A stochastic model for the synthesis and degradation of natural organic matter. Part I. Data structures and reaction kinetics

被引:31
作者
Cabaniss, SE [1 ]
Madey, G
Leff, L
Maurice, PA
Wetzel, R
机构
[1] Univ New Mexico, Dept Chem, Albuquerque, NM 87131 USA
[2] Univ Notre Dame, Dept Comp Sci, Notre Dame, IN 46556 USA
[3] Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA
[4] Univ Notre Dame, Dept Geol & Civil Engn, Notre Dame, IN 46556 USA
[5] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC 27515 USA
基金
美国国家科学基金会;
关键词
agent-based model; carbon; humic; natural organic matter; stochastic;
D O I
10.1007/s10533-005-6895-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Here we present a stochastic biogeochemical model for the formation, transformation and mineralization of natural organic matter (NOM). The model is agent-based, with each software agent representing a single molecule of defined composition. Molecular properties and reactivities are estimated from composition and environmental parameters. Environmental parameters including temperature, pH, light intensity, dissolved O-2, moisture and enzyme activities are user controlled. Time is treated in discrete steps, and during each step potential reaction probabilities are evaluated for each molecule based on its structure and the environmental parameters. When reactions occur, the molecular composition is modified accordingly. The model uses small natural products and biopolymers for inputs, and the composition of the molecules produced is constrained only by the inputs and reaction stoichiometries, not by pre-defined structures. Example simulations using the program AlphaStep are presented, in which the breakdown of biopolymers and the condensation of small molecules both lead to molecular assemblages with elemental composition and average properties similar to those of aquatic NOM. This batch-reactor model can be expanded to include spatial information and environmental feedback.
引用
收藏
页码:319 / 347
页数:29
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