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Modeling Tools for Environmental Engineers and Scientists

Modeling Tools for Environmental Engineers and Scientists

Modeling Tools for Environmental Engineers and Scientists

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it can be simplified by dividing throughout by α(t). Often, in many environmentalsystems, θ(t) does not change with t. Further, if G is linear in z(t), u(t),<strong>and</strong> their derivatives, then the equation is linear, <strong>and</strong> the principle of superpositioningcan be applied.The general st<strong>and</strong>ard <strong>for</strong>m of a PDE with two independent variables x <strong>and</strong>t is as follows:whereG[u, u x , u t , u xx , u xt , u tt , (x,t), f(x,t)] = 0 (3.3)2u x = ∂ u; u t = ∂ u; u xx = ∂ u∂x∂t∂t2; u xt = ∂ u∂t2; u tt = ∂ u∂t2, (x,t)is a parameter <strong>and</strong> f(x,t) is a known function. In the context of a model, x cancorrespond to a spatial coordinate, t to time, f(x,t) to the input, θ(x,t) to thesystem parameter, <strong>and</strong> u(x,t) to the system outputs. The <strong>for</strong>mulation shouldalso define the problem domain, i.e., ranges <strong>for</strong> x <strong>and</strong> t.223.2 MATHEMATICAL ANALYSISSome of the <strong>for</strong>mulations identified above are tractable to an analyticalmethod of analysis, while many require a computational (also referred to asnumerical) method of analysis. Both methods of analysis can <strong>for</strong>m the basisof computer-based mathematical modeling.3.2.1 ANALYTICAL METHODSIn analytical methods, the solution to a <strong>for</strong>mulation is found as an expressionconsisting of the parameters <strong>and</strong> the independent variables in terms ofthe symbols. Sometimes this method of solution is referred to as parameterizedsolutions. The solution can be exact or approximate. Only <strong>for</strong> a limitedclass of <strong>for</strong>mulations is it possible to find an exact analytical solution. Anapproximate solution has to be sought in other cases, such as in the models<strong>for</strong> large environmental systems.For example, consider Equation (3.1), where y is the unknown, x is aknown variable, <strong>and</strong> θ is a parameter. The solution <strong>for</strong> y might or might notexist; if it does, it might not be unique. If Equation (3.1) could be rearrangedto the <strong>for</strong>mA(x,)y B(x,) = 0 (3.4)a solution can be found by inverting the matrix A(x,θ) if <strong>and</strong> only if A(x,θ) isa nonsingular n × n matrix. If y appears nonlinearly, multiple solutions may© 2002 by CRC Press LLC

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