Total suspended solids (TSS) and Volatile Suspended Solids (VSS) from White Clay Creek near the Stroud Water Research Center, Avondale, PA, USA. The purpose is to quantify export of inorganic and organic particulate matter from the 725-hectare watershed. Samples consist of those taken at monthly intervals, normally the first Wednesday of each month regardless of weather or flow conditions and those taken after precipitation events. The monthly samples are manual grab samples collected in 5-L polyethylene “space saver” bottles from a few centimeters below the surface and without disturbance to the stream bed. The event samples were collected in response to precipitation of 20 mm or more using an ISCO automated sampler which collected 1-L samples s in polyethylene bottles at hourly intervals through an intake approximately 20 cm above the bed. Each of approximately four events per year are represented by approximately 10 samples selected from the hourly series to characterize the rise, peak, and falling limb of the hydrograph. Additional events are represented by the three samples nearest peak flow.

Variables: Solids_ total suspended, carbon to nitrogen molar ratio, carbon_ particulate organic, nitrogen_ particulate organic, nitrogen-15 stable isotope ratio delta

Date Range: (1993-2012)

Dataset Creators/Authors: Aufdenkampe, A.K.; Newbold, J.D.; Anderson, B. A.; Richardson, D.; Damiano, S.G.

Contact: Sara G. Damiano, Stroud Water Research Center, 970 Spencer Road, Avondale, PA 19311, sdamiano@stroudcenter.org

Field Area: Boulton Run | Christina River Basin | Forest Endmember: Spring Brook | White Clay Creek @ SWRC | Construction Endmember: White Clay Creek below landfill | Lower White Clay Creek | Agricultural Endmember: South Branch Doe Run

Copied from:
Aufdenkampe, A.K.; Newbold, J.D.; Anderson, B. A.; Richardson, D.; Damiano, S.G. (2012). "CZO Dataset: Christina River Basin - Stream Suspended Sediment (1993-2012)." Retrieved 21 Jan 2018, from http://criticalzone.org/christina/data/dataset/2474/.

For guidance on how to parse these CZODisplayFiles, see example Jupyter Notebooks in Python at https://github.com/aufdenkampe/EnviroDataScripts/tree/master/CZODisplayParsePlot.