Model application for monitoring and locating leakages in rural area water pipeline networks

IF 1.6 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL
Xiaoqin Li, Yannan Jia, Dan Zhang, Jifu Yang, Zheng Chen
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引用次数: 0

Abstract

ABSTRACT Monitoring and locating leaks in water supply pipelines are critical to the safety of rural drinking water, which is a highlighted issue in China. To meet this need, an XGBoost-based model was developed and applied to the rural water supply network in Dingyuan, China. It could diagnose water leakage while overcoming the obstacles caused by the limited scale and incompleteness of data. In a comparative case study, the proposed model outperformed the probabilistic neural network models, which require large-scale data, in terms of both F1-score and accuracy, thus demonstrating its capability to accurately locate leakage in rural water supply pipelines.
农村供水管网渗漏监测定位模型应用
摘要监测和定位供水管道中的泄漏对农村饮用水的安全至关重要,这是中国的一个突出问题。为了满足这一需求,开发了一个基于XGBoost的模型,并将其应用于定远市农村供水网络。它可以诊断漏水,同时克服由于规模有限和数据不完整而造成的障碍。在一个比较案例研究中,所提出的模型在F1得分和准确性方面都优于需要大规模数据的概率神经网络模型,从而证明了其准确定位农村供水管道泄漏的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water International
Water International 工程技术-工程:土木
CiteScore
4.40
自引率
7.70%
发文量
58
审稿时长
6-12 weeks
期刊介绍: Water International is the official journal of the International Water Resources Association (IWRA), founded in 1972 to serve as an international gateway to the people, ideas and networks that are critical to the sustainable management of water resources around the world. Water International''s articles, state-of-the-art reviews, technical notes and other matter are policy-relevant and aimed at communicating in-depth knowledge to a multidisciplinary and international community. Water International publishes both individual contributions and thematic special issues and sections on cutting edge issues. All individual manuscript submissions are subject to initial appraisal and peer review by the Deputy Editor in Chief and the Associate Editors, and, if found suitable for further consideration, to peer review by at least one independent, anonymous expert referee. All external peer review is double blind. Thematic issues and sections are handled under comparable procedures by guest editors under the oversight of the Editor in Chief.
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