CALGYP: A Simulation Model for Calcite and Gypsum Precipitation-Dissolution in Soils.

Abstract

This report documents the CALGYP model which is designed to simulate calcite and gypsum precipitaflon-dissolution in solution in soils. CALGYP is a process model that is easy to parameterize, and is designed for long-term simulations (> 1000 years). The CALGYP model has five components: soil parameterization, chemical thermodynamic relations, deterministic and stochastic rainfall models, an evapotranspiration model, and subroutines that calculate water, calcium, and sulfate fluxes through the soil. The stochastic rainfall model is based on probability distributions for interarrival times (days between rainfall events) and rainfall amounts and is designed to simulate the long-term mean annual rainfall and variability in annual rainfall for specific sites. The model is currently parameterized for seven climatic sites in the desert Southwest. However, climate (temperature and rainfall) can be altered and other minerals included, which makes the CALGYP model potentially applicable across a wider range of environmental conditions including freezing-thawing systems. A separate program, Rainmodule, is included to facilitate inclusion of new sites and to alter rainfall patterns for current sites. Instructions for utilization and a FORTRAN-77 source code listing are included with the report.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA288464

Entities

People

  • Giles M. Marion

Organizations

  • Cold Regions Research and Engineering Laboratory

Tags

DTIC Thesaurus Topics

  • Chemical Equilibrium
  • Chemistry
  • Climate Change
  • Cold Regions
  • Computer Programs
  • Computers
  • Equations
  • Geography
  • Moisture Content
  • New Mexico
  • Precipitation
  • Probability
  • Probability Distributions
  • Procedures (Computers)
  • Random Number Generators
  • Simulations
  • United States

Fields of Study

  • Environmental science

Readers

  • Aquatic Ecology
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation