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Utilization and Validation of Hydraulic Formula to Optimize Pipeline Diameter in Waterworks~Downsizing of Water Facilities to Prepare for Decrease in Water Demand due to Population Decline~

7 pagesPublished: September 20, 2018

Abstract

In order to optimize and downsize pipeline diameter to prepare for water demand decrease in the future, we conducted validation to apply the Hazen-Williams formula to existing pipeline. We focused on the flow velocity coefficient (hereafter referred to as, “C”) and validated it through a pipeline network simulation and field experiments. As a result, the present value for C that is uniformly adopted in Japan should be modified for existing pipeline. Furthermore, variance in C due to the differences between the inner linings of pipeline was verified. We evaluated the effectiveness of downsizing of pipeline diameter with the result of this study, and we confirmed that this study contributes to optimizing and downsizing pipeline diameter.

Keyphrases: Downsizing, Flow velocity coefficient, Hazen-Williams formula, Head loss

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1955--1961

Links:
BibTeX entry
@inproceedings{HIC2018:Utilization_and_Validation_of,
  author    = {Yoshinori Shishido and Koichi Sato and Haruka Utada and Kazunori Nakai},
  title     = {Utilization and Validation of Hydraulic Formula to Optimize Pipeline Diameter in Waterworks\textbackslash{}\~{}\{\}Downsizing of Water Facilities to Prepare for Decrease in Water Demand due to Population Decline\textbackslash{}\~{}\{\}},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {1955--1961},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/L4Kd},
  doi       = {10.29007/5p89}}
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