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HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...

HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...

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{"N.conc": "-1 * 1/( N.toCratio * 12.0107)<br />

* P.growth_rate * P.conc"}<br />

);<br />

lib.add_generic_process(<br />

"limited_growth", "limited_growth",<br />

[("P",[pe],1,1), ("N",[no3,fe],1,100), ("E",[ee],1,1)],<br />

[("light_lim", ["P","E"], 0), ("nutrient_lim",["P","N"], 0)],<br />

{},<br />

{"P.growth_rate": "(1-E.ice) * P.max_growth<br />

* exp(0.06933 * E.TH2O) * P.growth_lim"},<br />

{}<br />

);<br />

# ------ P.growth_lim --<br />

# there are multiple factors (and formulations of factors)<br />

# that might limit growth.<br />

# In this library nutrient and light limitations are combined<br />

# into P.growth_lim using a minimum function<br />

# so that only one operates at a time (i.e., they are substitutable).<br />

# The disadvantage<br />

# of this encoding is that it will not be possible to determine<br />

# which factor is operating at a given time. Temperature<br />

# is a multiplicative control factor encoded in the P.growth_rate<br />

# equation, and in the present library we do not consider<br />

# alternative temperature effect functions.<br />

# --light lim --<br />

lib.add_generic_process(<br />

79

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