2012
DOI: 10.3133/sir20125122
|View full text |Cite
|
Sign up to set email alerts
|

Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey

Abstract: For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1-888-ASK-USGS.For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprodTo order this and other USGS information products, visit http://store.usgs.gov Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(13 citation statements)
references
References 25 publications
(31 reference statements)
0
13
0
Order By: Relevance
“…Additionally, observations made during a 5-day aquifer test (6-11 September 2007) that were used in model calibration, indicate that the pumping stress reversed the pre-test upward hydraulic gradient at the stream, creating the potential to induce flow from the stream and cause stream baseflow reduction. Piezometer measurements in the streambed confirmed the gradient reversal even though the flow of the stream was not measurably affected by the aquifer test because the flow of the stream was so much larger than the withdrawal rate from the one aquifer-test well (Charles and Nicholson 2012). The sub-regional groundwater model was used to develop plausible increases in groundwater withdrawals of 4×, 6.5×, and 8.1× over existing conditions that induced local stream baseflow reductions, on average, by 0.12, 0.20, and 0.26 m 3 s -1…”
Section: Groundwater Flow Modelmentioning
confidence: 85%
See 2 more Smart Citations
“…Additionally, observations made during a 5-day aquifer test (6-11 September 2007) that were used in model calibration, indicate that the pumping stress reversed the pre-test upward hydraulic gradient at the stream, creating the potential to induce flow from the stream and cause stream baseflow reduction. Piezometer measurements in the streambed confirmed the gradient reversal even though the flow of the stream was not measurably affected by the aquifer test because the flow of the stream was so much larger than the withdrawal rate from the one aquifer-test well (Charles and Nicholson 2012). The sub-regional groundwater model was used to develop plausible increases in groundwater withdrawals of 4×, 6.5×, and 8.1× over existing conditions that induced local stream baseflow reductions, on average, by 0.12, 0.20, and 0.26 m 3 s -1…”
Section: Groundwater Flow Modelmentioning
confidence: 85%
“…Scenarios presented in the full model documentation (see Charles and Nicholson 2012) indicate that increased groundwater withdrawal induces stream baseflow reduction. Additionally, observations made during a 5-day aquifer test (6-11 September 2007) that were used in model calibration, indicate that the pumping stress reversed the pre-test upward hydraulic gradient at the stream, creating the potential to induce flow from the stream and cause stream baseflow reduction.…”
Section: Groundwater Flow Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Charles and Nicholson (2011) identified three major factors contributing to differences in the wetland drawdown response among the study basins: 1) average distance between wetlands and surface water (i.e. streams 5 From-To change for 'winning' wetland community from Baseline condition to each Best and Worst case scenario.…”
Section: Discussionmentioning
confidence: 99%
“…Two types of empirically determined models were developed to predict potential changes in vegetation associated with water-level declines; these included simple regression models that predict the relative abundance of wetland-and upland-indicator species as a function of water level and logistic regression models that predict the probability of encountering the different vegetation types in relation to water level. A companion study by Charles and Nicholson (2011) of the U.S. Geological Survey undertook an intensive hydrologic investigation of the three study basins. One outcome of this component of the project was the development of a spatially distributed groundwater model to estimate and map the water table level across each of the three study basins.…”
Section: Introductionmentioning
confidence: 99%