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dramatic advances in the efficiency of digital computers during the past decade have provided hydrologists with a powerful tool for numerical modeling of groundwater systems. Introduction to Groundwater Modeling presents a broad, comprehensive overview of the fundamental concepts and applications of computerized groundwater modeling.The book covers both(More)
This paper reviews the use of music as an adjuvant to the control of pain, especially in medical procedures. Surgery causes stress and anxiety that exacerbates the experience of pain. Self-report of and physiological measures on post-surgical patients indicate that music therapy or music stimulation reduces the perception of pain, both alone and when part(More)
Owing to increased demands on ground water accompanied by increased drawdowns, technologies that use recharge options, such as aquifer storage recovery (ASR), are being used to optimize available water resources and reduce adverse effects of pumping. In this paper, three representative ground water flow models were created to assess the impact of(More)
An analysis of noise was performed on scintillation camera images. The analysis was performed on sets of field floods, uniform exposures over the field of view, in such a way that stochastic and non-stochastic effects were separable. Stochastic noise for the digitally acquired images was found to approach the limit of Poisson count statistics. The(More)
In a typical ground water flow model, lakes are represented by specified head nodes requiring that lake levels be known a priori. To remove this limitation, previous researchers assigned high hydraulic conductivity (K) values to nodes that represent a lake, under the assumption that the simulated head at the nodes in the high-K zone accurately reflects lake(More)
Neural networks are applied to the Rayleigh discrimination task. Network performance is compared to results obtained previously using human viewers, and to the best machine approximation to the ideal observer found in an earlier investigation. We find that simple preprocessing of the input image, in this case by projection, greatly improves network(More)
Uncertainty regarding spatial variations of model parameters often results in the simplifying assumption that parameters are spatially uniform. However, spatial variability may be important in resource assessment and model calibration. In this paper, a methodology is presented for estimating a critical basin size, above which base flows appear to be(More)