Article
Environmental Sciences
Yiran Ji, Feifei Zheng, Jiawen Du, Yuan Huang, Weiwei Bi, Huan-Feng Duan, Dragan Savic, Zoran Kapelan
Summary: This study proposes a novel manual grab-sampling method (MGSM) for locating contamination sources in water distribution systems. By using a dynamic and cyclical sampling strategy, this method can effectively and accurately reduce the spatial range of the contamination sources, and it is applicable to scenarios with multiple contamination sources and pipe flow direction changes. The results demonstrate a balanced trade-off between detection efficiency and sampling/testing budgets.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Zilin Li, Chi Zhang, Haixing Liu, Chao Zhang, Mengke Zhao, Qiang Gong, Guangtao Fu
Summary: This study presents a new stacking ensemble model that uses multiple water quality parameters for contamination event detection. The proposed method outperforms an artificial neural network (ANN) benchmark method in terms of detection accuracy. The results demonstrate the great potential of the stacking method for detecting contamination events in water distribution systems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Mengning Qiu, Elad Salomons, Avi Ostfeld
Summary: This study proposes an analytical method for modeling the slug-feed method of disinfection and demonstrates its efficacy in two case studies, showing higher robustness compared to current standards and literature. The method provides additional resource utilization flexibility for water authorities and offers extra levels of district metered areas prioritization.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Environmental
Yujue Zhou, Jie Jiang, Kai Qian, Yulong Ding, Shuang-Hua Yang, Ligang He
Summary: Water distribution networks are crucial infrastructure, and water contamination incidents pose threats to public health. Various methods and deep learning models have been employed for contamination source identification. This paper proposes a solution for cross-network CSI based on graph convolutional networks, showing comparable accuracy even when trained on a different WDN.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Automation & Control Systems
Xin Chen, Shunyi Zhao, Fei Liu, Chongben Tao
Summary: This article addresses the robust online identification problem of linear systems using a faster robust recursive expectation-maximization (RREM) framework. To accelerate convergence, outliers are modeled by a Laplace distribution instead of Student's t-distribution. The recursive transformation of the maximum likelihood function is achieved using a recursive Q-function. The proposed approach is tested on a simulated continuous fermentation reactor system example and a coupled-tank experiment.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Microbiology
Valeria Di Onofrio, Mariangela Pagano, Marco Santulli, Annamaria Rossi, Renato Liguori, Mirella Di Dio, Giorgio Liguori
Summary: The COVID-19 pandemic had an impact on the prevalence of Legionellosis, a type of pneumonia caused by the Legionella bacteria. Analysis of environmental surveys in tourist facilities conducted since 2019 showed an increase in Legionella contamination during the pandemic period. The most common risk factor for contamination was the temperature of circulated water.
Article
Engineering, Environmental
Fuyu Xie, Miaocheng Yu, Qingke Yuan, Ying Meng, Yukang Qie, Ziming Shang, Fubo Luan, Dalei Zhang
Summary: The discharge of pollutants into the Yellow River has been controlled since 2013, resulting in an improvement in the overall water quality. However, the contamination status and sources of heavy metals in the river remain unclear. Our study found that heavy metal contents in sediments remained stable over time, but there was a significant reduction in surface water. No heavy metal contamination was observed in surface water, and the distribution of heavy metals along the river did not show significant spatial differences. Sediments were assessed as having a low to moderate contamination degree. The upstream and midstream had higher concentrations of heavy metals compared to the downstream. Anthropogenic activities and soil erosion from the Loess Plateau were identified as important sources of heavy metals in the Yellow River sediments.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Ali Khaksar Fasaee, Shahryar Monghasemi, Mohammad Reza Nikoo, M. Ehsan Shafiee, Emily Zechman Berglund, Parnian Hashempour Bakhtiari
Summary: This research develops a new model to improve the effectiveness of hydrant flushing strategies through simulating contamination events, identifying similar propagating contamination events, and optimizing the layout of water quality sensors.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Kai Qian, Jie Jiang, Yulong Ding, Shuang-Hua Yang
Summary: Water distribution networks are critical infrastructures worldwide and ensuring water quality is a priority. The deep learning guided evolutionary algorithm DLGEA shows promising results in optimizing the search space of EAs for contamination source identification in WDNs.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
C. Giudicianni, M. Herrera, A. Di Nardo, E. Creaco, R. Greco
Summary: This paper aims to address three issues in the optimal placement of water quality sensors for protecting water distribution systems. The proposed method restricts optimization to important pipes, introduces dummy nodes, and uses a multi-criteria decision-making tool to select effective sensor locations. The method is tested on the water distribution system of Parete, Italy, showing positive results.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Green & Sustainable Science & Technology
Malvin S. Marlim, Doosun Kang
Summary: This study examines the viability of customer involvement in decontamination by testing a proposed method and comparing its effectiveness with hydrant flushing in two actual DMA-sized water distribution networks. The results show that the proposed method performs comparably to hydrant flushing.
Article
Environmental Sciences
Mohamed R. Torkomany, Hassan Shokry Hassan, Amin Shoukry, Ahmed M. Abdelrazek, Mohamed Elkholy
Summary: Researchers have developed a new hybrid fast-convergent multi-objective particle swarm optimization algorithm to optimize water distribution system designs in the face of water scarcity. The algorithm performs well in medium-sized networks and even better in large networks without the use of local search.
Article
Construction & Building Technology
Gabriele Dessena, Marco Civera, Luca Zanotti Fragonara, Dmitry I. Ignatyev, James F. Whidborne
Summary: Data-driven structural health monitoring requires precise estimates of the target system behavior. This paper proposes using the Loewner framework, an input-output system identification technique based on rational interpolation, to estimate the modal properties of mechanical systems. The Loewner framework is validated on numerical and experimental datasets and achieves promising results in terms of accuracy and reliability.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Green & Sustainable Science & Technology
Zukang Hu, Wenlong Chen, Debao Tan, Song Ye, Dingtao Shen
Summary: Contaminant intrusion in water distribution networks can jeopardize the safety of residential drinking water. Sensor placement optimization is crucial for improving the detection efficiency, as the number and location of sensors are critical factors. This study proposes a multi-objective sensor placement optimization method based on contamination risks, which takes into account the impact of contamination events and helps to identify the optimal placement scheme.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Environmental
L. Rowenczyk, H. Cai, B. Nguyen, M. Sirois, M-C Cote-Laurin, N. Toupoint, A. Ismail, N. Tufenkji
Summary: Despite the importance of freshwaters to human health, the presence and fate of microplastics in marine estuaries have not been extensively studied. This research focused on the Saint-Lawrence River in Canada, analyzing surface water and marine bivalve samples along the river-to-sea continuum. The concentration of larger microplastics was higher in downstream areas compared to upstream areas, while the trend for smaller microplastics was less clear. Microplastics were also found in the digestive systems of bivalves, indicating their presence in the water column. This study provides valuable data on the fate of microplastics in a river-to-sea continuum.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Meteorology & Atmospheric Sciences
Rajarshi Das Bhowmik, A. Sankarasubramanian, Tushar Sinha, Jason Patskoski, G. Mahinthakumar, Kenneth E. Kunkel
JOURNAL OF HYDROMETEOROLOGY
(2017)
Article
Engineering, Civil
Andrew Berglund, Venkata Siva Areti, Downey Brill, G. (Kumar) Mahinthakumar
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2017)
Article
Engineering, Environmental
S. B. Seo, G. Mahinthakumar, A. Sankarasubramanian, M. Kumar
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2018)
Article
Engineering, Civil
S. B. Seo, R. Das Bhowmik, A. Sankarasubramanian, G. Mahinthakumar, M. Kumar
JOURNAL OF HYDROLOGY
(2019)
Article
Engineering, Environmental
Henry Ricca, Vasanthadevi Aravinthan, Gnanamanikam Mahinthakumar
WATER ENVIRONMENT RESEARCH
(2019)
Article
Thermodynamics
A. R. de Queiroz, D. Mulcahy, A. Sankarasubramanian, J. P. Deane, G. Mahinthakumar, N. Lu, J. F. DeCarolis
Article
Engineering, Environmental
Riyana Ayub, Kyle P. Messier, Marc L. Serre, Kumar Mahinthakumar
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2019)
Article
Engineering, Civil
Jorge E. Pesantez, Emily Zechman Berglund, G. Mahinthakumar
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2019)
Article
Engineering, Civil
A. M. Kabaasha, J. E. van Zyl, G. ''Kumar'' Mahinthakumar
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2020)
Article
Engineering, Civil
Jorge E. Pesantez, Emily Zechman Berglund, G. Mahinthakumar
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2020)
Article
Construction & Building Technology
Jorge E. Pesantez, Faisal Alghamdi, Shreya Sabu, G. Mahinthakumar, Emily Zechman Berglund
Summary: This research utilizes digital twin technology to assess the impact of infrastructure due to changes in water demands associated with the COVID-19 pandemic, providing valuable analyses and insights for water utility managers.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Civil
Ivo Daniel, Jorge Pesantez, Simon Letzgus, Mohammad Ali Khaksar Fasaee, Faisal Alghamdi, Emily Berglund, G. Mahinthakumar, Andrea Cominola
Summary: In this study, the leakage identification and localization algorithm (LILA) is proposed for water distribution networks. By analyzing sensor pressure data and using an optimization framework, LILA can accurately identify and locate leakages, with small localization errors.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2022)
Proceedings Paper
Engineering, Environmental
Shreya Sabu, Gnanamanikam Mahinthakumar, Ranji Ranjithan, James Levis, Downey Brill
Summary: The project aims to leverage smart water technologies and neural networks to detect and reduce water leakages in water distribution networks, leading to significant water savings and reduced pipe breakages. By building a regression model, the project seeks to accurately detect leakage nodes within a region.
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2021: PLANNING A RESILIENT FUTURE ALONG AMERICA'S FRESHWATERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Yi Xuan, Lucas Ford, Kumar Mahinthakumar, Assis De Souza Filho, Upmanu Lall, A. Sankarasubramanian
ENVIRONMENTAL MODELLING & SOFTWARE
(2020)
Article
Water Resources
Henry Ricca, Jason Patskoski, Gnanamanikam Mahinthakumar
JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH
(2020)