Requires Python 3.7 and Jupyter 4.4 or above
Model the time-dependent change in N2O isotopes from different substrate pools.
Created on Mon October 28th, 2019
Simple time-varying model to model the expected d15N2O-alpha, d15N2O-beta, and d18O-N2O from different
reductive substrates (nitrate and nitrite). Utilizes the known isotope values of the substrate and a
range of expected isotope effects to model the expected isotopes of N2O.
- n2o_14 = concentration of 14N-14N-16O, umol N/L
- n2o_15A = concentration of 14N-15N-16O, umol N/L
- n2o_15B = concentration of 15N-14N-16O, umol N/L
- n2o_16 = concentration of 14N-14N-16O, umol N/L (i.e., 1/2 O per every N2O)
- n2o_18 = concentration of 14N-14N-18O, umol N/L (i.e., 1/2 O per every N2O)
- Rate constants for production and consumption of N2O
- Delta values of substrates (nitrate and nitrite)
- Value of each state variable at each time step.
Run the model by running the cells in the Jupyter notebook.
Convert isotope ratio in delta notation to 15R or 18R
Functions to initialize and run model, as well as function for time-varying
parameters.
Where model output figures are stored.
@author: Colette L. Kelly, Stanford University (clkelly@stanford.edu)
MIT License
Copyright (c) 2020 Colette LaMonica Kelly
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