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  • (-) Eawag Departments = Urban Water Management SWW
  • (-) Publication Year = 2018
  • (-) Keywords ≠ Digital Elevation Model (DEM)
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  • (-) Eawag Authors = Bach, Peter M.
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Modelling characteristics of the urban form to support water systems planning
Bach, P. M., Deletic, A., Urich, C., & McCarthy, D. T. (2018). Modelling characteristics of the urban form to support water systems planning. Environmental Modelling and Software, 104, 249-269. https://doi.org/10.1016/j.envsoft.2018.02.012
Integrated modelling of stormwater treatment systems uptake
Castonguay, A. C., Iftekhar, M. S., Urich, C., Bach, P. M., & Deletic, A. (2018). Integrated modelling of stormwater treatment systems uptake. Water Research, 142, 301-312. https://doi.org/10.1016/j.watres.2018.05.037
A rapid urban flood inundation and damage assessment model
Jamali, B., Löwe, R., Bach, P. M., Urich, C., Arnbjerg-Nielsen, K., & Deletic, A. (2018). A rapid urban flood inundation and damage assessment model. Journal of Hydrology, 564, 1085-1098. https://doi.org/10.1016/j.jhydrol.2018.07.064
Building effective planning support systems for green urban water infrastructure – practitioners' perceptions
Kuller, M., Farrelly, M., Deletic, A., & Bach, P. M. (2018). Building effective planning support systems for green urban water infrastructure – practitioners' perceptions. Environmental Science and Policy, 89, 153-162. https://doi.org/10.1016/j.envsci.2018.06.011
What drives the location choice for water sensitive infrastructure in Melbourne, Australia?
Kuller, M., Bach, P. M., Ramirez-Lovering, D., & Deletic, A. (2018). What drives the location choice for water sensitive infrastructure in Melbourne, Australia? Landscape and Urban Planning, 175, 92-101. https://doi.org/10.1016/j.landurbplan.2018.03.018
Conceptual urban water balance model for water policy testing: an approach for large scale investigation
Zeisl, P., Mair, M., Kastlunger, U., Bach, P. M., Rauch, W., Sitzenfrei, R., & Kleidorfer, M. (2018). Conceptual urban water balance model for water policy testing: an approach for large scale investigation. Sustainability, 10(3), 716 (24 pp.). https://doi.org/10.3390/su10030716