| publications-2441 |
Peer reviewed articles |
2022 |
Nans Barthélémy, Romain Sarremejane & Thibault Datry |
Aquatic organic matter decomposition in the terrestrial environments of an intermittent headwater stream |
Aquatic Sciences |
10.1007/s00027-022-00878-z |
Simulation & Modeling |
Groundwater |
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No abstract available |
891090 |
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| publications-2442 |
Peer reviewed articles |
2022 |
Chao Zheng. Nicolin Govender LingZhangChuan-Yu Wu |
GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator |
Particuology |
10.1016/j.partic.2021.03.007 |
Data Management & Analytics |
Wastewater Treatment Plants |
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No abstract available |
840264 |
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| publications-2443 |
Peer reviewed articles |
2022 |
Wenwei LiuChao ZhengChuan-Yu Wu |
Infiltration and resuspension of dilute particle suspensions in micro cavity flow |
Powder Technology |
10.1016/j.powtec.2021.09.066 |
Data Management & Analytics |
Uncategorized |
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No abstract available |
840264 |
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| publications-2444 |
Peer reviewed articles |
2021 |
Aivazidou, E.; Banias, G.; Lampridi, M.; Vasileiadis, G.; Anagnostis, A.; Papageorgiou, E.; Bochtis, |
Smart Technologies for Sustainable Water Management: An Urban Analysis |
MDPI Sustainability |
10.3390/su132413940 |
Data Management & Analytics |
Natural Water Bodies |
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As projections highlight that half of the global population will be living in regions facing severe water scarcity by 2050, sustainable water management policies and practices are more imperative than ever. Following the Sustainable Development Goals for equitable water access and prudent use of natural resources, emerging digital technologies may foster efficient monitoring, control, optimization, and forecasting of freshwater consumption and pollution. Indicatively, the use of sensors, Internet of Things, machine learning, and big data analytics has been catalyzing smart water management. With two-thirds of the global population to be living in urban areas by 2050, this research focuses on the impact of digitization on sustainable urban water management. More specifically, existing scientific literature studies were explored for providing meaningful insights on smart water technologies implemented in urban contexts, emphasizing supply and distribution networks. The review analysis outcomes were classified according to three main pillars identified: (i) level of analysis (i.e., municipal or residential/industrial); (ii) technology used (e.g., sensors, algorithms); and (iii) research scope/focus (e.g., monitoring, optimization), with the use of a systematic approach. Overall, this study is expected to act as a methodological tool and guiding map of the most pertinent state-of-the-art research efforts to integrate digitalization in the field of water stewardship and improve urban sustainability. |
820985 |
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| publications-2445 |
Peer reviewed articles |
2022 |
López, Edgar, and Leonardo Alfonso. |
Methodology to Optimally Place Pressure Sensors for Leak Detection in Water Distribution Systems Using Value of Information |
ASCE American Association of Civil Engineers |
10.1061/(asce)wr.1943-5452.0001578 |
Simulation & Modeling |
Uncategorized |
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No abstract available |
820985 |
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| publications-2446 |
Peer reviewed articles |
2023 |
Stein et al. |
Making Urban Water Management Tangible for the Public by Means of Digital Solutions |
Sustainability |
10.3390/su15021280 |
Data Management & Analytics |
River Basins |
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Digital solutions are increasingly deployed in water management to support decision-making and to realize the automatization of processes. These solutions have a high potential to foster the sustainability of water management and related fields and thus to contribute to achieving the United Nations (UN) Sustainable Development Goals (SDGs). At the same time, more and more digital solutions aim to increase public awareness of specific urban water management aspects. To date, however, evidence is limited on the relevance and effectiveness of such digital solutions and on the effect of the governance settings on the potential of such solutions to raise awareness about the underlying water management issues. This paper aims to provide insights into the findings of two case studies, in Paris and Berlin, investigating the potential of digital solutions to make urban water management visible to the public and thus increase awareness about specific water management issues. |
820954 |
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| publications-2447 |
Peer reviewed articles |
2022 |
Kenda, K.; Mellios, N.; Senožetnik, M.; Pergar, P. |
Computer Architectures for Incremental Learning in Water Management |
Sustainability |
10.3390/su14052886 |
Simulation & Modeling |
River Basins |
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This paper presents an architecture and a platform for processing of water management data in real time. Stakeholders in the domain are faced with the challenge of handling large amounts of incoming sensor data from heterogeneous sources after the digitalization efforts within the sector. Our water management analytical platform (WMAP) is built upon the needs of domain experts (it provides capabilities for offline analysis) and is designed to solve real-world problems (it provides real-time data flow solutions and data-driven predictive analytics) for smart water management. WMAP is expected to contribute significantly to the water management domain, which has not yet acquired the competences to implement extensive data analysis and modeling capabilities in real-world scenarios. The proposed architecture extends existing big data architectures and presents an efficient way of dealing with data-driven modeling in the water management domain. The main improvement is in the speed (online analytics) layer of the architecture, where we introduce heterogeneous data fusion in a set of data streams that provide real-time data-driven modeling and prediction services. Using the proposed architecture, the results illustrate that models built with datasets with richer contextual information and multiple data sources are more accurate and thus more useful. |
820985 |
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| publications-2448 |
Peer reviewed articles |
2020 |
Xianzheng Ma, Cejna Anna Quist-Jensen, Aamer Ali, Vittorio Boffa |
Desalination of Groundwater from a Well in Puglia Region (Italy) by Al2O3-Doped Silica and Polymeric Nanofiltration Membranes |
Nanomaterials |
10.3390/nano10091738 |
Simulation & Modeling |
River Basins |
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Some of the groundwater aquifers in the Puglia Region, Italy, suffer from high salinity and potential micropollutant contamination due to seawater infiltration and chemical discharge. The objective of this study is twofold: to evaluate the performance of the recently reported alumina-doped silica nanofiltration membranes for water potabilization, and to provide a possible solution to improve the groundwater quality in the Puglia Region while maintaining a low energy-footprint. Two lab-made alumina-doped silica membranes with different pore structures, namely S/O = 0.5 and S/O = 2, were tested with real groundwater samples and their performances were compared with those of a commercial polymeric membrane (Dow NF90). Moreover, groundwater samples were sparked with acetamiprid, imidacloprid, and thiacloprid to test the membrane performance in the presence of potential contamination by pesticides. At a trans-membrane pressure of 5 bar, NF90 could reduce the groundwater conductivity from 4.6 to around 1.3 mS·cm−1 and reject 56–85% of the model pesticides, with a permeate flux of 14.2 L·m−2·h−1. The two inorganic membranes S/O = 2 and S/O = 0.5 reduced the permeate conductivity to 3.8 and 2.4 mS·cm−1, respectively. The specific energy consumption for all three membranes was below 0.2 kWh·m−3 which indicates that the potabilization of this groundwater by nanofiltration is commercially feasible. |
776816 |
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| publications-2449 |
Peer reviewed articles |
2022 |
Enrico Cagno; Paola Garrone; Marta Negri; Andrea Rizzuni |
Adoption of water reuse technologies: An assessment under different regulatory and operational scenarios |
Journal of Environmental Management |
10.1016/j.jenvman.2022.115389 |
Data Management & Analytics |
River Basins |
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No abstract available |
776816 |
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| publications-2450 |
Peer reviewed articles |
2021 |
Plevri, A., Monokrousou, K., Makropoulos, C., Lioumis, C., Tazes, N., Lytras, E., Samios, S., Katsouras, G. & Tsalas, N. |
Sewer Mining as a Distributed Intervention for Water-Energy-Materials in the Circular Economy Suitable for Dense Urban Environments: A Real World Demonstration in the City of Athens |
Water 2021 |
10.3390/w13192764 |
Data Management & Analytics |
River Basins |
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Water reuse and recycling is gaining momentum as a way to improve the circularity of cities, while recognizing the central role of water within a circular economy (CE) context. However, such interventions often depend on the location of wastewater treatment plants and the treatment technologies installed in their premises, while relying on an expensive piped network to ensure that treated wastewater gets transported from the treatment plant to the point of demand. Thus, the penetration level of treated wastewater as a source of non-potable supply in dense urban environments is limited. This paper focuses on the demonstration of a sewer mining (SM) unit as a source of treated wastewater, as part of a larger and more holistic configuration that examines all three ‘streams’ associated with water in CE: water, energy and materials. The application area is the Athens Plant Nursery, in the (water stressed) city of Athens, Greece. SM technology is in fact a mobile wastewater treatment unit in containers able to extract wastewater from local sewers, treat it directly and reuse at the point of demand even in urban environments with limited space. The unit consists of a membrane bioreactor unit (MBR) and a UV disinfection unit and produces high quality reclaimed water for irrigation and also for aquifer recharge during the winter. Furthermore, a short overview of the integrated nutrient and energy recovery subsystem is presented in order to conceptualise the holistic approach and circularity of the whole configuration. The SM technology demonstrates flexibility, scalability and replicability, which are important characteristics for innovation uptake within the emerging CE context and market. |
776541 |
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