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

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 Survey Scientific Investigations Report 2005–5172, 10 p., [Also available at https://pubs.usgs.gov/sir/2005/5172/]. Nimmo, J.R., Horowitz, C., and Mitchell, L., 2015, Discrete-storm water-table fluctuation method to estimate episodic recharge: Groundwater, v.53, no. 2, https://doi.org/10.1111/gwat.12177. Lampe, D.C., Bayless, E.R., and Follette, D.D., 2022, Stormwater reduction and water budget for a rain garden on sandy soil, Gary, Indiana, 2016–18: U.S. Geological Survey Scientific Investigations Report 2022–5101, 39 p., https://doi.org/10.3133/sir20225101.

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Author(s) Danielle D Follette orcid, David C Lampe orcid, Randall Bayless orcid
Publication Date 2022-12-01
Beginning Date of Data 2016-05-10
Ending Date of Data 2018-11-09
Data Contact
DOI https://doi.org/10.5066/P9H5RNNE
Citation Follette, D.D., Lampe, D.C., and Bayless, R., 2022, Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18: U.S. Geological Survey data release, https://doi.org/10.5066/P9H5RNNE.
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Metadata Date 2022-12-02
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Harvest Source: ScienceBase
Harvest Date: 2024-07-24T04:01:55.917Z