Ontology-based simulation of water flow in organic soils applied to Florida sugarcane

An ontology-based simulation (OntoSim) is a unique data modeling environment where soil-plant-nutrient processes are represented as database objects and the user-defined relationships among objects are used to generate computer code (Java) for running the simulation. The aim of this study was to model hydrologic processes of sugarcane-grown organic soils utilizing OntoSim in the Everglades Agricultural Area (EAA) of South Florida. This OntoSim-Sugarcane model describes the complex hydrology of sub-irrigation and open ditch drainage commonly used on Florida farms. Model calibration was conducted by (i) selecting rectangular farm water management units ( 0.65; coefficient of residual mass 0.55 and coefficient of residual mass

[1]  Matthew J. Helmers,et al.  Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes , 2006 .

[2]  P. Scarlatos,et al.  Water Tables and Drainage Uniformity in the Everglades Agricultural Area , 2001 .

[3]  L. Harris,et al.  Everglades: The Ecosystem and its Restoration. , 1995 .

[4]  S. I. Gornak,et al.  EVALUATION OF FIELD-SCALE WATER QUALITY MODELS FOR THE LAKE OKEECHOBEE REGULATORY PROGRAM , 1999 .

[5]  F. Coale,et al.  Phosphorus concentrations in drainage water in the Everglades Agricultural Area , 1991 .

[6]  James L. Fouss,et al.  GLEAMS Hydrology Submodel Modified for Shallow Water Table Conditions , 1993 .

[7]  Cathy Ann Alexander,et al.  ADAPT - a model to simulate pesticide movement into drain tiles , 1988 .

[8]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[9]  S. Daroub,et al.  Specific conductance and ionic characteristics of farm canals in the everglades agricultural area. , 2006, Journal of environmental quality.

[10]  A. Bottcher,et al.  Everglades agricultural area (EAA) : water, soil, crop, and environmental management , 1994 .

[11]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[12]  Lee Lacy,et al.  Potential modeling and simulation applications of the Web ontology language - OWL , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[13]  D. Anderson,et al.  Water and Nitrogen Management of Sugarcane Grown on Sandy, High-Water-Table Soil , 1998 .

[14]  G. Snyder,et al.  Everglades agriculture Past, present, and future , 1994 .

[15]  G. T. Dodds,et al.  Modelling nitrate losses in drainage water using DRAINMOD 5.0 , 2002 .

[16]  J. Ritchie,et al.  Simulating Inbred-Maize Yields with CERES-IM , 2000 .

[17]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[18]  Keith Paustian,et al.  Modeling soil organic matter in organic-amended and nitrogen-fertilized long-term plots , 1992 .

[19]  W. Parton,et al.  Dynamics of C, N, P and S in grassland soils: a model , 1988 .

[20]  A. Corey,et al.  Steady upward flow from water tables , 2007 .

[21]  Stefan Seedorf,et al.  JOntoRisk: An Ontology-based Platform for Knowledge-based Simulation Modeling in Financial Risk Management , 2005 .

[22]  Forrest T. Izuno,et al.  Phosphorus load reductions under best management practices for sugarcane cropping systems in the Everglades Agricultural Area , 2002 .

[23]  N. Inman-Bamber Temperature and seasonal effects on canopy development and light interception of sugarcane , 1994 .

[24]  S. Grunwald,et al.  Tree-based modeling of complex interactions of phosphorus loadings and environmental factors. , 2009, The Science of the total environment.

[25]  W. Green,et al.  Studies on Soil Phyics. , 1911, The Journal of Agricultural Science.

[26]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[27]  Jane R. Frankenberger,et al.  Subsurface drain flow and crop yield predictions for different drain spacings using DRAINMOD , 2006 .

[28]  Panos M. Pardalos,et al.  Advances in Modeling Agricultural Systems , 2010 .

[29]  S. Grunwald,et al.  Long-term water quality trends after implementing best management practices in South Florida. , 2009, Journal of environmental quality.

[30]  C. Martinez OBJECT-ORIENTED HYDROLOGIC AND WATER-QUALITY MODEL FOR HIGH- WATER-TABLE ENVIRONMENTS , 2006 .

[31]  Howard W. Beck,et al.  Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management , 2009 .