Document Detail


Generating high quality impervious cover data.
MedLine Citation:
PMID:  11797825     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Nonpoint source pollution (NPS) from urban or suburban areas is rapidly increasing as the population increases in the United States. Research in recent years has consistently shown a strong relationship between the percentage of impervious cover in a drainage basin and the health of the receiving stream. In this paper, we quantify the amount of impervious cover within 56 14-digit hydrologic unit codes (HUCs) in Frederick County, Maryland, USA. This test data set will help in the development of region-wide impervious cover estimation methodologies. The software, sampling and analysis systems were developed to yield accurate and reproducible results. Digital orthophoto quarter quadrangles (DOQQ) from the U.S. Geological Survey were chosen as the basic media for the analysis. Ground features were identified and categorized by human analysts with the help of Geographic Information System (GIS) software and a prototype "cover tool" extension.
Authors:
S L Bird; L R Exum; S W Alberty
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Quality assurance (San Diego, Calif.)     Volume:  8     ISSN:  1052-9411     ISO Abbreviation:  Qual Assur     Publication Date:    2000 Apr-Jun
Date Detail:
Created Date:  2002-01-18     Completed Date:  2002-06-07     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  9214530     Medline TA:  Qual Assur     Country:  United States    
Other Details:
Languages:  eng     Pagination:  91-103     Citation Subset:  IM    
Affiliation:
US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Ecosystems Research Division, Athens, Georgia 30605-2700, USA. bird.sandra@epa.gov
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MeSH Terms
Descriptor/Qualifier:
Data Collection / methods
Environmental Monitoring / methods*
Humans
Maryland
Quality Control
Sanitary Engineering*
Software
Water Pollution / analysis,  prevention & control*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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