| The effect of modeling choices on updating intensity-duration-frequency curves and stormwater infrastructure designs for climate change
Cook, L. M., McGinnis, S., & Samaras, C. (2020). The effect of modeling choices on updating intensity-duration-frequency curves and stormwater infrastructure designs for climate change. Climatic Change. https://doi.org/10.1007/s10584-019-02649-6 |
| Urine source separation for global nutrient management
Larsen, T. A. (2020). Urine source separation for global nutrient management. In D. J. O’Bannon (Ed.), Women in engineering and science. Women in water quality. Investigations by prominent female engineers (pp. 99-111). https://doi.org/10.1007/978-3-030-17819-2_6 |
| How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan
Blumensaat, F., Leitão, J. P., Ort, C., Rieckermann, J., Scheidegger, A., Vanrolleghem, P. A., & Villez, K. (2019). How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan. Environmental Science and Technology, 53(15), 8488-8498. https://doi.org/10.1021/acs.est.8b06481 |
| Niedrigenergiefunk im Untergrund. Möglichkeiten und Grenzen einer neuen Daten-Fernübertragung in der Siedlungsentwässerung
Blumensaat, F., Dicht, S., & Ebi, C. (2019). Niedrigenergiefunk im Untergrund. Möglichkeiten und Grenzen einer neuen Daten-Fernübertragung in der Siedlungsentwässerung. Aqua & Gas, 99(3), 52-60. |
| Niedrigenergiefunk in der Siedlungsentwässerung. Neuartige Übertragungstechnologien für eine effiziente Prozessüberwachung im Untergrund–Erfahrungen aus dem Urbanhydrologischen Feldlabor der Eawag
Blumensaat, F., Dicht, S., Ebi, C., & Maurer, M. (2019). Niedrigenergiefunk in der Siedlungsentwässerung. Neuartige Übertragungstechnologien für eine effiziente Prozessüberwachung im Untergrund–Erfahrungen aus dem Urbanhydrologischen Feldlabor der Eawag. GWF Wasser-Abwasser, 160(3), 44-47. |
| Automated localization of urban drainage infrastructure from public-access street-level images
Boller, D., Moy de Vitry, M., Wegner, J. D., & Leitão, J. P. (2019). Automated localization of urban drainage infrastructure from public-access street-level images. Urban Water Journal, 16(7), 480-493. https://doi.org/10.1080/1573062X.2019.1687743 |
| Using rainfall measures to evaluate hydrologic performance of green infrastructure systems under climate change
Cook, L. M., VanBriesen, J. M., & Samaras, C. (2019). Using rainfall measures to evaluate hydrologic performance of green infrastructure systems under climate change. Sustainable and Resilient Infrastructure, 1-25. https://doi.org/10.1080/23789689.2019.1681819 |
| Modelling to support the planning of sustainable urban water systems
Deletic, A., Zhang, K., Jamali, B., Charette-Castonguay, A., Kuller, M., Prodanovic, V., & Bach, P. (2019). Modelling to support the planning of sustainable urban water systems. In G. Mannina (Ed.), Green energy and technology. New trends in urban drainage modelling. UDM 2018 (pp. 10-19). https://doi.org/10.1007/978-3-319-99867-1_2 |
| Vorhersage der Mecoprop-Dynamik im urbanen Regenwasserabfluss mit einem gekoppelten prozess-basierten Schmutzfrachtmodel
Devasia-Metzger, J. R., Rieckermann, J., Ort, C., & Burkhardt, M. (2019). Vorhersage der Mecoprop-Dynamik im urbanen Regenwasserabfluss mit einem gekoppelten prozess-basierten Schmutzfrachtmodel. In M. Burkhardt & C. Graf (Eds.), Regenwasser weiterdenken - Bemessen trifft Gestalten. Tagungsband - Aqua Urbanica 2019 (pp. 46-53). Rapperswil: HSR Hochschule für Technik Rapperswil. |
| Impact of different sources of precipitation data on urban rainfall-runoff predictions: a comparison of rain gauges, commercial microwave links and radar
Disch, A., Scheidegger, A., Wani, O., & Rieckermann, J. (2019). Impact of different sources of precipitation data on urban rainfall-runoff predictions: a comparison of rain gauges, commercial microwave links and radar. In N. Peleg & P. Molnar (Eds.), Rainfall monitoring, modelling and forecasting in urban environments. Conference Proceedings UrbanRain18 (pp. 27-32). Zurich: ETH Zurich. |
| Synchronous LoRa mesh network to monitor processes in underground infrastructure
Ebi, C., Schaltegger, F., Rust, A., & Blumensaat, F. (2019). Synchronous LoRa mesh network to monitor processes in underground infrastructure. IEEE Access, 7, 57663-57677. https://doi.org/10.1109/ACCESS.2019.2913985 |
| Using a simple post-processor to predict residual uncertainty for multiple hydrological model outputs
Ehlers, L. B., Wani, O., Koch, J., Sonnenborg, T. O., & Refsgaard, J. C. (2019). Using a simple post-processor to predict residual uncertainty for multiple hydrological model outputs. Advances in Water Resources, 129, 16-30. https://doi.org/10.1016/j.advwatres.2019.05.003 |
| Systematic evaluation of biomarker stability in pilot scale sewer pipes
Gao, J., Li, J., Jiang, G., Shypanski, A. H., Nieradzik, L. M., Yuan, Z., … Thai, P. K. (2019). Systematic evaluation of biomarker stability in pilot scale sewer pipes. Water Research, 151, 447-455. https://doi.org/10.1016/j.watres.2018.12.032 |
| Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring
González‐Mariño, I., Baz‐Lomba, J. A., Alygizakis, N. A., Andrés‐Costa, M. J., Bade, R., Barron, L. P., … Ort, C. (2019). Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring. Addiction, (12 pp.). https://doi.org/10.1111/add.14767 |
| The toilet revolution: improved water pollution control and reuse of wastewater in urban slums and in modern cities
Gründl, H., & Larsen, T. A. (2019). The toilet revolution: improved water pollution control and reuse of wastewater in urban slums and in modern cities. World Architecture, (06), 36-39. |
| Integrating uncertainty of preferences and predictions in decision models: an application to regional wastewater planning
Haag, F., Reichert, P., Maurer, M., & Lienert, J. (2019). Integrating uncertainty of preferences and predictions in decision models: an application to regional wastewater planning. Journal of Environmental Management, 252, 109652 (16 pp.). https://doi.org/10.1016/j.jenvman.2019.109652 |
| The waterhub modules: material and energy flow analysis of domestic hot water systems
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2019). The waterhub modules: material and energy flow analysis of domestic hot water systems. In A. Haumer (Ed.), Linköping Electronic Conference Proceedings: Vol. 157. Proceedings of the 13th international modelica conference (pp. 639-646). https://doi.org/10.3384/ecp19157639 |
| Recycling nutrients contained in human excreta to agriculture: pathways, processes, and products
Harder, R., Wielemaker, R., Larsen, T. A., Zeeman, G., & Öberg, G. (2019). Recycling nutrients contained in human excreta to agriculture: pathways, processes, and products. Critical Reviews in Environmental Science and Technology, 49(8), 696-743. https://doi.org/10.1080/10643389.2018.1558889 |
| Datenbasierte Planungs-, Betriebs- und Vollzugskonzepte zur nachhaltigen Regenwasserbehandlung
Hopper, H., Dittmer, U., Gruber, G., & Rieckermann, J. (2019). Datenbasierte Planungs-, Betriebs- und Vollzugskonzepte zur nachhaltigen Regenwasserbehandlung. In J. Pinnekamp (Ed.), Gewässerschutz - Wasser - Abwasser: Vol. 250. 52. Essener Tagung für Wasserwirtschaft “Wasser und Gesundheit“ 20. bis 22. März 2019 im Eurogress Aachen (p. 26 (16 pp.). Aachen: Gesellschaft zur Förderung des Instituts für Siedlungswasserwirtschaft an der RWTH Aachen. |
| A cellular automata fast flood evaluation (CA‐ffé) model
Jamali, B., Bach, P. M., Cunningham, L., & Deletic, A. (2019). A cellular automata fast flood evaluation (CA‐ffé) model. Water Resources Research, 55(6), 4936-4953. https://doi.org/10.1029/2018WR023679 |
