Next Article in Journal
A Bias Correction Method for Rainfall Forecasts Using Backward Storm Tracking
Next Article in Special Issue
Sizing of Domestic Rainwater Harvesting Systems Using Economic Performance Indicators to Support Water Supply Systems
Previous Article in Journal
Health Risk Assessment of Household Drinking Water in a District in the UAE
Previous Article in Special Issue
Enhancing Residential Water End Use Pattern Recognition Accuracy Using Self-Organizing Maps and K-Means Clustering Techniques: Autoflow v3.1
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle

Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline

College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Guangzhou Water Supply Co., Ltd., Guangzhou 510600, China
Author to whom correspondence should be addressed.
Water 2018, 10(12), 1727;
Received: 24 October 2018 / Revised: 20 November 2018 / Accepted: 20 November 2018 / Published: 26 November 2018
(This article belongs to the Special Issue Smart Technologies and Water Supply Planning)
PDF [4577 KB, uploaded 26 November 2018]


Pipe bursting is a serious problem for water supply systems. We propose a two-step burst detection and localization method for a long-distance water transportation pipeline. First, we use the Dempster–Shafer theory, an effective inference method for processing uncertain information, and combine two risk functions to identify a pipe burst. Then we identify the location of the burst point using a hydraulic model. The method is prototyped on a transportation pipeline in Guangzhou, China and tested with one-year historical records. The detection system correctly identified all the bursts and the alarm rate is acceptable for the system inspectors (average: two alarms/month). The burst location is identified within the acceptable limits of accuracy. View Full-Text
Keywords: burst detection; risk function; Dempster–Shafer theory; burst localization burst detection; risk function; Dempster–Shafer theory; burst localization

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Cheng, W.; Fang, H.; Xu, G.; Chen, M. Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline. Water 2018, 10, 1727.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top