Abstract
Catenary systems of compartments, in which flow of a pollutant is in one direction through a chain of compartments and where the rates of movement are controlled by first-order kinetics, can be described by differential equations with analytic solutions regardless of the number of compartments (see Chapter 3). Even if flow is in several directions, analytic solutions may be found for some relatively simple cases (see Chapter 4). As the complexity of the system increases, however, with large numbers of mutually connected compartments, the ability to produce analytic solutions to the underlying differential equations increases greatly. Even if analytic solutions can be found in principle, they may involve such long derivations as to make the task impractical.
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References
D. Crawford-Brown, Theoretical and Mathematical Foundations of Human Health Risk Analysis, Kluwer Academic Publishers, Boston, 1997.
Environmental Protection Agency, Exposure Factors Handbook, Office of Research and Development, Washington, DC, 1996.
I. Sokolnikoflf and R. Redheffer, Mathematics of Physics and Modern Engineering, McGraw-Hill, Inc., New York, 1966.
W. Press, B. Flannery, S. Teukolsky and W. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, University of Cambridge, Cambridge, England, 1988.
R. Hamming, Numerical Methods for Scientists and Engineers, Dover Publishers, New York, 1987.
C. Gerald and P. Wheatley, Applied Numerical Analysis, Addison-Wesley Publishing Co., Reading, Mass., 1998.
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© 2001 Springer Science+Business Media Dordrecht
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Crawford-Brown, D.J. (2001). Numerical Methods and Exposure-Response. In: Mathematical Methods of Environmental Risk Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3271-9_6
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DOI: https://doi.org/10.1007/978-1-4757-3271-9_6
Publisher Name: Springer, Boston, MA
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