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Continuous Monitoring and Synoptic Mapping of Nearshore Water Quality, Currents, and Bathymetry in Lake Michigan at Jeorse Park Beach near Gary, Indiana

Dates

Publication Date
Start Date
2015

Citation

Jackson, P.R., 2017, Continuous monitoring and synoptic mapping of nearshore water quality, currents, and bathymetry in Lake Michigan at Jeorse Park Beach near Gary, Indiana: U.S. Geological Survey data release, https://doi.org/10.5066/F7PN93V7.

Summary

These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled 'Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan'. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan. Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between restoration efforts [...]

Child Items (7)

Contacts

Point of Contact :
Patrick R Jackson
Author :
Patrick R Jackson
Metadata Contact :
Patrick R Jackson
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Central Midwest Water Science Center

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Continuous_Monitoring_and_Synoptic_Mapping_of_Nearshore_Water_Quality_Currents_and_Bathymetry_in_Lake_Michigan_at_Jeorse_Park_Beach_near_Gary_Indiana.xml
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Purpose

The pre- and post-restoration datasets comprised of these physical, chemical, biological, geological, and social data will allow restoration success to be evaluated using a science-based approach with quantifiable measures of progress. These data will also allow the evaluation of the resiliency of these restoration efforts under various climate change scenarios using existing climate change predictions and models.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7PN93V7

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