Box models
Box model is idealized three-dimensional space used for calculation of pollutants distribution in the environment. The real environment is simplified to the form of box divided to separated parts (compartments), which represent individual environmental components. The compartments are typically air, vegetation, soil, water, and sediment, which have proportions and volumes corresponding to the real environment.
These compartments may be further divided to layers to ensure better distribution description. A fundamental presumption of the model is that there is a homogenous structure in a thermodynamic equilibrium inside the individual layers. In the graphical illustration the compartments are connected with arrows representing pollutant distribution processes.

Chemical substances of our interest are so called persistent organic pollutants (POPs). It is a broad group of compounds – pollutants of various origin representing various risk level for humans and the environment. They include e.g. polycyclic aromatic hydrocarbons (PAHs) occurring as combustion side products or polychlorinated biphenyls (PCBs), which were used in various industrial applications such as cooling and dielectric liquids. Various substances used as pesticides, such as hexachlorbenzene (HCB), hexachlorcyklohexan (HCH), and DDT further belong to this group.
These compounds have several common properties that determine their environmental fate. First of all they are persistent, i.e. they may persist in individual environmental components for a long time (hours in air, years to tens of years in soil). The substances are partly volatile, thus, they can be released from soil back to atmosphere. They are nonpolar and lipophilic, have affinity to carbon substances and may therefore accumulate in living organisms as well as in inorganic carbon forms. Moreover, they have various toxic properties from cancerogenity to hormonal activity.
This combination of physical and chemical properties makes them interesting regarding research of their environmental fate. They may move freely within the environment, pass from one component to another, accumulate in specific compartments and be transferred to long distances. Since they are volatile, this motion is strongly dependent on temperature.
Not only monitoring of their content in individual environmental components is of a key importance for the research of their fate, but also mathematical tools, which are able to simulate the fate and provide supplementary information for localities, in which monitoring is not operated for miscellaneous reasons (costs, absence of technological background, complicated terrain etc.). In such case environmental distribution models play fundamental role.
Why do we need distribution models?
Environmental distribution models may be used in following fields of the pollutants environmental fate research:
- determination of pollutants concentrations in individual environmental components and potential exposure
- identification of important distribution processes
- comparison of different compounds fate in the same localities and prediction for new chemicals
- selection of risk sites, in which monitoring should be targeted
- identification of long-range transport potential
- estimation of accumulation in food nets
- future prediction of content level progress
- as a support tool for legislation and strategic decisions
Types of distribution models
There is a number of distribution models types that differ in focus, size, number of environmental components included, and purpose. First there are models describing some specific processes air transport, wet atmospherical deposition (rain, snow, fog etc.), or elution from soil. Some models provide general description of the environmental fate and are employed for comparison of different chemicals fate. And finally there are models that focus on selected region of interest and differ in a degree of spatial resolution, size of modelled area, and complexity of processes included.
Examples of regional models (Wania et al., 2000)

Typical examples of regional multicompartment models are shown at the schemes, in this case for the area of the Baltic sea and surrounding states. Arrows represent distribution processes representing pollutant mass flow.
Further there are models dealing with pollutants uptake by living organisms, eventually food nets.
Box models may contain various subsets of basic models that describe individual distribution processes. It could be for example distribution of pollutant content among various phases in atmosphere (pollutants may be present in vapour phase or bound to atmospherical particles such as dust), equilibrium distribution among various environmental components (distribution coefficient and regression relationships play role in this case), or degradation of the pollutant.
Model of a substance transport over the air-water interface

CalTOX, A Multimedia Total-Exposure Model for Hazardous-Waste Sites Part II: The Dynamic Multimedia Transport and Transformation Model, A technical report, The Office of Scientific Affairs, Department of Toxic Substances Control, California Environmental Protection Agency Sacramento, California, December 1993
Models may vary in the space size that they present. The smallest models may simulate individual organisms such as fish or plants.

Model example of plant, (Mackay et al., 1994)
Ian T. Cousins, Donald Mackay, Strategies for including vegetation compartments in multimedia models, Chemosphere 44 (2001), 643-653

Basl4- Model example of earthworm, (Webster et al., 2007)
Lauren Hughes, Eva Webster, Don Mackay, James Armitage, Frank Gobas, Development and Application of Models of Chemical Fate in Canada, Modelling the Fate of Substances in Sludge-Amended Soils Report to Environment Canada, CEMN Report No. 200502
Larger models may include a specific closed environmental unit such as lake. Such transport models may describe e.g. processes in a river. Multicompartment models include more phases, typically air, vegetation, soil, water, and sediment. Such models can be developed for local, regional and global level.
Progress of a box model from the simplest to global (Wania, 1999)

Frank Wania, Diferencies, Similarities, and complementarity of various approaches to modelling persistent organic pollutant distribution in the environment. WHO/EMEP/UNEP Workshop on modelling of atmospheric transport and deposition of persistent organic pollutants and heavy metals, Geneva, Switzerland, 16-19 November 1999.
The highest stage is incorporation of more models to one complex. These may consist of many tens, hundreds and thousands of unified units. Such models are often used for the simulation of atmosphere motion.
Mathematical description of a box model
Mathematical solution of an environmental model can be based on several approaches that define chemical equilibrium, e.g. chemical potential, activity, or fugacity.
The fugacity approach was introduced by G. N. Lewis in 1901 as a thermodynamic criterion of equilibrium, which is more suitable than chemical potential, because fugacity is linearly dependent on concentration. Its suitability for the environmental equilibriums solution has come out during last decades, as allowed for an easy expression of mass transport velocity over the interface (both diffusive and advective). The transport velocity is proportional to fugacity difference and velocity equations of chemical transformations can also be transferred to fugacity form. Fugacity may be defined as "escape tendency", whose unit is Pa (Pascal). It also characterizes partial pressure of the compound in a given phase. In contrast to chemical potential, its absolute value is findable, because it is equal to low values of partial pressure at ideal conditions.
Relationship between fugacity (f) and real concentration (C) is expressed by fugacity capacitance (Z) defined by Mackay in 1979. It is a reference constant linearly correlated with concentration.
C = Z * f
Its unit is (mol m-3 Pa-1). Final value depends on physical and chemical properties of the chemical compound as well as on properties of the environment. The dependence on concentration and pressure can be neglected at common conditions and pollutants environmental levels.
Fugacity capacitance calculations are analogous to thermal capacitance. If the environment has high fugacity capacitance, the value of "partial pressure" fugacity will be low even at relatively high concentration and the compound will tend to escape given the environment to the phase with lower fugacity capacitance. Thus, the fugacity capacitance expresses affinity of a specific compound to real phase.
The fugacity capacitance calculation is based on the computation of its absolute value for air and is derived by means of appropriate equilibrium distribution coefficients for other environmental components. Fugacity has a meaning of partial pressure, i.e.:
P * V = n * R * T
where the substance concentration in a given component is expressed as c = n / V; i.e. c = p / R * T. Therefore, fugacity capacitance for air is equal to 1 / R * T at ideal conditions for all dissolved substances. R is universal gas constant, n amount of substance, T thermodynamic temperature and p partial pressure.
For water and other environmental phases the fugacity capacitance may be derived by means of distribution coefficients:
Kaw = Za / Zw = H / R * T = ps / cs * R * T
Zw = Za * R * T / H = 1 / H = cs / ps
The box model mathematical solution itself is based on the mass conservation law. Amount of chemical substance entering the given compartment must also go out from it. Thus, the total mass balance of the box must be zero. We may therefore write a set of balance equations for the box that describe compound migration between compartments. Assuming that the time change in concentration in compartments is zero, equations in the set are then linear. If the concentrations changes in time, then the equations are differential. Results of the equations set solution is fugacity values in individual environmental compartments or their dependence on time, respectively. Pollutant concentration may be calculated by means of appropriate fugacity capacitance values.
Solution procedure of the box model
As mentioned above, the model solution lies in a set of balance equations for individual compartments and its solution. For this purpose it is necessary to perform preliminary calculations concerning interactions of individual environmental compartments with chemical substances and describe dynamics of transport processes.
1. Calculation of properties of the environment, distribution coefficients and their temperature dependence for a specific chemical substance
Properties of individual environmental components necessary for the calculation are defined in input parameters. They include particularly information about size and volume of individual phases, mass density, matrix composition, and organic carbon content, and further velocity coefficients characterizing dynamic processes. These coefficients describe velocity of substance transport over the phase interface. They include e.g. diffusion coefficients, velocity constants, precipitation intensity, elution coefficient, or dry atmospherical deposition velocity (dust). Physical-chemical properties of assessed substance must be known.
2. Fugacity capacitance calculation
Fugacity capacitance defines compound affinity to the appropriate environmental component. It is dependent on properties of both the phase and individual compounds. Fugacity capacitance values are derived for both environmental subcomponents (aerosols) and complete phases that are their combination (air, soil). Derivation of fugacity capacitance proceeds by means of distribution coefficients, because they are mutually in constant ratio. Fugacity capacitance of air is fundamental and is equal to 1 / R * T, fugacity capacitance for all remaining components may be derived by means of specific distribution coefficients, such as Kaw (air-water), Kow (octanol-water), Koc (octanol-organic carbon).
Water fugacity capacitance calculation may serve as an example:
Z water = 1 / ( Kawt * 8.314 * T), where T is thermodynamic temperature and Kawt is distribution coefficient air-water for a specific compound at temperature T.
3. Calculation of transport coefficients
Use of D coefficients is one of the biggest advantages of fugacity models. Each D coefficient describes velocity of transport process over the phase interface per fugacity unit. It may therefore be matched with arrows illustrating transport processes in scheme of the model. Their advantage is additivity. It is therefore possible to define new processes and simply add them to the D coefficients group without necessity of intervention to the model structure or new solution of the equations set. This allows for an easy development of the model. If the individual D coefficient is multiplied by fugacity in appropriate medium, mass flow over the phase interface is obtained and their dependencies on environment properties may be studied separately. Setting of a D coefficient to zero deactivates the appropriate transport process without affecting model functionality. D coefficients are calculated from appropriate fugacity capacitance values, environmental compartments properties, and transport coefficients. The transport D coefficient consists of fugacity capacitance of the given compartment, phase interface area, over which the transport proceeds (or phase volume in case of degradation) and appropriate velocity coefficient.
As example follows pollutants amount transferred over the phase interface air-soil by means of rain.
Drain-soil = S * Ur * Zwater,
where S is soil area, Ur precipitation intensity (m hod-1) and Zwater is fugacity capacitance of water.
Thus, pollutant molar flow over the phase interface air-water by means of precipitation will be:
F = f(air) * Drain-soil,
where F is the flow (mol hod-1), f(air) is pollutant fugacity in air, and Drain-soil is appropriate transport D coefficient.
4. Solution of equations set
Principle of the solution consists in expressing mass balance equations for each phase containing fugacity values as unknown quantities. Solution of this linear equations set are appropriate fugacity values of individual phases. The Matlab software is the most frequently used for the solution. Pollutant mass flow over the phase interface (mol.h-1) is expressed as multiple of D coefficient of the appropriate process and substance fugacity in appropriate environmental component.
Example of solution of a simple box model
Model environment:
- Two compartments
- Emisson flux E1 to compartment no. 1
- Degradation of pollutants in both compartments is expressed by reaction rate coefficients k1, k2
- Two transport processes over interphase of compartments described by two "D" coefficients ( D12 a D21)
"D" coefficients:
| E1 | emission rate to compartment no. 1 | mol / h |
| D12 | D21 overall "D" coefficient of transport between comparments | mol / ( h * Pa ) |
| Dr1 | „D" coeff. degradation of pollutants in 1 compatments | mol / ( h * Pa ) |
Dr1 = V1 * Z1 * k1
| V1 | volume of first compartment | m3 |
| Z1 | fugacity capacity of first compartment | mol / ( m3 * Pa ) |
| k1 | first order reaction rate coefficient | h-1 |
D1x - sum of all "out from first compartment" D coefficients
D1x = D12 + Dr1
Dr2 - D of degradation of pollutant in comparment no. 2
Dr2 = V2 * Z2 * k2
| V2 | volume of second compartment | m3 |
| Z2 | fugacity capacity of second compartment | mol / ( m3 * Pa ) |
| k2 | first order reaction rate coefficient | h-1 |
D2x - sum of all "out from second compartment" D coefficients
D2x = D21 + Dr2
Set of balance equations:
First compartment input = output
E1 + f2 * D21 = f1 * D1x
First compartment input = output
f1 * D12 = f2 * D2x
Solution:
f1 = f2 * D2x / D12
f2 = E1 / ( D2x * D1x / D12 - D21 )
Resulting concentrations have units (mol / m3):
C1 = Z1 * f1
C2 = Z2 * f2
A basic method using the box model is calculation of concentrations in individual environmental compartments based on emission to individual phases and concentrations in advective influxes. Properties changes of chemical compounds and the environment result in changes of distribution. Transport D coefficients may be used for independent research of interphase transport processes and their relationship to properties of the environment and compounds. Thus, use of the model is not limited to the box space only, but it may be applied to "one point", such as for study of pollutants volatilization from soil by observation of equilibrium changes between individual media. The model may be divided to individual parts, which can be used for interpretation of laboratory or field experiments. Parts of the model may therefore be also used for common calculations associated with establishing of equilibriums, their relationships and interactions.
References
Mackay, D., 2001. Multimedia Environmental Models: the Fugacity Approach. Lewis/CRC, Boca Raton FL.
RECETOX, Long-term integrated monitoring of POPs in the area of the Central European regional background observatory Kosetice, http://recetox.muni.cz , 2007/03/10.
Mackay, D., Shiu, W. Y. and Ma, K. C. Illustrated handbook of physical-chemical properties and environmental fate for organic chemicals. 1992, Lewis: Boca Raton, FL
E. K. Duursma and J. Carroll, in Environmental compartments, ed. Springer, Berlin,1996
C. M. J. Jacobs and W.A.J. van Pul, in Long-range atmospheric transport of persistent organic pollutants. 1:Description of surface - Atmosphere exchange modules and implementation in EUROS., National Institute of Public Health and the Environment, Bilthoven, The Netherlands. Report No. 722401013, 1996.
T. E. McKone, D. H. Bennett and R. L. Magdalena, (2002) CalTOX, Multimedia, Multipathway Exposure Model Technical Support Document, 2002, Lawrence Berkeley National Laboratory report LBNL-47254
A. Gusev, E. Mantseva, V. Shatalov and B. Strukov, Regional Multicompartment Model MSCE-POP, EMEP/MSC-E Technical Report 5., 2005.
The MathWorks, http://www.mathworks.com/products/matlab , 2008.
G. Vassilyeva and V. Shatalov, The role of dissolved organic matter in POP migration down to soil profile., MSCE Technical note 1, 2002.
Axelman, J., Broman, D. Budget calculations for polychlorinated biphenyls (PCBs) in the Northern emisphere-a single box approach. Tellus (in press).
Cousins, I.T., Jones, K.C., 1998. Air-soil exchange of semi-volatile organic compounds (SOCs) in the UK. Environmental Pollution 102, 105-118.
Harner, T., Bidleman, T.F., Jantunen, L.M.M., Mackay, D., 2001. Soil-air exchange model of persistent pesticides in the United States cotton belt. Environ. Toxicol. Chem. 20, 1612-1621.
Wania, F., 1999. WECC-Report 1/1999. Global modelling of polychlorinated biphenyls. Available: http://www.utsc.utoronto.ca/wania/downloads3.html .
Wania, F., Mackay, D., 1996. Tracking the distribution of persistent organic pollutants. Environ. Sci. Technol. 30, 390A-396A.
Wania, F., McLachlan, M.S., 2001. Estimating the influence of forests on the overall fate of semivolatile organic compounds using a multimedia fate model. Environ. Sci. Technol. 35, 582-590.
Campfens, J., Mackay, D., Fugacity-Based Model of PCB Bioaccumulation in Complex Aquatic, Environ. Sci. Technol. 1997, 31, 577-583
Wania, F. Diferencies, Similarities, and Complementarity of Various Approaches to Modelling Persistent Organic Pollutant Distribution in the Environment.
WMO/EMEP/UNEP Workshop on modelling of atmospheric transport and deposition of persistent organic pollutants and heavy metals, Geneva Switzerland, 16-19 November 1999




