Article
Engineering, Environmental
Matthew Bizer, Christine J. Kirchhoff
Summary: Combined sewer overflows (CSOs) occur when untreated raw sewage mixed with rainwater, runoff, or snowmelt is released during or after a storm in any community with a combined sewer system (CSS). This study aims to provide CSS communities with tools to assess the performance of their CSS systems over time, especially in evaluating efforts to reduce CSOs. A new critical rainfall intensity threshold and a multiple linear regression model are identified and used to predict CSO incidence and volume based on rainfall event characteristics.
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Tiziana Venditto, Kyriakos Manoli, Ajay K. Ray, Siva Sarathy
Summary: An efficient and cost-competitive treatment for CSO using UV disinfection was developed in this study. Pre-treatment and micro-sieve filtration were shown to significantly reduce suspended solids content and increase UV transmittance, with a microbial inactivation model developed to describe the decrease in fecal coliforms. The proposed treatment showed a reduction in TSS and FC, with cost analysis suggesting competitiveness with current treatment strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Gerald Schernewski, Hagen Radtke, Rahel Hauk, Christian Baresel, Mikael Olshammar, Sonja Oberbeckmann
Summary: Urban sewage water pathways, especially stormwater runoff and wastewater treatment plants, are significant sources of microplastics emissions to the Baltic Sea. Coastal emissions contribute around 50% of the total microplastics emissions, and reducing sewer overflow and implementing tertiary treatment at WWTPs could substantially decrease emissions to the sea.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Water Resources
Soo Bin Chun, Zhenduo Zhu, Seyed Hamed Ghodsi
Summary: This study predicts the occurrence of combined sewer overflow (CSO) in cities by analyzing rainfall event characteristics, and determines that rainfall depth is the best predictor. Results show that the prediction accuracy for rainfall depth and maximum intensity ranges from 80% to 100%, while rainfall duration is not a good predictor. Combining the three characteristics slightly improves the average prediction accuracy from 93% to 95%.
URBAN WATER JOURNAL
(2023)
Article
Environmental Sciences
Dawei Yu, Liu Dian, Yonglong Hai, Mark T. Randall, Li Liu, Jibao Liu, Junya Zhang, Xiang Zheng, Yuansong Wei
Summary: This study investigates the effects of temporal evolution of rainfall on urban sewer systems. By analyzing rainfall characteristics in different temporal scales, overflow-risk identification and assessment are achieved. The results show that rainfall, urbanization, and sediments are the major driving forces for long-term CSO pollutants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Ecology
F. Masi, C. Sarti, A. Cincinelli, R. Bresciani, N. Martinuzzi, M. Bernasconi, A. Rizzo
Summary: Combined sewer overflows (CSOs) are a major environmental concern, causing pollution for water bodies. Constructed wetlands (CWs) are a promising nature-based solution for CSO treatment. This study presents the first monitoring of a full-scale CSO-CW system, located in Italy, which showed high treatment efficiency for COD, TP, and N-NH4+, in line with literature data on CSO-CWs in the sewerage network. The system also provided additional ecosystem services and had low operational and maintenance costs.
ECOLOGICAL ENGINEERING
(2023)
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.
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)
Article
Engineering, Environmental
Jinhui Zhao, Lisha Shu, Mengke Wu, Jiabi Han, Shuyu Luo, Jixian Tang
Summary: Urban waterlogging and poor water quality caused by stormwater runoff are growing problems. A combined permeable concrete pavement and constructed wetland system was developed to treat and reuse stormwater runoff. The system achieved high removal rates for suspended solids, but the effluent did not meet the standards for rainwater reuse in terms of chemical oxygen demand, total nitrogen, and total phosphorus concentrations. Further optimization of aeration in the wetland allowed the system to meet the standards for stormwater reuse.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Yaxin Chen, Xuan Shi, Xin Jin, Pengkang Jin
Summary: The characteristics and regulation mechanism of overflow pollution caused by sewer sediments under different precipitation intensities were investigated. The results showed that sewer sediments were the main source of overflow pollutants, contributing up to 70%. A prediction formula for the regulation and storage time of overflow pollutants was obtained based on the relationship among rainfall intensity, sediment scouring thickness, and regulation and storage time.
Article
Environmental Sciences
Gerald Schernewski, Hagen Radtke, Esther Robbe, Mirco Haseler, Rahel Hauk, Lisa Meyer, Sarah Piehl, Joana Riedel, Matthias Labrenz
Summary: The study aimed to assess whether a comprehensive approach linking existing knowledge with monitoring and modeling can provide an improved insight into coastal and marine plastics pollution. Results showed that sewage overflow and stormwater are important pathways for plastic emissions, and the concentration of visible plastics decreases with increasing distance from the estuary.
ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Environmental
Satish Kumar, Ankit Agarwal, Vasant Govind Kumar Villuri, Srinivas Pasupuleti, Dheeraj Kumar, Deo Raj Kaushal, Ashwin Kumar Gosain, Axel Bronstert, Bellie Sivakumar
Summary: This study focused on the development of urban constructed wetlands using a hybrid model, which proved to be effective in simulating floods and identifying flood-prone areas. The proposed constructed wetland in Delhi, India, showed a 23% reduction in flooding and had a significant impact on catchment hydrology. The outcomes of this study can aid hydrologists and administrators in urban stormwater management and planning to mitigate floods in urban watersheds.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Construction & Building Technology
Faham Tahmasebinia, Chengguo Zhang, Chunchen Wei, Ismet Canbulat, Serkan Saydam, Samad Sepasgozar
Summary: The paper introduces a novel numerical procedure to evaluate the behavior of individual support elements and their interactions under dynamic loads. Additionally, a mutual interaction relationship between Cable/Rock Bolt Dissipated Energy and Steel Mesh Dissipated Energy is developed.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2021)
Article
Environmental Sciences
Xuan Cuong Nguyen, Thi Thanh Huyen Nguyen, Quyet Le, Phuoc Cuong Le, Arun Lal Srivastav, Quoc Bao Pham, Phuong Minh Nguyen, D. Duong La, Eldon R. Rene, H. Hao Ngo, S. Woong Chang, D. Duc Nguyen
Summary: This study developed machine learning-based predictive models for designing subsurface constructed wetlands, with Cubist algorithm being identified as the best algorithm explaining 84% of effluent variance. A Cubist algorithm-based design tool for SCW was proposed as a result.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Nicholas R. Wilkins, Howard Fallowfield, Ryan Baring
Summary: This study assessed the spatial distribution and accumulation concentrations of nutrients and contaminants in macrophytes in a constructed wetland as a performance indicator for wetland functionality and management. The results showed that concentrations of water chemistry parameters increased with distance from the inflow, while the height and biomass of macrophytes decreased with distance from the inflow.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Salma Ouali, Yoann Louis, Patrick Germain, Remy Gourdon, Valerie Desjardin
JOURNAL OF POLYMERS AND THE ENVIRONMENT
(2018)
Article
Environmental Sciences
M. Kania, M. Gautier, A. Imig, P. Michel, R. Gourdon
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Environmental Sciences
G. D. Martinez-Carvajal, Laurent Oxarango, Jerome Adrien, Pascal Molle, Nicolas Forquet
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Environmental Sciences
D. D. Silveira, P. Belli Filho, L. S. Philippi, M. E. Cantao, A. Foulquier, S. Bayle, T. P. Delforno, P. Molle
Summary: This study found that operating time and season were responsible for the pattern of the microbial community behavior, with organic matter having a significant impact on bacterial diversity.
ENVIRONMENTAL TECHNOLOGY
(2021)
Article
Environmental Sciences
German Dario Martinez-Carvajal, Laurent Oxarango, Remi Clement, Pascal Molle, Nicolas Forquet
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Review
Environmental Sciences
A. Rizzo, K. Tondera, T. G. Palfy, U. Dittmer, D. Meyer, C. Schreiber, N. Zacharias, J. P. Ruppelt, D. Esser, P. Molle, S. Troesch, F. Masi
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Engineering, Environmental
Remi Lombard-Latune, Florent Leriquier, Chafatayne Oucacha, Lucas Pelus, Gerald Lacombe, Bernard Le Guennec, Pascal Molle
WATER SCIENCE AND TECHNOLOGY
(2020)
Article
Environmental Sciences
German Dario Martinez-Carvajal, Laurent Oxarango, Jerome Adrien, Pascal Molle, Nicolas Forquet
Summary: Clogging is a major operational issue for treatment wetlands. A study investigated the impact of the rest period in French VF treatment wetlands by conducting an ex-situ drying experiment using X-ray CT to analyze structural changes. The results showed reduction in biosolids volume, deposit layer thickness, and increase in void/biosolid specific surface area ratio due to the rest period, indicating improved porosity and reduced clogging potential.
Article
Engineering, Environmental
L. Delgado-Gonzalez, S. Prost-Boucle, S. Troesch, P. Molle
Summary: The study shows that granulated apatite filters have a great phosphorus retention capacity in wastewater treatment, effectively removing phosphorus from wastewater. Phosphorus removal mainly occurs through adsorption and precipitation within the granules' porosity, rather than on the surface of the granules.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Engineering, Environmental
Sara Rabouli, Marc Serre, Vivien Dubois, Julien Gance, Hocine Henine, Pascal Molle, Catherine Truffert, Laura Delgado-Gonzalez, Remi Clement
Summary: This article discusses the importance of soil infiltration in wastewater treatment and proposes a method that integrates various techniques to simplify the design of infiltration areas in heterogeneous soils.
Article
Environmental Sciences
Sergey Kharitonov, Nataliya Shchegolkova, Alina Alexandrova, Alexandra Saynchuk, Philippe Michel, Kevin Maciejewski, Mathieu Gautier, Remy Gourdon, Mikhail Semenov, George Krasnov
Summary: Plants, fungi, bacteria and protozoa in constructed wetlands form a complex system with efficient wastewater treatment. While bacterial community in constructed wetlands has been widely studied, the fungal component, especially saprotrophic fungi, remains less explored. This study analyzed the taxonomic composition of cultivated saprotrophic fungi and bacterial community in vertical flow constructed wetlands operated by the Azoe-NP® process. The findings provide insights into the characteristics of the Azoe-NP® systems and treatment processes in constructed wetlands.
Article
Energy & Fuels
Gaelle Ducom, Jean-Philippe Tagutchou, Mathieu Gautier, Carole Gaignaire, Jacques Mehu, Remy Gourdon
Summary: This study investigated the use of olive mill solid waste (OMSW) as a fuel in a pilot-scale downdraft gasifier. After pelletization and characterization, gasification experiments were conducted with air as the gasifying agent. The performance of the gasifier was evaluated through the analysis of syngas composition, solid residues, and energy balances. The results showed that OMSW has substantial energy potential and could help reduce reliance on fossil fuels, but there were concerns regarding ash melting point, tar content in syngas, and NOx emissions.
Article
Environmental Sciences
Maxime Brandely, Samuel Coussy, Denise Blanc-Biscarat, Remy Gourdon, Gaetan Blanck
Summary: The excavated rocks and soils from civil works often contain high concentrations of leachable anions, raising concerns about contaminant transfer to groundwater. This study found that different stabilizing agents have varying abilities to reduce the mobility of different contaminants, highlighting the importance of selecting the appropriate agent based on the specific contaminant.
Article
Environmental Sciences
Camila Maria Trein, Camille Banc, Kevin Maciejewski, Amanda de Moraes Motta, Remy Gourdon, Pascal Molle, Mathieu Gautier, Marcos von Sperling
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
