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Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18

Dates

Publication Date
Start Date
2016-05-10
End Date
2018-11-09

Citation

Follette, D.D., Lampe, D.C., and Bayless, E.R., 2022, Groundwater recharge estimates for a green infrastructure installation at Gary City Hall, Gary, Indiana 2016–18: U.S. Geological Survey data release, https://doi.org/10.5066/P9H5RNNE.

Summary

A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert stormwater from city sewers. Input data were collected from a rain gage and five monitoring wells with installed pressure transducers at different locations (BFPK, CH1, CH2, CH3, GWPK; see site description). The Episodic Master Recession or EMR method (Heppner and Nimmo, 2005) is applied using these data as the singular input to estimate the amount of groundwater recharge at each of the five sites during the indicated period of time. References cited: Heppner, C.S., and Nimmo, J.R., 2005, A computer program for predicting recharge with a master recession curve: U.S. Geological [...]

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Attached Files

Click on title to download individual files attached to this item.

EMR_Aux_Textfiles.zip 7.41 KB application/zip
EMR_fitoutput_textfiles.zip 17.11 KB application/zip
EMR_Recharge_Estimation_Outputs.zip 49.03 KB application/zip

Purpose

The EMR method can be used to quantitatively estimate the amount of groundwater recharge resulting from precipitation events. This study sought to test the effectiveness of the EMR method at a study area with a relatively sandy soil, determine the amount of recharge within the rain garden and the surrounding area, and to determine the impact of the newly installed storm water control measures on flow to the city sewer system.

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ScienceBase WMS

Communities

  • Ohio-Kentucky-Indiana Water Science Center

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