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The confining beds of a shallow confined aquifer are never truly impermeable; we indicate by the term “confined” that the leakage through the confining beds is negligibly small. If the leakage cannot be neglected, the aquifer is referred to as a semiconfined aquifer and the leaking confining bed as a leaky layer, a semipermeable layer, or an aquitard. We use the term shallow leaky aquifer flow whenever the aquifer is sufficiently shallow that the resistance to flow in the vertical direction may be neglected.
An important property of leaky systems is that there exists an equilibrium condition if there are no features in the system, wells, for example, that induce leakage. We discuss in this chapter how to describe the leakage induced by features in systems of two aquifers, separated by a single leaky layer.
Shallow Semiconfined Flow
The simplest case of shallow leaky aquifer flow occurs if the head is constant above the upper semipermeable layer, and the lower boundary of the aquifer is impermeable. Such a case applies if there is little or no flow in the aquifer above the semipermeable layer. We refer to this type of flow as semiconfined flow. We derive the basic equations for this type of flow and consider several examples. The equilibrium condition in a semiconfined aquifer, i.e., in a system without features that induce leakage, is that the head in the lower aquifer equals the constant head in the upper aquifer.
Basic Equations
A vertical section through a semiconfined aquifer is shown in Figure 5.1; the hydraulic conductivity and thickness of the aquifer are kand H. We label all quantities associated with the semipermeable layer with an asterisk: the hydraulic conductivity and thickness of the semipermeable layer are k* and H*. The constant head in the aquifer above the leaky layer is ϕ*. All heads are measured with respect to the impermeable base of the aquifer.
Two-dimensional flow in the vertical plane occurs if there exists a horizontal direction in which there is no flow. Few cases of true two-dimensional flow in the vertical plane occur in reality, but a two-dimensional analysis often gives a good approximation. If the feature considered, a dam for example, is long with respect to its width, the results obtained from a two-dimensional analysis will be accurate near the central portion of the dam and erroneous near the ends. We discuss the construction of flow nets for cases with and without free boundaries, and present an application of the method of images.
The equations governing transient flow of groundwater have the same form as those governing transient flow of heat in solids. The equations that are usually applied to solve problems of transient groundwater flow in confined systems are a simplified form of the equations that govern poro-elasticity. The equations that govern transient flow in unconfined aquifers are a linearized form of the nonlinear equations that apply to such flow, obtained using the Dupuit-Forchheimer approximation. A large body of solutions to the equations exist, and many are found in Carslaw and Jaeger [1959].
Transient Shallow Confined Flow
Transient effects in aquifer systems come about when boundary values or infiltration rates vary with time. A common example is a well that is switched on at some time; on starting the pump, the heads and pressures in the aquifer system change gradually until, for all practical purposes, steady-state conditions are reached. In a confined aquifer, the transient effects are caused by the compression of the grain skeleton as a result of decreasing pressures; if both the aquifer material and the fluid were incompressible, steady-state conditions would be reached instantaneously.
The problem of transient flow in a confined aquifer is a coupled one; the deformation of the grain skeleton is coupled to the groundwater flow. The problem is very complex, as the constitutive equations for soil are highly non-linear, even under dry conditions, and the coupling with the groundwater flow increases the complexity further still. Biot [1941] formulated the coupled problem mathematically, approximating the grain skeleton as a linearly elastic material. Fortunately, the pressure changes due to groundwater flow are usually small compared with the overburden stresses in the grain skeleton, which allows approximations to be made that simplify the problem considerably.We formulate the problem in terms of two equations: the equation describing storage and a simplified equation for the deformation of the grain skeleton. All strains and stresses are taken as positive for contraction and compression, respectively.
The Storage Equation
The storage equation expresses that water may be stored in an elementary volume V of porous material due to both an increase of V and a decrease in the volume Vw of the water.
We deal in this chapter with steady interface flow, which occurs when the aquifer contains two fluids that are separated by an interface rather than a transition zone, and when one of the fluids is at rest. Coastal aquifers may be modeled with good approximation by assuming interface flow, where the freshwater flows over saltwater at rest. We call the flow shallow interface flow if the aquifer is sufficiently shallow with respect to its extent so that the resistance to flow in the vertical direction may be neglected. We introduce discharge potentials that unify the mathematical treatment of the various types of interface flow.
We derive the potential for flow in an infinite aquifer to a point-sink, and apply the method of images to solve the problem of flow toward a point-sink in a deep aquifer bounded above by a horizontal impermeable layer.
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style. With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively.
Writing clear, impactful reports is a crucial skill for science students, but few books focus on this area for the undergraduate. Particularly useful for biology students, this text adopts a hands-on approach, using example reports and published papers as models to put guidance into practice. An introductory chapter familiarizes undergraduates with the principles of writing science. Two model reports are then developed, walking students through experimental and observational teaching-lab reports. The structure and content of the Introduction, Methods and Materials, Results, and Discussion are explained, together with tips for the title, abstract, and references. Students are then guided on how to polish their first draft. The last section of the book analyzes two published papers, helping the reader transition to reporting original research. Clearly and concisely written, this text offers a much-needed lifeline for science students facing science report-writing for the first time, and for those looking to hone their writing skills.