Advanced Hydroinformatic Techniques for the Simulation and Analysis of Water Supply and Distribution Systems

© 2019 by the authors; CC BY license

water demand; forecasting; Markov chain; stochastic; MOEA; DE; HS; water distribution system; NSGA2; SPEA2; NSHSDE; water demand estimation; demand multipliers; underdetermined model; uncertain measurements; particle swarm optimization; optimization; water distribution network; pump schedule; genetic algorithm; energy; pollution emissions; hydraulic simulation; network structure uncertainty; performance assessment; scenario analysis; water distribution benchmarking; drop manhole; energy dissipation; free outflow conditions; constrained outflow conditions; outlet choking; water supply pipeline; transient wave; non-uniformities; wave scattering; transient modelling; leak detection; water distribution systems; velocity; discolouration; modelling; turbidity; hydraulic events; water quality; mains conditioning; leak detection; pipe network; inverse transient analysis (ITA); water distribution networks (WDNs); ordinal optimization approach (OOA); symbiotic organism search (SOS); water distribution networks; optimization; heuristics; search space reduction; Genetic Algorithm; hybrid method; intermittent water supply; cluster analysis; graph theory; DMA; equity; forecasting models; short-term; water demand simulation; water supply; principal component analysis; Jucazinho reservoir; water distribution systems; multi-objective optimisation; evolutionary multi-objective optimisation; water distribution system management; spectral analysis; complex networks; water end uses; water microcomponents; high frequency smart metering data; residential water flow trace disaggregation; water flow trace filtering; transient simulation; fault detection; transmission main; branches; transient test-based techniques; water distribution systems; optimisation; literature review; design; rehabilitation; algorithms; water distribution design; water network performance; pressure pipe system; water quality; water demand