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

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U.S. Geological Survey2022-01-01 更新2026-04-23 收录
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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. In order to investigate the impacts of the installed SCMs, hydrologic data were collected prior to and following the installation to estimate site water budgets (Lampe and others, 2022). The Episodic Master Recession (EMR) method was used to estimate recharge rates at five different locations for inclusion in the site water budgets (Heppner and Nimmo, 2005; Nimmo and others, 2015). Input data for the EMR software package were collected from a rain gage and five monitoring wells with installed pressure transducers at different locations (see site description). The method output includes a descriptive text file, two hydrographs and a csv file for each site and year of data. 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, 2016–2018, USGS Scientific Investigations Report 2022-XXXX, XX p. (in prep).
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2022-01-01
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