Literature DB >> 17126985

Impervious surface as an indicator of pH and specific conductance in the urbanizing coastal zone of New Jersey, USA.

Tenley M Conway1.   

Abstract

Impervious surface is often used as an indicator of non-point source pollution in urban areas due to the strong relationship between percent impervious surface cover and water-quality impacts. In many cases, a threshold effect exists where water quality rapidly degrades above a given percent cover, but the exact threshold level appears to vary across regions. This study explores the relationship between pH, specific conductance, and percent impervious surface cover in the urbanizing coastal zone of New Jersey (USA) to determine the nature of the relationship in the region. The results of the analysis suggest the system is very sensitive to impervious surface, with a threshold potentially existing between 2.4% and 5.1% impervious surface cover. An examination of future conditions suggests that by 2020 water quality in more than 50% of the catchments in the study area will be negatively impacted by non-point source pollution associated with impervious surface.

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Year:  2006        PMID: 17126985     DOI: 10.1016/j.jenvman.2006.09.023

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  6 in total

1.  Spatial variations in the relationships between land use and water quality across an urbanization gradient in the watersheds of Northern Georgia, USA.

Authors:  Jun Tu
Journal:  Environ Manage       Date:  2011-08-20       Impact factor: 3.266

2.  Urban stream syndrome in a small, lightly developed watershed: a statistical analysis of water chemistry parameters, land use patterns, and natural sources.

Authors:  Judith A Halstead; Sabrina Kliman; Catherine White Berheide; Alexander Chaucer; Alicea Cock-Esteb
Journal:  Environ Monit Assess       Date:  2014-02-20       Impact factor: 2.513

3.  Increasing chloride in rivers of the conterminous U.S. and linkages to potential corrosivity and lead action level exceedances in drinking water.

Authors:  E G Stets; C J Lee; D A Lytle; M R Schock
Journal:  Sci Total Environ       Date:  2017-08-07       Impact factor: 7.963

4.  Machine learning approach towards explaining water quality dynamics in an urbanised river.

Authors:  Benjamin Schäfer; Christian Beck; Hefin Rhys; Helena Soteriou; Paul Jennings; Allen Beechey; Catherine M Heppell
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

5.  Human-accelerated weathering increases salinization, major ions, and alkalinization in fresh water across land use.

Authors:  Sujay S Kaushal; Shuiwang Duan; Thomas R Doody; Shahan Haq; Rose M Smith; Tamara A Newcomer Johnson; Katie Delaney Newcomb; Julia Gorman; Noah Bowman; Paul M Mayer; Kelsey L Wood; Kenneth T Belt; William P Stack
Journal:  Appl Geochem       Date:  2017-08-01       Impact factor: 3.524

6.  The role of continental shelf bathymetry in shaping marine range shifts in the face of climate change.

Authors:  Zoë J Kitchel; Hailey M Conrad; Rebecca L Selden; Malin L Pinsky
Journal:  Glob Chang Biol       Date:  2022-06-13       Impact factor: 13.211

  6 in total

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