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  • (-) Organizational Unit = Urban Water Management SWW
  • (-) Publication Year = 2006 - 2018
  • (-) Journal = Urban Water Journal
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Analysing the importance of variables for sewer failure prediction
Amado, C., Carvalho, G., Brito, R. S., Coelho, S. T., & Leitão, J. P. (2018). Analysing the importance of variables for sewer failure prediction. Urban Water Journal, 15(4), 338-345. https://doi.org/10.1080/1573062X.2018.1459748
Tracking and simulation of gross solids transport in sewers
Penn, R., Schuetze, M., Jens, A., & Friedler, E. (2018). Tracking and simulation of gross solids transport in sewers. Urban Water Journal, 15(6), 584-591. https://doi.org/10.1080/1573062X.2018.1529190
Stochastic data mining tools for pipe blockage failure prediction
Santos, P., Amado, C., Coelho, S. T., & Leitão, J. P. (2017). Stochastic data mining tools for pipe blockage failure prediction. Urban Water Journal, 14(4), 343-353. https://doi.org/10.1080/1573062X.2016.1148178
Moving urban water infrastructure asset management from science into practice
Leitão, J. P., Coelho, S. T., Alegre, H., Cardoso, M. A., Silva, M. S., Ramalho, P., … Carriço, N. (2016). Moving urban water infrastructure asset management from science into practice. Urban Water Journal, 13(2), 133-141. https://doi.org/10.1080/1573062X.2014.939092
Quantifying costs and lengths of urban drainage systems with a simple static sewer infrastructure model
Maurer, M., Scheidegger, A., & Herlyn, A. (2013). Quantifying costs and lengths of urban drainage systems with a simple static sewer infrastructure model. Urban Water Journal, 10(4), 268-280. https://doi.org/10.1080/1573062X.2012.731072