Premium
Modeling of carbon dioxide transport and production in soil: 2. Parameter selection, sensitivity analysis, and comparison of model predictions to field data
Author(s) -
Suarez Donald L.,
Šimůnek Jiří
Publication year - 1993
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/92wr02226
Subject(s) - environmental science , carbon dioxide , sensitivity (control systems) , soil science , dns root zone , co2 content , atmosphere (unit) , flux (metallurgy) , soil water , field (mathematics) , production (economics) , hydrology (agriculture) , biological system , mathematics , meteorology , chemistry , engineering , physics , geotechnical engineering , macroeconomics , electronic engineering , biology , pure mathematics , economics , organic chemistry
In paper 1 of this two‐paper series (Šimůnek and Suarez, this issue) we presented a description of the numerical model, SOILCO2, for CO 2 transport and production in the unsaturated zone. In paper 2 the model sensitivity to various parameters is evaluated by both steady state and transient simulations, with a range in the parameter values typically found under field conditions. We also select parameter values for optimal plant and microbial CO 2 production and production dependence on temperature, water content, osmotic potential and gas composition for plant and microbial respiration, all based on literature review. The predictive capabilities of the SOILCO2 model are evaluated by comparing model simulations to published field data from Missouri for three different crops and two growing seasons under transient conditions as well as a data set collected in Riverside, California, under relatively constant water content at depth. The model provided good prediction of the CO 2 flux to the atmosphere as well as the concentrations in the root zone for all data sets.