1990
DOI: 10.3133/ofr89391
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Water-quality data-collection activities in Colorado and Ohio; Phase III, evaluation of existing data for use in assessing regional water-quality conditions and trends

Abstract: ForewordOne of the challenges faced by the Nation is the development of reliable information that will guide the protection of our water resources. That challenge is being addressed by Federal, State, interstate, and local waterresource agencies and by academic institutions. Many of these agencies are collecting water data for a host of purposes, including compliance with permits and water-supply standards; development of remediation plans for specific contamination problems; operational decisions on industria… Show more

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Cited by 3 publications
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“…This result is more typical of other sites and variables. The over‐predicted peak TSS magnitude may be attributable to (1) highly variable TSS concentrations in space and time particularly during high‐flow period in small watersheds for which the first flush phenomenon can be important (Norris et al ., ) and (2) time scale inconsistency between simulations averaged over 3 h and instantaneous grab sample measurements. Given the greater temporal variability in TSS concentrations, we constructed the empirical cumulative distribution of simulated TSS concentrations with the simulated results from a 9‐h window that included the interval associated with the time stamp of the grab sample and the 3‐h intervals before and after the time stamp (Figure ).…”
Section: Resultsmentioning
confidence: 99%
“…This result is more typical of other sites and variables. The over‐predicted peak TSS magnitude may be attributable to (1) highly variable TSS concentrations in space and time particularly during high‐flow period in small watersheds for which the first flush phenomenon can be important (Norris et al ., ) and (2) time scale inconsistency between simulations averaged over 3 h and instantaneous grab sample measurements. Given the greater temporal variability in TSS concentrations, we constructed the empirical cumulative distribution of simulated TSS concentrations with the simulated results from a 9‐h window that included the interval associated with the time stamp of the grab sample and the 3‐h intervals before and after the time stamp (Figure ).…”
Section: Resultsmentioning
confidence: 99%