Article
Environmental Sciences
Tom Wambecq, Stefan Kroll, Johan Van Assel, Rosalia Delgado
Summary: Combined sewage overflows (CSOs) are a common consequence of heavy rainfall events and have significant implications for water quality. With climate change, these events are becoming more frequent and intense, placing greater pressure on aquatic ecosystems. To prevent water pollution, the integration of a dynamic model with rapid calibration of the event mean concentration (EMC) is essential.
Review
Environmental Sciences
Alice Botturi, E. Gozde Ozbayram, Katharina Tondera, Nathalie Gilbert, Pascale Rouault, Nicolas Caradot, Oriol Gutierrez, Saba Daneshgar, Nicola Frison, Cagri Akyol, Alessia Foglia, Anna Laura Eusebi, Francesco Fatone
Summary: CSOs are a major environmental concern impacting surface waterbodies, with an increasing focus on control and treatment measures. Recent studies have proposed innovative guidelines for managing CSOs through treatment and control practices.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Jun Wu, Huaizheng Li, Jin Zhang, Yang Gu, Xinyu Zhou, Dong Zhang, Yan Ma, Shijing Wang, Xingyu Nian, Wei Jin, Ruifei Li, Zuxin Xu
Summary: Understanding the environmental behavior of PAHs in CSOs is crucial for managing PAH pollution in urban areas. This study analyzed the sources and effects of 16 PAHs in CSOs, finding that tetracyclic PAHs had the highest proportion and exhibited a first flush effect. Vehicular emissions were identified as the main source of particulate PAHs in CSOs, impacting river sediment PAH levels and specific microbial populations.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Marine
Fabio Di Nunno, Francesco Granata, Francesco Parrino, Rudy Gargano, Giovanni de Marinis
Summary: This study conducted an experimental investigation to evaluate the outflow of microplastic particles from a side weir, proposing an empirical equation to assess fiber outflow. Results showed that an increase in water flow rate, side weir length, and a decrease in crest height led to an increase in microplastics discharged.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Environmental
Prabhat Joshi, Joao Paulo Leitao, Max Maurer, Peter Marcus Bach
Summary: SuDS play a crucial role in stormwater management by reducing runoff volume, increasing runoff concentration time, and improving drainage system capacity. This study evaluated the potential and cost-effectiveness of SuDS in reducing combined sewer overflows (CSOs) in a small urban catchment. Results showed that SuDS deployment can effectively attenuate CSO volume and is a cost-effective retrofit option for controlling CSOs.
Review
Environmental Sciences
Tiffany Joan Sotelo, Giles B. Sioen, Hiroyasu Satoh
Summary: The innovation in wastewater management requires a reassessment of the function and configuration of collection systems, utilizing their potential to improve wastewater treatment efficiency, particularly in the context of a circular water economy.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Environmental
Seyed Hamed Ghodsi, Zhenduo Zhu, L. Shawn Matott, Alan J. Rabideau, Maria Narine Torres
Summary: The installation of green infrastructure is an effective way to manage urban stormwater and combined sewer overflow. Research on simulation-optimization techniques for GI planning is expanding, but it is unclear how different rainfall scenarios impact the optimal siting of GI.
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Review
Engineering, Environmental
Jun Wu, Yan Ma, Shanshan Song
Summary: This paper presents a comprehensive review of the issues associated with particles in sewers, specifically focusing on the non-negligible contribution of particulate matter to combined sewer overflows (CSOs) and pollution in urban rivers. The study emphasizes that avoiding sedimentation during drainage system design is the most effective prevention and control method, with minimum velocity and minimum shear stress as the core parameters.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Environmental
Marie Eve Jean, Camille Morin, Sophie Duchesne, Genevieve Pelletier, Martin Pleau
Summary: The study evaluates the impact of integrating GIs with different real-time control strategies on CSOs, finding that the distribution of GIs under different real-time control strategies can affect the frequency and volume reduction of CSOs.
Article
Engineering, Civil
J. A. van der Werf, Z. Kapelan, J. Langeveld
Summary: This paper aims to understand the risks associated with using a non-perfect internal MPC-model, real precipitation forecast, and realistic dynamic system capacity fluctuations. The results obtained demonstrate that precipitation forecast uncertainty is associated with a small relative system performance loss, while significant performance loss was observed as a consequence of uncertainties in the internal MPC model and the actual sewer system capacity available.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Environmental
F. Gogien, M. Dechesne, R. Martinerie, G. Lipeme Kouyi
Summary: The future evolution of the climate is expected to increase extreme rainfall events, especially in the Mediterranean regions. This change will impact the operation of combined sewer systems, leading to an increase in untreated water volumes released to receiving waters. Local authorities are considering the extent of these changes in stormwater management design, but currently lack simulations for future rainfall series with the required time step. In this study, future rainfall time series are developed using regional climate models, showing an increase in annual spilled volumes by 13% to 52% by 2100. Compliance with water regulations may become a problem, and uncertainty remains regarding intense rainfall episodes due to limitations in current climate models.
Article
Engineering, Civil
T. R. Rosin, M. Romano, E. Keedwell, Z. Kapelan
Summary: The CEANN model is a novel forecasting model capable of accurately predicting CSO water levels and outperforms other models in terms of accuracy. By utilizing multiple data inputs and evolutionary algorithm optimization, it achieves precise forecasting, which is of significant utility in wastewater services.
WATER RESOURCES MANAGEMENT
(2021)
Editorial Material
Green & Sustainable Science & Technology
Yaoxin Zhang, Swee Ching Tan
Summary: Consensus is needed to accurately evaluate the performance and potential of emerging water production technologies, and this article provides recommendations on how to achieve a fair basis for comparison and align research input with actual demand.
NATURE SUSTAINABILITY
(2022)
Article
Engineering, Environmental
Kiara Marie Allen, Ane Loft Mollerup, Soren Feilberg Rasmussen, Hjalte Jomo Danielsen Sorup
Summary: The objective of this study is to determine whether logistic regression models using rainfall event statistics can be an alternative to create job lists with fewer extraneous events. The results suggest that the developed regression model is able to capture a significant percentage of relevant events with a reduction of approximately 50% in the number of jobs compared to the reference list.
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Environmental
Luca Vezzaro, Jonas Wied Pedersen, Laura Holm Larsen, Carsten Thirsing, Lene Basso Duus, Peter Steen Mikkelsen
WATER SCIENCE AND TECHNOLOGY
(2020)
Article
Environmental Sciences
N. S. V. Lund, M. Borup, H. Madsen, O. Mark, P. S. Mikkelsen
WATER RESOURCES RESEARCH
(2020)
Article
Engineering, Environmental
P. A. Stentoft, L. Vezzaro, P. S. Mikkelsen, M. Grum, T. Munk-Nielsen, P. Tychsen, H. Madsen, R. Halvgaard
WATER SCIENCE AND TECHNOLOGY
(2020)
Article
Computer Science, Interdisciplinary Applications
Rocco Palmitessa, Peter Steen Mikkelsen, Adrian W. K. Law, Morten Borup
Summary: This study presents a scheme for soft sensing urban drainage tunnels by assimilating water level observations into hydrodynamic models, providing useful uncertainty estimates and controlling computational costs.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Engineering, Environmental
P. A. Stentoft, T. Munk-Nielsen, J. K. Moller, H. Madsen, B. Valverde-Perez, P. S. Mikkelsen, L. Vezzaro
Summary: This study proposes a general model predictive control algorithm for optimizing wastewater aeration in Water Resource Recovery Facilities (WRRF) under different management objectives. The results demonstrate significant differences in aeration patterns and concentration dynamics under different control objectives. The MPC flexibility in handling different objectives is highlighted, allowing for optimization of both cost and greenhouse emissions.
Article
Engineering, Civil
Rocco Palmitessa, Peter Steen Mikkelsen, Morten Borup, Adrian W. K. Law
Summary: This study investigates the predictive accuracy of LSTM networks in scenarios of limited or missing antecedent observations. By applying these scenarios to an 11-month observation series from a combined sewer overflow chamber in Copenhagen, Denmark, it was observed that LSTM predictions generally displayed large variability across training runs. Adding information on the past did not improve the prediction accuracy when the most recent observations were known, but LSTM networks were capable of compensating for missing information in antecedent water depth observations by using other available input features. LSTM networks trained without antecedent water depth observations yielded larger prediction errors, but still comparable with other scenarios and captured both dry and wet weather behaviors.
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH
(2021)
Article
Environmental Sciences
Agnethe N. Pedersen, Morten Borup, Annette Brink-Kjaer, Lasse E. Christiansen, Peter S. Mikkelsen
Summary: This paper reviews the emerging concept of digital twins for urban water systems, placing them within different levels of context. A UWS DT is a systematic virtual representation that can be broken down into smaller units for communication through data links.
Article
Computer Science, Interdisciplinary Applications
N. S. V. Lund, J. K. Kirstein, H. Madsen, O. Mark, P. S. Mikkelsen, M. Borup
Summary: Smart meters measuring water consumption are being increasingly deployed worldwide. They provide detailed knowledge of wastewater inflow, but their data quality and uncertainties should be carefully considered. Urban drainage management may benefit from digital system integration despite potential obstacles.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ari Johannesson, Luca Vezzaro, Peter Steen Mikkelsen, Roland Lowe
Summary: This study proposes an unsupervised model selection procedure for identifying data-driven forecast models for urban drainage systems and evaluates the models in terms of different model structures and objective functions.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Engineering, Environmental
A. N. Pedersen, J. W. Pedersen, M. Borup, A. Brink-Kjaer, L. E. Christiansen, P. S. Mikkelsen
Summary: Digital twins of urban drainage systems require simulation models that accurately replicate the physical system. This paper develops a framework for identifying and diagnosing various types of errors and provides transparency by comparing the simulation results with actual observations. The approach is successfully applied to a real case study in Odense, Denmark, allowing for the diagnosis of different model errors.
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Environmental
Ditte Marie Reinholdt Jensen, Santiago Sandoval, Jean-Baptiste Aubin, Jean-Luc Bertrand-Krajewski, Li Xuyong, Peter Steen Mikkelsen, Luca Vezzaro
Summary: This study provides a new perspective on stormwater management by applying data-driven approaches to categorize pollutant flush signals. Functional data analysis reveals great potential in understanding the dynamics of mass volume curves. The study highlights the importance of additional explanatory variables beyond global rainfall characteristics.
Article
Engineering, Environmental
Lena Mutzner, Viviane Furrer, Helene Castebrunet, Ulrich Dittmer, Stephan Fuchs, Wolfgang Gernjak, Marie-Christine Gromaire, Andreas Matzinger, Peter Steen Mikkelsen, William R. Selbig, Luca Vezzaro
Summary: Urban wet-weather discharges from combined sewer overflows and stormwater outlets can pose a threat to surface waters. Despite efforts to monitor micropollutants, the information is limited and scattered. Our data-driven analysis identified the most relevant micropollutants and determined the minimum number of data needed for reliable concentration estimates. We also provided recommendations for future monitoring campaigns.
Article
Environmental Sciences
Sara Maria Lerer, Alexandre Hallkvist Guidje, Karin Margrethe Loef Drenck, Camilla Christiane Jakobsen, Karsten Arnbjerg-Nielsen, Peter Steen Mikkelsen, Hjalte Jomo Danielsen Sorup
Summary: Stormwater control measures are effective and sustainable methods for managing stormwater in cities. These measures require consideration in the initial stages of urban planning and design, and architects and urban planners, who may not have a background in hydrology, need simple and robust tools to inform their plans. Existing local guidelines may have limitations in terms of applicability and methodology, and a methodology for evaluating the performance of different stormwater control measures is needed.
BLUE-GREEN SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Agnethe Nedergaard Pedersen, Annette Brink-Kjaer, Peter Steen Mikkelsen
Summary: Simulation models in urban drainage engineering may contain errors and uncertainties, which can be assessed across multiple sites by comparing model results with measurements. Using hydrological signatures, the study highlights the reliability of the model for different objectives and suggests methods for improvement and refinement in the future.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Agnethe Nedergaard Pedersen, Jonas Wied Pedersen, Antonio Vigueras-Rodriguez, Annette Brink-Kjaer, Morten Borup, Peter Steen Mikkelsen
Summary: This paper presents a comprehensive and unique open-access data set from the urban drainage system in Bellinge, Denmark, providing valuable information for research in urban hydrology and urban drainage systems. The data set includes observations from various sensors, rainfall data, meteorological data, as well as detailed characteristics of the system. The data set also includes two simulation models in MIKE URBAN and EPA SWMM, allowing for independent testing and replication of research results in the field.
EARTH SYSTEM SCIENCE DATA
(2021)
