Jon Jeffrey Starn, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 36
Metamodels to bridge the gap between modeling and decision support
No abstract available.
Authors
Michael N. Fienen, Bernard T. Nolan, Daniel T. Feinstein, J. Jeffrey Starn
Simulating water-quality trends in public-supply wells in transient flow systems
Models need not be complex to be useful. An existing groundwater-flow model of Salt Lake Valley, Utah, was adapted for use with convolution-based advective particle tracking to explain broad spatial trends in dissolved solids. This model supports the hypothesis that water produced from wells is increasingly younger with higher proportions of surface sources as pumping changes in the basin over tim
Authors
J. Jeffrey Starn, Christopher T. Green, Stephen R. Hinkle, Amvrossios C. Bagtzoglou, Bernard J. Stolp
Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection
Analytical models of the travel time distribution (TTD) from a source area to a sample location are often used to estimate groundwater ages and solute concentration trends. The accuracies of these models are not well known for geologically complex aquifers. In this study, synthetic datasets were used to quantify the accuracy of four analytical TTD models as affected by TTD complexity, observation
Authors
Christopher T. Green, Yong Zhang, Bryant C. Jurgens, J. Jeffrey Starn, Matthew K. Landon
Uncertainty in simulated groundwater-quality trends in transient flow
In numerical modeling of groundwater flow, the result of a given solution method is affected by the way in which transient flow conditions and geologic heterogeneity are simulated. An algorithm is demonstrated that simulates breakthrough curves at a pumping well by convolution-based particle tracking in a transient flow field for several synthetic basin-scale aquifers. In comparison to grid-based
Authors
J. Jeffrey Starn, Amvrossios Bagtzoglou, Gary A. Robbins
The use of process models to inform and improve statistical models of nitrate occurrence, Great Miami River Basin, southwestern Ohio
Statistical models of nitrate occurrence in the glacial aquifer system of the northern United States, developed by the U.S. Geological Survey, use observed relations between nitrate concentrations and sets of explanatory variables—representing well-construction, environmental, and source characteristics— to predict the probability that nitrate, as nitrogen, will exceed a threshold concentration. H
Authors
Donald A. Walter, J. Jeffrey Starn
Methods for simulating solute breakthrough curves in pumping groundwater wells
In modeling there is always a trade-off between execution time and accuracy. For gradient-based parameter estimation methods, where a simulation model is run repeatedly to populate a Jacobian (sensitivity) matrix, there exists a need for rapid simulation methods of known accuracy that can decrease execution time, and thus make the model more useful without sacrificing accuracy. Convolution-based m
Authors
J. Jeffrey Starn, Amvrossios C. Bagtzoglou, Gary A. Robbins
Programs for calibration‐based Monte Carlo simulation of recharge areas
One use of groundwater flow models is to simulate contributing recharge areas to wells or springs. Particle tracking can be used to simulate these recharge areas, but in many cases the modeler is not sure how accurate these recharge areas are because parameters such as hydraulic conductivity and recharge have errors associated with them. The scripts described in this article (GEN_LHS and MCDRIVER_
Authors
J. Jeffrey Starn, Amvrossios C. Bagtzoglou
USGS library for S-PLUS for Windows -- Release 4.0
Release 4.0 of the U.S. Geological Survey S-PLUS library supercedes release 2.1. It comprises functions, dialogs, and datasets used in the U.S. Geological Survey for the analysis of water-resources data. This version does not contain ESTREND, which was in version 2.1. See Release 2.1 for information and access to that version.
This library requires Release 8.1 or later of S-PLUS for Windows. S-PL
Authors
David L. Lorenz, Elizabeth A. Ahearn, Janet M. Carter, Timothy A. Cohn, Wendy J. Danchuk, Jeffrey W. Frey, Dennis R. Helsel, Kathy Lee, David C. Leeth, Jeffrey D. Martin, Virginia L. McGuire, Kathleen M. Neitzert, Dale M. Robertson, James R. Slack, J. Jeffrey Starn, Aldo V. Vecchia, Donald H. Wilkison, Joyce E. Williamson
Estimation of the effects of land use and groundwater withdrawals on streamflow for the Pomperaug River, Connecticut
A precipitation runoff model for the Pomperaug River watershed, Connecticut was developed to address issues of concern including the effect of development on streamflow and groundwater recharge, and the implications of water withdrawals on streamflow. The model was parameterized using a strategy that requires a minimum of calibration and optimization by establishing basic relations between the par
Authors
David M. Bjerklie, J. Jeffrey Starn, Claudia Tamayo
Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut
This fact sheet highlights findings from the vulnerability study of a public-supply well in Woodbury, Connecticut. The well typically produces water at the rate of 72 gallons per minute from the glacial aquifer system in the Pomperaug River Basin. Water samples were collected at the public-supply well and at monitoring wells installed in or near the simulated zone of contribution to the supply wel
Authors
Martha L. Jagucki, Craig J. Brown, J. Jeffrey Starn, Sandra M. Eberts
Aquifer chemistry and transport processes in the zone of contribution to a public-supply well in Woodbury, Connecticut, 2002-06
A glacial aquifer system in Woodbury, Connecticut, was studied to identify factors that affect the groundwater quality in the zone of contribution to a community public-supply well. Water samples were collected during 2002-06 from the public-supply well and from 35 monitoring wells in glacial stratified deposits, glacial till, and fractured bedrock. The glacial aquifer is vulnerable to contaminati
Authors
Craig J. Brown, J. Jeffrey Starn, Kenneth G. Stollenwerk, Remo A. Mondazzi, Thomas J. Trombley
Hydrogeologic settings and ground-water flow simulations for regional studies of the Transport of Anthropogenic and Natural Contaminants to public-supply wells - Studies begun in 2001
This study of the Transport of Anthropogenic and Natural Contaminants to public-supply wells (TANC study) is being conducted as part of the U.S. Geological Survey National Water Quality Assessment (NAWQA) Program and was designed to increase understanding of the most important factors to consider in ground-water vulnerability assessments. The seven TANC studies that began in 2001 used retrospectiv
Authors
Suzanne S. Paschke
Non-USGS Publications**
Starn, J.J., Bagtzoglou, A.C., and Robbins, G.A., 2010, Using atmospheric tracers to reduce uncertainty in groundwater recharge areas: Ground Water Volume 48, Issue 6, November/December 2010, Pages: 858–868. https://doi.org/10.1111/j.1745-6584.2010.00674.x
Starn, J.J., 2001, Analysis of uncertainty of contributing areas to wells using parameter estimation and Monte Carlo simulation: MODFLOW 2001 and Other Modeling Odysseys, September 11-14, 2001, Golden, Colorado, Proceedings: International Ground Water Modeling Center, Colorado School of Mines, and the U.S. Geological Survey, v. 1, p. 305-311.
Starn, J.J., 1994, Field application of nonlinear regression to estimate parameters of a two-dimensional ground-water flow model, in Proceedings, 1994 Groundwater Modeling Conference, Fort Collins, Colorado, August 10-12,1994: Colorado State University, p 575-582.
Starn, J.J., 1994, Apparent solute dispersion in an alluvial aquifer/stream system, in Morganwalp, D.W. and Aronson, D.A., eds., 1994, U.S. Geological Survey Toxic Substances Hydrology Program—Proceedings of the Technical Meeting, Colorado Springs, Colorado, September 20-24, 1993: U.S. Geological Survey Water- Resource Investigations Report 94- 4015, p 935-940. https://doi.org/10.3133/wri944015
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 36
Metamodels to bridge the gap between modeling and decision support
No abstract available.
Authors
Michael N. Fienen, Bernard T. Nolan, Daniel T. Feinstein, J. Jeffrey Starn
Simulating water-quality trends in public-supply wells in transient flow systems
Models need not be complex to be useful. An existing groundwater-flow model of Salt Lake Valley, Utah, was adapted for use with convolution-based advective particle tracking to explain broad spatial trends in dissolved solids. This model supports the hypothesis that water produced from wells is increasingly younger with higher proportions of surface sources as pumping changes in the basin over tim
Authors
J. Jeffrey Starn, Christopher T. Green, Stephen R. Hinkle, Amvrossios C. Bagtzoglou, Bernard J. Stolp
Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection
Analytical models of the travel time distribution (TTD) from a source area to a sample location are often used to estimate groundwater ages and solute concentration trends. The accuracies of these models are not well known for geologically complex aquifers. In this study, synthetic datasets were used to quantify the accuracy of four analytical TTD models as affected by TTD complexity, observation
Authors
Christopher T. Green, Yong Zhang, Bryant C. Jurgens, J. Jeffrey Starn, Matthew K. Landon
Uncertainty in simulated groundwater-quality trends in transient flow
In numerical modeling of groundwater flow, the result of a given solution method is affected by the way in which transient flow conditions and geologic heterogeneity are simulated. An algorithm is demonstrated that simulates breakthrough curves at a pumping well by convolution-based particle tracking in a transient flow field for several synthetic basin-scale aquifers. In comparison to grid-based
Authors
J. Jeffrey Starn, Amvrossios Bagtzoglou, Gary A. Robbins
The use of process models to inform and improve statistical models of nitrate occurrence, Great Miami River Basin, southwestern Ohio
Statistical models of nitrate occurrence in the glacial aquifer system of the northern United States, developed by the U.S. Geological Survey, use observed relations between nitrate concentrations and sets of explanatory variables—representing well-construction, environmental, and source characteristics— to predict the probability that nitrate, as nitrogen, will exceed a threshold concentration. H
Authors
Donald A. Walter, J. Jeffrey Starn
Methods for simulating solute breakthrough curves in pumping groundwater wells
In modeling there is always a trade-off between execution time and accuracy. For gradient-based parameter estimation methods, where a simulation model is run repeatedly to populate a Jacobian (sensitivity) matrix, there exists a need for rapid simulation methods of known accuracy that can decrease execution time, and thus make the model more useful without sacrificing accuracy. Convolution-based m
Authors
J. Jeffrey Starn, Amvrossios C. Bagtzoglou, Gary A. Robbins
Programs for calibration‐based Monte Carlo simulation of recharge areas
One use of groundwater flow models is to simulate contributing recharge areas to wells or springs. Particle tracking can be used to simulate these recharge areas, but in many cases the modeler is not sure how accurate these recharge areas are because parameters such as hydraulic conductivity and recharge have errors associated with them. The scripts described in this article (GEN_LHS and MCDRIVER_
Authors
J. Jeffrey Starn, Amvrossios C. Bagtzoglou
USGS library for S-PLUS for Windows -- Release 4.0
Release 4.0 of the U.S. Geological Survey S-PLUS library supercedes release 2.1. It comprises functions, dialogs, and datasets used in the U.S. Geological Survey for the analysis of water-resources data. This version does not contain ESTREND, which was in version 2.1. See Release 2.1 for information and access to that version.
This library requires Release 8.1 or later of S-PLUS for Windows. S-PL
Authors
David L. Lorenz, Elizabeth A. Ahearn, Janet M. Carter, Timothy A. Cohn, Wendy J. Danchuk, Jeffrey W. Frey, Dennis R. Helsel, Kathy Lee, David C. Leeth, Jeffrey D. Martin, Virginia L. McGuire, Kathleen M. Neitzert, Dale M. Robertson, James R. Slack, J. Jeffrey Starn, Aldo V. Vecchia, Donald H. Wilkison, Joyce E. Williamson
Estimation of the effects of land use and groundwater withdrawals on streamflow for the Pomperaug River, Connecticut
A precipitation runoff model for the Pomperaug River watershed, Connecticut was developed to address issues of concern including the effect of development on streamflow and groundwater recharge, and the implications of water withdrawals on streamflow. The model was parameterized using a strategy that requires a minimum of calibration and optimization by establishing basic relations between the par
Authors
David M. Bjerklie, J. Jeffrey Starn, Claudia Tamayo
Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut
This fact sheet highlights findings from the vulnerability study of a public-supply well in Woodbury, Connecticut. The well typically produces water at the rate of 72 gallons per minute from the glacial aquifer system in the Pomperaug River Basin. Water samples were collected at the public-supply well and at monitoring wells installed in or near the simulated zone of contribution to the supply wel
Authors
Martha L. Jagucki, Craig J. Brown, J. Jeffrey Starn, Sandra M. Eberts
Aquifer chemistry and transport processes in the zone of contribution to a public-supply well in Woodbury, Connecticut, 2002-06
A glacial aquifer system in Woodbury, Connecticut, was studied to identify factors that affect the groundwater quality in the zone of contribution to a community public-supply well. Water samples were collected during 2002-06 from the public-supply well and from 35 monitoring wells in glacial stratified deposits, glacial till, and fractured bedrock. The glacial aquifer is vulnerable to contaminati
Authors
Craig J. Brown, J. Jeffrey Starn, Kenneth G. Stollenwerk, Remo A. Mondazzi, Thomas J. Trombley
Hydrogeologic settings and ground-water flow simulations for regional studies of the Transport of Anthropogenic and Natural Contaminants to public-supply wells - Studies begun in 2001
This study of the Transport of Anthropogenic and Natural Contaminants to public-supply wells (TANC study) is being conducted as part of the U.S. Geological Survey National Water Quality Assessment (NAWQA) Program and was designed to increase understanding of the most important factors to consider in ground-water vulnerability assessments. The seven TANC studies that began in 2001 used retrospectiv
Authors
Suzanne S. Paschke
Non-USGS Publications**
Starn, J.J., Bagtzoglou, A.C., and Robbins, G.A., 2010, Using atmospheric tracers to reduce uncertainty in groundwater recharge areas: Ground Water Volume 48, Issue 6, November/December 2010, Pages: 858–868. https://doi.org/10.1111/j.1745-6584.2010.00674.x
Starn, J.J., 2001, Analysis of uncertainty of contributing areas to wells using parameter estimation and Monte Carlo simulation: MODFLOW 2001 and Other Modeling Odysseys, September 11-14, 2001, Golden, Colorado, Proceedings: International Ground Water Modeling Center, Colorado School of Mines, and the U.S. Geological Survey, v. 1, p. 305-311.
Starn, J.J., 1994, Field application of nonlinear regression to estimate parameters of a two-dimensional ground-water flow model, in Proceedings, 1994 Groundwater Modeling Conference, Fort Collins, Colorado, August 10-12,1994: Colorado State University, p 575-582.
Starn, J.J., 1994, Apparent solute dispersion in an alluvial aquifer/stream system, in Morganwalp, D.W. and Aronson, D.A., eds., 1994, U.S. Geological Survey Toxic Substances Hydrology Program—Proceedings of the Technical Meeting, Colorado Springs, Colorado, September 20-24, 1993: U.S. Geological Survey Water- Resource Investigations Report 94- 4015, p 935-940. https://doi.org/10.3133/wri944015
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.