title: [Method for optimal sensor placement in water distribution systems with nodal demand uncertainties].
abstract: The notion of identification fitness was proposed for optimizing sensor placement in water distribution systems. Nondominated Sorting Genetic Algorithm II was used to find the Pareto front between minimum overlap of possible detection times of two events and the best probability of detection, taking nodal demand uncertainties into account. This methodology was applied to an example network. The solutions show that the probability of detection and the number of possible locations are not remarkably affected by nodal demand uncertainties, but the sources identification accuracy declines with nodal demand uncertainties.
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China. shumingliu@tsinghua.edu.cn
authors.forename: Shu-Ming
authors.initials: SM
authors.lastname: Liu
authors.forename: Xue
authors.initials: X
authors.lastname: Wu
authors.forename: Le-Yan
authors.initials: LY
authors.lastname: Ouyang
mesh_terms: D000465:Algorithms; D035501:Uncertainty; D014867:Water / Q000032:analysis*; D014881:Water Supply
chemical_list: D014867:Water