Thesis (Ph. D.)--University of Wisconsin--Madison, 1983. / Typescript. Vita. 1 col. map in pocket. Includes bibliographical references (leaves 139-143).

Thesis--Wisconsin. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1965. / Typescript. Vita. Abstracted in Dissertation abstracts, v. 27 (1966) no. 6, p. 1939-B. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (M.A.)--University of Wisconsin--Madison, 1968. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1982. / One map on folded leaf in pocket. Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 249-259).

Thesis (Ph. D.)--University of Wisconsin--Madison, 1983. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 90-95).

Thesis (M.S.)--Humboldt State University, 2006. / Includes bibliographical references (leaves 103-108). Also available via Humboldt Digital Scholar.

Philosophiae Doctor - PhD / Table Muntain Group has been identified as one of the major Regional Aquifers in South Africa. the vast distribution of it leads to a great diversity in its hydrogeological properties, which influences the dynamics of recharge, discahrge and storage, resulting in groundwater occurrances unevenly distributed in TMG area. Thereby a proper regional groundwater resource evaluation focusing on the quantification of recharge, discharge and storage, is of most importance for the efficient groundwater utilization and management of TMG aquifers.The response of TMG aquifer to pumping stress is studied in Kammanassie Mountains by groundwater flow modeling. 3D hydrogeological model is constructed, which helps to improve the understanding of the conceptual hydrogeological model. Detailed groundwater-related analyses are performed on the basis of previous data sets. Groundwater numerical model is then established according to the conceptual model to stimulate the aquifers responses to various pumping scenarios. Some general data processing approaches are also develooped in this study that can be expected to apply to analog studies. / South Africa

Fluctuation of water levels in wells due to fluctuations of the nearby surface water (by tides, ships, dams) interfere with well analysis by standard field techniques. Therefore an attempt has been made to approximate these variations analytically. These calculated values could then be used to approach a static water level. The basic ground water theory was considered for confined and unconfined aquifers. The same linear approximation for the equation of the variations of the water level was obtained. This was a diffusion equation. The sinusoidal solution was considered in conjunction with the tides, considered as a sum of sine waves. However this approach was limited to the tides and was quite lengthy. A better method was developed which approximates the earth as a digital filter, fully described by the diffusion equation and its geological and geometrical parameters. An application of this technique showed good time correlation with the actual data and good sensitivity to the ratio of the appropriate parameters. Accordingly, it is proposed that a method incorporating this filter could be used as a tool in the assessment of preliminary wells. / Science, Faculty of / Earth, Ocean and Atmospheric Sciences, Department of / Graduate

The objective of this study is to develop guidelines for the design of sampling programs to predict groundwater discharge. A method for choosing a preferred sampling strategy from a set of alternatives is presented. A framework is outlined, in the form of an objective function, that incorporates both the cost of collecting data and the worth of data. A monetary value is assigned to the worth of hydraulic conductivity data by examining the economic losses associated with the uncertainty in predictions of groundwater discharge. The method is applied to the problem of designing a sampling program that measures hydraulic conductivity for predicting discharge from a rapid infiltration pond. Hydraulic conductivity data are generated for hypothetical hill slopes using a stochastic finite element model. A set of sampling strategies are selected. For each sampling strategy, the value and location of measurements and the uncertainty in the spatial variation of hydraulic conductivity are incorporated using conditional simulations. Estimates of pond discharge are calculated from the stream function solution and compared to the actual value of pond discharge for the hypothetical site. The root mean square error is used to quantify the uncertainty in discharge predictions. A set of alternative sampling strategies are compared using the objective function. Prediction uncertainty, measured by the root mean square error, is sensitive to both the structure of the heterogeneities and the location of measurements. Sampling schemes that lead to good estimates of the ensemble mean and standard deviation will not necessarily lead to good predictions of discharge. The goal of sampling schemes should be to collect data in key locations of the flow domain and to identify the spatial variation in hydraulic conductivity in a cost effective manner. For predicting discharge from a rapid infiltration pond, locating one or two initial boreholes below the pond is the preferred strategy for a majority of the cases tested. When the measurements are spaced evenly throughout the flow domain, important shallow layers may be missed that have a large influence on pond discharge. Increasing the number of boreholes does not necessarily lead to more certain predictions of pond discharge or to lower values of the objective function. Considerable uncertainty in discharge predictions can exist even with a relatively large number of measurements. While an optimal strategy exists, there is potential for significant variation in prediction uncertainty at individual sites. / Science, Faculty of / Earth, Ocean and Atmospheric Sciences, Department of / Graduate