Lina Perelman

TL;DR: A tool of this kind based on graph theory is developed and demonstrated that divides the system into clusters according to the flow directions in pipes and can be utilized for different purposes such as water security enhancements by sensor placements at clusters, or efficient isolation of a contaminant intrusion.

TL;DR: A general framework integrating a data-driven estimation model with sequential probability updating is suggested for detecting quality faults in water distribution systems from multivariate water quality time series.

TL;DR: A dynamic thresholds scheme is developed and demonstrated for contamination event detection in water distribution systems and is compared to Perelman et al. (2012), showing considerably improved detection ability.

TL;DR: This paper develops a new augmented greedy algorithm for solving the minimum test cover (MTC) problem and provides a significant computational improvement while guaranteeing the same approximation ratio as the first approach.

TL;DR: In this article, an adaptive stochastic algorithm for water distribution systems optimal design based on the heuristic cross-entropy method for combinatorial optimization is presented, which is demonstrated using two well-known benchmark examples from the water distribution system research literature for single loading gravitational systems, and an example of multiple loadings, pumping, and storage.