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 ▲	Type	Year	Authors	Title	Venue/Journal	DOI	Abstract
publications-4091	article	2014	Liu, Shuming and Liu, Shuming and Han, Ce and Che, Han and Smith, Kate and Smith, Kate and Chen, Lei and Chen, Lei	Contamination event detection using multiple types of conventional water quality sensors in source water	Environmental Science: Processes & Impacts	10.1039/c4em00188e	Early warning systems are often used to detect deliberate and accidental contamination events in a water system. Conventional methods normally detect a contamination event by comparing the predicted and observed water quality values from one sensor. This paper proposes a new method for event detection by exploring the correlative relationships between multiple types of conventional water quality sensors. The performance of the proposed method was evaluated using data from contaminant injection experiments in a laboratory. Results from these experiments demonstrated the correlative responses of multiple types of sensors. It was observed that the proposed method could detect a contamination event 9 minutes after the introduction of lead nitrate solution with a concentration of 0.01 mg Lβ’1. The proposed method employs three parameters. Their impact on the detection performance was also analyzed. The initial analysis showed that the correlative response is contaminant-specific, which implies that it can be utilized not only for contamination detection, but also for contaminant identification.
publications-4092	article	2014	Zhao, Haifeng and Hou, Dibo and Huang, Pingjie and Zhang, Guangxin	Water Quality Event Detection in Drinking Water Network	Water Air and Soil Pollution	10.1007/s11270-014-2183-7	Drinking water network is vulnerable to toxic chemicals. Anomaly detection-based event detection can provide reliable indication of contamination by analyzing the real-time water quality data, collected by online-distributed sensors in water network. This article reviews the water quality event detection methodologies based on the correlation of water quality parameters and contaminants. Further, we review how to reduce the impact of contamination in water distribution network, including sensor placement optimization and contamination source determination.
publications-4093	article	2012	Wang, Shuliang and Wang, Shuliang and Liu, Hong and Chen, Xueguang and Hong, Liu and Chen, Xueguang	Vulnerability analysis of interdependent infrastructure systems: A methodological framework	Physica A-statistical Mechanics and Its Applications	10.1016/j.physa.2011.12.043
publications-4094	article	2010	Moglia, Magnus and Moglia, Magnus and Perez, Pascal and Perez, Pascal and Burn, Stewart and Burn, Stewart	Modelling an urban water system on the edge of chaos	Environmental Modelling and Software	10.1016/j.envsoft.2010.05.002
publications-4095	article	2015	Liu, Shuming and Liu, Shuming and Han, Ce and Che, Han and Smith, Kate and Smith, Kate and Chen, Chao and Chen, Chao and Chen, Chao and Chen, Chao	A method of detecting contamination events using multiple conventional water quality sensors	Environmental Monitoring and Assessment	10.1007/s10661-014-4189-4	Early warning systems are often used for detecting contamination accidents. Traditional event detection methods suffer from high false negative and false positive errors. This paper proposes a detection method using multiple conventional water quality sensors and introduces a method to determine the values of parameters, which was configured as a multiple optimization problem and solved using a non-dominated sorting genetic algorithm (NSGA-II). The capability of the proposed method to detect contamination events caused by cadmium nitrate is demonstrated in this paper. The performance of the proposed method to detect events caused by different concentrations was also investigated. Results show that, after calibration, the proposed method can detect a contamination event 1 min after addition of cadmium nitrate at the concentration of 0.008 mg/l and has low false negative and positive rates.
publications-4096	article	2005	Edwards, Margaret and Edwards, Margaret and Ferrand, Nils and Ferrand, Nils and Ferrand, Nils and Goreaud, FranΓ§ois and Goreaud, FranΓ§ois and Goreaud, FranΓ§ois and Huet, Sylvie and Huet, Sylvie	The relevance of aggregating a water consumption model cannot be disconnected from the choice of information available on the resource	Simulation Modelling Practice and Theory	10.1016/j.simpat.2004.11.008
publications-4097	article	2011	Li, Wen-Jun and Li, Weifeng and Li, Weifeng and Ling, Wencui and Ling, Wencui and Liu, Suoxiang and Liu, Suoxiang and Liu, Suoxiang and Liu, Suoxiang and Zhao, Jiayi and Zhao, Jing and Liu, Ruiping and Liu, Ruiping and Chen, Qiuwen and Chen, Qiuwen and Qiang, Zhimin and Qiang, Zhimin and Qu, Jiuhui and Qu, Jiuhui	Development of systems for detection, early warning, and control of pipeline leakage in drinking water distribution: A case study	Journal of Environmental Sciences-china	10.1016/s1001-0742(10)60577-3
publications-4098	article	2005	Grimm, Volker and Grimm, Volker and Revilla, Eloy and Revilla, Eloy and Berger, Uta and Berger, Uta and Jeltsch, Florian and Jeltsch, Florian and Mooij, Wolf M. and Mooij, Wolf M. and Mooij, Wolf M. and Railsback, Steven F. and Railsback, Steven F. and Thulke, Hansβ€Hermann and Thulke, Hansβ€Hermann and Weiner, Jacob and Weiner, Jacob and Wiegand, Thorsten and Wiegand, Thorsten and Jiang, Jiang and DeAngelis, Donald L.	Pattern-oriented modeling of agent-based complex systems: lessons from ecology	Science	10.1126/science.1116681	Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity.
publications-4099	article	2013	Belaqziz, Salwa and Belaqziz, S. and Fazziki, Abdelaziz El and Fazziki, Aziz El and Mangiarotti, Sylvain and Mangiarotti, Sylvain and Mangiarotti, S. and Lepage, Michel and Page, Michel Le and Page, Michel Le and Khabba, SaΓ―d and Khabba, Said and Er-Raki, Salah and Erβ€Raki, Salah and Raki, Salah Er and Adnani, Mohamed El and Adnani, Mohamed El and Jarlan, Lionel and Jarlan, Lionel	An Agent based Modeling for the Gravity Irrigation Management	Procedia environmental sciences	10.1016/j.proenv.2013.06.089	Abstract Efficient water resources management is an issue of major importance in the field of sustainable development, especially in the agricultural sector which represents the main consumer through irrigations. Therefore irrigation management is an important and innovating area which was the subject of several research and studies. Modeling, and more particularly, the Agent-Based Modeling (ABM), allows better representing the multiplicity of these actors, the diversity of their roles and their interactions. The main reason why we chose the agent technology in the field of gravity irrigation systems, is the complexity to manage in real-time the water distribution operations those arrive asynchronously and dynamically and to be reactive and adaptive to the dynamic and unpredictable events that characterizes the field (mainly rainy advents). Our objectives are mainly located on two levels. The first one, concerns the gravity irrigation modeling by a multi-agent technology and the agent modeling through AML language. The second one focuses on the irrigations scheduling optimization using an evolutionary algorithm. Comparisons between schedules before and after optimization are made and the results shows that our approach can be considered as an efficient tool for planning irrigation schedules by considering crops water needs.
publications-4100	article	2004	Propato, Marco and Uber, James G.	Vulnerability of Water Distribution Systems to Pathogen Intrusion: How Effective Is a Disinfectant Residual?	Environmental Science & Technology	10.1021/es035271z	Can the spread of infectious disease through water distribution systems be halted by a disinfectant residual? This question is overdue for an answer. Regulatory agencies and water utilities have long been concerned about accidental intrusions of pathogens into distribution system pipelines (i.e., cross-connections) and are increasingly concerned about deliberate pathogen contamination. Here, a simulation framework is developed and used to assess the vulnerability of a water system to microbiological contamination. The risk of delivering contaminated water to consumers is quantified by a network water quality model that includes disinfectant decay and disinfection kinetics. The framework is applied to two example networks under a worst-case deliberate intrusion scenario. Results show that the risk of consumer exposure is affected by the residual maintenance strategy employed. The common regulation that demands a β€_x009c_detectableβ€_x009d_ disinfectant residual may not provide effective consumer protection against microb...