Surface-water quality and flow Modeling Interest Group

Editor's Corner - September, 2002

The September, 2002 set of SMIG feature articles includes nine papers describing applications of mechanistic and neural network models to problems of flooding, water allocations, and water quality; discussions on modeling time scales and the use of velocity data to calibrate hydraulic models; the effects of ground-water withdrawals on streams; and the effect of clearcutting on stream temperature.

• First is a paper describing near-real-time flood modeling and mapping by Joseph Jones and Janice Fulford. Flood modeling and flood forecasting have generated great interest in the last several years, and the tools and models to do this sort of work are getting better all the time.
   
• Shane Barks and Jaysson Funkhouser submitted a paper describing their work to simulate the effects of a change in land cover on simulated velocity distributions near a bridge in southeastern Arkansas. The paper includes links to animations that illustrate the model results.
   
• The use of velocity data to help calibrate hydraulic models is discussed in a paper by Chad Wagner and Dave Mueller. Acoustic velocity data are compared to simulated velocities from a two-dimensional model of a couple reaches in the Ohio River near Louisville, Kentucky.
   
• Nancy Monsen and coauthors submitted a paper which discusses the relative advantages and disadvantages of using flushing time, residence time, and age as transport time scales in modeling studies. Examples from actual modeling studies are used to illustrate how these time scales differ.
   
• A report describing the use of the SIAM model to evaluate water allocation scenarios for the lower Klamath River in Oregon and California was submitted by Sharon Campbell, Marshall Flug, and Blair Hanna.
   
• Paul Conrads sent in a paper that describes the use of neural network modeling techniques to estimate loads of oxygen consuming substances from tidal marshes in the Cooper River system near Charleston, South Carolina.
   
• Stewart Rounds submitted a paper discussing the construction of a neural network model to simulate dissolved oxygen concentrations in the Tualatin River, Oregon, from a small set of inputs such as streamflow, air temperature, and solar radiation.
   
• A model application simulating the effects of ground-water withdrawals on streamflow was sent in by Phil Zarriello and others.
   
• Finally, John Bartholow describes the effects of clearcutting on stream temperature by examining all of the processes that contribute to that stream's temperature.
   

Thanks to all of the authors for submiting these feature articles!

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