Journal of Water Resources Planning and Management

Includes bibliographical references.

Graph-theoretic surrogate measure to analyze reliability of water distribution system using bayesian belief network-based data fusion technique -- Bayesian localization of water distribution system contamination intrusion events using inline mobile sensor data -- Hierarchical bayesian model for streamflow estimation at ungauged sites via spatial scaling in the great lakes basin -- Multiphase procedure to design district metered areas for water distribution networks -- Evaluation of climate model performance for water supply studies: case study for new york city.

[Article Title: Graph-Theoretic Surrogate Measure to Analyze Reliability of Water Distribution System Using Bayesian Belief Network-Based Data Fusion Technique / Ngandu Balekelayi and Solomon Tesfamariam, p. 1-10] Abstract: Reliability assessment is an integral component of the decision-making process in the planning, design, and operations of water distribution networks (WDNs). Two different approaches are used to evaluate the reliability of WDNs: topological and hydraulic. Operational data and hydraulic layout in normal and abnormal conditions are not usually available to allow the computation of the hydraulic reliability. In this paper, four topological graph metrics (betweenness, topological information centrality, eigenvector centrality, and principal component centrality) were considered.;[Article Title: Bayesian Localization of Water Distribution System Contamination Intrusion Events Using Inline Mobile Sensor Data / Nathan Sankary and Avi Ostfeld, p. 1-10] Abstract: The intrusion of a foreign substance into the water distribution system represents a serious threat to public health. Large-scale water distribution systems serve thousands of consumers who may be put at risk to exposure and ingestion of potentially harmful substances. For an authority managing a water distribution system, it is important to (1) detect a potential contamination, and (2) locate the point of intrusion.;[Article Title: Hierarchical Bayesian Model for Streamflow Estimation at Ungauged Sites via Spatial Scaling in the Great Lakes Basin / Kuk-Hyun Ahn and Scott Steinschneider, p. 1-13] Abstract: This study presents a regional, probabilistic framework for estimating streamflow via spatial scaling for the purposes of informing water balance estimates in the Great Lakes basin. The framework follows a twofold strategy, including a quadratic programming-based optimization model to explore model structure, and several variants of a hierarchical Bayesian model based on insights found in the optimization model. The Bayesian model is developed to explore three innovations in hierarchical modeling for reconstructing historical streamflow at ungauged sites: (1) the combination of spatial proximity and physical basin characteristics for streamflow scaling, (2) the use of time-varying weights in the spatial scaling based on climate information, and (3) the consideration of residual heteroscedasticity to improve estimates of uncertainty.;[Article Title: Multiphase Procedure to Design District Metered Areas for Water Distribution Networks / Jorge E. Pesantez, Emily Zechman Berglund, and G. Mahinthakumar, p. 1-10] Abstract: Dividing a water distribution network into subsystems can improve the efficiency and ease of achieving management goals. Subsystems or district metered areas (DMAs) are isolated control zones with a defined number of entrances and exits. This research presents an automatic approach based on graph theory, optimization, and a heuristic methodology to design DMAs for water systems by minimizing the coefficient of variation of demand similarity among DMAs. The multiphase procedure to design DMAs (MPPDMA) satisfies constraints specified to limit the number of entrances per DMA, meet maximum and minimum pressure at nonzero demand nodes, and maintain water levels of the tanks over extended periods of simulation.;[Article Title: Evaluation of Climate Model Performance for Water Supply Studies: Case Study for New York City / Aavudai Anandhi, Donald C. Pierson, and Allan Frei, p. 1-7] Abstract: Evaluating the suitability of data from global climate models (GCMs) for use as input in water supply models is an important step in the larger task of evaluating the effects of climate change on water resources management such as that of water supply operations. The purpose of this paper is to present the process by which GCMs were evaluated and incorporated into the New York City (NYC) water supply's planning activities and to provide conclusions regarding the overall effectiveness of the ranking procedure used in the evaluation.