| Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling CBS Dotto, G Mannina, M Kleidorfer, L Vezzaro, M Henrichs, ... Water research 46 (8), 2545-2558, 2012 | 226 | 2012 |
| Modelling and monitoring of integrated urban wastewater systems: review on status and perspectives L Benedetti, J Langeveld, A Comeau, L Corominas, G Daigger, C Martin, ... Water Science and Technology 68 (6), 1203-1215, 2013 | 107 | 2013 |
| Risk assessment of contaminants of emerging concern in the context of wastewater reuse for irrigation: An integrated modelling approach RD Compagni, M Gabrielli, F Polesel, A Turolla, S Trapp, L Vezzaro, ... Chemosphere 242, 125185, 2020 | 93 | 2020 |
| Application of global sensitivity analysis and uncertainty quantification in dynamic modelling of micropollutants in stormwater runoff L Vezzaro, PS Mikkelsen Environmental Modelling & Software 27, 40-51, 2012 | 88 | 2012 |
| A generalised dynamic overflow risk assessment (dora) for real time control of urban drainage systems L Vezzaro, M Grum Journal of Hydrology 515, 292-303, 2014 | 74 | 2014 |
| Modeling water quality in watersheds: From here to the next generation B Fu, JS Horsburgh, AJ Jakeman, C Gualtieri, T Arnold, L Marshall, ... Water Resources Research 56 (11), e2020WR027721, 2020 | 66 | 2020 |
| Pollution levels of stormwater discharges and resulting environmental impacts S Brudler, M Rygaard, K Arnbjerg-Nielsen, MZ Hauschild, C Ammitsøe, ... Science of the total environment 663, 754-763, 2019 | 65 | 2019 |
| Water quality-based real time control of integrated urban drainage systems: A preliminary study from copenhagen, denmark L Vezzaro, ML Christensen, C Thirsing, M Grum, PS Mikkelsen Procedia Engineering 70, 1707-1716, 2014 | 64 | 2014 |
| Probabilistic runoff volume forecasting in risk-based optimization for RTC of urban drainage systems R Löwe, L Vezzaro, PS Mikkelsen, M Grum, H Madsen Environmental Modelling & Software 80, 143-158, 2016 | 63 | 2016 |
| Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning K Chen, H Wang, B Valverde-Pérez, S Zhai, L Vezzaro, A Wang Chemosphere 279, 130498, 2021 | 60 | 2021 |
| A model library for dynamic transport and fate of micropollutants in integrated urban wastewater and stormwater systems L Vezzaro, L Benedetti, V Gevaert, W De Keyser, F Verdonck, B De Baets, ... Environmental modelling & software 53, 98-111, 2014 | 60 | 2014 |
| Coordinating rule-based and system-wide model predictive control strategies to reduce storage expansion of combined urban drainage systems: The case study of Lundtofte, Denmark EJ Meneses, M Gaussens, C Jakobsen, PS Mikkelsen, M Grum, ... Water 10 (1), 76, 2018 | 53 | 2018 |
| Quantification of uncertainty in modelled partitioning and removal of heavy metals (Cu, Zn) in a stormwater retention pond and a biofilter L Vezzaro, E Eriksson, A Ledin, PS Mikkelsen Water research 46 (20), 6891-6903, 2012 | 47 | 2012 |
| Modelling the fate of organic micropollutants in stormwater ponds L Vezzaro, E Eriksson, A Ledin, PS Mikkelsen Science of the Total Environment 409 (13), 2597-2606, 2011 | 43 | 2011 |
| Effect of climate change on stormwater runoff characteristics and treatment efficiencies of stormwater retention ponds: a case study from Denmark using TSS and Cu as indicator … AK Sharma, L Vezzaro, H Birch, K Arnbjerg-Nielsen, PS Mikkelsen Springerplus 5, 1-12, 2016 | 42 | 2016 |
| Greenhouse gas emissions from integrated urban drainage systems: where do we stand? G Mannina, D Butler, L Benedetti, A Deletic, H Fowdar, G Fu, M Kleidorfer, ... Journal of Hydrology 559, 307-314, 2018 | 41 | 2018 |
| Dynamic stormwater treatment unit model for micropollutants (STUMP) based on substance inherent properties L Vezzaro, E Eriksson, A Ledin, PS Mikkelsen Water science and technology 62 (3), 622-629, 2010 | 38 | 2010 |
| Integrated modelling of priority pollutants in stormwater systems L Vezzaro, A Ledin, PS Mikkelsen Physics and Chemistry of the Earth, Parts A/B/C 42, 42-51, 2012 | 35 | 2012 |
| Towards model predictive control: online predictions of ammonium and nitrate removal by using a stochastic ASM PA Stentoft, T Munk-Nielsen, L Vezzaro, H Madsen, PS Mikkelsen, ... Water Science and Technology 79 (1), 51-62, 2019 | 30 | 2019 |
| Urban drainage models–simplifying uncertainty analysis for practitioners L Vezzaro, PS Mikkelsen, A Deletic, D McCarthy Water science and technology 68 (10), 2136-2143, 2013 | 30 | 2013 |
