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Related Experiment Videos

A georeferenced river quality model.

S Marsili-Libelli1, E Caporali, S Arrighi

  • 1Department of Systems and Computers, University of Florence, via S. Marta, 3, 50139 Florence, Italy. marsili@ingfi1.ing.unifi.it

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|June 2, 2001
PubMed
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This study introduces a method to link Geographical Information System (GIS) software with scientific programming tools for advanced water quality modeling. The integration allows model outputs to be visualized geographically, improving data interpretation.

Area of Science:

  • Environmental Science
  • Hydrology
  • Geographic Information Systems (GIS)

Background:

  • Sophisticated water quality models often lack user-friendly interfaces and georeferencing capabilities.
  • Integrating specialized software environments is crucial for enhancing the practical application of complex models.

Purpose of the Study:

  • To propose an interfacing procedure between ArcView GIS and Matlab for water quality modeling.
  • To enable the operation of a Matlab-based water quality model within a GIS environment.

Main Methods:

  • Utilized Dynamic Data Exchange (DDE) for inter-program communication between ArcView and Matlab.
  • Developed specialized GIS objects within ArcView to manage and display model outputs.
  • Integrated Matlab's numerical analysis capabilities with ArcView's spatial data handling.

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Main Results:

  • Successfully demonstrated an interfacing procedure between GIS and scientific programming environments.
  • Achieved the georeferencing of water quality data generated by the Matlab model onto a geographical map.
  • Visualized model-derived quality data alongside other relevant spatial features within the GIS.

Conclusions:

  • The proposed DDE-based interfacing procedure effectively bridges the gap between GIS and scientific modeling tools.
  • This integration enhances the usability and spatial interpretability of water quality model outputs.
  • The method provides a framework for visualizing complex environmental model results in a geographically relevant context.