Predicted demographic, climatic and socio-economic changes will require adaptations of existing water supply and wastewater disposal systems. Especially in rural areas, these new challenges will affect the functionality of the present systems. This paper presents a joint interdisciplinary research project with the objective of developing an innovative software-based optimization and decision support system for the implementation of long-term transformations of existing infrastructures of water supply, wastewater and energy. The concept of the decision support and optimization tool is described and visualization methods for the presentation of results are illustrated. The model is tested in a rural case study region in the Southwest of Germany. A transformation strategy for a decentralized wastewater treatment concept and its visualization are presented for a model village.
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Research Article|
July 22 2015
Cross-sectoral optimization and visualization of transformation processes in urban water infrastructures in rural areas
S. Baron;
1Institute of Urban Water Management, University of Kaiserslautern, Paul-Ehrlich-Str. 14, Kaiserslautern 67663, Germany
E-mail: [email protected]
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I. Kaufmann Alves;
I. Kaufmann Alves
2Water and Urban Water Management, School of Technology, University of Applied Science Mainz, Holzstraße 36, Mainz 55116, Germany
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T. G. Schmitt;
T. G. Schmitt
1Institute of Urban Water Management, University of Kaiserslautern, Paul-Ehrlich-Str. 14, Kaiserslautern 67663, Germany
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S. Schöffel;
S. Schöffel
3Computer Graphics and HCI Group, University of Kaiserslautern, Paul-Ehrlich-Str. 36, Kaiserslautern 67663, Germany
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J. Schwank
J. Schwank
3Computer Graphics and HCI Group, University of Kaiserslautern, Paul-Ehrlich-Str. 36, Kaiserslautern 67663, Germany
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Water Sci Technol (2015) 72 (10): 1730–1738.
Article history
Received:
February 17 2015
Accepted:
July 07 2015
Citation
S. Baron, I. Kaufmann Alves, T. G. Schmitt, S. Schöffel, J. Schwank; Cross-sectoral optimization and visualization of transformation processes in urban water infrastructures in rural areas. Water Sci Technol 11 November 2015; 72 (10): 1730–1738. doi: https://doi.org/10.2166/wst.2015.378
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