Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Luca Vezzaro"'
Autor:
Elena Torfs, Niels Nicolaï, Saba Daneshgar, John B. Copp, Henri Haimi, David Ikumi, Bruce Johnson, Benedek B. Plosz, Spencer Snowling, Lloyd R. Townley, Borja Valverde-Pérez, Peter A. Vanrolleghem, Luca Vezzaro, Ingmar Nopens
Publikováno v:
Water Science and Technology, Vol 85, Iss 10, Pp 2840-2853 (2022)
Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness the power of digitalisation in the WRRF sector. The lack of consensus and understanding when it comes to the definition, perceived benefits and technological needs of
Externí odkaz:
https://doaj.org/article/f6852e67b9b74e1dbefef89db3810494
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1368-1381 (2021)
In this work, an unsupervised model selection procedure for identifying data-driven forecast models for urban drainage systems is proposed and evaluated. Specifically, we consider the case of predicting inflows to wastewater treatment plants for acti
Externí odkaz:
https://doaj.org/article/35c8a2c4025e4166b900eab326a609ec
Autor:
Luca Vezzaro
Publikováno v:
Dansk Universitetspaedagogisk Tidsskrift, Vol 13, Iss 25, Pp 194-210 (2018)
Environmental models are affected by significant sources of uncertainties com-pared to other engineering fields. However, traditional courses tend to provide a deterministic perspective, where the various sources of uncertainty (e.g. model structure,
Externí odkaz:
https://doaj.org/article/00f8117ed84a41e38421ad525556cb5b
Publikováno v:
Water, Vol 12, Iss 4, p 1034 (2020)
The advanced control of urban drainage systems (UDS) has great potential in reducing pollution to the receiving waters by optimizing the operations of UDS infrastructural elements. Existing controls vary in complexity, including local and global stra
Externí odkaz:
https://doaj.org/article/16faee882777490db65471601a2960c1
Autor:
Elbys Jose Meneses, Marion Gaussens, Carsten Jakobsen, Peter Steen Mikkelsen, Morten Grum, Luca Vezzaro
Publikováno v:
Water, Vol 10, Iss 1, p 76 (2018)
The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional
Externí odkaz:
https://doaj.org/article/b7d37815179c4dc49b0eba621ba24535
Publikováno v:
Jóhannesson, A, Vezzaro, L, Mikkelsen, P S & Löwe, R 2021, ' Approaches for unsupervised identification of data-driven models for flow forecasting in urban drainage systems ', Journal of Hydroinformatics, vol. 23, no. 6, pp. 1368–1381 . https://doi.org/10.2166/hydro.2021.020
Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1368-1381 (2021)
Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1368-1381 (2021)
In this work, an unsupervised model selection procedure for identifying data-driven forecast models for urban drainage systems is proposed and evaluated. Specifically, we consider the case of predicting inflows to wastewater treatment plants for acti
Autor:
Luca Vezzaro
Publikováno v:
Vezzaro, L 2022, ' Extrapolating performance indicators for annual overflow volume reduction of system-wide real time control strategies ', Urban Water Journal, vol. 19, no. 1, pp. 15-21 . https://doi.org/10.1080/1573062X.2021.1948078
Model-based evaluation of real time control and model predictive control strategies is often performed by estimating the yearly reduction in combined sewer overflow (CSO) volumes. This requires sufficiently long data series, but the necessary input d
Autor:
Ditte Marie, Reinholdt Jensen, Santiago, Sandoval, Jean-Baptiste, Aubin, Jean-Luc, Bertrand-Krajewski, Li, Xuyong, Peter Steen, Mikkelsen, Luca, Vezzaro
Publikováno v:
Jensen, D M R, Sandoval, S, Aubin, J-B, Bertrand-Krajewski, J-L, Xuyong, L, Mikkelsen, P S & Vezzaro, L 2022, ' Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves ', Water Research, vol. 217, 118394 . https://doi.org/10.1016/j.watres.2022.118394
Pollution levels in stormwater vary significantly during rain events, with pollutant flushes carrying a major fraction of an event pollutant load in a short period. Understanding these flushes is thus essential for stormwater management. However, cur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::700e6e505db21b4377b3cd76b14b4921
https://orbit.dtu.dk/en/publications/edf734d3-0315-416f-9fd8-0e9210d0441f
https://orbit.dtu.dk/en/publications/edf734d3-0315-416f-9fd8-0e9210d0441f
Autor:
Lena Mutzner, Viviane Furrer, Hélène Castebrunet, Ulrich Dittmer, Stephan Fuchs, Wolfgang Gernjak, Marie-Christine Gromaire, Andreas Matzinger, Peter Steen Mikkelsen, William R. Selbig, Luca Vezzaro
Publikováno v:
Water Research, 223, Art.-Nr.: 118968
Mutzner, L, Furrer, V, Castebrunet, H, Dittmer, U, Fuchs, S, Gernjak, W, Gromaire, M-C, Matzinger, A, Mikkelsen, P S, Selbig, W R & Vezzaro, L 2022, ' A decade of monitoring micropollutants in urban wet-weather flows : What did we learn? ', Water Research, vol. 223, 118968 . https://doi.org/10.1016/j.watres.2022.118968
Water Research, 223
Mutzner, L, Furrer, V, Castebrunet, H, Dittmer, U, Fuchs, S, Gernjak, W, Gromaire, M-C, Matzinger, A, Mikkelsen, P S, Selbig, W R & Vezzaro, L 2022, ' A decade of monitoring micropollutants in urban wet-weather flows : What did we learn? ', Water Research, vol. 223, 118968 . https://doi.org/10.1016/j.watres.2022.118968
Water Research, 223
Urban wet-weather discharges from combined sewer overflows (CSO) and stormwater outlets (SWO) are a potential pathway for micropollutants (trace contaminants) to surface waters, posing a threat to the environment and possible water reuse applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2707bcf08cbe41760deaabe45d692de
Autor:
Beatrice Rosso, Fabiana Corami, Luca Vezzaro, Stefano Biondi, Barbara Bravo, Carlo Barbante, Andrea Gambaro
Publikováno v:
Journal of Environmental Management. 324:116348
Highway stormwater (HSW) runoff is a significant pathway for transferring microplastics from land-based sources to the other surrounding environmental compartments. Small microplastics (SMPs, 5-100 μm), additives, plasticizers, natural, and nonplast