Hydrograph separation analyses to determine runoff sources in a large, urban watershed

dc.contributor.advisorPrestegaard, Karen Len_US
dc.contributor.authorOcchi, Marcieen_US
dc.contributor.departmentGeologyen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2011-07-06T05:37:41Z
dc.date.available2011-07-06T05:37:41Z
dc.date.issued2010en_US
dc.description.abstractHydrograph separation techniques were used to determine contributions of old and new water during storm events at four sites within the urban Anacostia River watershed. Multiple storm hydrographs were successfully separated with electrical conductivity as a tracer. Total runoff correlated to rainfall, but most runoff ratios were significantly less than the percentage of impervious surfaces. Old water was a significant component of runoff at each site. Peak contributions of old water occurred earlier new water peaks, which suggests rapid transmission of groundwater to streams. New water runoff was the dominant contribution for storm events greater than 2-3 cm. Watershed topography influenced patterns of urbanization and runoff pathways. Riparian buffers along Piedmont streams appeared to be sites of infiltration of overland flow. These results indicate that electrical conductivity is an effective tracer for the evaluation of streamflow sources within large urban watersheds.en_US
dc.identifier.urihttp://hdl.handle.net/1903/11457
dc.subject.pqcontrolledGeologyen_US
dc.subject.pqcontrolledHydrologic Sciencesen_US
dc.subject.pquncontrolledanacostia watersheden_US
dc.subject.pquncontrolledelectrical conductivityen_US
dc.subject.pquncontrolledevent and pre-event wateren_US
dc.subject.pquncontrolledhydrograph separationen_US
dc.subject.pquncontrolledimpervious surfacesen_US
dc.subject.pquncontrolledurbanizationen_US
dc.titleHydrograph separation analyses to determine runoff sources in a large, urban watersheden_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Occhi_umd_0117N_11924.pdf
Size:
4.53 MB
Format:
Adobe Portable Document Format