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 ā–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-3941 article 2023 YĪ”Ā±ldĪ”Ā±rĪ”Ā±m, Muhammet and Giran, Ī“ā€“mer Digital Twin in Construction 10.1007/978-981-99-0252-1_12
publications-3942 article 2023 Sabzchi-Dehkharghani, Hamed and Majnooni-Heris, Abolfazl and Fakherifard, Ahmad and Yegani, Reza Estimation of household water consumption pattern in a metropolitan area taking the impact of the COVID-19 pandemic 10.1007/s13762-023-04761-8 A new approach for estimating the household water consumption pattern was developed by taking the impact of the COVID-19 pandemic using geographical data. Water consumption data for two years before and a year after the outbreak of the pandemic were analyzed to recognize the consumption pattern on annual and bi-monthly time scales as well as in different spatial classes. Following the recognition of the pattern, the spatiotemporal distribution of household water consumption was estimated based on the discovered connections between consumption and geographical variables. Once a regression relationship between consumption and population density was observed, an idea was developed to investigate the linear equations and their coefficient of parameters in water consumption groups from very low to very high classes using the training data. The coefficients were then adjusted to account for the pandemic's impact on the consumption pattern. Results showed that the highest increases in consumption were 11\% for May-July due to the impact of the pandemic while the impact was from decreasing type during lockdowns. A pandemic-induced decline in the mean of consumption was linked to temporary migration by high-income families, whereas the water consumption of others faced an increase. The impact has also increased the slope of the linear relationship between the annual water consumption and population density increased by 3.5\%. The proposed model estimated the annual water consumption with the accuracy of \%3.77, \%1.82, and \%1.85 for two years before, one year before and one year after the pandemic, respectively.
publications-3943 article 2023 CarriĪ“Ā§o, Nelson and Ferreira, Bruno and Antunes, AndrĪ“Ā© and Caetano, JoĪ“Ā£o Carlos The Challenge of the Digitalization of the Water Sector 10.4018/978-1-6684-6123-5.ch003 The digitalization of the water sector is of utmost importance for improving the efficiency and sustainability of the managed systems. The digitalization process, however, can be seen as a ladder with several steps that the water utility must climb to become a smart utility. The reality is that many water utilities worldwide have not realized yet the benefits of digital transformation and, thus, the digitalization of the water sector lags behind other industries. This chapter presents the major challenges and the promising future that water utilities face in the journey of digitalization. Guidelines on how to choose the most adequate digital solution are also presented, as well as the trends for a smarter water utility.
publications-3944 article 2023 Shu, Fuzhi and Liu, Haixing and Fu, Guangtao and Sun, Siao and Li, Yu-Chuan and Ding, Wei and Wu, Jian and Zhou, Hongxu and Yuan, Yongqin and He, Junguo and Zhang, Lingduo Unraveling the Impact of COVID-19 Pandemic Dynamics on Commercial Water-Use Variation 10.1061/jwrmd5.wreng-5940 Water use was impacted significantly by the COVID-19 pandemic. Although previous studies quantitatively investigated the effects of COVID-19 on water use, the relationship between water-use variation and COVID-19 dynamics (i.e., the spatial-temporal characteristics of COVID-19 cases) has received less attention. This study developed a two-step methodology to unravel the impact of COVID-19 pandemic dynamics on water-use variation. First, using a water-use prediction model, the water-use change percentage (WUCP) indicator, which was calculated as the relative difference between modeled and observed water use, i.e., water-use variation, was used to quantify the COVID-19 effects on water use. Second, two indicators, i.e., the number of existing confirmed cases (NECC) and the spatial risk index (SRI), were applied to characterize pandemic dynamics, and the quantitative relationship between WUCP and pandemic dynamics was examined by means of regression analysis. We collected and analyzed 6-year commercial water-use data from smart meters of Zhongshan District in Dalian City, Northeast China. The results indicate that commercial water use decreased significantly, with an average WUCP of 59.4\%, 54.4\%, and 45.7\%during the three pandemic waves, respectively, in Dalian. Regression analysis showed that there was a positive linear relationship between water-use changes (i.e., WUCP) and pandemic dynamics (i.e., NECC and SRI). Both the number of COVID-19 cases and their spatial distribution impacted commercial water use, and the effects were weakened by restriction strategy improvement, and the accumulation of experience and knowledge about COVID-19. This study provides an in-depth understanding of the impact of COVID-19 dynamics on commercial water use. The results can be used to help predict water demand under during future pandemic periods or other types of natural and human-made disturbance.
publications-3945 article 2022 Lu, Qiuchen and Xie, Xinyou and Parlikad, Ajith Kumar and Schooling, Jennifer and Pitt, Michael DataĪ²ā‚¬ā€œmodel integration layer 10.1680/dtbe.65802.161
publications-3946 article 2022 Cominato, Carolina and Cominato, C. and Sborz, J. and Sborz, Julia and Kalbusch, Andreza and Kalbusch, Andreza and Henning, Elisa and Henning, Elisa Water demand profile before and during COVID-19 pandemic in a Brazilian social housing complex Heliyon 10.1016/j.heliyon.2022.e10307 The COVID-19 pandemic has changed the way resources are consumed around the world. The relationship between the pandemic and water consumption has important implications for the management of water use and must be evaluated in depth. The main goal of this research paper is to establish a comparison between pre-pandemic and pandemic water consumption profiles for 14 social-housing buildings located in Joinville, Southern Brazil. Telemetry data from each apartment were collected on an hourly basis before and during the COVID-19 pandemic. The analysis was based on descriptive statistics on the hourly and daily water consumption in addition to its profile plots. The best probability distribution fitting was also determined. To assess the differences in water consumption due to de pandemic, the Wilcoxon-Mann-Whitney test was employed and a Generalized Linear Model with mixed effects was fitted to the data. The Lognormal distribution was shown to be the most appropriate to model the water consumption data. Due to the COVID-19 pandemic, the two daily peak consumption periods changed from 12 h to 15 h and from 19 h to 21 h. The COVID-19 pandemic also impacted daily water consumption, leading to a small, yet significant, increase in demand in the first quarter of the pandemic period.
publications-3947 article 2020 Mauro, Anna Di and Mauro, Anna Di and Cominola, Andrea and Cominola, Andrea and Castelletti, Andrea and Castelletti, Andrea and Nardo, Armando Di and Nardo, Armando Di Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets Water 10.3390/w13010036 Over the last three decades, the increasing development of smart water meter trials and the rise of demand management has fostered the collection of water demand data at increasingly higher spatial and temporal resolutions. Counting these new datasets and more traditional aggregate water demand data, the literature is rich with heterogeneous urban water demand datasets. They are characterized by heterogeneous spatial scalesĪ²ā‚¬ā€from urban districts, to households or individual water fixturesĪ²ā‚¬ā€and temporal sampling frequenciesĪ²ā‚¬ā€from seasonal/monthly up to sub-daily (minutes or seconds). Motivated by the need of tracking the existing datasets in this rapidly evolving field of investigation, this manuscript is the first comprehensive review effort of the state-of-the-art urban water demand datasets. This paper contributes a review of 92 water demand datasets and 120 related peer-review publications compiled in the last 45 years. The reviewed datasets are classified and analyzed according to the following criteria: spatial scale, temporal scale, and dataset accessibility. This research effort builds an updated catalog of the existing water demand datasets to facilitate future research efforts end encourage the publication of open-access datasets in water demand modelling and management research.
publications-3948 article 2018 Castonguay, Adam C. and Castonguay, Adam C. and Urich, Christian and Urich, Christian and Iftekhar, Sayed and Iftekhar, Sayed and DeletiĪ”ā€”, Ana and Deletic, Ana Modelling urban water management transitions: A case of rainwater harvesting Environmental Modelling and Software 10.1016/j.envsoft.2018.05.001
publications-3949 article 2023 DiCarlo, Morgan and Berglund, Emily Zechman and Kaza, Nikhil and Grieshop, Andrew P. and Shealy, Luke and Behr, Adam Customer complaint management and smart technology adoption by community water systems 10.1016/j.jup.2022.101465 Community water systems (CWSs) supply safe drinking water through pipes and other conveyances to the same population year-round. Complaint management is an important activity for CWSs and can assist efforts to monitor water quality and improve public perceptions. This research explores how CWSs receive, store, and use customer complaints. A new dataset is constructed through the distribution of an online survey. Respondents represent more than 500 CWSs across the U.S. and vary in characteristics, including the population size served. This research gives new insight about the tools that CWSs need and are willing to adopt for analyzing and reporting water quality issues.
publications-3950 article 2023 Tavares, LĪ“Ā­gia ConceiĪ“Ā§Ī“Ā£o and Bravo, Juan MartĪ“Ā­n and Lehdermann, Luisa and Jesus, Ronan T. and de Almeida, Ian Rocha Spatio-temporal changes in urban water consumption during 2 years of the COVID-19 pandemic in southern Brazil 10.2166/ws.2023.100 Abstract This study investigated the changes that occurred during the COVID-19 pandemic in urban water consumption in residential, commercial, industrial, and public agencies in the city of SĪ“Ā£o Leopoldo, southern Brazil, which has about 55,000 consumers and over 200,000 inhabitants. Overall, the city increased water consumption by 5.6\% during the 2-year pandemic, with 5.9\% in 2020 and 5.5\% in 2021. Residential and industrial consumption increased by 6.77 and 9.92\% in the first year, and by 5.47 and 14.45\% in the second year, respectively. On the other hand, commercial and public sector consumption decreased by 5.48 and 46.26\% in the first year and 1.83 and 40.99\% in the second year, respectively. In the first months of the pandemic, there was a sharp increase in residential water consumption at the same time as a reduction in consumption in the other categories. In contrast, there was a slight return to previous water consumption patterns in the following months. Overall, we can affirm that the more central neighborhoods presented higher changes in water consumption than the peripheral neighborhoods. In addition, the water consumption during the pandemic and pre-pandemic periods was statistically different for residential, industrial, and public consumers.