HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...

E. Models selected in both experiment 8 and 21
Model F
[
dP [ ]
(
dt = (1 − E ice (t))a 0 e (0.06933∗E T H 2 O(t))
M(t)(1 − a 6 ) − a 9 − a 17
]P −
a 13 P
1 + a 13 a 14 P
} {{ }
Z Grazing Rate
)
Z
dZ
(
dt = a 12
a 13 P
1 + a 13 a 14 P
} {{ }
Z Grazing Rate
)
)
Z −
(a 11 + a 16 Z
dD
(
) (
dt = (1 − a 10 )(a 9 P + a 11 Z) + (1 − a 10 )(1 − a 12 )
a 13 P
1 + a 13 a 14 P
} {{ }
Z Grazing Rate
)
Z − D(a 15 + a 18 )
[
]
dN
dt = E T H2 O
(a 19 − N)a
max
− E T H2 O(t)
20
E T H2 O max
− E T H2 O min
[
−
P
(a 7 12.0107)
[
]
(1 − E ice (t))a 0 e (0.06933∗E T H 2 O(t))
M(t) +
]
a 15 D
(a 7 ∗ 12.0107)
[
]
dF
dt = E T H2 O
(a 21 − F )a
max
− E T H2 O(t)
22
E T H2 O max
− E T H2 O min
[
−
P
(a 8 12.0107)
[
]
(1 − E ice (t))a 0 e (0.06933∗E T H 2 O(t))
M(t) +
[
]]
a 15 D
(a 7 12.0107)
{
F
M(t) = min
(F + a 5 ) , N
(N + a 4 ) , E P UR (t)
(e− a 2 )(1−e −E P UR (t)(1+a 3 e(E P UR (t)e1.089−2.12log 10 (a 1 ) ) )
a 1 ))
}
89