
ts
u
s
i
n
g
th
e
in
p
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
.
c.
B
y
co
m
b
i
n
i
n
g
Fu
zz
if
ica
io
n
en
tr
ies ac
co
r
d
in
g
to
th
e
f
u
zz
y
r
u
l
es to
estab
lis
h
a
r
esis
ta
n
ce
to
th
e
r
u
le.
d.
Fin
d
t
h
e
co
n
s
e
q
u
e
n
ce
o
f
r
u
le
b
y
co
m
b
i
n
i
n
g
th
e
r
esi
s
ta
n
ce
to
th
e
r
u
le
a
n
d
th
e
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
.
e.
B
y
co
m
b
i
n
i
n
g
th
e
co
n
s
eq
u
e
n
c
es to
g
et
a
d
is
tr
ib
u
tio
n
o
u
tlet.
f.
Def
u
zz
if
icatio
n
t
h
e
o
u
tp
u
t d
is
t
r
ib
u
tio
n
.
3
.
2
.
F
uzzy
Set
s
P
lease
u
s
e
a
9
-
p
o
in
t
T
im
e
s
R
o
m
a
n
f
o
n
t,
o
r
o
th
er
R
o
m
a
n
f
o
n
t
w
i
th
s
er
if
s
,
as
clo
s
e
as
p
o
s
s
ib
le
in
ap
p
ea
r
an
ce
to
T
im
e
s
R
o
m
a
n
i
n
w
h
ic
h
t
h
ese
g
u
id
eli
n
es
h
a
v
e
b
ee
n
s
e
t.
T
h
e
g
o
al
is
to
h
a
v
e
a
9
-
p
o
in
t
te
x
t,
as
y
o
u
s
ee
h
er
e.
P
lease
u
s
e
s
a
n
s
-
s
er
if
o
r
n
o
n
-
p
r
o
p
o
r
tio
n
al
f
o
n
t
s
o
n
l
y
f
o
r
s
p
ec
ial
p
u
r
p
o
s
es,
s
u
c
h
as
d
is
t
i
n
g
u
i
s
h
in
g
s
o
u
r
ce
co
d
e
tex
t.
I
f
T
im
e
s
R
o
m
a
n
is
n
o
t
av
ailab
le,
tr
y
th
e
f
o
n
t
n
a
m
ed
C
o
m
p
u
ter
Mo
d
er
n
R
o
m
an
.
O
n
a
Ma
cin
t
o
s
h
,
u
s
e
th
e
f
o
n
t
n
a
m
e
d
T
im
e
s
.
R
i
g
h
t
m
ar
g
i
n
s
s
h
o
u
l
d
b
e
j
u
s
tif
ied
,
n
o
t r
a
g
g
ed
.
T
h
e
in
p
u
t
v
ar
iab
les
i
n
a
f
u
zz
y
co
n
tr
o
l
s
y
s
te
m
ar
e
g
e
n
er
all
y
m
ap
p
ed
b
y
s
ets
o
f
m
e
m
b
er
s
h
i
p
f
u
n
ctio
n
s
s
i
m
ilar
to
it,
ca
lled
"
f
u
zz
y
s
et"
.
T
h
e
p
r
o
ce
s
s
o
f
co
n
v
er
ti
n
g
a
cr
is
p
in
p
u
t
v
alu
e
to
a
f
u
zz
y
v
a
lu
e
is
ca
lled
"
f
u
zz
y
lo
g
ic"
.
A
co
n
tr
o
l
s
y
s
te
m
m
a
y
also
h
a
v
e
d
i
f
f
er
e
n
t
t
y
p
es
o
f
s
w
itc
h
,
o
r
"
ON
-
OF
F"
,
in
p
u
t
s
a
n
d
an
alo
g
i
n
p
u
t
s
an
d
d
u
r
in
g
s
w
itc
h
in
g
in
p
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ts
w
ill
a
l
w
a
y
s
b
e
a
tr
u
t
h
v
al
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e
o
f
1
o
r
0
,
b
u
t
t
h
e
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y
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te
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ca
n
h
a
n
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le
as
s
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m
p
li
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ied
f
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zz
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f
u
n
ctio
n
s
h
ap
p
en
to
b
e
o
n
e
v
a
lu
e
o
r
an
o
t
h
er
.
Giv
e
n
"
m
ap
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g
s
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o
f
i
n
p
u
t
v
ar
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les
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
a
n
d
tr
u
th
v
al
u
es,
t
h
e
m
icr
o
co
n
tr
o
ll
er
t
h
en
m
ak
e
s
d
ec
is
io
n
s
f
o
r
ac
tio
n
o
n
th
e
b
as
is
o
f
a
s
et
o
f
"
r
u
les"
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8814
IJ
AA
S
Vo
l.
6
,
No
.
4
,
Dec
em
b
er
2
0
1
7
:
3
3
5
–
3
4
2
338
3
.
2
.
1
M
e
m
bers
hip
F
u
nct
io
ns
Fig
u
r
e
1
.
R
ep
r
esen
tatio
n
R
u
le
s
o
f
Me
m
b
er
s
h
ip
3
.
2
.
2
Rules
o
f
decisi
o
ns
a.
I
f
(
T
i
is
T
VC
O
L
D)
t
h
en
(
F
OG1
F
A
N1
is
OF
F)(
FOG2
F
A
N2
is
O
FF
)
(
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F
AN3
i
s
OF
F)(
NV
is
OFF)
(
Hea
ter
1
is
ON)
(
Hea
ter
2
is
ON)
(
Hea
ter
3
is
ON)
(
1
)
b.
I
f
(
T
i
is
T
C
OL
D)
th
e
n
(
F
OG1
F
A
N1
is
OFF)(
FOG2
F
A
N2
is
OF
F)(
FOG3
F
A
N3
i
s
OFF)(
NV
is
OFF)(
Hea
ter
1
is
ON)
(
Hea
ter
2
is
ON)
(
Hea
ter
3
is
OFF)
(
1
)
c.
I
f
(
T
i
is
T
C
OOL
)
th
e
n
(
F
OG1
F
A
N1
is
OFF)(
FOG2
F
A
N2
is
OF
F)(
FOG3
F
A
N3
i
s
OFF)(
NV
is
OFF)(
Hea
ter
1
is
ON)
(
Hea
ter
2
is
OFF)(
Hea
ter
3
is
OF
F)
(
1
)
d.
I
f
(
T
i
is
T
SH)
th
en
(
FO
G1
FAN1
is
OFF)(
FOG2
F
AN2
is
OFF)(
FOG3
F
A
N3
is
OFF)(
NV
is
ON)
(
Hea
ter
1
is
OFF)(
Hea
ter
2
is
OFF)(
Hea
ter
3
is
OF
F)
(
1
)
e.
I
f
(
T
i
is
T
H)
th
e
n
(
FOG1
F
AN1
is
ON)
(
FOG2
F
A
N2
is
OF
F)(
FOG3
F
A
N3
i
s
O
FF
)
(
NV
i
s
OF
F)(
Hea
ter
1
is
OFF)(
Hea
ter
2
is
OF
F)(
Hea
t
er
3
is
OFF)
(
1
)
f.
I
f
(
T
i
is
T
VH)
th
en
(
FOG1
FA
N1
is
ON)
(
F
OG2
F
A
N2
is
O
N)
(
FOG3
F
A
N3
is
OFF)(
NV
i
s
OFF)(
Hea
ter
1
is
OFF)(
Hea
ter
2
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OF
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Hea
t
er
3
is
OFF)
(
1
)
g.
I
f
(
T
i
is
T
E
H)
th
en
(
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F
AN1
is
ON)
(
FOG2
FAN2
is
ON)
(
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F
A
N3
is
ON)
(
NV
is
OFF)(
Hea
ter
1
is
OFF)(
Hea
ter
2
is
OF
F)(
Hea
t
er
3
is
OFF)
(
1
)
4.
SI
M
UL
AT
I
O
N
AN
D
M
O
D
E
L
VA
L
I
DAT
I
O
N
P
lease
u
s
e
a
9
-
p
o
in
t
T
im
e
s
R
o
m
a
n
f
o
n
t,
o
r
o
th
er
R
o
m
a
n
f
o
n
t
w
i
th
s
er
if
s
,
as
clo
s
e
as
p
o
s
s
ib
le
in
ap
p
ea
r
an
ce
to
T
im
e
s
R
o
m
a
n
i
n
w
h
ic
h
t
h
ese
g
u
id
eli
n
es
h
a
v
e
b
ee
n
s
e
t.
T
h
e
g
o
al
is
to
h
a
v
e
a
9
-
p
o
in
t
te
x
t,
as
y
o
u
s
ee
h
er
e.
P
lease
u
s
e
s
a
n
s
-
s
er
if
o
r
n
o
n
-
p
r
o
p
o
r
tio
n
al
f
o
n
t
s
o
n
l
y
f
o
r
s
p
ec
ial
p
u
r
p
o
s
es,
s
u
c
h
as
d
is
ti
n
g
u
i
s
h
in
g
s
o
u
r
ce
co
d
e
tex
t.
I
f
T
im
e
s
R
o
m
a
n
is
n
o
t
av
ailab
le,
tr
y
th
e
f
o
n
t
n
a
m
e
d
C
o
m
p
u
ter
Mo
d
er
n
R
o
m
an
.
O
n
a
Ma
cin
to
s
h
,
u
s
e
th
e
f
o
n
t
n
a
m
e
d
T
im
e
s
.
R
i
g
h
t
m
ar
g
i
n
s
s
h
o
u
l
d
b
e
j
u
s
tif
ied
,
n
o
t r
a
g
g
ed
.
Ou
r
m
o
d
el
i
s
b
ased
o
n
t
h
e
g
r
e
en
h
o
u
s
e
G
UE
SS
m
o
d
el
th
at
is
s
et
f
o
r
a
m
u
lti
g
r
ee
n
h
o
u
s
e
c
h
ap
el
w
h
ic
h
ea
ch
m
o
d
u
le
is
8
.
5
m
w
id
e,
3
4
m
d
ee
p
an
d
r
i
d
g
e
h
ei
g
h
t
o
f
4
.
5
m
.
I
n
f
iltra
tio
n
r
ate
is
1
.
1
air
ch
an
g
es
p
er
h
o
u
r
,
an
d
a
U
v
a
lu
e
o
f
5
.
7
6
W
/
m
2
.
K
w
as
u
s
ed
.
T
h
e
m
o
d
el
o
f
t
h
e
p
lan
t
w
as
s
et
f
o
r
Do
u
g
la
s
s
e
ed
lin
g
p
lan
t
s
w
er
e
s
tar
ted
at
0
.
5
7
g
d
r
y
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g
h
t,
a
n
d
h
ar
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ested
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.
6
7
g
d
r
y
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ei
g
h
t;
a
n
e
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g
r
o
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i
n
g
s
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o
n
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ec
o
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ed
at
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ar
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est
.
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s
e
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o
f
h
o
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r
l
y
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ata
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r
2
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5
(
1
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an
u
ar
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to
3
1
Dec
em
b
er
)
w
ea
th
er
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tatio
n
o
f
Dar
E
l
B
eid
a
A
l
g
er
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an
d
B
is
k
r
a
A
l
g
er
ia
[
6
]
,
w
as
u
s
ed
to
v
al
id
ate
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r
m
o
d
el
a
s
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ile
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a
t
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ad
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m
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h
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h
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e
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s
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ll
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4
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it
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w
in
6
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w
it
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Si
m
u
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.
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h
e
s
i
m
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latio
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er
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m
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o
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la
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ip
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ed
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it
h
a
h
ar
d
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r
iv
e
7
0
0
GB
an
d
5
GB
o
f
R
A
M
.
Si
m
u
li
n
k
m
o
d
el
o
f
t
h
e
p
ar
ties
w
er
e
m
ad
e
i
n
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
SS
N:
2252
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8814
C
o
mp
a
r
is
o
n
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f Mo
d
elin
g
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n
d
S
imu
la
tio
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R
esu
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n
a
g
eme
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t Micro
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(
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i F
a
o
u
z
i
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339
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A
cc
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"
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o
d
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at
h
a
s
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ir
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ated
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iag
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re
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m
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o
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Fig
u
r
e
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.
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m
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li
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o
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re
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ig
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r
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Fu
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RE
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S
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m
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ly
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telli
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licatio
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[
6
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I
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IJ
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Vo
l.
6
,
No
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4
,
Dec
em
b
er
2
0
1
7
:
3
3
5
–
3
4
2
340
5
.
1
.
Resul
t
s
Si
m
ula
t
io
n f
o
r
t
he
w
et
la
nd
re
g
io
n (
Da
r
E
l Beid
a
)
F
ig
u
r
e
5
.
His
to
g
r
a
m
Sh
o
w
s
th
e
Dis
tr
ib
u
tio
n
o
f
I
n
d
o
o
r
T
em
p
er
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r
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F
ig
u
r
e
6
.
T
h
e
E
v
o
lu
tio
n
o
f
H
u
m
id
it
y
a
n
d
T
em
p
er
atu
r
e
(
I
n
ter
io
r
/ E
x
ter
i
o
r
)
5
.
2
Resul
t
s
Si
m
u
la
t
io
n f
o
r
t
h
e
a
rid r
eg
io
n (
B
is
k
ra
)
I
t
is
f
o
u
n
d
i
n
th
e
w
etla
n
d
r
eg
io
n
(
Dar
E
l
B
eid
a)
th
at
m
o
s
t
o
f
th
e
i
n
ter
n
al
te
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er
at
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r
e
v
al
u
es
a
r
e
i
n
th
e
r
an
g
e
1
4
°
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to
2
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°
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f
o
r
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tu
m
n
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ter
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in
th
e
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g
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lar
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e
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h
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.
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h
e
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m
p
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e
m
e
n
t
of
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h
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er
m
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r
r
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t
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r
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e
ad
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itio
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n
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ir
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u
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last
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ter
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r
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m
m
e
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er
at
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r
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is
w
it
h
i
n
th
e
d
esire
d
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g
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Fig
u
r
e
7
.
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to
g
r
a
m
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o
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n
d
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r
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em
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er
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r
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ig
u
r
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.
T
h
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o
lu
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H
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m
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n
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em
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er
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e
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ter
io
r
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ter
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o
r
)
T
h
e
r
elativ
e
h
u
m
id
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o
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th
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in
ter
v
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d
esire
d
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r
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ll
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e
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al
f
o
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m
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er
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s
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o
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m
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