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Computer Science - Theoretical Computer Science | Thermo-Hydro-Mechanical-Chemical Processes in Porous Media - Benchmarks and Examples

Thermo-Hydro-Mechanical-Chemical Processes in Porous Media

Benchmarks and Examples

Kolditz, O., Görke, U.-J., Shao, H., Wang, W. (Eds.)

2012, XIII, 391p. 278 illus., 168 illus. in color.

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  • A unique reference book for benchmarks and examples in applied environmental sciences (e.g. geotechnics, hydrology, pedology, hydrogeology)
  • Theory and applications together at the same level
  • A step-by-step tutorial for learning environmental modelling, beginning with simple examples, subsequent increasing complexity
  • Related to open source software (OpenGeoSys initiative)
The book comprises an assembly of benchmarks and examples for porous media mechanics collected over the last twenty years. Analysis of thermo-hydro-mechanical-chemical (THMC) processes is essential to many applications in environmental engineering, such as geological waste deposition, geothermal energy utilisation, carbon capture and storage, water resources management, hydrology, even climate chance. In order to assess the feasibility as well as the safety of geotechnical applications, process-based modelling is the only tool to put numbers, i.e. to quantify future scenarios. This charges a huge responsibility concerning the reliability of computational tools. Benchmarking is an appropriate methodology to verify the quality of modelling tools based on best practices. Moreover, benchmarking and code comparison foster community efforts. The benchmark book is part of the OpenGeoSys initiative - an open source project to share knowledge and experience in environmental analysis and scientific computation.

Content Level » Research

Keywords » benchmarking - computational Geosciences - computational Hydrology - open Source - software engineering

Related subjects » Civil Engineering - Computational Science & Engineering - Environmental Science & Engineering - Theoretical, Mathematical & Computational Physics - Theoretical Computer Science

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