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Efficient modelling necessitates standards for model documentation and exchange.

K V Gernaey1, C Rosen, D J Batstone

  • 1CAPEC, Department of Chemical Engineering, Technical University of Denmark, Building 229, DK-2800 Kgs. Lyngby, Denmark. kvg@kt.dtu.dk

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 15, 2006
PubMed
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Documenting complex environmental simulation models like ASM2d and ADM1 is challenging across platforms. Adopting standard languages, such as extensible markup language (XML), can improve model documentation and exchange, reducing implementation errors and saving time.

Area of Science:

  • Environmental science
  • Computational modeling

Background:

  • Complex simulation models are increasingly used in environmental studies.
  • Effective documentation and model exchange are crucial for independent implementation.
  • Platform diversity complicates model documentation and cross-platform usability.

Purpose of the Study:

  • To discuss challenges in simulation model documentation and exchange.
  • To highlight issues encountered with ASM2d and ADM1 models.
  • To propose solutions for standardized model documentation and exchange.

Main Methods:

  • Analysis of cross-platform implementation experiences with ASM2d and ADM1.
  • Identification of common documentation and coding errors.
  • Exploration of extensible markup language (XML) for standardized documentation.

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Main Results:

  • Error-free model documentation is difficult to achieve, leading to significant implementation challenges.
  • A comprehensive list of errors and pitfalls for ASM2d and ADM1 is provided.
  • Extensible markup language (XML) shows potential for platform-independent model documentation.

Conclusions:

  • Standardized approaches to model documentation and exchange are necessary for environmental models.
  • Implementing XML or similar formats can reduce time and effort in model implementation.
  • Adoption of standardized languages will improve the reliability and reusability of environmental models.