Development of a binary model for evaluating water distribution systems by a pressure driven analysis (PDA) approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Morosini A.F. | - |
dc.contributor.author | Haghshenas S.S. | - |
dc.contributor.author | Haghshenas S.S. | - |
dc.contributor.author | Geem Z.W. | - |
dc.date.available | 2020-06-15T01:35:23Z | - |
dc.date.created | 2020-06-08 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/53432 | - |
dc.description.abstract | Investigation of Water Distribution Networks (WDNs) is considered a challenging task due to the unpredicted and uncertain conditions in water engineering. When in a WDN, a pipe failure occurs, and shut-off valves to isolate the broken pipe to allow repairing works are activated. In these new conditions, the hydraulic parameters in the network are modified because the topology of the entire system changes. If the head becomes inadequate, the Pressure Driven Analysis (PDA) is the correct approach to evaluate the performance of water networks. Hence, in the present study, the water distribution system was evaluated in pressure-driven conditions for 100 different scenarios and then using a type of neural network called Group Method of Data Handling (GMDH) as a stochastic technique. For this purpose, several most notable parameters including the base demand, pressure, and alpha (the percentage of effective supplied flow) were calculated using simulations based on a PDA approach and applied to the water distribution network of Praia a Mare in Southern Italy. In the second stage, the output parameters were used in a developed binary classification model. Finally, the obtained results showed that the GMDH algorithm can be applied as a powerful tool for modeling water distribution networks. © 2020 by the authors. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI AG | - |
dc.relation.isPartOf | Applied Sciences (Switzerland) | - |
dc.title | Development of a binary model for evaluating water distribution systems by a pressure driven analysis (PDA) approach | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000535541900042 | - |
dc.identifier.doi | 10.3390/app10093029 | - |
dc.identifier.bibliographicCitation | Applied Sciences (Switzerland), v.10, no.9 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85085552298 | - |
dc.citation.title | Applied Sciences (Switzerland) | - |
dc.citation.volume | 10 | - |
dc.citation.number | 9 | - |
dc.contributor.affiliatedAuthor | Geem Z.W. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | GMDH Algorithm | - |
dc.subject.keywordAuthor | PDA | - |
dc.subject.keywordAuthor | Stochastic technique | - |
dc.subject.keywordAuthor | Water distribution networks | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.