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 Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-4161 article 2001 Hunter, Paul and Hunter, Paul R. and Colford, Jack and Colford, John M. and Colford, Jack M. and LeChevallier, Mark W. and LeChevallier, Mark W. and LeChevallier, Mark W. and Binder, Susan and Binder, Susan and Berger, Paul S. and Berger, Paul S. Panel on Waterborne Diseases Emerging Infectious Diseases 10.3201/eid0707.017723
publications-4162 article 1999 Fang, Hua and Hua, Fang and West, John R. and West, John R. and Barker, R. and Barker, R.A and Forster, C.F. and Forster, C.F. Modelling of chlorine decay in municipal water supplies Water Research 10.1016/s0043-1354(98)00519-3
publications-4163 article 2005 Duzinkiewicz, K and Brdys, Mietek A. and Chang, T. Hierarchical model predictive control of integrated quality and quantity in drinking water distribution systems Urban Water Journal 10.1080/15730620500144043 An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired quality and maintaining the system constraints. This constrained optimising control problem is complex due to nonlinearities, large dimension, output constraints, mixed-integer structure of the variables involved, at least two time scales in the system dynamics and an uncertainty. A sub-optimal two-level hierarchical control structure is proposed that allows incorporating the desired controller functions and yet making the synthesis of these functions possible. The algorithms for implementing the functionalities are proposed and discussed. Detail design of the lower level controller is presented and investigated. The controller performance is validated by simulation.
publications-4164 article 2012 Mann, Angelica V. and Mann, Angelica and McKenna, Sean Andrew and McKenna, Sean A. and Hart, William E. and Hart, William E. and Laird, Carl D. and Laird, Carl D. Real-time inversion in large-scale water networks using discrete measurements Computers & Chemical Engineering 10.1016/j.compchemeng.2011.08.001
publications-4165 article 2011 Ηλιάδης, Δημήτριος Ξ“. and Eliades, Demetrios G. and Polycarpou, Marios M. and Polycarpou, Marios M. and Charalambous, Bambos and Charalambous, Bambos A Security-Oriented Manual Quality Sampling Methodology for Water Systems Water Resources Management 10.1007/s11269-010-9674-0 The management and security of water resources will be a key challenge in the years ahead. This work investigates the water quality manual sampling scheduling problem in drinking water distribution networks. This work contributes to research by presenting a problem formulation based on the underlying substance propagation dynamics, coupled with the impact dynamics describing the β€_x009c_damageβ€_x009d_ caused by a contamination in a drinking water distribution network. The proposed solution methodology optimizes a risk-objective, in order to compute a manual sampling scheme comprised of sampling nodes and times, using evolutionary computation techniques. To illustrate the methodology, we present simulation results on a real water distribution network.
publications-4166 article 2012 Isern, David and Isern, David and AbellΓ³, SΓ²Nia and AbellΓ³, SΓ²Nia and Moreno, Antonio and Moreno, Antonio Development of a multi-agent system simulation platform for irrigation scheduling with case studies for garden irrigation Computers and Electronics in Agriculture 10.1016/j.compag.2012.04.007
publications-4167 article 2015 Laucelli, Daniele Biagio and Laucelli, Daniele B. and Giustolisi, Orazio and Giustolisi, Orazio Vulnerability Assessment of Water Distribution Networks under Seismic Actions Journal of Water Resources Planning and Management 10.1061/(asce)wr.1943-5452.0000478 AbstractA methodology to analyze the vulnerability of water distribution networks (WDNs) to earthquakes by means of risk assessment is presented. The consequences of multiple pipe failures due to earthquakes are investigated in terms of unsupplied demand to customers. To this aim the steady-state WDN analysis is performed considering system topology changes due to closing isolation valves in order to separate the network segments where failures occur. The pipe failure probability is calculated using fragility curves from the American Lifelines Association (ALA). The identification of the worst pipe failure scenarios as trade-offs between unsupplied demand and probability of occurring is formulated as a multiobjective combinatorial problem and solved using a multiobjective genetic algorithm as optimization strategy. The methodology is applied to the Exnet network. Results show that WDN seismic vulnerability depends also on network segmentation due to the existing isolation valve system. The methodology all...
publications-4168 article 2004 Hare, M. and Hare, M. and Deadman, Peter and Deadman, Peter Further towards a taxonomy of agent-based simulation models in environmental management Mathematics and Computers in Simulation 10.1016/s0378-4754(03)00118-6 Agent-based simulation (ABS) is being increasingly used in environmental management. However, the efficient and effective use of ABS for environmental modelling is hindered by the fact that there is no fixed and clear definition of what an ABS is or even what an agent should be. Terminology has proliferated and definitions of agency have been drawn from an application area (Distributed Artificial Intelligence) which is not wholly relevant to the task of environmental simulation. This situation leaves modellers with little practical support for clearly identifying ABS techniques and how to implement them.This paper is intended to provide an overview of agent-based simulation in environmental modelling so that modellers can link their requirements to the current state of the art in the techniques that are currently used to satisfy them. Terminology is clarified and then simplified to two key existing terms, agent-based modelling and multi-agent simulation, which represent subtly different approaches to ABS, reflected in their respective artificial life (A-life) and distributed artificial intelligence roots. A representative set of case studies are reviewed, from which a classification scheme is developed as a stepping-stone to developing a taxonomy. The taxonomy can then be used by modellers to match ABS techniques to their requirements.
publications-4169 article 2012 Murphy, John T. and Murphy, John T. Exploring complexity with the Hohokam Water Management Simulation: A middle way for archaeological modeling Ecological Modelling 10.1016/j.ecolmodel.2011.12.026
publications-4170 article 2012 Tao, Tao and Tao, Tao and Tao, Tao and Huang, Haidong and Huang, Haidong and Xin, Kunlun and Xin, Kunlun and Xin, Kunlun and Liu, Shuming and Liu, Shuming Identification of contamination source in water distribution network based on consumer complaints Journal of Central South University 10.1007/s11771-012-1182-3 A new methodology was proposed for contamination source identification using information provided by consumer complaints from a probabilistic view. Due to the high uncertainties of information derived from users, the objective of the proposed methodology doesn’t aim to capture a unique solution, but to minimize the number of possible contamination sources. In the proposed methodology, all the possible pollution nodes are identified through the CSA methodology firstly. And then based on the principle of total probability formula, the probability of each possible contamination node is obtained through a series of calculation. According to magnitude of the probability, the number of possible pollution nodes is minimized. The effectiveness and feasibility of the methodology is demonstrated through an application to a real case of ZJ City. Four scenarios were designed to investigate the influence of different uncertainties on the results in this case. The results show that pollutant concentration, injection duration, the number of consumer complaints nodes used for calculation and the prior probability with which consumers would complaint have no particular effect on the identification of contamination source. Three nodes were selected as the most possible pollution sources in water pipe network of ZJ City which includes more than 3 000 nodes. The results show the potential of the proposed method to identify contamination source through consumer complaints.