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Appl
ied P
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ineering
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J
AP
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)
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
201
9
,
p
p
.
2
4
9
~2
5
6
I
SS
N:
2252
-
8792
DOI
:
1
0
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1
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5
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1
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j
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v
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p
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256
249
J
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ur
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l ho
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ttp
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u
r
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d
ex
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h
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JA
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Statistica
l ana
ly
sis
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dia
nce R
H
using
VII
R
S day
/nig
ht
ba
nd sa
tellit
e
t
i
me series da
ta
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i U
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v
k
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a
De
p
a
rtme
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Na
tu
ra
l
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c
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s (S
tatisti
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s),
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th
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d
u
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iv
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rsity
,
Ne
p
a
l
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icle
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nfo
AB
ST
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A
r
ticle
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to
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y:
R
ec
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J
an
1
1
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1
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R
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cc
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p
r
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Am
o
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n
t
o
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n
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h
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li
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ts
in
a
n
a
re
a
is
a
p
ro
x
y
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d
ica
to
r
o
f
e
lec
tri
c
it
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c
o
n
su
m
p
ti
o
n
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h
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is
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terli
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k
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to
i
n
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ica
to
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o
f
e
c
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ic
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c
h
a
s
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io
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e
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o
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ic
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c
ti
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it
ies
,
u
rb
a
n
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o
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o
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h
y
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l
c
a
p
it
a
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e
o
f
p
o
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rty
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h
e
s
e
n
ig
h
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li
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ts
a
re
g
e
n
e
ra
ted
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y
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n
d
n
o
n
re
n
e
wa
b
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e
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e
rg
y
so
u
rc
e
.
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th
is
p
a
p
e
r
t
h
e
b
e
h
a
v
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o
f
n
ig
h
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ra
d
ian
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a
ta
w
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s
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u
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e
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r
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o
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r;
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n
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ter
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h
e
se
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o
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rs
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d
8
9
3
6
o
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se
rv
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ti
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ti
m
e
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ries
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a
ta
is
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ro
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e
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te
m
b
e
r
2
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o
4
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e
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e
m
b
e
r
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0
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8
.
T
h
e
b
e
h
a
v
io
r
o
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n
ig
h
t
ra
d
ian
c
e
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d
a
ta
o
v
e
r
1
2
2
ti
m
e
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terv
a
ls
w
a
s
a
n
a
l
y
z
e
d
u
sin
g
b
o
x
p
l
o
ts.
I
t
w
a
s
se
e
n
th
a
t
t
h
e
a
rit
h
m
e
ti
c
m
e
a
n
o
f
RH
d
a
ta
is
m
o
re
se
n
siti
v
e
t
h
a
n
t
h
e
a
rit
h
m
e
ti
c
m
e
a
n
o
f
f
irst
o
rd
e
r
d
if
f
e
re
n
c
e
o
f
RH
d
a
ta.
T
h
e
f
irst
o
rd
e
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d
if
f
e
r
e
n
c
e
o
f
n
ig
h
t
ra
d
ian
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e
RH
w
a
s
re
g
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e
ss
e
d
o
n
n
ig
h
t
ra
d
ian
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e
o
v
e
r
1
1
0
in
terv
a
ls
o
f
ti
m
e
.
T
h
e
b
o
x
p
lo
t
o
f
slo
p
e
a
n
d
in
terc
e
p
t
o
f
th
is
li
n
e
a
r
re
g
re
ss
io
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sh
o
w
e
d
th
e
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e
h
a
v
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o
f
th
e
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re
g
re
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ra
m
e
ters
o
v
e
r
1
1
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terv
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ls
o
f
ti
m
e
.
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is
se
e
n
th
a
t
th
e
d
a
ta
a
re
m
o
re
sc
a
tt
e
re
d
w
it
h
re
sp
e
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t
to
slo
p
e
th
a
n
w
it
h
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sp
e
c
t
t
o
in
terc
e
p
t.
T
h
is
i
m
p
li
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s
th
a
t
th
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te
o
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h
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n
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e
in
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it
h
re
sp
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t
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h
a
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ti
m
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h
a
s
m
o
re
v
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il
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t
th
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tri
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si
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v
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d
a
ta
a
t
th
e
sa
m
p
led
p
o
i
n
t
o
f
ti
m
e
.
K
ey
w
o
r
d
s
:
Statis
t
ical
an
al
y
s
is
B
o
x
p
lo
t
L
i
n
ea
r
r
eg
r
ess
io
n
VI
I
R
S satelli
te
DNB
d
ata
Co
p
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rig
h
t
©
201
9
In
s
t
it
u
te o
f
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d
v
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n
g
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rin
g
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l
rig
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ts
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se
rv
e
d
.
C
o
r
r
e
s
p
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nd
ing
A
uth
o
r
:
J
y
o
ti U.
De
v
k
o
ta
Ma
th
e
m
atica
l Scie
n
ce
Gr
o
u
p
,
Dep
ar
t
m
en
t o
f
Natu
r
al
Scien
c
e,
Sch
o
o
l o
f
Scien
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,
Kath
m
an
d
u
U
n
iv
er
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P
.
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o
x
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3
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Kath
m
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Nep
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m
ail: d
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p
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taj
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ail.
co
m
1.
I
NT
RO
D
UCT
I
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N
R
en
e
w
ab
le
a
n
d
n
o
n
r
en
e
w
ab
le
en
er
g
ie
s
ar
e
s
o
u
r
ce
s
to
n
i
g
h
t t
i
m
e
li
g
h
ts
.
T
h
ese
n
i
g
h
t li
g
h
ts
i
llu
m
i
n
at
e
b
r
id
g
es,
s
tr
ee
ts
,
s
h
ip
f
leet
s
,
b
u
ild
in
g
s
etc.
T
h
e
d
ata
o
n
n
i
g
h
t
l
ig
h
ts
ca
n
b
e
o
b
tain
ed
f
r
o
m
ea
r
t
h
o
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s
er
v
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tio
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ata
o
f
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atellite
s
.
R
e
s
ea
r
ch
er
s
h
av
e
f
o
u
n
d
a
p
o
s
iti
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co
r
r
elati
o
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et
w
ee
n
n
i
g
h
t
ti
m
e
li
g
h
t
d
ata
an
d
s
ev
er
a
l
s
o
cio
-
ec
o
n
o
m
ic
v
ar
iab
les
[
1
]
.
T
h
e
f
r
ee
an
d
in
ex
p
en
s
i
v
e
s
at
ellite
ti
m
e
s
er
ies
d
ata
o
n
n
ig
h
t
lig
h
ts
ca
n
th
u
s
b
e
u
s
ed
f
o
r
in
-
d
ep
th
s
tatis
tical
an
al
y
s
i
s
w
it
h
v
a
s
t i
n
ter
d
is
cip
li
n
a
r
y
ap
p
licatio
n
s
.
T
h
is
n
ig
h
t
ti
m
e
li
g
h
t
p
r
o
v
id
es
lig
h
t
in
g
in
d
ar
k
n
es
s
.
T
h
is
n
i
g
h
t
r
ad
ian
ce
is
also
an
i
n
d
icato
r
o
f
s
o
cio
ec
o
n
o
m
ic
ac
ti
v
it
ies
co
n
d
u
cte
d
in
t
h
e
n
ig
h
t.
As
m
o
s
t
o
f
s
o
cio
ec
o
n
o
m
ic
ac
ti
v
itie
s
at
n
i
g
h
t
r
eq
u
ir
e
l
ig
h
t,
t
h
e
in
te
n
s
it
y
o
f
n
ig
h
t
ti
m
e
lig
h
t
s
an
d
th
e
ar
ea
co
v
er
ed
b
y
it
co
r
r
elate
w
it
h
s
o
cio
ec
o
n
o
m
ic
ac
tiv
itie
s
an
d
ec
o
n
o
m
i
c
d
ev
elo
p
m
en
t.
T
h
e
b
r
ig
h
t
n
es
s
o
f
in
d
o
o
r
an
d
o
u
td
o
o
r
n
ig
h
t
ti
m
e
lig
h
t
ca
n
b
e
s
ee
n
f
r
o
m
th
e
s
p
ac
e
d
u
e
to
s
atellite
i
m
a
g
er
y
.
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n
ar
ea
s
lac
k
in
g
w
it
h
d
ata
o
n
ec
o
n
o
m
ic
a
cc
o
u
n
ti
n
g
,
n
ig
h
t
ti
m
e
s
ate
llit
e
d
ata
ca
n
g
i
v
e
u
s
a
n
esti
m
ate
o
f
ec
o
n
o
m
ic
g
r
o
w
t
h
.
A
ll
v
ital
i
n
p
u
t
s
n
ee
d
ed
f
o
r
s
u
r
v
iv
a
l
an
d
ec
o
n
o
m
ic
d
e
v
elo
p
m
en
t
o
f
a
s
o
ciet
y
ar
e
p
r
o
v
id
ed
b
y
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er
g
y
.
E
n
er
g
y
u
s
ed
in
n
i
g
h
t ti
m
e
ac
ti
v
it
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p
la
y
s
a
v
er
y
i
m
p
o
r
tan
t r
o
le
in
t
h
is
d
y
n
a
m
ics.
C
h
a
n
g
es i
n
p
o
p
u
latio
n
d
e
n
s
i
t
y
ca
n
also
b
e
an
a
l
y
s
ed
u
s
in
g
d
a
ta
o
n
n
i
g
h
t ti
m
e
li
g
h
ts
.
P
o
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u
tag
e
s
i
n
u
r
b
an
ar
ea
s
ca
n
al
s
o
b
e
s
p
o
tted
th
r
o
u
g
h
th
e
s
e
d
ata.
T
h
ese
p
o
w
er
b
lack
o
u
ts
co
u
ld
b
e
d
u
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to
d
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d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l
P
o
w
er
E
n
g
,
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
201
9
:
249
–
256
250
n
atu
r
al
ca
la
m
ities
.
I
n
cr
ea
s
e
in
n
ig
h
t
t
i
m
e
r
ad
ia
n
ce
i
m
p
l
ies
p
o
p
u
latio
n
g
r
o
w
th
,
ec
o
n
o
m
ic
g
r
o
w
t
h
a
n
d
i
m
p
r
o
v
ed
liv
i
n
g
s
ta
n
d
ar
d
s
.
T
h
is
p
ap
er
is
b
ased
o
n
d
ata
p
r
o
d
u
cts
f
r
o
m
t
h
e
Vi
s
ib
le
I
n
f
r
ar
ed
I
m
a
g
i
n
g
R
ad
io
m
e
ter
S
u
i
te
(
VI
I
R
S)
n
ig
h
t
ti
m
e
s
e
n
s
o
r
s
.
T
h
e
y
ar
e
also
ca
lled
Day
/
Nig
h
t
B
an
d
,
o
r
DNB
.
E
lv
id
g
e,
Z
h
i
n
zh
i
n
,
Hsu
an
d
B
au
g
h
d
is
cu
s
s
ed
s
atelli
te
p
y
r
o
m
et
r
y
at
n
i
g
h
t a
n
d
also
g
a
v
e
b
ac
k
g
r
o
u
n
d
i
n
f
o
r
m
atio
n
ab
o
u
t t
h
ese
V
I
I
R
S d
ata
[
2
]
.
Ko
el
an
d
Si
m
o
n
m
o
d
elled
cr
u
d
e
b
i
r
th
r
ate
an
d
m
ater
n
al
m
o
r
talit
y
r
atio
o
f
I
n
d
ia
u
s
i
n
g
n
i
g
h
t
tim
e
s
atelli
te
i
m
a
g
e
s
[
3
]
.
Ma
n
n
,
Me
laas
an
d
Ma
llic
k
u
s
ed
VI
I
R
S/DNB
to
m
ea
s
u
r
e
elec
tr
icit
y
s
u
p
p
l
y
r
eliab
ilit
y
in
Ma
h
ar
a
s
tr
a
I
n
d
ia
[
4
]
.
Yu
et
al.
clai
m
t
h
at
VI
I
R
S
d
ata
is
a
u
s
e
f
u
l
to
o
l
f
o
r
ev
alu
a
tin
g
p
o
v
er
t
y
at
co
u
n
t
y
lev
el
i
n
C
h
i
n
a
[
5
]
.
Sh
ar
m
a
et
al.
co
m
b
in
ed
Mo
d
er
ate
R
eso
lu
t
io
n
I
m
a
g
i
n
g
Sp
ec
tr
o
r
ad
io
m
eter
(
MO
DI
S)
-
b
ased
m
u
ltis
p
ec
tr
al
d
ata
w
it
h
t
h
e
Vi
s
ib
le
I
n
f
r
ar
ed
I
m
ag
er
R
ad
io
m
e
ter
Su
ite
(
VI
I
R
S)
-
b
ased
n
ig
h
tti
m
e
l
ig
h
t
(
NT
L
)
d
ata
f
o
r
r
o
b
u
s
t
ex
tr
ac
tio
n
an
d
m
ap
p
in
g
o
f
u
r
b
an
b
u
ilt
-
u
p
ar
ea
s
[
6
]
.
Do
u
,
L
i
u
,
He
an
d
Hu
e
u
s
ed
VI
I
R
S
d
ata
f
o
r
u
r
b
an
lan
d
ex
tr
ac
tio
n
[
7
]
.
I
n
t
h
is
p
ap
er
a
d
etailed
s
tatis
tical
a
n
a
l
y
s
is
o
f
d
y
n
a
m
ics
o
f
ch
a
n
g
e
i
n
N
ig
h
t
R
ad
ia
n
ce
D
ata
R
H
i
s
d
o
n
e.
R
ea
l
ti
m
e
r
ad
ian
ce
d
ata
is
m
o
n
i
to
r
ed
f
r
o
m
2
Sep
te
m
b
er
2
0
1
8
,
2
1
:1
6
h
o
u
r
s
to
4
Sep
te
m
b
er
2
0
1
8
,
1
:5
6
h
o
u
r
s
.
T
h
is
d
ata
is
d
a
y
a
n
d
n
ig
h
t
b
an
d
r
ad
ian
ce
s
atellite
d
ata.
T
h
is
is
a
d
etailed
a
n
al
y
s
is
o
f
s
ate
llit
e
d
ata
m
o
n
ito
r
ed
f
o
r
2
8
h
o
u
r
s
.
T
h
e
r
esu
lt
s
o
b
tain
ed
h
er
e
h
elp
u
s
to
id
en
ti
f
y
u
n
d
er
l
y
i
n
g
tr
e
n
d
s
an
d
p
atter
n
s
i
n
t
h
e
b
eh
av
io
u
r
o
f
t
h
is
d
ata.
E
n
er
g
y
co
n
s
u
m
p
t
io
n
d
y
n
a
m
ics
f
r
o
m
r
e
n
e
w
ab
le
an
d
n
o
n
r
e
n
e
w
a
b
le
s
o
u
r
ce
s
u
s
ed
in
n
ig
h
t
li
g
h
t
ill
u
m
i
n
atio
n
ca
n
b
e
ex
p
lai
n
ed
w
it
h
t
h
ese
b
eh
a
v
io
u
r
s
.
T
h
e
r
es
u
lts
o
b
tain
ed
h
er
e
ca
n
b
e
u
s
ed
i
n
an
al
y
s
is
o
f
lo
n
g
ter
m
ti
m
e
s
er
ies d
a
y
an
d
n
i
g
h
t b
an
d
r
ad
ian
c
e
d
ata.
T
h
e
m
ain
co
n
tr
ib
u
tio
n
s
o
f
th
i
s
s
t
u
d
y
ar
e
as
f
o
llo
w
s
:
1
)
Stat
is
tical
a
n
al
y
s
i
s
o
f
b
eh
a
v
io
u
r
o
f
d
a
y
an
d
n
ig
h
t
b
an
d
r
a
d
ian
ce
r
ea
l
ti
m
e
R
H
d
ata
f
o
r
a
p
er
io
d
o
f
2
8
h
o
u
r
s
;
2
)
Stat
is
tical
an
al
y
s
is
o
f
b
eh
av
io
u
r
o
f
f
ir
s
t
o
r
d
er
d
if
f
er
en
ce
o
f
th
i
s
R
H
d
ata;
3
)
R
eg
r
ess
io
n
o
f
f
ir
s
t
o
r
d
er
d
if
f
er
en
ce
o
f
R
H
o
n
R
H
d
ata
o
v
er
1
1
0
ti
m
e
in
ter
v
a
ls
an
d
a
n
al
y
s
is
o
f
b
eh
a
v
io
u
r
o
f
1
1
0
v
alu
e
s
o
f
s
lo
p
es a
n
d
I
n
ter
ce
p
ts
o
b
tain
ed
o
f
th
is
2
8
h
o
u
r
d
ata.
T
h
e
r
esear
ch
q
u
esti
o
n
s
o
f
th
is
s
tu
d
y
ar
e:
1
)
Ho
w
d
o
es
d
a
y
a
n
d
n
i
g
h
t
b
an
d
r
ad
ian
ce
R
H
b
e
h
av
e
o
v
er
a
r
ea
l
ti
m
e
i
n
ter
v
al
o
f
2
8
h
o
u
r
s
?
2
)
H
o
w
is
it
r
elate
d
to
it
s
f
ir
s
t
o
r
d
er
d
if
f
er
e
n
ce
?
3
)
W
h
at
ar
e
th
e
u
n
d
er
l
y
i
n
g
tr
en
d
s
an
d
p
atter
n
s
i
n
t
h
ese
t
wo
v
ar
iab
les?
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
Da
t
a
T
h
er
e
ar
e
8
9
3
6
o
b
s
er
v
atio
n
s
o
n
ti
m
e
s
er
ie
s
o
f
n
i
g
h
t
r
ad
ian
ce
R
H
d
ata
m
ea
s
u
r
ed
b
y
v
ar
iab
l
e
R
ad
iativ
e
O
u
tp
u
t
w
it
h
u
n
it
W
/
m
2
.
O
n
d
i
f
f
er
en
t
ti
m
es
r
an
g
in
g
f
r
o
m
2
1
:1
6
h
o
u
r
s
o
n
2
Sep
t
e
m
b
er
2
0
1
8
to
1
:5
6
h
o
u
r
s
o
n
4
Sp
te
m
b
er
2
0
1
8
,
th
er
e
ar
e
1
2
2
in
ter
v
als
o
f
v
a
l
u
es
tak
e
n
b
y
f
ac
to
r
ti
m
e
.
T
h
i
s
s
ate
llit
e
d
ata
is
a
p
r
o
d
u
ct
o
f
Natio
n
al
A
er
o
n
a
u
ti
cs
an
d
Sp
ac
e
A
d
m
i
n
i
s
tr
atio
n
(
NA
S
A
)
.
T
h
e
y
p
r
o
v
id
e
r
ea
l
-
ti
m
e
i
m
a
g
er
y
o
f
o
u
r
n
ig
h
t
ti
m
e
w
o
r
ld
.
T
h
ese
i
m
a
g
er
y
p
r
o
d
u
cts
ar
e
f
r
o
m
th
e
Vis
ib
le
I
n
f
r
ar
ed
I
m
ag
i
n
g
R
ad
io
m
eter
Su
i
te
(
VI
I
R
S)
n
ig
h
t
ti
m
e
s
en
s
o
r
s
.
T
h
e
y
ar
e
also
ca
lled
Da
y
/Ni
g
h
t
B
a
n
d
,
o
r
DNB
.
T
h
is
p
ap
er
u
s
e
s
VI
I
R
S
DNB
r
ad
ian
ce
d
ata.
DNB
im
ag
er
y
h
as
w
id
e
r
an
g
e
o
f
ap
p
licatio
n
s
.
T
h
eir
p
r
i
m
ar
y
p
u
r
p
o
s
e
is
to
s
u
p
p
o
r
t
s
h
o
r
t
ter
m
w
ea
th
e
r
p
r
ed
ictio
n
s
an
d
d
i
s
aster
r
esp
o
n
s
e
co
m
m
u
n
it
y
[
8
]
.
A
n
u
m
b
er
o
f
s
o
u
r
ce
s
co
n
tr
ib
u
te
t
o
th
e
D
NB
s
i
g
n
a
l,
in
cl
u
d
in
g
ci
t
y
li
g
h
ts
,
l
ig
h
t
n
i
n
g
,
f
i
s
h
i
n
g
f
leet
n
av
i
g
atio
n
li
g
h
t
s
,
g
a
s
f
lar
es,
la
v
a
f
lo
w
s
,
an
d
e
v
en
au
r
o
r
as.
W
h
e
n
p
ar
tial
to
f
u
ll
ill
u
m
i
n
atio
n
f
r
o
m
t
h
e
m
o
o
n
is
av
ai
lab
le,
r
ef
le
ctio
n
o
f
t
h
i
s
l
u
n
ar
i
llu
m
i
n
atio
n
o
f
f
o
f
ice,
s
n
o
w
,
an
d
o
th
er
h
i
g
h
l
y
r
e
f
lecti
v
e
s
u
r
f
ac
es e
n
ab
le
th
e
s
tu
d
y
o
f
o
ce
an
an
d
ter
r
estrial
f
ea
tu
r
e
s
.
VI
I
R
S
is
a
s
ca
n
n
i
n
g
r
ad
io
m
e
t
er
o
n
b
o
ar
d
th
e
Su
o
m
i
Na
tio
n
a
l
P
o
lar
P
ar
tn
er
s
h
ip
(
SNP
P
)
Satellite.
T
h
e
VI
I
R
S c
o
llects
v
is
ib
le
a
n
d
in
f
r
ar
ed
im
a
g
er
y
a
n
d
r
ad
io
m
etr
ic
m
ea
s
u
r
e
m
e
n
t
s
o
f
la
n
d
,
at
m
o
s
p
h
er
e
an
d
o
ce
an
s
.
I
t
is
s
e
n
s
iti
v
e
to
2
2
w
a
v
elen
g
t
h
b
an
d
s
,
in
c
lu
d
i
n
g
a
DNB
w
it
h
7
5
0
-
m
r
eso
l
u
tio
n
.
T
h
e
D
NB
is
s
en
s
iti
v
e
t
o
v
i
s
ib
le
an
d
n
ea
r
–
in
f
r
ar
ed
w
a
v
ele
n
g
th
s
r
an
g
i
n
g
f
r
o
m
d
a
y
li
g
h
t
d
o
w
n
to
lo
w
lev
el
s
o
f
n
i
g
h
t
ti
m
e
r
ad
ian
ce
.
T
h
e
ab
ilit
y
o
f
t
h
e
DNB
to
d
etec
t
t
h
e
lo
w
lev
el
s
o
f
v
is
ib
le
li
g
h
t
p
r
esen
t
at
n
i
g
h
t
m
ak
e
s
it
w
ell
s
u
ite
d
to
s
t
u
d
y
i
n
g
n
ig
h
t
lig
h
ts
[
4
,
9
]
.
VI
I
R
S
s
e
n
s
o
r
s
h
a
v
e
h
ig
h
er
r
eso
lu
tio
n
a
n
d
d
etec
t
lo
w
li
g
h
t
b
etter
th
an
o
ld
er
Def
e
n
ce
Me
teo
r
o
lo
g
ical
Satellite
P
r
o
g
r
a
m
Op
er
atio
n
al
L
i
n
esca
n
S
y
s
te
m
(
DM
SP
-
O
L
S)
s
y
s
te
m
[
1
0
,
1
1
]
.
L
etu
,
Nak
aj
i
m
a
an
d
Ni
s
h
io
esti
m
ate
d
th
e
co
2
e
m
is
s
io
n
b
y
p
o
w
er
p
lan
ts
u
s
i
n
g
DM
SP
-
O
L
S o
f
VI
I
R
S d
ata
[
1
2
]
.
R
y
b
n
ik
o
v
a
an
d
P
o
r
tn
o
v
clai
m
th
at
VI
I
R
S
d
ata
g
iv
es
m
o
r
e
ac
cu
r
ate
r
esu
lt
s
th
a
n
DM
SP
–
OL
S
d
ata
w
h
e
n
f
i
n
d
i
n
g
co
r
r
elatio
n
b
et
wee
n
i
n
cid
en
ce
o
f
b
r
ea
s
t c
a
n
ce
r
an
d
ar
tif
ic
ial
li
g
h
t
s
at
n
i
g
h
t [
1
3
]
.
Si
m
ilar
l
y
S
h
i e
t
al.
clai
m
th
a
t
VI
I
R
S
d
ata
ar
e
b
etter
in
f
o
r
e
ca
s
ti
n
g
to
tal
f
r
ei
g
h
t
tr
af
f
ic
f
o
r
C
h
i
n
a
th
a
n
DM
SP
-
O
L
S
d
ata
[
1
4
]
.
Satellite
d
ata
ca
n
b
e
u
s
ed
to
m
o
n
ito
r
v
ar
io
u
s
p
ar
a
m
eter
s
r
elate
d
to
ea
r
th
’
s
en
v
ir
o
n
m
en
t.
Nea
r
r
ea
l
ti
m
e
m
o
n
ito
r
i
n
g
o
f
ec
o
s
y
s
te
m
u
s
in
g
s
atell
ite
r
e
m
o
te
s
e
n
s
i
n
g
w
as
p
r
o
p
o
s
ed
b
y
Ver
b
ess
elt,
Z
eil
ei
s
an
d
Her
o
ld
[
1
5
]
.
2
.
2
.
Ana
ly
s
is
o
f
2
8
ho
urs
nea
r
re
a
l t
im
e
da
t
a
a.
B
o
x
plo
t
s
B
o
x
p
lo
ts
p
r
o
v
id
e
v
is
u
a
l
s
u
m
m
ar
y
o
f
d
ata
i
n
ter
m
s
o
f
q
u
ar
tiles
a
n
d
v
ar
ia
n
ce
.
T
h
u
s
it
is
m
o
r
e
p
o
w
er
f
u
l
w
a
y
o
f
d
ata
r
ep
r
esen
tat
io
n
t
h
a
n
a
tab
u
lar
r
ep
r
esen
tatio
n
.
B
y
t
h
e
u
s
e
o
f
b
o
x
p
lo
ts
i
m
p
o
r
tan
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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ta
tis
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a
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f n
ig
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d
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R
H
u
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in
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I
I
R
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a
y/n
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g
h
t
b
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s
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tellite time
…
(
Jy
o
ti U.
Dev
ko
ta
)
251
in
f
o
r
m
atio
n
ca
n
b
e
co
m
m
u
n
i
ca
ted
an
d
ab
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o
r
b
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i
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ce
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t
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1
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.
B
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[
1
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3.
RE
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ig
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ize
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ited
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ig
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Ro
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.
Jo
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B.
Yu
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S
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Hu
,
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Hu
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Ch
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H
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ra
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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A
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P
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E
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,
Vo
l.
8
,
No
.
3
,
Dec
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b
er
201
9
:
249
–
256
256
[1
4
]
K.
S
h
i,
B.
Yu
,
Y.
Hu
,
C.
Hu
a
n
g
,
Y.
Ch
e
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,
Y
.
Hu
a
n
g
,
Z.
Ch
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&
J.
W
u
, "
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p
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to
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g
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in
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ig
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li
g
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c
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&
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sin
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3,
p
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5
]
J.
V
e
rb
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lt
,
A
.
Zeileis
a
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d
M
.
He
ro
ld
,
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l
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ti
m
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6
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D.
F
.
W
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laim
so
n
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R.
A
.
P
a
rk
e
r
a
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F
.
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n
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x
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7
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tatisti
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B
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