Case Analysis and Development Suggestions on China’s Water Loss Control by Minimum Night Flow
Shuaihua Hou, Shuaihua Hou, Feng Xu, Chao Wang, Tao Tao
2022
Abstract
Using minimum night flow (MNF) to determine leakage is an efficient method in District Metered Area (DMA),in which short-time inference is more useful and convenient base on the analysis with the comparison of hourly statistics. The case analysis shows the accuracy and effectiveness of short-time inference are mainly interfered by the precision of data recording system and the matching degree (Ma) between the minimum flow and the diameter of metering equipment in the DMA’s inlets. Due to the current state of affairs in China, it is not feasible to immediately upgrade data precision; therefore, it is suggested that one could combine hourly statistics and improving Ma values in the application process of leak determination. Moreover, it is also necessary to promote the popularization of short-time inference through upgraded metering and recording equipment precision.
DownloadPaper Citation
in Harvard Style
Hou S., Xu F., Wang C. and Tao T. (2022). Case Analysis and Development Suggestions on China’s Water Loss Control by Minimum Night Flow. In Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE; ISBN 978-989-758-639-2, SciTePress, pages 61-70. DOI: 10.5220/0011900600003536
in Bibtex Style
@conference{iswee22,
author={Shuaihua Hou and Feng Xu and Chao Wang and Tao Tao},
title={Case Analysis and Development Suggestions on China’s Water Loss Control by Minimum Night Flow},
booktitle={Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE},
year={2022},
pages={61-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011900600003536},
isbn={978-989-758-639-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE
TI - Case Analysis and Development Suggestions on China’s Water Loss Control by Minimum Night Flow
SN - 978-989-758-639-2
AU - Hou S.
AU - Xu F.
AU - Wang C.
AU - Tao T.
PY - 2022
SP - 61
EP - 70
DO - 10.5220/0011900600003536
PB - SciTePress