Literature DB >> 15861986

How probability survey data can help integrate 305(b) and 303(d) monitoring and assessment of state waters.

Barbara S Brown1, Naomi E Detenbeck, Richard Eskin.   

Abstract

Section 305(b) of the United States' Clean Water Act (CWA) requires states to assess the overall quality of waters in the states, while Section 303(d) requires states to develop a list of the specific waters in their state not attaining water quality standards (a.k.a impaired waters). An integrated, efficient and cost-effective process is needed to acquire and assess the data needed to meet both these mandates. A subset of presentations at the 2002 Environmental Monitoring and Assessment Program (EMAP) Symposium provided information on how probability data, tools and methods could be used by states and other entities to aid in development of their overall assessment of condition and list of impaired waters. Discussion identified some of the technical and institutional problems that hinder the use of EMAP methods and data in the analysis to identify impaired waters as well as development needs to overcome these problems.

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Year:  2005        PMID: 15861986     DOI: 10.1007/s10661-005-6854-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Quantifying sample biases of inland lake sampling programs in relation to lake surface area and land use/cover.

Authors:  Tyler Wagner; Patricia A Soranno; Kendra Spence Cheruvelil; William H Renwick; Katherine E Webster; Peter Vaux; Robbyn J F Abbitt
Journal:  Environ Monit Assess       Date:  2007-08-28       Impact factor: 2.513

2.  Development and validation of a macroinvertebrate index of biotic integrity (IBI) for assessing urban impacts to Northern California freshwater wetlands.

Authors:  Kevin B Lunde; Vincent H Resh
Journal:  Environ Monit Assess       Date:  2011-08-09       Impact factor: 2.513

  2 in total

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