4 edition of Regression modeling of ground-water flow found in the catalog.
Regression modeling of ground-water flow
by U.S. G.P.O., For sale by the U.S. Geological Survey, Books and Open-File Reports Section in Washington, Denver, CO
Written in English
|Statement||by Richard L. Cooley and Richard L. Naff.|
|Series||Techniques of water-resources investigations of the United States Geological Survey -- bk. 3, ch. B 4.|
|Contributions||Geological Survey (U.S.)|
|The Physical Object|
|Pagination||ix, 232 p.|
|Number of Pages||232|
1 Novem Multiple regression modeling of water table response to groundwater pumping and runoff Robert Harrington, PhD Introduction One of the goals of the Los Angeles Department of Water and Power (LADWP)/Inyo County Long-term. The influence statistics were used to (1) identify the influential observations in the calibration of a three‐dimensional, groundwater flow model of a fractured‐rock aquifer through nonlinear regression, and (2) quantify the effect of omitting influential observations on the set of estimated parameter by:
Book PDF Available. Modeling ground-water flow and quality. January ; Publisher: Medical geology. C. Groundwater Flow Models. A major revolution in the quantitative analysis of. The purpose of this paper is to present and test (i) a theoretical foundation for modeling groundwater flow using lumped or smoothed approximations of the heterogeneous system characteristics and nonlinear regression calibration techniques and (ii) some important controls on the accuracy of the model by:
An official website of the United States government. means it’s official. Federal government websites often end Before sharing sensitive information, make sure you're on a federal government site. A regional regression model was developed to estimate the spatial distribution of ground water recharge in subhumid regions. The regional regression recharge (RRR) model was based on a regression.
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The present text has been designed to teach these methods to scientists and engineers engaged in ground-water modeling. The basic methodology is multiple, nonlinear regression, in which the regression model is some type of ground-water flow model. Complete descriptions of regression methodology as applied to groundwater flow models allow scientists and engineers engaged in flow modeling to apply the methods to a wide range of problems.
Organization of the text proceeds from an introduction that discusses the general topic of groundwater flow modeling. Regression modeling of ground-water flow.
[Richard L Cooley; Richard L Naff; Geological Survey (U.S.)] CO: For sale by Books and Open-File Reports Section, U.S. Geological Survey, Series: Techniques of water-resources investigations of the United Groundwater flow -- Mathematical models.
Regression analysis -- Computer programs. Regression modeling of ground-water flow Techniques of Water-Resources Investigations B4 By: Richard L.
Cooley and Richard L. Naff. Modifications to the computer code for nonlinear regression solution of steady-state ground-water flow problems in "Regression Modeling of Ground-Water Flow", by R.L.
Cooley and R.L. Naff (U.S. Geological Survey, Techniques of Water Resources Investigations, book 3, chap. B4, ), improve the performance of the code.
A nonlinear regression groundwater flow model, based on a Galerkin finite-element discretization, was used to analyze steady state two-dimensional groundwater flow in the areally extensive Madison aquifer in a 75, mi2 area of the Northern Great Plains.
Regression parameters estimated include intrinsic permeabilities of the main aquifer and separate. Analytic Element Modeling of Grounwater Flow provides all the basics necessary to approach AEM successfully, including a presentation of fundamental concepts and a thorough introduction to Dupuit-Forchheimer flow.
This text is unique in its emphasis on the actual use of analytic element by: "The book presents a useful text that guides the engineer and practitioner through all major stages in the complex adventure of modeling groundwater flow and transport mechanisms in actual field settings.
An extensive selection of most recent references helps with understanding of current development in subsurface modeling, Cited by: This book presents theory and practice of groundwater and pollution flow simulation.
It has thirteen chapters. Its first seven chapters contain theoretical information related to general porous media fluid flow along with mathematical models for flow in aquifers, seawater intrusion, unsaturated flow, and groundwater by: By Thomas E.
Reilly and Arlen W. Harbaugh. Abstract. Ground-water flow modeling is an important tool fre- quently used in studies of ground-water systems.
Reviewers and users of these studies have a need to evaluate the accuracy or reasonableness of the ground-water flow by: "The second edition of Applied Groundwater Modeling is a "must use" book in advanced undergraduate and graduate courses dealing with the practical application of groundwater models.
It is also an outstanding reference book for professional groundwater scientists and engineers constructing models in the consulting, industrial, and governmental.
Toth () used for the first time analytical solutions to investigate groundwater flow in hypothetical small drainage basins. He found theoretically the existence of hierarchically nested groundwater flow systems: local, intermediate (sub-regional) and regional ().Topography, geology and climate turned out to be major factors for the formation of three sub-flow systems of gravity-driven flow Cited by: As mentioned in part 3, the linear regression technique is based on the relationship between the effective variables and groundwater seepage flow.
Therefore, four variables were selected for the regression model, which was associated with the groundwater seepage into tunnel and available from the tunnel site by: 9.
Regional regression models for predicting flood flow are also available (Ries and Crouse, ). However, models for annual TSF are not as well developed as those for low flows and floods (Vogel et al., ). Vogel et al. () developed regional regression models for predicting TSF using basin area, precipitation, and temperature.
They Cited by: Regression modeling of ground-water flow. [Richard L Cooley; Geological Survey (U.S.)] For sale by the U.S. Geological Survey, Books and Open-File Reports Section, Series: Techniques of water-resources investigations of the United States Geological Groundwater flow -- Mathematical models.
Regression analysis -- Computer programs. The basic approach of this book is to accurately describe the underlying physics of groundwater flow and solute transport in heterogeneous porous media, starting at the microscopic level, and to rigorously derive their mathematical representation at the macroscopic levels.
Groundwater Flow and Mass Transport Modeling on *FREE* shipping on qualifying offers. Groundwater Flow and Mass Transport Modeling. Groundwater constitutes an important component of many water resource systems, supplying water for domestic use, for industry, and for agriculture.
Management of a. Analysis of Ground-Water Flow The simulated ground-w. ater levels in the regional model were most sensitive to the location of the freshwater–saltwater interface, the amount of recharge and irrigation return ﬂow applied to the Oxnard Plain, the vertical distribution of pumpage, the variation in streambed conductance, and theFile Size: 4MB.
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Get this from a library! Regression modeling of ground-water flow: modifications to the computer code for nonlinear regression solution of steady-state ground-water flow problems. [Richard L Cooley; Geological Survey (U.S.)].A nonlinear regression groundwater flow model, based on a Galerkin finite‐element discretization, was used to analyze steady state two‐dimensional groundwater flow in the areally extensive Madison aquifer in a 75, mi 2 area of the Northern Great Plains.
Regression parameters estimated include intrinsic permeabilities of the main aquifer and separate Cited by: Regression modeling of ground-water flow Supplement 1: modifications to the computer code for nonlinear regression solution of steady-state ground-water flow problems (Book, )  Get this from a library!