A review of the USGS National Water Quality Assessment Pilot by Unknow

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Search-oriented sampling will involve sampling for constituents within particular settings in which they are most expected. The About this PDF file: This new digital representation of the original work has been recomposed from XML files created from the original paper book, not from the original typesetting files. Page breaks are true to the original; line lengths, word breaks, heading styles, and other typesetting-specific formatting, however, cannot be retained, and some typographic errors may have been accidentally inserted.

Finally, study units were specified for Hawaii and Alaska. The 60 study units encompass about 40 percent of the land area of the conterminous United States and incorporate about 60 to 70 percent of the nation's water use (fresh surface water withdrawals excluding thermal and hydropower uses). It should be noted that in selecting the study units, emphasis was placed on "key river basins" and ground water units that corresponded somewhat to the USGS Regional Aquifer Systems Analysis (RASA) program.

In other words, variable behavior and the relationships between variables are assumed to be dominated by random uncertainty. In a process-oriented approach, sampling and data analysis are largely driven by deterministic models of the relevant physical processes. It must be stressed that these descriptions represent the extremes of a spectrum of approaches. In practice, it is rare to find an approach that is purely statistical or purely process oriented. Statistical approaches are most effective when they exploit an understanding of relevant physical processes, and statistical methods are essential tools for process modeling in the face of data uncertainty and model simplifications.

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