Precipitation and Groundwater Level Inputs for 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. These input data were collected from a rain gage ((USGS site 413611087201301, City Hall Weather Station at Gary, IN.) and five monitoring wells with installed pressure transducers at different locations (see site description). The Episodic Master Recession (EMR) method 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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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "David C Lampe",
"@type": "vcard:Contact",
"hasEmail": "mailto:dclampe@usgs.gov"
}
|
| description | 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. These input data were collected from a rain gage ((USGS site 413611087201301, City Hall Weather Station at Gary, IN.) and five monitoring wells with installed pressure transducers at different locations (see site description). The Episodic Master Recession (EMR) method 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9H5RNNE",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5f2594f082cef313ed9828d1 |
| keyword |
[
"Coterminous, United States",
"Episodic Master Recession (EMR)",
"Gary, Indiana",
"Green Infrastructure",
"Rain Garden",
"Recharge",
"USGS:5f2594f082cef313ed9828d1",
"United States",
"biota"
]
|
| modified | 2022-12-02T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -87.337000, 41.599500, -87.334500, 41.604100 |
| theme |
[
"geospatial"
]
|
| title | Precipitation and Groundwater Level Inputs for a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18 |
