| dc.contributor.author | Ron Lifshitz; Avi Ostfeld | |
| dc.date.accessioned | 2019-03-10T11:50:30Z | |
| dc.date.available | 2019-03-10T11:50:30Z | |
| dc.date.issued | 2019 | |
| dc.identifier.other | %28ASCE%29WR.1943-5452.0001031.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4254363 | |
| dc.description.abstract | The 2013 Boston Marathon attack demonstrated the complexity of real-time response to such occurrences. The procedures used by the Federal Bureau of Investigation (FBI) at the Boston event to cluster and mitigate the event consequences inspired the development of a method for real-time response to contamination intrusion events in water distribution systems. Similar to the Boston attack, in the event of water contamination events, the shortage of real-time data, coupled with uncertainties in network topology, water consumption, and the event characteristics, set the ground for the need for a real-time response strategy. A methodology that divides the network into separate monitored zones or clusters, often referred to as district metered areas (DMAs), is widely used to cope with water-related problems such as leakage reduction or pressure control. In this study, a water-quality-related criterion called infection delay time (IDT) was introduced to dynamically cluster the network in case of a contamination event. The IDT parameter was combined with the available system resources to meet water quality goals. A coupled DMA-IDT method was developed for real-time response to contamination events. The setup of the DMA-IDT is described and demonstrated on water distribution systems of various complexities. | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Clustering for Real-Time Response to Water Distribution System Contamination Event Intrusions | |
| dc.type | Journal Paper | |
| dc.journal.volume | 145 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Journal of Water Resources Planning and Management | |
| dc.identifier.doi | 10.1061/(ASCE)WR.1943-5452.0001031 | |
| dc.page | 04018091 | |
| dc.tree | Journal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 002 | |
| dc.contenttype | Fulltext | |