General Description Model Description Simplifications Glossary Bibliography and Contributors
CMIS Educational Model
This simplified model predicts movement and degradation of pesticides in soils using soils, chemicals, daily rainfall and irrigation amounts, and daily evapotranspiration selected by the user. The software displays two soils side by side so comparisons can be made between different soils, chemicals, irrigation systems, and several other parameters. Soil and chemical properties along with cumulative infiltration amounts can be viewed on the output screen. The simplified model incorporates mass flow, dispersion, sorption, and degradation.
Art Hornsby and Ron Jessup at the
The simulation engine of CMIS may be divided into four module consisting of a transport module, a water flow module, a degradation module, and a distribution module. The transport module simulates chemical movement of the center of mass of the chemical due to water movement. The water flow module performs a water balance calculation in the soil using daily water inputs of rainfall and irrigation and water loss by evapotranspiration This module estimates the amount of water available to transport the chemical deeper into the soil profile. The degradation module calculates the residual chemical mass in the profile. The distribution module estimates concentrations of the chemical at different locations in the profile using the depth of mass center from the transport module and the residual mass from the degradation module. The relative concentration is then displayed graphically by the software. The first three components of the model are contained in the CMLS model of Nofziger and Hornsby (1986).
I. Transport Module
Assuming that (1) chemicals move only in the liquid phase in response to soil-water movement, (2) all of the water in the soil is active in the flow process, (3) water already in the profile is pushed ahead of the inflowing water in a piston-like manner, (4) sorption can be described by the linear model, and (5) sorption is instantaneous and reversible, the depth of the chemical at time, t+dt, is given by (Nofziger and Hornsby, 1986)
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where Dc(t) and Dc(t+dt) are the depths of chemical at time t and t+dt, respectively, q is the amount of water passing the depth Dc(t ) during time dt, qFC is the volumetric water content of the soil at “field capacity”, and R is the retardation factor of the chemical in the soil. In this model, dt is taken as 1 day. The retardation factor is given by
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where r is the bulk density of the soil and Kd is
the partition coefficient of the chemical in the soil. For
many soils and organic chemicals, Kd can be estimated from organic
carbon content of the soil and organic carbon partition coefficient of the
chemical (Hamaker and Thompson, 1972 ; Karickhoff
1981, 1984) using the equation
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where OC is the organic carbon content of the soil and Koc is the organic carbon partition coefficient of the chemical. The organic carbon content of the soil is assumed to be uniform with depth in this simplified model.

Figure 1.
Conceptual diagram of soil-chemical system
The water module calculates a daily water balance in the root zone to determine the amount of water, q, available to move the chemical deeper into the soil (see Figure 1). In this model, water can be removed from the root zone by evapotranspiration and by drainage into the soil below the root zone. Water enters the soil at the soil surface as rainfall and irrigation. Each day the program reduces the water in the root zone for evapotranspiration on that day. It then adds water to the soil equal to the amount of rainfall and irrigation on that day. If the soil above the chemical is capable of storing all of the infiltrating water, no water is available for leaching the chemical deeper into the soil. If more water enters the soil surface than can be stored above the chemical, this excess water will tend to move the chemical downward. The program updates the water content of the soil above the depth of the chemical and in the remainder of the root zone each day so that this calculation can be carried out. The following paragraphs summarize these steps in mathematical terms.
For purposes of calculating q, it is convenient to consider the soil to be composed of 3 layers (See Figure 1). One layer has a bottom at the depth of the chemical (that is, Dc(t)), one layer ends at the bottom of the root zone, and one layer extends to some large depth below the root zone. Initially the depth of chemical is above the root zone depth. As time passes that boundary moves downward so that at large times it may exceed the root depth.
The amount of water passing the chemical at depth Dc(t) during time dt is determined from water balance calculations of all the element layers during the time interval dt (taken as 1 day in the model). The water balance analysis is done layer by layer progressively starting from the surface layer. The amount of water passing the bottom of layer j during an interval from t to t+dt may be expressed as

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Degradation of the chemical in the soil is simulated by first-order kinetics. The amount of chemical per unit surface area remaining in the soil at time t+dt is given by
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The transport and degradation modules of the program predict depth of the center mass and the amount of a chemical remaining at different times. The following equation is employed to approximate the concentration distribution of the chemical in the soil profile (DeSmedt and Wierenga, 1978; Dayananda et al., 1980; Rose et al., 1982a, 1982b, 1982c).

Assumptions and Simplifications
This simplified model contains the following assumptions and simplifications.
Transport Module:
Water Flow Module
Degradation Module
Distribution Module
Dispersivity: Dispersivity is the ratio of dispersion coefficient to pore-water velocity. It is on the order about 1 cm or less for disturbed (repacked) soils and for certain uniform field soils. For transport problems involving undisturbed field soils, especially when aggregated, the value of dispersivity is usually about one or two orders of magnitude larger than that of repacked soils (van Genuchten and Wierenga, 1986).
Field Capacity: Field capacity is usually defined as
the amount of water remaining in a soil system after downward gravity drainage
has ceased, or materially done so, after a period of rain or excessive
irrigation to thoroughly wet the soil system(Bear, 1972; Marshall and Holmes, 1988).
First-order kinetics: First-order kinetics refers to a reaction process of which the reaction rate is proportional to a concentration of the component in the system. The proportionality constant is called the first-order rate constant. In a degradation reaction, the first-order rate constant is also referred to as the first-order decay constant.
Partition Coefficient: Partition coefficient is the ratio of the content of a chemical species in the adsorbed phase to the concentration of that chemical species in the liquid phase.
Organic Carbon Partition Coefficient: Organic carbon partition coefficient is the ratio of the partition coefficient of a chemical species in a soil to the organic carbon content of the soil.
Permanent Wilting Point: Permanent wilting point is defined as the water content of a soil when indicator plants growing in that soil wilt and fail to recover when placed in a humid chamber (SSSA, 1984).
Bibliography
Bear, J., 1972. Dynamics of fluids in
porous media. Dover Publications, Inc.,
Dayananda, P. W. A., F. P. W. Winteringham, C. W. Rose, and J. Y. Parlange. 1980. Leaching of a sorbed solute: a model for peak concentration displacement. Irri. Sci., 1:169-.
De Smedt, F. and P. J. Wierenga. 1978. Approximate analytical solution for solute flow during infiltration and redistribution. Soil Sci. Soc. Am. J., 42:407-412.
Hamaker, J. W and J. M. Thompson. 1972. Adsorption. In C. A. I., and J. W. Hamaker (ed.) Organic chemicals in the environment. Marcel Dekker Inc., NY. pp 49-143.
Hillel, D. 1998. Environmental Soil Physics. Academic Press, Inc. 525 B Street, Suit 1900, San Diego, CA 92101-4495.
Karickhoff, S. W. 1981. Semi-empirical estimation of sorption of hydrophobic pollutants on natural sediments and soils. Chemosphere 10:833-846.
Karickhoff, S. W. 1984. Organic pollutant sorption in aquatic systems. J. Hydr.
Marshall, T. J. and J. W. Holmes.
1988. Soil Physics. 2nd edition.
Nofziger, D. L. and A. G. Hornsby. 1986. A microcomputer-based management tool for chemical movement in soil. Applied Agric. Research 1:50-57.
Rose, C. W., F. W. Chichester, J. R. Williams, and J. T. Ritchie. 1982a. A contribution to simplified models of field solute transport. J. Environ. Qual., 11:146-150.
Rose, C. W., F. W. Chichester, J. R. Williams, and J. T. Ritchie. 1982b. Application of an approximate analytical method of computing solute profiles with dispersion in soils. J. Environ. Qual., 11:151-.
Rose, C. W., W. L. Hogarth, and P. W. A. Dayananda. 1982c. Movement of peak solute concentration position by leaching in a nonsorbing soil. Aust. J. Soil Res., 20:23-.
SSSA. 1984. Glossary of soil
science terms. Soil Science Society of
van
Genuchten M. T. and P. J. Wierenga. 1986. Solute dispersion coefficients
and retardation factors. In A. Klute (ed.)
Methods of soil analysis. Part 1 Physical and mineralogical methods. Second edition. SSSA,
Contributors
This program was designed by Dr. D. L. Nofziger and J.Wu, Department of Plant
and Soil Sciences,
Send email to david.nofziger@okstate.edu
Last Modified: January 16, 2008