HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
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Then finding an lower bound,<br />
dD l<br />
dt + Dl (a 17 + a 20 ) = 0<br />
D l (t) = D 0 e −(a 17+a 20 )t<br />
lim<br />
t→+∞ Dl (t) = 0<br />
Thus,<br />
D 0 e −(a 17+a 20 )t ≤ D(t) ≤ β u1 + β u2 P 0 e αut +<br />
(D 0 − β u1 − β u2 P 0<br />
)<br />
e −(a 17+a 20 )t<br />
(27)<br />
These bound (27) show a maximum rate of decline driven by parameter 17 and<br />
20. As they were in Model A, the equation structure for Nitrate and Iron are very<br />
similar differing only by parameter and variables.<br />
[<br />
] [<br />
dN<br />
dt = a 17 D<br />
+ (a 21 − N)<br />
(a 7 12.0107)<br />
[<br />
P<br />
−<br />
(a 7 12.0107)<br />
≤a 22<br />
{ }} {<br />
]<br />
E T H2 O<br />
(a<br />
max<br />
− E T H2 O(t)<br />
22<br />
E T H2 O max<br />
− E T H2 O min<br />
[<br />
]<br />
(1 − E ice (t))a 0 e (0.06933∗E T H 2 O(t))<br />
M(t)<br />
]<br />
Using (26) and (27) we find an upper bound, the P term is dropped as it’s lower<br />
bound is zero . Thus,<br />
dN<br />
a 17<br />
(β<br />
dt ≤ (a u1 + β u2 P 0 e αut +<br />
21 − N)a 22 +<br />
) )<br />
(D 0 − β u1 − β u2 P 0 e −(a 17+a 20 )t<br />
(a 7 12.0107)<br />
52