Real-Time Water-Quality Methods
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Real-time water-quality monitoring. In-stream water-quality monitors were
installed at U.S. Geological Survey streamflow-gaging stations. Data collected by
these monitors include: specific conductance, pH, water temperature, turbidity,
dissolved oxygen, and total chlorophyll. These devices are connected to
data-collection platforms at each stream-gaging station, and data are transmitted by
satellite to a downlink site and to the computer at the U.S. Geological Survey office.
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Sample collection. Water samples are collected periodically at selected U.S.
Geological Survey streamflow-gaging stations. These samples are collected throughout
the range of expected hydrologic conditions and analyzed for selected constituents and
properties. For example, consituent concentrations typically are determined for
alkalinity, dissolved solids, total suspended solids, chloride, sulfate, atrazine (a
pesticide), and fecal coliform bacteria.
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Regression analysis. The concentrations of constituents in surface water
often are strongly related to physical properties of water and factors such as
hydrologic conditions, season, and location. It is possible to express one constituent
concentration in terms of another constituent or physical property using simple
regression equations. To determine which independent variables to use in each
regression equation, a stepwise procedure was used. The possible independent variables
include each of the properties measured by the water-quality monitor (specific
conductance, pH, water temperature, dissolved oxygen, and turbidity), streamflow, and
time.
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Load Conversion. Once the constituent of concern is estimated with the
regression equation, the concentration is multiplied by streamflow and an appropriate
conversion factor to estimate the constituent load. Loads can be estimated every 15
minutes. Loads are useful because they give an indication of the total amount of a
constituent being transported by a stream during a given period of time. These
estimated loads may also be useful in the development of total maximum daily loads
(TMDLs)
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