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fl.water.usgs.gov/PDF_files/wri00_4094_yobbi.pdf
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UFA. VERTICAL. LEAKAGE. Application of Nonlinear Least-Squares. Regression to Ground-Water Flow. Modeling, West Central Florida. U.S. Department of the ...
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dspace.udel.edu:8080/dspace/handle/19716/2343
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Using regression and neural networks, this study models nitrate concentration in ground water as a function of iron concentration in ground water, season and ...
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ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5968998
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Aug 1, 2011 ... Using geographically weighted regression to explore the spatially varying relationship between land subsidence and groundwater level ...
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ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5893008
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Jun 16, 2011 ... Because of the nonlinear relationship between groundwater depth and some parameters, Generalized Regression Neural Network (GRNN) ...
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www.kitsapgov.com/dcd/lu_env/cao/bas/aquifer/USGS%20Nit...
www.kitsapgov.com/dcd/lu_env/cao/bas/aquifer/USGS%20Nitrate%20Vulnerability%20study.pdf
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Assessing Ground-Water Vulnerability Using Logistic Regression. Anthony J. Tesoriero, Emily L. Inkpen and Frank D. Voss. Water Resources Division, U.S. ...
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www.ncbi.nlm.nih.gov/pubmed/21043265
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Prediction of groundwater contamination with multivariate regression and probabilistic capture zones. Lim JW, Bae GO, Kaown D, Lee KK. Seoul National ...
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www.ncbi.nlm.nih.gov/pubmed/17335484
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A regional regression model was developed to estimate the spatial distribution of ground water recharge in subhumid regions. The regional regression recharge ...
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www.agu.org/journals/wr/v019/i003/WR019i003p00662/index...
www.agu.org/journals/wr/v019/i003/WR019i003p00662/index.shtml?tab=ref
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This paper investigates factors influencing the degree of improvement in estimates of parameters of a nonlinear regression groundwater flow model by ...
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www.bvmengineering.ac.in/docs/published%20papers/civils...
www.bvmengineering.ac.in/docs/published%20papers/civilstruct/Civil/101019.pdf
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may be increasing the rate at which Groundwater quality is being degraded. This paper examines the temporal variation and linear regression analysis of ...
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