Modelling aged sorption for metabolites in FOCUS-PRZM - pfmodels
Modelling aged sorption for metabolites in FOCUS-PRZM - pfmodels
Modelling aged sorption for metabolites in FOCUS-PRZM - pfmodels
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Model<strong>in</strong>g Aged Sorption <strong>for</strong><br />
Metabolites <strong>in</strong> <strong>FOCUS</strong>-<strong>PRZM</strong><br />
Piyush S<strong>in</strong>gh<br />
DuPont Crop Protection
Objectives<br />
• Propose an alternate (more realistic)<br />
approach to simulate <strong>aged</strong> <strong>sorption</strong> <strong>for</strong><br />
<strong>metabolites</strong> <strong>in</strong> <strong>FOCUS</strong> <strong>PRZM</strong> GW Tool<br />
– Current model limitation: K d factors <strong>for</strong> metabolite<br />
are applied only after 50% parent has degraded -<br />
not a realistic assumption consider<strong>in</strong>g metabolite<br />
<strong>for</strong>mation is a cont<strong>in</strong>uous process.
Proposed Approach<br />
• Use a conceptual “<strong>aged</strong> <strong>sorption</strong> k<strong>in</strong>etics” model<br />
(Model Maker ® ) to fit the experimental <strong>aged</strong> <strong>sorption</strong><br />
data <strong>for</strong> metabolite.<br />
• Estimate a “rate” at which compound is mov<strong>in</strong>g from<br />
dissolved phase <strong>in</strong>to sorbed phase (similar to watersediment<br />
approach <strong>in</strong> Model Manager).<br />
• Use bi-phase degradation <strong>in</strong> <strong>FOCUS</strong>-<strong>PRZM</strong> <strong>for</strong><br />
metabolite:<br />
– first phase DT 50<br />
represent<strong>in</strong>g “<strong>aged</strong> <strong>sorption</strong> rate” derived<br />
from the “<strong>aged</strong> <strong>sorption</strong> k<strong>in</strong>etics” model.<br />
– second phase DT 50<br />
represent<strong>in</strong>g normal degradation rate.
1. Rate_1 is "net" or effective transfer rate from dissolved phase<br />
to solid phase (assum<strong>in</strong>g that ad<strong>sorption</strong> will be greater than<br />
de<strong>sorption</strong> at all times). By double-click<strong>in</strong>g on the arrow you<br />
can see how this affects the fit to experimental data.<br />
Rate_1 = k1*A {when 0 < t < Ts} Ts= Transition time<br />
Rate_1 = F1*(Rate_1) {when t>=Ts} F1 = Fraction of Rate_1<br />
Example: If Ts = 6 d and F1 =0.2 then the net ad<strong>sorption</strong> rate<br />
after 6 days would be 20% of the value of Rate_1<br />
2. Rate_2 corresponds to degradation rate <strong>in</strong> solid phase<br />
(assumed negligible, k2 = 0.00001)<br />
Rate_2 = k2*B<br />
2. Rate_3 corresponds to degradation rate <strong>in</strong> dissolved phase<br />
(set equal to lab degradation rate as a start<strong>in</strong>g po<strong>in</strong>t...then<br />
adjust if necessary).<br />
Rate_3 = k3*A<br />
Note that the values of k1, k2, k3, Ts, and F1 can be adjusted<br />
<strong>in</strong> Parameters Tab by double click<strong>in</strong>g on each parameter.
Aged <strong>sorption</strong> data <strong>for</strong> metabolite<br />
Day Kd ag<strong>in</strong>g<br />
factors<br />
0 1.0<br />
1 2.0<br />
3 2.5<br />
7 3.2<br />
14 3.5
Parameters Derived from Aged Sorption<br />
K<strong>in</strong>etics Model<br />
• Phase-1 (represent<strong>in</strong>g <strong>aged</strong> <strong>sorption</strong>) DT 50<br />
<strong>for</strong> metabolite = 10 d<br />
• Time duration <strong>for</strong> phase-1 DT 50 =15 d<br />
• phase-2 DT 50 = 300 d (same value as used <strong>in</strong><br />
standard model<strong>in</strong>g scenario)
Model<strong>in</strong>g Scenarios<br />
• Case - 1<br />
– metabolite simulated as parent.<br />
– no <strong>aged</strong> <strong>sorption</strong> considered.<br />
• Case - 2<br />
– metabolite simulated as parent.<br />
– <strong>aged</strong> <strong>sorption</strong> factors (K d ag<strong>in</strong>g factors estimated<br />
directly from the experimental data) simulated
• Case - 3<br />
Model<strong>in</strong>g Scenarios<br />
– metabolite simulated as parent to metabolite<br />
pathway.<br />
– <strong>aged</strong> <strong>sorption</strong> <strong>for</strong> metabolite simulated (model<br />
assumption: K d factors applied after 50% parent<br />
has degraded).<br />
• Case - 4<br />
– metabolite simulated as parent to metabolite<br />
pathway<br />
– <strong>aged</strong> <strong>sorption</strong> represented as two-phase<br />
degradation <strong>for</strong> metabolite (proposed)
Key E-fate Properties<br />
E-fate<br />
Property<br />
Parent<br />
Metabolite<br />
DT50 (d) 40 300<br />
Koc (ml/g) 300 200<br />
Molecular<br />
Weight<br />
300 250
E-fate/Scenario Properties<br />
• Maximum <strong>for</strong>mation level <strong>for</strong> metabolite<br />
assumed to be 50%<br />
• When simulat<strong>in</strong>g metabolite as parent<br />
application rate <strong>for</strong> metabolite calculated as:<br />
App rate <strong>for</strong> metab = App rate <strong>for</strong> parent * 0.5 * (MWm / MWp)<br />
• Parent application rate = 0.5 Kg/ha<br />
• No temperature or moisture correction used<br />
• Crop simulated - v<strong>in</strong>e (all <strong>FOCUS</strong> scenarios)
Results<br />
• 80th percentile PECgw (µg/L) <strong>for</strong> metabolite<br />
Scenario Case-1 Case-2 Case-3 Case-4<br />
Chateaudun 1.63