Event Title

What it Takes to get the Model Running: From a Hydraulic and Habitat Geoprocessor's Standpoint

Presenter Information

Mark Winkelaar

Location

Eccles Conference Center

Event Website

http://water.usu.edu/

Start Date

3-28-2006 11:40 AM

End Date

3-28-2006 12:00 PM

Description

The analysis of riverine system using 2D hydraulic models and the subsequent simulation of fish habitat has recently increased in sophistication, as development of the methodology continues. With this sophistication comes an associated increase in the quantity and quality of empirical data and preprocessed inputs. With field data collection and preprocessing spatial in nature, Geographic Information Systems (GIS) have been used in the development of the methodology, to streamline preprocessing, and quality control. The author discusses the day-to-day issues of providing data to the modeler, ways to avoid common pitfalls, and problems associated with the effort. When the model results are suspect, it is commonly the spatial and symbolic visualization using a GIS that provides the first tool in discovering errors. Further, the use of enhanced GIS methods allows for further development and insight into the 2D modeling process and results, often contributing to a reduction in errors.

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Mar 28th, 11:40 AM Mar 28th, 12:00 PM

What it Takes to get the Model Running: From a Hydraulic and Habitat Geoprocessor's Standpoint

Eccles Conference Center

The analysis of riverine system using 2D hydraulic models and the subsequent simulation of fish habitat has recently increased in sophistication, as development of the methodology continues. With this sophistication comes an associated increase in the quantity and quality of empirical data and preprocessed inputs. With field data collection and preprocessing spatial in nature, Geographic Information Systems (GIS) have been used in the development of the methodology, to streamline preprocessing, and quality control. The author discusses the day-to-day issues of providing data to the modeler, ways to avoid common pitfalls, and problems associated with the effort. When the model results are suspect, it is commonly the spatial and symbolic visualization using a GIS that provides the first tool in discovering errors. Further, the use of enhanced GIS methods allows for further development and insight into the 2D modeling process and results, often contributing to a reduction in errors.

https://digitalcommons.usu.edu/runoff/2006/AllAbstracts/26