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d
etec
tio
n
,
co
n
tin
u
o
u
s
m
o
n
ito
r
in
g
,
an
d
au
to
m
atic
in
ter
p
r
etatio
n
o
f
wate
r
q
u
ality
d
ata
h
as
b
ee
n
d
ep
lo
y
e
d
in
t
h
is
r
eg
io
n
.
Mo
r
e
o
v
er
,
th
e
in
teg
r
atio
n
o
f
I
o
T
,
e
d
g
e
-
b
ased
a
r
tific
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in
tellig
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ce
(
E
d
g
e
AI
)
,
an
d
e
x
p
lain
ab
le
m
o
d
elin
g
a
p
p
r
o
ac
h
es
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ed
to
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e
s
p
ec
if
ic
c
h
ar
ac
ter
is
tics
o
f
th
e
Mo
u
lo
u
y
a
B
asin
r
em
ain
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lar
g
ely
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n
ex
p
lo
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ed
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T
o
o
v
er
c
o
m
e
th
ese
is
s
u
es,
th
is
wo
r
k
p
r
esen
ts
a
h
o
lis
tic
I
o
T
-
E
d
g
e
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AI
-
XAI
ar
ch
itectu
r
e
d
esig
n
f
o
r
r
ea
l
-
tim
e
wate
r
q
u
ality
m
o
n
it
o
r
in
g
.
T
h
is
wo
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k
e
n
co
m
p
ass
e
s
co
n
tin
u
o
u
s
I
o
T
s
en
s
in
g
,
e
d
g
e
co
m
p
u
tatio
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s
o
f
wate
r
q
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ality
in
d
e
x
(
W
QI
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,
p
r
ed
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u
s
in
g
en
s
em
b
le
ap
p
r
o
ac
h
es,
clo
u
d
a
n
aly
tics
,
an
d
S
h
ap
ley
a
d
d
itiv
e
ex
p
lan
atio
n
s
(
SHAP
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-
b
ased
e
x
p
lain
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ilit
y
t
o
ex
p
lain
ea
c
h
p
r
e
d
ictio
n
r
esu
lt.
A
c
o
m
p
r
e
h
en
s
iv
e
en
d
-
to
-
e
n
d
p
r
o
to
ty
p
e
was
d
ev
elo
p
ed
u
s
in
g
o
p
en
-
s
o
u
r
ce
r
eso
u
r
ce
s
an
d
ev
alu
ated
th
r
o
u
g
h
s
im
u
latio
n
,
en
ab
lin
g
th
e
em
u
latio
n
o
f
r
ea
lis
tic
s
en
s
o
r
b
eh
av
io
r
,
co
n
n
ec
tiv
ity
d
is
r
u
p
tio
n
s
,
ed
g
e
f
allb
ac
k
m
ec
h
a
n
is
m
s
,
an
d
r
ea
l
-
tim
e
v
is
u
aliza
tio
n
s
.
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h
e
n
o
v
elty
o
f
th
is
r
esear
ch
is
to
p
r
o
v
e
th
at
E
d
g
e
AI
an
d
X
AI
ca
n
wo
r
k
h
an
d
-
in
-
h
an
d
with
i
n
an
I
o
T
-
cl
o
u
d
s
y
s
tem
to
ac
co
m
p
lis
h
wate
r
q
u
ality
m
o
n
ito
r
in
g
task
s
th
at
ar
e
b
o
th
r
esil
ien
t,
tr
an
s
p
ar
en
t,
an
d
p
er
f
o
r
m
ed
in
r
ea
l
-
tim
e.
C
o
m
p
ar
ed
to
o
th
er
s
tu
d
ies,
th
is
wo
r
k
is
u
n
iq
u
e
b
ec
au
s
e
it
o
f
f
er
s
:
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a
f
u
n
ctio
n
a
l
p
r
o
to
ty
p
e
en
v
ir
o
n
m
en
t
th
at
s
im
u
lates
a
tr
u
e
-
to
-
life
s
ettin
g
,
ii)
a
tr
ac
ea
b
le
f
o
r
ec
ast
en
g
in
e
th
at
is
ca
p
ab
le
o
f
p
o
in
tin
g
o
u
t
wh
at
f
ac
to
r
s
co
n
tr
ib
u
te
to
v
ar
iab
ilit
y
with
in
W
QI
,
an
d
iii)
a
v
er
s
atile
s
y
s
tem
d
esig
n
am
en
ab
le
to
m
o
r
e
in
tr
icate
wate
r
s
h
ed
s
lik
e
th
e
Mo
u
lo
u
y
a
B
asin
.
T
h
e
o
u
tco
m
es
p
r
o
v
e
th
at
th
is
wo
r
k
is
an
im
p
r
o
v
e
m
en
t
o
v
er
o
t
h
er
ap
p
r
o
ac
h
es to
war
d
m
ak
in
g
s
m
ar
t a
n
d
tr
u
s
tf
u
l
m
o
n
ito
r
in
g
s
y
s
tem
s
.
R
ec
en
t
r
esear
ch
in
wate
r
r
eso
u
r
ce
s
m
an
ag
em
e
n
t
h
ig
h
lig
h
ts
a
g
r
o
win
g
s
h
if
t
to
war
d
in
teg
r
atin
g
I
o
T
,
e
d
g
e
c
o
m
p
u
tin
g
,
an
d
AI
f
o
r
a
m
o
r
e
r
esp
o
n
s
iv
e
a
n
d
in
t
ellig
en
t
ass
ess
m
en
t
o
f
th
e
wate
r
s
y
s
tem
.
T
h
is
co
n
v
er
g
en
ce
m
eth
o
d
aim
s
to
o
v
er
co
m
e
th
e
ch
allen
g
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o
f
ce
n
tr
alize
d
m
o
n
ito
r
i
n
g
ar
ch
itec
tu
r
es
b
y
r
elo
ca
tin
g
an
aly
tical
ca
p
ab
ilit
ies
clo
s
er
to
d
ata
s
o
u
r
ce
s
.
I
t
th
e
r
eb
y
im
p
r
o
v
es
s
y
s
tem
r
ea
ctiv
ity
,
s
ca
lab
i
lity
,
an
d
l
o
n
g
-
te
r
m
s
u
s
tain
ab
ilit
y
ef
f
o
r
ts
[
1
]
,
[
2
]
,
[
7
]
.
Go
wr
i
et
a
l.
[
1
]
ex
p
lain
h
o
w
in
tellig
en
t
wate
r
m
a
n
ag
e
m
en
t
s
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tem
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n
m
o
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ize
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d
r
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r
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in
f
r
astru
ct
u
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y
in
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g
r
atin
g
I
o
T
,
ed
g
e
c
o
m
p
u
ti
n
g
,
an
d
AI
.
T
h
e
au
th
o
r
s
em
p
h
asize
d
ec
en
tr
alize
d
d
ec
is
io
n
-
m
ak
in
g
as
a
k
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f
a
cto
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f
o
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o
p
tim
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o
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ito
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,
d
is
tr
ib
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tio
n
,
a
n
d
q
u
ality
co
n
tr
o
l
.
T
h
ey
also
id
en
tify
s
o
cio
-
tech
n
ical
b
ar
r
ier
s
,
s
u
ch
as in
ter
o
p
er
a
b
ilit
y
an
d
p
o
licy
in
teg
r
atio
n
.
Als
o
,
J
in
et
a
l.
[
2
]
d
is
cu
s
s
s
m
ar
t
wate
r
m
a
n
ag
em
e
n
t
in
r
elat
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to
d
ig
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tr
an
s
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o
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m
atio
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,
wh
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th
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tify
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illar
s
:
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o
T
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ab
led
s
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s
in
g
,
d
ig
ital
twin
s
f
o
r
d
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a
m
ic
wate
r
d
is
p
atch
in
g
,
in
tellig
en
t
em
er
g
en
cy
r
esp
o
n
s
e,
a
n
d
co
llab
o
r
ativ
e
m
an
a
g
em
en
t.
T
h
e
s
e
ex
am
p
les
illu
s
tr
ate
th
at
th
er
e
is
a
g
r
o
win
g
in
ter
est
with
in
th
is
co
m
m
u
n
ity
to
lev
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r
ag
e
c
y
b
er
-
p
h
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s
ical
ap
p
r
o
ac
h
es
th
at
co
m
b
in
e
s
en
s
in
g
in
f
r
astru
ctu
r
es
with
d
ig
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twin
s
.
E
d
g
e
co
m
p
u
tin
g
p
lay
s
a
cr
u
cial
r
o
le
in
en
h
an
cin
g
b
a
n
d
wid
th
ef
f
icien
cy
an
d
r
esil
ien
ce
at
th
e
o
p
er
atio
n
al
lev
el.
Sre
ed
ev
i
et
a
l.
[
7
]
p
r
esen
t
an
ed
g
e
-
s
u
p
p
o
r
ted
m
o
n
ito
r
in
g
f
r
am
ew
o
r
k
u
s
in
g
No
d
e
-
R
E
D
-
b
ased
p
r
ep
r
o
ce
s
s
in
g
.
T
h
ey
ac
h
iev
e
s
ig
n
if
ican
t
r
ed
u
ctio
n
s
in
co
m
m
u
n
icatio
n
(
m
o
r
e
th
an
7
0
%)
o
v
er
h
ea
d
with
o
u
t
d
eg
r
ad
in
g
aler
tin
g
ac
cu
r
ac
y
.
Su
ch
lo
ca
lized
co
m
p
u
tin
g
s
tr
ateg
ies
ar
e
p
ar
ticu
lar
ly
r
ele
v
an
t
f
o
r
r
u
r
al
an
d
b
asin
-
s
ca
le
m
o
n
ito
r
in
g
co
n
te
x
ts
s
u
ch
as th
e
Mo
u
lo
u
y
a
R
iv
er
.
K
u
k
ad
i
y
a
an
d
M
ev
a
[
3
]
d
es
c
r
i
b
e
a
b
r
o
ad
r
a
n
g
e
o
f
I
o
T
ap
p
l
i
c
a
t
io
n
s
w
i
t
h
in
s
m
a
r
t
c
i
t
y
w
a
t
er
m
a
n
ag
e
m
en
t
,
in
c
lu
d
in
g
wa
t
e
r
q
u
a
l
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ty
m
o
n
i
t
o
r
in
g
,
l
e
ak
s
,
co
n
s
u
m
p
t
i
o
n
a
n
a
l
y
t
i
c
s
,
a
n
d
f
lo
o
d
p
r
e
d
ic
t
i
o
n
.
T
h
i
s
l
i
t
e
r
a
t
u
r
e
r
ev
i
e
w
s
h
o
w
s
b
o
th
w
h
a
t
i
s
p
o
s
s
i
b
l
e
w
i
th
I
o
T
o
n
a
m
a
s
s
s
c
a
l
e
a
n
d
wh
a
t
is
n
o
t
,
p
a
r
t
i
cu
l
a
r
ly
c
o
n
ce
r
n
in
g
cy
b
er
s
e
c
u
r
i
t
y
,
co
m
p
a
t
i
b
i
l
i
ty
,
a
n
d
e
x
p
e
n
s
e
s
.
A
s
co
m
p
l
e
m
en
t
a
r
y
w
o
r
k
to
s
u
c
h
c
i
ty
-
c
en
t
r
i
c
r
e
s
e
a
r
ch
,
S
a
th
i
o
e
t
a
l
.
[
4
]
o
f
f
e
r
a
r
e
a
l
-
t
i
m
e
in
d
u
s
t
r
i
a
l
w
a
te
r
p
o
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l
u
t
io
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a
s
s
e
s
s
m
en
t
s
y
s
t
em
i
n
t
eg
r
a
t
in
g
I
o
T
t
e
c
h
n
o
l
o
g
y
w
i
t
h
E
d
g
e
C
l
o
u
d
p
r
o
c
e
s
s
i
n
g
.
E
m
p
lo
y
in
g
m
u
l
t
i
p
ar
a
m
e
t
er
p
r
o
b
e
s
s
u
ch
as
p
H
,
t
e
m
p
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r
a
tu
r
e
,
t
u
r
b
id
i
t
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,
an
d
to
t
a
l
d
i
s
s
o
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v
ed
s
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l
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s
(
T
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,
t
h
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y
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u
c
c
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d
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m
o
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s
t
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p
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s
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v
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d
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c
t
io
n
r
e
g
ar
d
in
g
co
n
t
am
i
n
a
t
io
n
,
p
r
o
v
in
g
th
e
e
f
f
e
c
t
i
v
e
n
e
s
s
o
f
h
y
b
r
i
d
E
d
g
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C
l
o
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d
ar
c
h
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t
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c
tu
r
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w
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th
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v
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m
en
t
a
l
m
o
n
i
to
r
in
g
a
p
p
l
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c
a
t
i
o
n
s
.
Desp
ite
s
u
ch
b
r
ea
k
th
r
o
u
g
h
s
,
th
er
e
ex
is
t
s
o
m
e
g
ap
s
t
o
f
ill.
Mo
s
t
av
ailab
le
s
o
lu
tio
n
s
ex
i
s
t
f
o
r
d
ata
ac
q
u
is
itio
n
an
d
/o
r
v
is
u
aliza
ti
o
n
asp
ec
ts
b
u
t
f
ail
to
en
co
m
p
ass
ed
g
e
an
aly
tics
,
b
ig
d
ata
an
aly
tics
,
an
d
XAI
to
g
eth
er
.
Fu
r
th
er
,
th
ese
wo
r
k
s
d
o
n
o
t
in
co
r
p
o
r
ate
asp
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ts
r
elate
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to
m
o
d
el
ex
p
lain
ab
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y
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d
r
et
r
ain
ab
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u
e
to
v
ar
y
in
g
h
y
d
r
o
l
o
g
ical
co
n
d
itio
n
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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8
9
3
8
A
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tellig
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t a
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ex
p
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in
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-
C
lo
u
d
a
r
ch
itectu
r
e
fo
r
r
ea
l
-
time
w
a
ter q
u
a
lity
…
(
S
a
r
a
B
o
u
z
ia
n
e
)
1111
2.
P
RO
P
O
SE
D
ARCH
I
T
E
CT
URE
Owin
g
to
tech
n
o
lo
g
ical
an
d
m
eth
o
d
o
l
o
g
ical
g
a
p
s
id
en
tifie
d
b
y
s
o
m
e
r
ec
en
t
s
tu
d
ies
[
1
]
,
[
2
]
,
[
4
]
,
[
7
]
,
th
is
p
ap
er
attem
p
ts
to
p
r
esen
t
an
in
tellig
en
t
an
d
ex
p
la
in
ab
le
s
y
s
tem
ar
ch
itectu
r
e
f
o
r
co
n
tin
u
o
u
s
an
d
in
ter
p
r
etab
le
wate
r
q
u
ality
ass
ess
m
en
t.
T
h
e
in
v
o
lv
ed
ar
ch
i
tectu
r
e
o
f
th
is
s
y
s
tem
co
n
s
is
t
s
o
f
f
i
v
e
f
u
n
ctio
n
a
l
lay
er
s
:
s
en
s
in
g
,
E
d
g
e
AI
,
clo
u
d
an
al
y
tics
,
ex
p
lain
a
b
ilit
y
,
a
n
d
ap
p
licatio
n
.
E
ac
h
la
y
er
w
o
r
k
s
in
d
e
p
en
d
e
n
tly
,
b
u
t
th
ey
ar
e
in
ter
c
o
n
n
ec
te
d
v
ia
m
ess
ag
e
q
u
eu
i
n
g
telem
et
r
y
tr
an
s
p
o
r
t
p
r
o
to
c
o
l
(
MQ
T
T
)
[
2
]
,
[
7
]
.
I
t
is
a
n
ex
ten
s
io
n
to
th
e
p
r
e
v
io
u
s
ly
d
ev
elo
p
e
d
b
ig
d
ata
s
y
s
tem
b
y
au
th
o
r
s
f
o
r
in
tellig
en
t
m
a
n
ag
em
en
t
o
f
wate
r
r
eso
u
r
ce
s
[
8
]
,
in
co
r
p
o
r
atin
g
r
ea
l
-
tim
e,
ed
g
e
-
lev
el
in
tellig
en
ce
,
an
d
in
te
r
p
r
etab
ilit
y
.
T
h
is
d
esig
n
in
co
r
p
o
r
ates
lo
w
laten
cy
p
r
o
ce
s
s
in
g
,
ad
ap
tab
ilit
y
d
u
r
in
g
lear
n
in
g
p
r
o
ce
s
s
es,
an
d
e
x
p
lain
ab
ilit
y
with
in
AI
-
d
r
iv
en
d
ec
is
io
n
s
u
p
p
o
r
t.
2
.
1
.
L
a
y
er
1
–
t
he
s
ens
ing
la
y
er
T
h
e
s
en
s
in
g
lay
e
r
co
m
p
r
is
es
a
d
is
tr
ib
u
ted
n
etwo
r
k
o
f
I
o
T
d
ev
ices,
ea
ch
o
u
tf
itted
with
s
p
ec
ialized
m
u
lti
-
p
ar
am
eter
p
r
o
b
es
s
p
ec
if
ically
d
esig
n
ed
to
m
ea
s
u
r
e
a
d
iv
er
s
e
ar
r
a
y
o
f
p
h
y
s
ico
ch
em
ical
ch
ar
ac
ter
is
tics
.
T
h
is
s
etu
p
f
ac
ilit
ates
d
ata
c
o
llectio
n
an
d
ea
r
l
y
d
etec
tio
n
o
f
co
n
tam
in
an
ts
[
9
]
.
Data
t
r
an
s
m
is
s
io
n
o
cc
u
r
s
th
r
o
u
g
h
v
ar
io
u
s
co
m
m
u
n
icati
o
n
p
r
o
t
o
co
ls
,
in
clu
d
in
g
W
i
-
Fi,
GSM/4
G,
an
d
L
o
R
aWA
N,
s
e
lecte
d
b
ased
o
n
th
e
g
eo
g
r
a
p
h
ic
lo
ca
tio
n
o
f
th
e
m
o
n
ito
r
in
g
s
tatio
n
s
[
9
]
.
T
h
e
s
en
s
o
r
r
ea
d
in
g
s
ar
e
en
ca
p
s
u
lated
i
n
lig
h
tweig
h
t
J
SON
p
ay
lo
ad
s
an
d
t
r
an
s
m
itted
to
a
n
MQ
T
T
b
r
o
k
e
r
,
f
ac
ilit
atin
g
e
f
f
icien
t
d
ata
m
an
ag
e
m
en
t
[
1
0
]
.
T
h
is
ar
ch
itectu
r
al
lay
er
g
u
ar
a
n
tees
ex
ten
s
iv
e
s
p
atial
an
d
tem
p
o
r
al
co
v
er
a
g
e
o
f
wate
r
q
u
ality
m
etr
ics,
th
u
s
estab
lis
h
in
g
r
o
b
u
s
t
f
o
u
n
d
atio
n
f
o
r
s
u
b
-
s
eq
u
en
t a
n
aly
tical
an
d
p
r
e
d
ictiv
e
en
d
ea
v
o
r
s
[
1
1
]
.
2
.
2
.
L
a
y
er
2
–
t
he
edg
e
AI la
y
er
L
o
w
-
p
o
wer
co
m
p
u
tin
g
u
n
its
s
u
ch
as
R
asp
b
er
r
y
Pi
an
d
J
etso
n
Nan
o
p
er
f
o
r
m
r
ea
l
-
tim
e
d
ata
p
r
ep
r
o
ce
s
s
in
g
an
d
in
f
er
e
n
ce
a
t
th
e
n
etwo
r
k
ed
g
e
[
1
2
]
.
T
o
d
ea
l
with
o
u
tlier
s
a
n
d
m
is
s
in
g
v
alu
es,
i
n
co
m
in
g
d
ata
ar
e
f
ilter
ed
,
n
o
r
m
alize
d
,
a
n
d
v
alid
ate
d
[
1
3
]
.
T
h
is
m
eth
o
d
u
s
es
lig
h
tweig
h
t
en
s
em
b
le
lear
n
in
g
m
o
d
els
th
a
t
h
av
e
b
ee
n
im
p
r
o
v
ed
b
y
m
e
tah
eu
r
is
tic
alg
o
r
ith
m
s
lik
e
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
PS
O)
an
d
g
en
etic
alg
o
r
ith
m
s
(
GA)
to
p
r
ed
ict
t
h
e
W
QI
in
r
ea
l
tim
e.
T
h
e
s
y
s
tem
r
ed
u
ce
s
n
etwo
r
k
tr
af
f
i
c
an
d
laten
cy
b
y
p
r
o
ce
s
s
in
g
d
ata
at
th
e
ed
g
e
la
y
er
,
p
r
o
v
id
in
g
im
m
ed
iate
f
ee
d
b
ac
k
ev
e
n
u
n
d
er
in
ter
m
itten
t
co
n
n
ec
tiv
ity
[
1
4
]
.
E
d
g
e
d
e
v
ices
also
b
u
f
f
er
d
ata
d
u
r
in
g
o
u
tag
es
an
d
au
t
o
m
atica
lly
s
y
n
ch
r
o
n
ize
with
th
e
clo
u
d
o
n
ce
co
m
m
u
n
icatio
n
is
r
esto
r
ed
[
1
5
]
.
2
.
3
.
L
a
y
er
3
–
t
he
clo
ud
a
na
ly
t
ics la
y
er
T
h
e
clo
u
d
lay
er
ac
ts
as
th
e
b
ig
d
ata
b
ac
k
b
o
n
e
f
o
r
lar
g
e
-
s
ca
le
s
to
r
ag
e,
p
r
o
ce
s
s
in
g
,
an
d
m
o
d
el
m
an
ag
em
en
t.
A
p
ac
h
e
f
lu
m
e
a
n
d
Ap
ac
h
e
s
q
o
o
p
in
g
est
d
ata
s
tr
ea
m
s
in
to
th
e
Had
o
o
p
d
is
tr
ib
u
ted
f
ile
s
y
s
tem
(
HDFS),
en
ab
lin
g
p
a
r
allel
an
d
f
au
lt
-
t
o
ler
an
t
s
to
r
ag
e
[
1
6
]
.
Ap
ac
h
e
s
p
ar
k
s
tr
ea
m
in
g
p
er
f
o
r
m
s
r
ea
l
-
tim
e
an
aly
tics
,
wh
ile
Ap
ac
h
e
h
iv
e
p
r
o
v
id
es
a
s
tr
u
ctu
r
ed
q
u
er
y
in
ter
f
ac
e
f
o
r
d
ata
ag
g
r
eg
atio
n
an
d
r
etr
iev
al
[
1
7
]
.
T
h
is
in
f
r
astru
ctu
r
e
e
n
ab
les
p
er
io
d
ic
r
etr
ain
in
g
o
f
m
o
d
els
to
e
n
s
u
r
e
th
ey
r
em
ain
ac
c
u
r
ate
an
d
r
elev
an
t
,
ad
ap
tin
g
to
c
h
an
g
i
n
g
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
[
1
8
]
.
T
h
e
r
etr
ain
ed
m
o
d
els
ar
e
v
ali
d
ated
an
d
s
ec
u
r
ely
d
ep
lo
y
e
d
to
ed
g
e
n
o
d
es
u
s
i
n
g
API
s
o
r
m
ess
ag
e
q
u
eu
e
s
.
I
n
th
e
clo
u
d
e
n
v
ir
o
n
m
en
t,
ap
p
licatio
n
s
ar
e
co
n
tain
er
ized
with
Do
ck
e
r
a
n
d
o
r
ch
estra
ted
th
r
o
u
g
h
K
u
b
er
n
etes,
allo
win
g
f
o
r
elastic
s
ca
lab
ilit
y
an
d
f
a
u
lt
to
ler
an
ce
ac
r
o
s
s
d
is
tr
ib
u
ted
d
e
p
lo
y
m
en
ts
[
1
8
]
.
2
.
4
.
L
a
y
er
4
–
t
he
ex
pla
ina
bil
it
y
la
y
er
T
h
e
XAI
lay
er
im
p
r
o
v
es
th
e
in
ter
p
r
etatio
n
a
n
d
u
n
d
er
s
tan
d
i
n
g
o
f
AI
m
o
d
els’
p
r
ed
ictio
n
s
,
wh
ich
is
esp
ec
ially
cr
u
cial
in
en
v
ir
o
n
m
en
tal
m
o
n
ito
r
in
g
[
5
]
.
I
t
u
tili
ze
s
alg
o
r
ith
m
s
s
u
ch
as
S
HAP
,
lo
ca
l
in
ter
p
r
etab
le
m
o
d
el
-
ag
n
o
s
tic
ex
p
lan
atio
n
s
(
L
I
ME
)
,
an
d
p
er
m
u
tatio
n
im
p
o
r
tan
ce
to
d
eter
m
in
e
th
e
in
f
lu
en
ce
o
f
ea
c
h
in
p
u
t
v
ar
iab
le
o
n
th
e
p
r
ed
icte
d
W
QI
[
5
]
,
[
1
9
]
.
Featu
r
e
attr
ib
u
ti
o
n
v
is
u
aliza
tio
n
s
illu
s
tr
ate
h
o
w
p
h
y
s
ico
ch
em
ical
p
ar
am
eter
s
,
s
u
ch
as
elec
tr
ical
co
n
d
u
ctiv
ity
(
E
C
)
,
d
is
s
o
lv
ed
o
x
y
g
e
n
(
DO)
,
an
d
am
m
o
n
iu
m
(
NH
4
)
,
af
f
ec
t
th
e
m
o
d
el’
s
r
esu
lts
,
allo
win
g
en
v
ir
o
n
m
en
tal
e
x
p
er
ts
to
v
alid
ate
an
d
tr
u
s
t th
e
AI
-
s
u
p
p
o
r
ted
d
ec
is
io
n
s
[
1
9
]
.
2
.
5
.
L
a
y
er
5
–
t
he
a
pp
lica
t
io
n la
y
er
T
h
e
ap
p
licatio
n
lay
er
tr
an
s
f
o
r
m
s
an
aly
tical
r
esu
lts
an
d
ex
p
lan
ato
r
y
in
s
ig
h
ts
in
to
ac
tio
n
ab
le
in
tellig
en
ce
th
r
o
u
g
h
in
ter
ac
tiv
e
d
ash
b
o
ar
d
s
[
2
0
]
.
B
y
p
r
o
v
i
d
in
g
f
ea
tu
r
e
-
im
p
o
r
tan
ce
p
lo
ts
p
r
o
d
u
ce
d
b
y
th
e
XAI
lay
er
,
s
p
atial
h
ea
tm
ap
s
o
f
wa
ter
-
q
u
ality
in
d
icat
o
r
s
,
an
d
d
y
n
am
ic
v
is
u
aliza
tio
n
s
o
f
tim
e
-
s
er
ies
tr
en
d
s
,
th
ese
d
ash
b
o
ar
d
s
h
elp
id
e
n
tify
p
o
llu
tio
n
h
o
ts
p
o
ts
an
d
p
r
io
r
ity
in
t
er
v
en
tio
n
zo
n
es
[
1
9
]
,
[
2
0
]
.
Usi
n
g
s
ec
u
r
e
web
an
d
m
o
b
ile
in
ter
f
ac
es,
d
ec
is
io
n
-
m
ak
er
s
m
ay
ac
ce
s
s
co
m
p
lete
r
e
p
o
r
ts
o
r
v
is
u
aliza
tio
n
m
o
d
u
les
,
an
d
wh
en
s
p
ec
if
ic
cr
iter
ia
ar
e
ex
ce
e
d
ed
,
r
ea
l
-
ti
m
e
war
n
in
g
s
a
r
e
au
to
m
atica
lly
g
en
e
r
ated
[
2
0
]
.
T
h
is
lay
er
p
r
o
v
id
es
m
u
lti
-
u
s
er
ac
ce
s
s
,
in
clu
d
in
g
o
p
er
ato
r
s
,
r
e
s
ea
r
ch
er
s
,
an
d
r
eg
u
lato
r
y
a
g
en
cies,
an
d
f
ac
ilit
ates
d
ata
-
d
r
iv
e
n
d
ec
is
io
n
-
m
a
k
in
g
f
o
r
ad
a
p
tiv
e
an
d
s
u
s
tain
ab
le
wate
r
m
an
ag
em
e
n
t
[
2
0
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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2
5
2
-
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20
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6
.
Da
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u
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itted
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u
r
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1
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m
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tr
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cy
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ig
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ates
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p
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lv
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g
en
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itio
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[
1
0
]
,
[
2
1
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.
2
.
7
.
Securit
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re
lia
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d
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th
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co
m
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co
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ity
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is
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io
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[
2
2
]
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itio
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ev
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[
2
3
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.
Fro
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f
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[
2
4
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.
C
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5
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.
I
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I
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8
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3
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A
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1113
3.
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P
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.
1
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x
perim
ent
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up
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en
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lly
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tech
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e
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k
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2
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0
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p
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th
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f
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lay
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s
o
f
th
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r
o
p
o
s
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s
y
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tem
:
s
en
s
in
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e
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tellig
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clo
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u
r
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2
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ates
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ased
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ch
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h
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atic
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s
s
in
g
p
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ase;
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e
q
u
ality
o
f
th
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wa
s
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ize
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d
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r
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eter
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n
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alize
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s
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r
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m
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ar
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ar
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ete
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tr
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n
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s
p
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th
e
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n
ed
d
ataset
in
to
o
n
e
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et
(
7
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%)
f
o
r
tr
ain
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d
o
n
e
s
et
f
o
r
test
in
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(
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to
f
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m
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d
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tr
ain
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g
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v
alid
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n
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d
p
er
f
o
r
m
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ce
esti
m
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.
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n
d
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ct
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n
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s
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en
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in
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ap
p
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o
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h
th
at
u
s
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t
h
r
ee
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ase
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eg
r
ess
o
r
s
:
r
an
d
o
m
f
o
r
est
(
R
F),
XGB
o
o
s
t
,
an
d
a
d
ap
tiv
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b
o
o
s
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g
(
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.
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h
is
ap
p
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ch
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ch
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s
en
d
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its
ab
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to
m
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d
el
co
m
p
lex
an
d
n
o
n
lin
ea
r
r
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s
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ip
s
th
at
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m
m
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ly
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ar
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ize
en
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ir
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n
m
e
n
tal
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atasets
.
Pre
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s
s
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d
ies
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av
e
s
h
o
wn
th
at
e
n
s
em
b
le
s
tr
ateg
ies
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u
tp
er
f
o
r
m
s
in
g
le
m
o
d
els
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y
lev
er
a
g
in
g
t
h
e
co
m
p
lem
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tr
en
g
th
s
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f
d
iv
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s
e
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er
s
an
d
m
itig
ati
n
g
th
eir
in
d
iv
i
d
u
al
b
iases
[
2
0
]
,
[
2
6
]
.
A
r
id
g
e
r
eg
r
ess
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n
m
o
d
el
was
em
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lo
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co
m
b
in
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b
ase
m
o
d
el
p
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ctio
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s
an
d
en
h
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ce
g
en
er
aliza
tio
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er
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ar
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m
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ter
s
f
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ch
lear
n
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e
o
p
tim
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g
g
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b
as
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ch
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o
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s
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o
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tn
ess
an
d
g
en
e
r
aliza
tio
n
,
5
-
f
o
ld
c
r
o
s
s
-
v
alid
atio
n
was
co
n
d
u
cte
d
.
T
h
e
tr
ain
in
g
an
d
h
y
p
er
p
ar
a
m
eter
o
p
tim
iz
atio
n
wer
e
co
n
d
u
cted
in
Py
th
o
n
with
s
cik
it
-
lear
n
f
r
am
e
wo
r
k
.
Fin
ally
,
we
s
er
ialized
th
e
f
in
al
o
p
tim
ized
en
s
em
b
le
m
o
d
el
to
m
o
d
el.
p
k
l
an
d
s
er
v
ed
at
p
r
o
t
o
ty
p
e
ed
g
e
lay
er
f
o
r
r
ea
l
-
tim
e
p
r
ed
ictio
n
o
f
W
QI
f
r
o
m
liv
e
s
en
s
o
r
d
ata
s
tr
ea
m
s
.
Fo
r
o
p
er
atio
n
al
d
e
p
lo
y
m
e
n
t,
th
e
tr
a
in
ed
m
o
d
el
ca
n
b
e
p
er
io
d
ically
r
etr
ain
ed
as
n
ew
s
en
s
o
r
d
ata
b
ec
o
m
e
a
v
ailab
le.
R
etr
ain
in
g
m
ay
b
e
s
ch
ed
u
led
s
ea
s
o
n
ally
o
r
tr
ig
g
er
ed
b
y
p
er
f
o
r
m
an
ce
d
eg
r
ad
atio
n
,
allo
win
g
th
e
s
y
s
tem
to
ad
ap
t
to
lo
n
g
-
ter
m
e
n
v
ir
o
n
m
en
tal
ch
an
g
es
a
n
d
p
o
ten
tial d
ata
d
r
i
f
t.
3
.
3
.
M
o
del per
f
o
rma
nce
ev
a
lua
t
io
n
T
h
is
r
esear
ch
u
s
ed
t
h
e
h
eld
-
o
u
t
test
s
et
(
3
0
%
o
f
th
e
d
ataset
)
as
a
test
s
et
to
ev
alu
ate
th
e
p
r
ed
ictiv
e
p
er
f
o
r
m
an
ce
o
f
th
e
tr
ain
e
d
m
o
d
els.
T
h
e
ass
ess
m
en
t
f
o
cu
s
ed
o
n
th
r
ee
k
ey
m
etr
ics:
th
e
r
o
o
t
m
ea
n
s
q
u
ar
e
e
r
r
o
r
(
R
MSE
)
,
th
e
m
ea
n
ab
s
o
lu
te
e
r
r
o
r
(
MA
E
)
,
a
n
d
th
e
c
o
ef
f
icie
n
t
o
f
d
eter
m
in
atio
n
(
R²
)
.
T
h
e
s
tack
in
g
en
s
em
b
le
ac
h
iev
ed
a
h
i
g
h
R
²
(
0
.
9
4
5
)
,
i
n
d
icatin
g
t
h
at
m
o
r
e
t
h
an
9
4
%
o
f
th
e
v
ar
ian
ce
in
th
e
W
QI
i
s
ex
p
lain
ed
b
y
th
e
m
o
d
el.
T
h
e
l
o
w
R
MSE
(
0
.
1
1
4
9
)
an
d
MA
E
(
0
.
0
8
2
)
v
alu
es
r
ef
lect
m
in
im
al
d
ev
iatio
n
b
et
wee
n
o
b
s
er
v
ed
a
n
d
p
r
ed
icted
W
QI
v
alu
es.
C
r
o
s
s
-
v
alid
atio
n
r
esu
lts
(
0
.
9
0
1
±
0
.
1
2
9
)
f
u
r
th
er
co
n
f
ir
m
e
d
s
tab
le
p
er
f
o
r
m
a
n
ce
ac
r
o
s
s
f
o
ld
s
.
T
h
e
h
ig
h
e
r
v
a
r
ian
ce
r
ef
lects
th
e
lim
ited
d
ataset
s
ize
(
N
=6
6
)
,
a
k
n
o
wn
c
o
n
s
tr
ain
t
i
n
f
ield
-
b
ased
wate
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
n
in
tellig
en
t a
n
d
ex
p
l
a
in
a
b
le
I
o
T
-
E
d
g
e
-
C
lo
u
d
a
r
ch
itectu
r
e
fo
r
r
ea
l
-
time
w
a
ter q
u
a
lity
…
(
S
a
r
a
B
o
u
z
ia
n
e
)
1115
q
u
ality
m
o
n
ito
r
i
n
g
.
T
h
ese
f
in
d
in
g
s
d
em
o
n
s
tr
ate
th
e
s
u
itab
ilit
y
o
f
th
e
p
r
o
p
o
s
ed
en
s
em
b
le
m
o
d
el
f
o
r
ed
g
e
-
lev
el,
r
ea
l
-
tim
e
wate
r
q
u
ality
m
o
n
ito
r
in
g
.
3
.
4
.
Weig
hte
d
wa
t
er
qu
a
lity
ind
ex
co
m
pu
t
a
t
io
n
T
h
e
W
QI
was
ca
lcu
lated
u
s
i
n
g
th
e
weig
h
ted
ar
ith
m
etic
m
eth
o
d
.
E
ac
h
p
h
y
s
ico
ch
e
m
ical
p
ar
am
eter
was
ass
ig
n
ed
a
weig
h
t
(
W
i)
r
an
g
in
g
f
r
o
m
1
t
o
5
ac
co
r
d
i
n
g
to
its
r
elativ
e
im
p
o
r
ta
n
ce
in
ass
ess
in
g
wate
r
q
u
ality
[
2
7
]
.
Fo
r
ea
ch
p
ar
am
eter
,
a
q
u
ality
r
atin
g
(
Qi)
wa
s
d
er
iv
ed
f
r
o
m
th
e
r
atio
b
et
wee
n
th
e
m
ea
s
u
r
ed
co
n
ce
n
tr
atio
n
(
C
i)
an
d
t
h
e
co
r
r
esp
o
n
d
in
g
s
tan
d
ar
d
lim
it (
Si),
u
s
in
g
(
1
)
.
=
(
)
×
100
(
1
)
T
h
e
o
v
e
r
all
W
QI
was c
o
m
p
u
t
ed
as th
e
weig
h
ted
m
ea
n
o
f
all
s
u
b
-
in
d
ices,
u
s
in
g
(
2
)
.
W
Q
I
=
∑
=
1
∑
=
1
(
2
)
I
n
th
is
s
tu
d
y
,
T
DS
wer
e
ca
lc
u
lated
f
r
o
m
E
C
an
d
in
c
o
r
p
o
r
ated
in
to
t
h
e
W
QI
co
m
p
u
tati
o
n
,
u
s
in
g
(
3
)
.
T
h
is
in
clu
s
io
n
p
r
o
v
id
es
a
m
o
r
e
c
o
m
p
r
eh
e
n
s
iv
e
ass
ess
m
en
t
o
f
m
in
er
aliza
tio
n
a
n
d
s
alin
ity
,
wh
ich
ar
e
cr
itical
in
d
icato
r
s
o
f
wate
r
q
u
ality
in
t
h
e
Mo
u
lo
u
y
a
B
asin
.
TDS
=
0
.
64
×
(
3
)
T
h
e
co
m
p
u
ted
W
QI
v
alu
es
wer
e
in
ter
p
r
eted
ac
c
o
r
d
in
g
to
th
e
class
if
icatio
n
p
r
o
p
o
s
ed
[
2
7
]
,
wh
er
e
lo
wer
v
alu
es
d
en
o
te
b
etter
wate
r
q
u
ality
co
n
d
itio
n
s
.
T
h
e
ad
o
p
te
d
class
es
ar
e:
ex
ce
llen
t
(
W
QI
<2
5
)
,
g
o
o
d
(
2
5
≤
W
QI
<5
0
)
,
m
o
d
er
ate
(
5
0
≤
W
QI
<7
5
)
,
p
o
o
r
(
7
5
≤
W
QI
<1
0
0
)
,
an
d
v
er
y
p
o
o
r
(
W
QI
≥
1
0
0
)
.
T
h
ese
W
QI
v
alu
es
p
r
o
v
id
e
a
s
tan
d
a
r
d
ized
s
y
n
th
esis
o
f
th
e
m
ea
s
u
r
ed
p
h
y
s
ico
c
h
em
ical
d
ata,
allo
win
g
co
m
p
a
r
is
o
n
ac
r
o
s
s
s
tatio
n
s
an
d
s
am
p
lin
g
p
er
io
d
s
.
T
h
ey
also
s
er
v
e
as
q
u
a
n
titativ
e
r
ef
er
en
ce
tar
g
ets
f
o
r
m
o
d
el
tr
ain
in
g
a
n
d
f
o
r
v
alid
atin
g
th
e
p
r
ed
ictiv
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
ed
g
e
d
ep
l
o
y
ed
en
s
em
b
le
m
o
d
el.
3
.
5
.
Sim
ula
t
i
o
n pro
ce
du
re
T
h
e
s
en
s
in
g
lay
e
r
was
em
u
l
ated
th
r
o
u
g
h
a
Py
th
o
n
b
ased
s
im
u
lato
r
th
at
c
o
n
tin
u
o
u
s
ly
p
u
b
lis
h
ed
r
ea
lis
tic
wate
r
q
u
ality
r
ea
d
in
g
s
(
p
H,
E
C
,
DO,
B
OD
5
,
PO
4
,
NH
4
,
SO
4
,
NO
3
,
an
d
T
°C
)
to
th
e
MQ
T
T
to
p
ic
m
o
u
lo
u
y
a/sen
s
o
r
s
at
th
r
ee
-
s
ec
o
n
d
i
n
ter
v
als.
T
h
e
E
d
g
e
AI
s
e
r
v
ice
s
u
b
s
cr
ib
e
d
to
th
is
to
p
ic
a
n
d
co
m
p
u
te
d
a
r
ea
l
tim
e
W
QI
b
ased
o
n
t
h
e
weig
h
ted
ag
g
r
e
g
atio
n
o
f
all
p
ar
am
et
er
s
,
wh
ile
s
im
u
ltan
eo
u
s
ly
g
e
n
er
atin
g
a
p
r
ed
icted
W
QI
u
s
in
g
th
e
tr
ain
ed
e
n
s
em
b
le
m
o
d
el
(
m
o
d
el.
p
k
l)
.
T
h
e
r
esu
ltin
g
d
ata
s
tr
ea
m
was
p
u
b
lis
h
ed
to
th
e
to
p
i
c
m
o
u
lo
u
y
a/p
r
ed
ictio
n
s
,
wh
ich
f
ed
th
e
n
ode
-
R
E
D
d
ash
b
o
a
r
d
f
o
r
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
an
d
an
aly
s
is
.
T
h
e
d
ash
b
o
ar
d
d
is
p
lay
ed
b
o
th
th
e
co
m
p
u
ted
(
r
ea
l)
a
n
d
m
o
d
el
-
esti
m
ated
(
p
r
ed
icted
)
W
QI
v
alu
es
o
v
er
tim
e.
A
d
u
al
-
s
er
ies
g
r
ap
h
en
ab
led
d
ir
ec
t
c
o
m
p
ar
is
o
n
b
e
twee
n
th
e
two
o
u
tp
u
ts
,
allo
wi
n
g
v
alid
atio
n
o
f
th
e
r
esp
o
n
s
iv
en
ess
an
d
th
e
c
o
n
s
is
ten
cy
o
f
t
h
e
m
o
d
el
u
n
d
e
r
co
n
t
in
u
o
u
s
d
ata
f
l
o
w.
Fig
u
r
e
4
p
r
esen
ts
th
e
tem
p
o
r
al
ev
o
lu
tio
n
o
f
th
e
r
ea
l
v
er
s
u
s
p
r
ed
icted
W
QI
d
u
r
in
g
th
e
s
im
u
l
atio
n
.
T
h
is
f
ig
u
r
e
illu
s
tr
ates
th
e
m
o
d
el’
s
r
ea
l
-
tim
e
p
r
ed
ictiv
e
p
e
r
f
o
r
m
an
ce
an
d
its
ab
ilit
y
to
tr
ac
k
s
h
o
r
t
-
ter
m
W
QI
f
lu
ctu
atio
n
s
Fig
u
r
e
4
.
T
e
m
p
o
r
al
e
v
o
lu
tio
n
o
f
o
b
s
er
v
ed
an
d
p
r
e
d
icted
W
QI
v
alu
es d
u
r
in
g
th
e
s
im
u
latio
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
15
,
No
.
2
,
Ap
r
il
20
26
:
110
9
-
11
20
1116
W
h
en
th
e
s
en
s
o
r
s
tr
ea
m
w
as
in
ten
tio
n
ally
in
ter
r
u
p
ted
,
th
e
ed
g
e
n
o
d
e
d
etec
ted
th
e
in
ac
tiv
ity
(
1
5
s
tim
eo
u
t)
an
d
au
to
m
atica
lly
s
witch
ed
to
a
p
r
ed
ictio
n
-
o
n
ly
m
o
d
e
.
T
h
is
en
s
u
r
ed
u
n
i
n
ter
r
u
p
te
d
o
p
e
r
atio
n
d
esp
ite
th
e
ab
s
en
ce
o
f
n
ew
s
en
s
o
r
d
ata.
E
ac
h
en
r
ic
h
ed
m
ess
ag
e
also
tr
ig
g
er
ed
an
HT
T
P
POST
r
eq
u
est
to
th
e
ex
p
lain
ab
ilit
y
m
icr
o
s
er
v
ice
(
x
ai_
s
er
v
ice.
p
y
)
,
wh
ich
r
etu
r
n
ed
f
ea
tu
r
e
-
lev
el
SHAP
v
alu
es
q
u
an
tify
in
g
th
e
co
n
tr
ib
u
tio
n
o
f
ea
ch
in
p
u
t p
ar
am
eter
to
th
e
p
r
ed
icted
W
QI
.
3
.
6
.
E
x
pla
ina
bil
it
y
inte
g
ra
t
i
o
n
I
n
o
r
d
er
to
im
p
r
o
v
e
th
e
tr
an
s
p
ar
en
cy
o
f
th
e
m
o
d
el
d
ec
is
io
n
-
m
ak
in
g
m
ec
h
an
is
m
,
we
h
av
e
in
co
r
p
o
r
ated
th
e
ex
p
lain
a
b
ilit
y
lay
er
to
th
is
s
y
s
tem
.
Fo
r
ev
er
y
n
ew
p
r
e
d
ictio
n
,
th
e
XAI
m
icr
o
s
er
v
ice
is
g
r
an
ted
t
h
e
en
tire
f
ea
tu
r
e
v
ec
to
r
f
r
o
m
th
e
e
d
g
e
lay
e
r
as
in
p
u
t,
an
d
co
m
p
u
tes
SHAP
v
alu
es,
r
ef
lectin
g
th
e
co
n
tr
ib
u
tio
n
m
ag
n
itu
d
e
o
f
ea
ch
in
p
u
t
p
ar
am
eter
to
th
e
p
r
e
d
icted
W
QI
.
T
h
e
r
esu
ltan
t
ex
p
lan
atio
n
s
ar
e
also
s
en
t
to
th
e
No
d
e
-
R
E
D
d
ash
b
o
ar
d
,
w
h
ich
d
is
p
lay
s
th
em
as
a
d
y
n
am
ically
u
p
d
ated
f
ea
tu
r
e
-
im
p
ac
t
tab
le
to
s
h
o
w
u
s
er
s
in
r
ea
l
tim
e
wh
ich
f
ea
tu
r
es
ar
e
co
n
t
r
ib
u
tin
g
t
o
W
QI
ch
an
g
es.
Fig
u
r
e
5
d
em
o
n
s
tr
ates,
f
o
r
a
g
iv
e
n
p
r
ed
ictio
n
,
a
v
is
u
aliza
tio
n
o
f
th
e
g
en
er
ated
d
y
n
a
m
ic
o
f
th
e
r
ea
l
-
tim
e
f
ea
tu
r
e
-
im
p
ac
t
tab
le
in
th
e
s
im
u
lated
d
esig
n
,
h
ig
h
lig
h
tin
g
th
e
r
elativ
e
co
n
tr
i
b
u
tio
n
o
f
ea
ch
p
h
y
s
i
co
ch
em
ical
p
a
r
am
eter
to
W
QI
p
r
e
d
ictio
n
.
T
h
is
in
teg
r
atio
n
en
ab
les
d
o
m
ain
ex
p
er
ts
to
ass
ess
wh
eth
er
th
e
m
o
d
el’
s
r
ea
s
o
n
in
g
is
co
n
s
is
ten
t
with
k
n
o
wn
p
h
y
s
ico
ch
em
ical
r
elatio
n
s
h
ip
s
g
o
v
er
n
in
g
wate
r
q
u
ality
v
ar
ia
tio
n
s
in
th
e
Mo
u
l
o
u
y
a
R
iv
er
B
asin
.
Fig
u
r
e
5
.
SHAP
-
b
ased
f
ea
tu
r
e
im
p
ac
t ta
b
le
f
o
r
a
r
e
p
r
esen
tativ
e
W
QI
p
r
ed
ictio
n
3
.
7
.
Da
s
hb
o
a
rd
a
nd
v
is
ua
liza
t
io
n
A
lig
h
tweig
h
t
v
is
u
aliza
tio
n
lay
er
was
im
p
lem
en
ted
u
s
in
g
th
e
No
d
e
-
R
E
D
d
ash
b
o
a
r
d
t
o
s
u
p
p
o
r
t
m
o
n
ito
r
in
g
an
d
d
ec
is
io
n
m
a
k
in
g
.
T
h
e
d
ash
b
o
ar
d
p
r
o
v
id
e
s
th
r
ee
co
m
p
lem
en
tar
y
v
iew
s
:
i)
a
W
QI
g
au
g
e
o
f
f
er
in
g
an
im
m
e
d
iate
in
ter
p
r
etatio
n
o
f
wate
r
q
u
ality
s
tatu
s
,
ii)
a
tim
e
-
s
er
ies
p
lo
t
co
m
p
ar
in
g
o
b
s
er
v
ed
an
d
p
r
ed
icted
W
QI
v
alu
es,
an
d
iii)
a
f
ea
tu
r
e
-
im
p
ac
t
v
is
u
aliza
tio
n
(
tab
le
an
d
b
ar
c
h
ar
t)
h
i
g
h
lig
h
tin
g
th
e
m
o
s
t
in
f
lu
en
tial
p
ar
am
eter
s
d
r
i
v
in
g
m
o
d
el
p
r
e
d
ictio
n
s
.
T
h
ese
co
m
p
o
n
e
n
ts
ca
n
b
e
cu
s
to
m
ized
to
th
e
o
p
er
atio
n
al
n
ee
d
s
o
f
en
v
ir
o
n
m
en
tal
a
g
en
c
ies,
allo
win
g
u
s
er
s
to
tr
ac
k
p
o
llu
tan
t
f
lu
ct
u
atio
n
s
,
v
er
if
y
m
o
d
el
b
e
h
av
io
r
,
a
n
d
id
en
tify
em
er
g
in
g
an
o
m
alies.
Fig
u
r
e
6
p
r
esen
ts
r
ep
r
esen
tativ
e
d
ash
b
o
a
r
d
v
iews
in
teg
r
ated
in
to
th
e
p
r
o
to
ty
p
e,
d
em
o
n
s
tr
atin
g
t
h
e
s
y
s
tem
’
s
s
u
itab
ilit
y
f
o
r
r
ea
l
-
tim
e
aler
tin
g
an
d
d
ec
is
io
n
-
s
u
p
p
o
r
t scen
a
r
io
s
.
(
a)
(
b
)
Fig
u
r
e
6
.
No
d
e
-
R
E
D
d
ash
b
o
a
r
d
v
iews o
b
tain
ed
f
r
o
m
th
e
s
im
u
lated
en
v
ir
o
n
m
en
t
:
(
a)
a
r
ea
l
-
tim
e
W
QI
g
au
g
e
f
o
r
in
s
tan
t statu
s
an
d
(
b
)
f
ea
t
u
r
e
im
p
ac
t v
iew
p
r
o
d
u
ce
d
b
y
th
e
ex
p
lain
ab
ilit
y
m
icr
o
s
er
v
ice
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
n
in
tellig
en
t a
n
d
ex
p
l
a
in
a
b
le
I
o
T
-
E
d
g
e
-
C
lo
u
d
a
r
ch
itectu
r
e
fo
r
r
ea
l
-
time
w
a
ter q
u
a
lity
…
(
S
a
r
a
B
o
u
z
ia
n
e
)
1117
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
p
r
o
p
o
s
ed
in
tellig
en
t
w
ater
q
u
ality
m
o
n
ito
r
in
g
ar
c
h
itectu
r
e
was
d
esig
n
ed
an
d
test
ed
b
y
im
p
lem
en
tin
g
a
f
u
lly
e
n
d
-
to
-
e
n
d
s
im
u
latio
n
to
e
v
alu
ate
t
h
e
ap
p
r
o
ac
h
o
n
a
r
ea
l
-
tim
e
m
o
n
it
o
r
in
g
s
y
s
tem
in
th
e
Mo
u
lo
u
y
a
R
iv
er
B
asin
.
C
o
n
tin
u
o
u
s
m
u
lti
-
p
a
r
am
eter
m
ea
s
u
r
em
en
ts
r
ep
r
esen
tin
g
th
e
n
atu
r
al
v
ar
iab
ilit
y
o
f
th
e
wate
r
q
u
ality
,
co
m
m
o
n
ly
o
b
s
e
r
v
ed
i
n
th
e
b
asin
,
we
r
e
co
n
tin
u
o
u
s
ly
g
en
er
ated
an
d
tr
an
s
m
it
ted
o
v
e
r
MQ
T
T
t
o
th
e
ed
g
e
lay
er
.
T
h
e
ed
g
e
s
er
v
ice
ad
e
p
tly
p
r
o
ce
s
s
ed
th
e
h
ig
h
-
f
r
eq
u
e
n
cy
d
ata
s
tr
ea
m
an
d
co
m
p
u
ted
th
e
au
th
en
tic
W
QI
u
s
in
g
th
e
weig
h
ted
ar
ith
m
etic
ap
p
r
o
ac
h
.
C
o
n
cu
r
r
en
tly
,
t
h
e
s
tack
in
g
en
s
em
b
le
m
o
d
el
g
en
e
r
ated
f
o
r
ec
asted
W
QI
v
alu
es,
p
r
o
v
i
d
in
g
co
n
s
is
ten
t
an
d
ad
ap
tiv
e
esti
m
atio
n
s
alig
n
ed
with
th
e
f
lu
ctu
atio
n
s
o
f
th
e
in
p
u
t d
ata.
I
n
th
e
te
m
p
o
r
a
l
p
l
o
t
s
o
f
r
e
a
l
a
n
d
p
r
ed
i
c
t
ed
W
Q
I
v
a
l
u
e
s
,
t
h
e
t
wo
cu
r
v
e
s
s
h
o
w
c
lo
s
e
ag
r
e
em
e
n
t,
s
h
a
r
i
n
g
s
i
m
i
la
r
tr
e
n
d
s
an
d
a
g
r
a
d
u
a
l
ev
o
lu
t
i
o
n
o
v
er
t
im
e
(
F
i
g
u
r
e
4
)
.
T
h
i
s
co
n
f
i
r
m
s
th
e
ef
f
e
c
t
iv
en
e
s
s
o
f
e
n
s
e
m
b
le
l
ea
r
n
in
g
m
o
d
el
s
in
p
r
ed
i
c
t
i
n
g
W
Q
I
an
d
m
an
a
g
i
n
g
r
e
a
l
-
t
im
e
d
a
t
a
s
t
r
e
am
s
.
A
d
d
i
t
i
o
n
a
l
ly
,
th
e
s
y
s
t
e
m
m
a
i
n
ta
i
n
ed
c
o
n
t
i
n
u
o
u
s
o
u
tp
u
t
d
u
r
in
g
s
i
m
u
l
a
t
ed
s
e
n
s
o
r
o
u
t
ag
e
s
b
y
au
t
o
m
a
t
ic
a
l
l
y
s
w
i
t
c
h
in
g
t
o
p
r
ed
i
c
t
i
o
n
-
o
n
ly
m
o
d
e
(
F
i
g
u
r
e
7
)
.
T
h
i
s
c
ap
a
b
i
l
i
ty
d
e
m
o
n
s
tr
a
t
e
s
i
t
s
o
p
er
a
t
i
o
n
a
l
r
o
b
u
s
t
n
e
s
s
i
n
s
c
e
n
ar
i
o
s
w
i
t
h
d
e
g
r
a
d
ed
co
m
m
u
n
i
c
a
t
i
o
n
.
Fig
u
r
e
7
.
A
d
em
o
n
s
tr
atio
n
o
f
t
h
e
lo
ca
l e
x
ec
u
tio
n
o
f
th
e
e
d
g
e
in
f
er
en
ce
s
er
v
ice,
s
h
o
wca
s
in
g
m
o
d
el
lo
ad
i
n
g
,
MQ
T
T
co
n
n
ec
tio
n
,
an
d
an
au
t
o
m
atic
s
witch
to
p
r
ed
ictio
n
-
o
n
ly
m
o
d
e
a
f
ter
th
e
s
en
s
o
r
tim
es
o
u
t
T
h
e
SHAP
-
b
ased
an
aly
s
is
o
f
th
e
m
o
d
el’
s
ex
p
lain
ab
ilit
y
p
r
o
v
id
ed
v
alu
ab
le
in
s
ig
h
ts
.
T
h
e
f
ea
tu
r
e
im
p
ac
t
s
co
r
es
ca
lcu
lated
b
y
th
e
ex
p
lain
a
b
ilit
y
m
icr
o
s
er
v
ice
r
ev
ea
led
th
e
d
o
m
i
n
an
t
in
f
lu
en
ce
o
f
n
u
tr
ien
t
-
r
elate
d
p
a
r
am
eter
s
.
As
s
h
o
wn
in
Fig
u
r
e
5
,
NH
4
,
em
er
g
ed
as
th
e
d
o
m
in
an
t
co
n
tr
ib
u
to
r
,
ac
co
u
n
tin
g
f
o
r
ap
p
r
o
x
im
ately
6
1
%
o
f
th
e
t
o
tal
f
ea
tu
r
e
im
p
ac
t
f
o
r
th
e
i
llu
s
tr
ated
p
r
ed
ictio
n
.
PO
4
an
d
B
OD₅
f
o
llo
wed
,
in
d
icatin
g
th
e
s
tr
o
n
g
in
f
lu
e
n
c
e
o
f
n
u
tr
ien
t
en
r
ich
m
e
n
t
an
d
o
r
g
an
ic
p
o
ll
u
tio
n
o
n
wate
r
q
u
ality
d
eg
r
ad
atio
n
.
SO
4
,
tem
p
er
atu
r
e
(
T
)
,
an
d
T
DS
(
d
er
iv
ed
f
r
o
m
E
C
)
ex
h
ib
ited
m
o
d
er
ate
p
o
s
itiv
e
co
n
tr
i
b
u
tio
n
s
,
r
ef
lectin
g
m
in
er
aliza
tio
n
a
n
d
th
er
m
al
ef
f
ec
ts
.
I
n
c
o
n
tr
ast,
DO
s
h
o
wed
a
n
eg
ativ
e
SHAP
co
n
tr
i
b
u
tio
n
,
co
n
s
is
ten
t
with
its
k
n
o
wn
r
o
le
as
a
m
itig
atin
g
f
a
cto
r
in
p
o
llu
te
d
aq
u
atic
s
y
s
tem
s
.
NO
3
p
r
esen
ted
a
s
m
aller
b
u
t
n
o
n
-
n
eg
lig
ib
l
e
co
n
tr
ib
u
tio
n
,
s
u
g
g
esti
n
g
l
o
ca
lized
o
r
ep
is
o
d
ic
n
u
tr
ie
n
t
in
p
u
ts
.
T
h
ese
f
in
d
in
g
s
ar
e
f
u
l
ly
co
n
s
is
ten
t
with
em
p
ir
ical
o
b
s
er
v
atio
n
s
r
ep
o
r
ted
f
o
r
th
e
Mo
u
lo
u
y
a
B
asin
,
wh
er
e
n
u
t
r
ien
t
e
n
r
ich
m
en
t
an
d
o
r
g
an
ic
lo
a
d
co
n
s
titu
te
th
e
p
r
im
ar
y
d
r
iv
er
s
o
f
wate
r
q
u
ality
d
e
g
r
ad
ati
o
n
[
6
]
.
B
y
p
r
o
v
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NC
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[
1
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C
.
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