Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 228.0 MB | |
Created: | Aug 20, 2023 at 1:50 a.m. | |
Last updated: | Aug 25, 2023 at 1:43 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 1848 |
Downloads: | 18 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This resource contains groundwater level data from 39 wells in Dead Run watershed near Woodlawn, MD, USA. Boreholes (51-mm diameter) were drilled using a Shaw backpack portable drill, with 25.4-mm ID PVC pipes inserted to serve as wells, each screened 0.3048 m at its lower end. Wells are installed in pairs with bottom elevations differing by about 1 to 3 m. Well pairs are installed either in the riparian zone or at the hilltop, relative to the Dead Run channel. Between 4 and 8 wells comprise a transact perpendicular to the stream. Wells are outfitted with vanEssen Micro-Diver pressure transducers. Barometric pressure is measured at one location using a vanEssen Baro-Diver. Groundwater level below land surface is calculated from site-specific information on location of the pressure transducer sensor point below land surface. Pressure transducer data are recorded at 5-minute intervals. Instruments were deployed in 2015 and maintained until failure or end of a project. Manual downloads of water pressure data are done every 5 months; downloads of barometric pressure data are done every 2.5 months. The wells are located in the Piedmont physiographic province, in suburban Baltimore, Maryland, USA in either saprolite or highly weathered fractured bedrock.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
Readme.txt
# Site Information # ---------------------------------- # See table below. # # Variable and Method Information # ---------------------------------- # VariableCode: GroundwaterDepth_BLS # VariableName: Groundwater Depth # # VariableCode: WaterLevel_ASL # VariableName: Water Level # # ValueType: Derived Value # DataType: Continuous # GeneralCategory: Hydrology # SampleMedium: Groundwater # VariableUnitsName: meters # VariableUnitsType: length # VariableUnitsAbbreviation: m # NoDataValue: -9999 # TimeSupport: 0.0 # TimeSupportUnitsAbbreviation: min # TimeSupportUnitsType: Time # TimeSupportUnitsName: minute # # MethodCode: Micro-Diver # MethodDescription: Boreholes (51-mm diameter) were drilled using a Shaw backpack portable drill, with 25.4-mm ID PVC pipes inserted to serve as wells, each screened 0.3048 m at its lower end. A deeper well was drilled to refusal (bedrock) and then a shallower well was installed 1-3 m above the deeper well, depending on site conditions. Each well annulus was packed with sand around the screened interval and with a mixture of bentonite and Portland cement from the top of the well screen to land surface. Well pairs are installed either in the riparian zone or at the hilltop, relative to the Dead Run channel. Between 4 and 8 wells comprise a transact perpendicular to the stream. Wells are outfitted with vanEssen Micro-Diver pressure transducers (https://www.vanessen.com/products/data-loggers/micro-diver/). Barometric pressure is measured at one location using a vanEssen Baro-Diver (https://www.vanessen.com/products/data-loggers/baro-diver/). Pressure head above the sensor (height of water column above sensor measurement point) is obtained by subtracting barometric pressure from water pressure and scaling by gravity*water density. Groundwater level below land surface is calculated from site-specific information on location of the pressure transducer sensor point below land surface. Water level above sea level is calculated by subtracting groundwater depth from the elevation of the land surface. Land surface elevations are approximated from Maryland lidar DEM and not surveyed in precisely and therefore water levels ASL are not precise. Pressure transducer data are recorded at 5-minute intervals. Instruments were deployed in 2015 and maintained until failure or end of a project. Manual downloads of water pressure data are done every 5 months; downloads of barometric pressure data are done every 2.5 months. The wells are located in the Piedmont physiographic province in suburban Baltimore, Maryland, USA in either saprolite or highly weathered fractured bedrock. # # Processing Level #----------------------------------- # QualityControlLevelCode: QC0 # QualityControlLevelDefinition: Corrected data. # QualityControlLevelExplanation: Water pressure data have been corrected with barometric pressure and converted to groundwater depth using site geometry. Aberrations in sensor data have not been removed. # # Source Information # ---------------------------------- # Organizations: University of Maryland, Baltimore County # SourceCode: UMBC # SourceDescription: Pressure transducer data are collected and analyzed by UMBC as part of the Urban Critical Zone Network Cluster. # ContactName: Claire Welty # Email: weltyc@umbc.edu # Citation: Welty, C., J. Kemper, M. McWilliams (2023). Groundwater levels in Dead Run watershed, Maryland, USA, HydroShare, http://www.hydroshare.org/resource/36934451d34742708939374010efb530 # # Censor Codes # ---------------------------------- # gt: greater than # lt: less than # nc: not censored # nd: non-detect # # UTC Offset ----------------------------------- # UTCOffset: -5 # SiteCode SiteName Latitude Longitude LatLonDatum DepthToWellScreenBottomBLS_m DepthToWellScreenTopBLS_m DepthToWellScreenMidpointBLS_m DepthToMeasurementPointBLS_m LandSurfaceElevationFromLidarDEM_m ElevationDatum LandscapePositionRelativeToStream State County SiteType 9A Well9A -9999 -9999 NAD83 1.50 1.19 1.35 -9999 -9999 NAVD88 UpslopeLHS Maryland Baltimore Well 9B Well9B -9999 -9999 NAD83 3.90 3.59 3.73 -9999 -9999 NAVD88 UpslopeLHS Maryland Baltimore Well 9C Well9C -9999 -9999 NAD83 3.82 3.51 3.67 -9999 -9999 NAVD88 RiparianLHS Maryland Baltimore Well 9D Well9D -9999 -9999 NAD83 6.36 6.06 6.21 -9999 -9999 NAVD88 RiparianLHS Maryland Baltimore Well 15A Well15A 39.29592391 -76.74429211 NAD83 4.85 4.55 4.70 3.03 127.3 NAVD88 UpslopeLHS Maryland Baltimore Well 15B Well15B 39.29590622 -76.74430765 NAD83 7.42 7.11 7.26 3.03 127.37 NAVD88 UpslopeLHS Maryland Baltimore Well 15C Well15C 39.29585484 -76.7441787 NAD83 2.53 2.22 2.37 1.83 125.584 NAVD88 RiparianLHS Maryland Baltimore Well 15D Well15D 39.29584258 -76.74419692 NAD83 5.27 4.97 5.12 1.75 125.596 NAVD88 RiparianLHS Maryland Baltimore Well 15E Well15E 39.29581108 -76.74410068 NAD83 2.48 2.18 2.33 1.89 125.44 NAVD88 RiparianRHS Maryland Baltimore Well 15F Well15F 39.29580069 -76.74411149 NAD83 5.16 4.86 5.01 1.64 125.465 NAVD88 RiparianRHS Maryland Baltimore Well 15G Well15G 39.29575245 -76.74399718 NAD83 4.15 3.84 3.99 3.82 127.462 NAVD88 UpslopeRHS Maryland Baltimore Well 15H Well15H 39.29573873 -76.74400958 NAD83 7.85 7.54 7.70 3.83 127.344 NAVD88 UpslopeRHS Maryland Baltimore Well 16C Well16C 39.29328744 -76.74515904 NAD83 2.54 2.23 2.38 1.57 127.857 NAVD88 RiparianLHS Maryland Baltimore Well 16D Well16D 39.29327475 -76.74515318 NAD83 5.47 5.16 5.31 1.67 128.04 NAVD88 RiparianLHS Maryland Baltimore Well 16E Well16E 39.29328417 -76.74507989 NAD83 2.59 2.29 2.44 1.58 127.936 NAVD88 RiparianRHS Maryland Baltimore Well 16F Well16F 39.29330437 -76.74508193 NAD83 5.53 5.23 5.38 1.56 127.875 NAVD88 RiparianRHS Maryland Baltimore Well 17A Well17A 39.291876 -76.74594032 NAD83 3.19 2.89 3.04 2.95 131.487 NAVD88 UpslopeLHS Maryland Baltimore Well 17B Well17B 39.29187809 -76.74594016 NAD83 5.50 5.19 5.35 3.19 131.421 NAVD88 UpslopeLHS Maryland Baltimore Well 17C Well17C 39.29182515 -76.74579173 NAD83 1.82 1.52 1.67 0.94 130.979 NAVD88 RiparianLHS Maryland Baltimore Well 17D Well17D 39.29181479 -76.74580092 NAD83 5.01 4.71 4.86 2.28 131.056 NAVD88 RiparianLHS Maryland Baltimore Well 17E Well17E 39.29180624 -76.74566795 NAD83 2.03 1.73 1.88 1.16 128.728 NAVD88 RiparianRHS Maryland Baltimore Well 17F Well17F 39.29179725 -76.74567096 NAD83 4.94 4.63 4.79 2.32 128.823 NAVD88 RiparianRHS Maryland Baltimore Well 17G Well17G 39.29173612 -76.74549907 NAD83 5.86 5.55 5.71 3.35 131.002 NAVD88 UpslopeRHS Maryland Baltimore Well 17H Well17H 39.29174407 -76.7454872 NAD83 4.11 3.80 3.96 3.42 131.074 NAVD88 UpslopeRHS Maryland Baltimore Well 19A Well19A 39.29018762 -76.74489005 NAD83 3.05 2.75 2.90 2.54 133.424 NAVD88 UpslopeLHS Maryland Baltimore Well 19B Well19B 39.29018732 -76.74492543 NAD83 5.07 4.76 4.91 2.59 133.368 NAVD88 UpslopeLHS Maryland Baltimore Well 19C Well19C 39.29035107 -76.74479668 NAD83 2.88 2.58 2.73 2.41 132.83 NAVD88 RiparianLHS Maryland Baltimore Well 19D Well19D 39.29035997 -76.74481738 NAD83 5.57 5.27 5.42 2.63 132.672 NAVD88 RiparianLHS Maryland Baltimore Well 19E Well19E 39.29045083 -76.7447045 NAD83 3.73 3.43 3.58 2.75 133.021 NAVD88 RiparianRHS Maryland Baltimore Well 19F Well19F 39.29045629 -76.74472129 NAD83 5.86 5.56 5.71 2.85 132.965 NAVD88 RiparianRHS Maryland Baltimore Well 19G Well19G 39.29069855 -76.74460271 NAD83 7.43 7.12 7.28 6.45 137.284 NAVD88 UpslopeRHS Maryland Baltimore Well 20A Well20A 39.29020494 -76.74285277 NAD83 2.56 2.26 2.41 1.83 135.976 NAVD88 UpslopeLHS Maryland Baltimore Well 20B Well20B 39.2902039 -76.74281987 NAD83 6.21 5.90 6.05 1.76 135.908 NAVD88 UpslopeLHS Maryland Baltimore Well 20C Well20C 39.29028998 -76.74286826 NAD83 2.35 2.04 2.19 1.74 135.708 NAVD88 RiparianLHS Maryland Baltimore Well 20D Well20D 39.29029998 -76.74285033 NAD83 4.90 4.60 4.75 1.45 135.505 NAVD88 RiparianLHS Maryland Baltimore Well 20E Well20E 39.29043073 -76.74286759 NAD83 2.46 2.15 2.31 1.95 135.905 NAVD88 RiparianRHS Maryland Baltimore Well 20F Well20F 39.29044028 -76.7428524 NAD83 5.35 5.04 5.19 1.98 136.001 NAVD88 RiparianRHS Maryland Baltimore Well 20G Well20G 39.29058381 -76.74284721 NAD83 3.15 2.84 3.00 2.96 137.582 NAVD88 UpslopeRHS Maryland Baltimore Well 20H Well20H 39.29057762 -76.74286671 NAD83 5.03 4.72 4.88 3.73 137.481 NAVD88 UpslopeRHS Maryland Baltimore Well
Related Resources
Title | Owners | Sharing Status | My Permission |
---|---|---|---|
Dead Run Data Collection | Claire Welty · John Lagrosa IV | Discoverable & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
National Science Foundation | Collaborative Research: Network Cluster: Urban Critical Zone processes along the Piedmont-Coastal Plain transition | 2012340 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
---|---|---|---|---|
Jon Duncan | Penn State University | PA, US | 8148657554 | |
John J. Lagrosa IV | Center for Urban Environmental Research and Education at the University of Maryland, Baltimore County | Maryland, US | ||
Benjamin Glass-Siegel | UMBC (former employee) | Baltimore, MD |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment