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HOW PROBABILITY SURVEY DATA CAN HELP INTEGRATE 305(B) AND 303(D) MONITORING AND ASSESSMENT OF STATE WATERS

机译:概率调查数据如何帮助整合305(B)和303(D)州立水域的监测和评估

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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.
机译:美国《清洁水法》(CWA)第305(b)条要求各州评估各州的总体水质,而第303(d)条则要求各州制定未达到该州特定水质的清单水质标准(又名受损水域)。需要一个集成,高效且具有成本效益的流程来获取和评估满足这两项任务所需的数据。 2002年环境监测与评估计划(EMAP)专题讨论会的一部分演讲提供了有关各州和其他实体如何使用概率数据,工具和方法来协助其对状况和受损水域清单进行总体评估的信息。讨论确定了一些技术和体制问题,这些问题阻碍了在分析中使用EMAP方法和数据来识别受损水域以及克服这些问题的发展需要。

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