Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-3841 article 2020 Berglund, Emily Zechman and Berglund, Emily Zechman and Monroe, Jacob G. and Monroe, Jacob G. and Ahmed, Ishtiak and Ahmed, Ishtiak and Noghabaei, Mojtaba and Noghabaei, Mojtaba and Do, Jinung and Do, Jinung and Pesantez, Jorge E. and Pesantez, Jorge E. and Fasaee, Mohammad Ali Khaksar and Fasaee, Mohammad Ali Khaksar and Bardaka, Eleni and Bardaka, Eleni and Han, Kevin and Han, Kevin and Han, Kevin and Proestos, Giorgio T. and Proestos, Giorgio T. and Levis, James W. and Levis, James W. Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities Journal of Infrastructure Systems 10.1061/(asce)is.1943-555x.0000549 AbstractSmart city programs provide a range of technologies that can be applied to solve infrastructure problems associated with ageing infrastructure and increasing demands. The potential for infr...
publications-3842 article 2020 Dryhurst, Sarah and Dryhurst, Sarah and Schneider, Claudia R. and Schneider, Claudia R. and Kerr, John R. and Kerr, John and Kerr, John and Freeman, Alexandra and Freeman, Alexandra L. J. and Recchia, Gabriel and Recchia, Gabriel and van der Bles, Anne Marthe and van der Bles, Anne Marthe and van der Bles, Anne Marthe and Spiegelhalter, David and Spiegelhalter, David J. and van der Linden, Sander and van der Linden, Sander Risk perceptions of COVID-19 around the world Journal of Risk Research 10.1080/13669877.2020.1758193 The World Health Organization has declared the rapid spread of COVID-19 around the world a global public health emergency. It is well-known that the spread of the disease is influenced by people’s ...
publications-3843 article 2020 O’Dwyer, Edward and O’Dwyer, Edward and Pan, Indranil and Pan, Indranil and Charlesworth, Richard and Charlesworth, Richard and Butler, Sarah and Butler, Sarah and Shah, Nilay and Shah, Nilay and Shah, Nilay Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems Sustainable Cities and Society 10.1016/j.scs.2020.102412 Abstract As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or district becomes more viable. Suitable tools are needed that can harness advanced control and machine learning techniques to achieve environmental, economic and resilience objectives. In this paper, an energy management tool is presented that can offer optimal control, scheduling, forecasting and coordination services to energy assets across a district, enabling optimal decisions under user-defined objectives. The tool presented here can coordinate different sub-systems in a district to avoid the violation of high-level system constraints and is designed in a generic fashion to enable transferable use across different energy sectors. The work demonstrates the potential for a single open-source optimisation framework to be applied across multiple energy vectors, providing local government the opportunity to manage different assets in a coordinated fashion. This is shown through case studies that integrate low-carbon communal heating for social housing with electric vehicle charge-point management to achieve high-level system constraints and local government objectives in the borough of Greenwich, London. The paper illustrates the theoretical methodology, the software architecture and the digital twin-based testing environment underpinning the proposed approach.
publications-3844 article 2020 Bich-Ngoc, Nguyen and Bich-Ngoc, Nguyen and Teller, Jacques and Teller, Jacques Potential Effects of the COVID-19 Pandemic through Changes in Outbound Tourism on Water Demand: The Case of Liège (Belgium) Water 10.3390/w12102820 The COVID-19 pandemic has led to many countries closing their borders, and numerous people spending their holidays at home instead of traveling abroad. This sudden reduction in travel activities, and other ‘new normals’, might have influenced people’s water usage. Hence, using Liege as a case study, this study aims to address the potential effect of outbound tourism on water consumption and how the current situation might affect the total water demand. Statistical models were developed and validated using the total daily volume of 23 municipalities in the Liege conurbation, the monthly total number of outbound trips, and other meteorological data. Results suggest significantly lower water demand in the months with high numbers of outbound travel activities. Though the projected risk of increased water needs due to fewer people traveling is moderate, the threat becomes much higher during long periods of dry and hot weather.
publications-3845 article 2020 Rizvi, Syed and Rizvi, Syed and Rustum, Rabee and Rustum, Rabee and Deepak, M Mathew and Deepak, Malini and Wright, Grant and Wright, Grant and Arthur, Scott and Arthur, Scott Identifying and analyzing residential water demand profile;including the impact of COVID-19 and month of Ramadan, for selected developments in Dubai, United Arab Emirates Water supply 10.2166/ws.2020.319 Consumption of water varies throughout the day due to the daily routines of the consumer This pattern of daily water consumption is called the water demand profile The initiatives to create these profiles are to improve hydraulic performance and to build energy conservation strategies for designed networks in Dubai Therefore, the aim of the work presented here was to develop and analyze a domestic consumption profile for selected developments with socio-demographic factors including weekday/weekend variation, population, income, fasting during the month of Ramadan, and the outbreak of COVID-19 Data from more than 7000 smart meters were collected while water meters of more than 350 residential flats were examined manually Water demand profiles generated from the data showed weekdays have more predictable peaks (morning 6-8 am and evening 5-7 pm) than weekends During Ramadan, peak hours shifted to 7-10 am followed by 3-4 pm during workdays while peaks for low-income areas were higher due to a stricter working routine The COVID-19 crisis has led to significant rise in observed consumption, with over a 30\% increase during the month of Ramadan The observed results, if compared with further end-use studies on more factors affecting demand profiles, can help in generating both cost and energy efficient networks
publications-3846 article 2021 Alvisi, Stefano and Alvisi, Stefano and Franchini, Marco and Franchini, Marco and Luciani, Chiara and Luciani, Chiara and Marzola, Irene and Marzola, Irene and Mazzoni, Filippo and Mazzoni, Filippo Effects of the COVID-19 Lockdown on Water Consumptions: Northern Italy Case Study Journal of Water Resources Planning and Management 10.1061/(asce)wr.1943-5452.0001481 AbstractThe spread of the COVID-19 pandemic induced many countries, including Italy, to implement social distancing measures and to suspend the majority of educational and working activities, which...
publications-3847 article 2023 Berglund, Emily Zechman and Shafiee, M. Ehsan and Xing, Lu and Wen, Jason Digital Twins for Water Distribution Systems Journal of water resources planning and management 10.1061/jwrmd5.wreng-5786 Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.
publications-3848 article 2007 Hall, John and Zaffiro, Alan D. and Marx, Randall B. and Kefauver, Paul C. and Krishnan, E. Radha and Haught, Roy C. and Herrmann, Jonathan G. On–Line water quality parameters as indicators of distribution system contamination Journal American Water Works Association 10.1002/j.1551-8833.2007.tb07847.x The safety and security of drinking water distribution systems have recently generated considerable interest because of the credible concern that they could be compromised with chemical, biological, and radiological contaminants. In order to protect public health, the US Environmental Protection Agency initiated a program to investigate how changes in water quality parameters, which potentially indicate contamination, can be detected by real- or near real-time sensors. The sensors investigated were off-the-shelf commercial products designed to monitor standard drinking water parameters such as pH, free chlorine, oxidation reduction potential (ORP), dissolved oxygen, specific conductance, turbidity, total organic carbon (TOC), chloride, ammonia, and nitrate. These sensors were mounted within a recirculating pipe loop and challenged with contaminants including secondary effluent from a wastewater treatment plant, potassium ferricyanide, a malathion insecticidal formulation, a glyphosate herbicidal formulation, nicotine, arsenic trioxide, aldicarb, and Escherichia coli K-12 strain with growth media. Overall, the sensors that responded to most contaminants were those that monitored for free chlorine, TOC, ORP, specific conductance, and chloride. Generally, the technology used in sensor design or the particular manufacturer of the sensor did not affect the response characteristics. These results may help refine the role of water quality sensors, in conjunction with other data sources such as customer complaints and public health surveillance data, in a contamination warning system within a water distribution system.
publications-3849 article 2006 Janke, Robert and Murray, Regan and Uber, James G. and Taxon, Tom Comparison of Physical Sampling and Real-Time Monitoring Strategies for Designing a Contamination Warning System in a Drinking Water Distribution System Journal of Water Resources Planning and Management 10.1061/(asce)0733-9496(2006)132:4(310) Protecting the water systems of the United States from terrorist attacks has become a federal and local priority. Routine sampling and analysis has been proposed as a potential monitoring approach that could be used to provide early detection of contamination events in drinking water systems. Using the threat ensemble vulnerability assessment computational framework, an evaluation of the benefits of three routine sampling programs is compared to a real-time monitoring program. The results are illustrated by tradeoff curves that demonstrate the benefits provided by a sensor network given an intentional biological or chemical attack. Further, the results show that response time is critical and physical sampling-based monitoring with sample collection frequencies of 24 h or longer are much less effective than real-time monitoring.
publications-3850 article 2013 Giacomoni, Marcio and Giacomoni, Marcio and Kanta, Lufthansa and Kanta, Lufthansa and Zechman, Emily M. and Zechman, Emily M. Complex Adaptive Systems Approach to Simulate the Sustainability of Water Resources and Urbanization Journal of Water Resources Planning and Management 10.1061/(asce)wr.1943-5452.0000302 AbstractUrban water resources should be managed to meet conflicting demands for environmental health, economic prosperity, and social equity for present and future generations. While the sustainability of water resources can depend on dynamic interactions among natural, social, and infrastructure systems, typical water resource planning and management approaches are based on methodologies that ignore feedbacks and adaptations among these systems. This research develops and demonstrates a new complex adaptive systems approach to model the dynamic interactions among population growth, land-use change, the hydrologic cycle, residential water use, and interbasin transfers. Agent-based and cellular automaton models, representing consumers and policymakers who make land- and water-use decisions, are coupled with hydrologic models. The framework is applied for an illustrative case study to simulate urbanization and the water supply system over a long-term planning horizon. Results indicate that interactions amon...