Development of systems for detection, early warning, and control of pipeline leakage in drinking water distribution: A case study

被引:54
作者
Li, Weifeng [1 ]
Ling, Wencui [1 ]
Liu, Suoxiang [2 ]
Zhao, Jing [2 ]
Liu, Ruiping [1 ]
Chen, Qiuwen [1 ]
Qiang, Zhimin [1 ]
Qui, Jiuhui [1 ]
机构
[1] Chinese Acad Sci, Ecoenvironm Sci Res Ctr, State Key Lab Environm Aquat Chem, Beijing 100085, Peoples R China
[2] Beijing Waterworks Grp, Beijing 100089, Peoples R China
关键词
drinking water; pipeline leakage; leakage detection and forecast; discrete metering area; geographic information system; OPTIMIZATION; REPLACEMENT; NETWORK;
D O I
10.1016/S1001-0742(10)60577-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water leakage in drinking water distribution systems is a serious problem for many cities and a huge challenge for water utilities. An integrated system for the detection, early warning, and control of pipeline leakage has been developed and successfully used to manage the pipeline networks in selected areas of Beijing. A method based on the geographic information system has been proposed to quickly and automatically optimize the layout of the instruments which detect leaks. Methods are also proposed to estimate the probability of each pipe segment leaking (on the basis of historic leakage data), and to assist in locating the leakage points (based on leakage signals). The district metering area (DMA) strategy is used. Guidelines and a flowchart for establishing a DMA to manage the large-scale looped networks in Beijing are proposed. These different functions have been implemented into a central software system to simplify the day-to-day use of the system. In 2007 the system detected 102 non-obvious leakages (i.e., 14.2% of the total detected in Beijing) in the selected areas, which was estimated to save a total volume of 2,385,000 m(3) of water. These results indicate the feasibility, efficiency and wider applicability of this system.
引用
收藏
页码:1816 / 1822
页数:7
相关论文
共 19 条
  • [1] Brothers K., 2003, Water, V21, P54
  • [2] [陈求稳 CHEN Qiuwen], 2008, [中国给水排水, China Water & Wastewater], V24, P52
  • [3] An improved genetic algorithm for pipe network optimization
    Dandy, GC
    Simpson, AR
    Murphy, LJ
    [J]. WATER RESOURCES RESEARCH, 1996, 32 (02) : 449 - 458
  • [4] A physical probabilistic model to predict failure rates in buried PVC pipelines
    Davis, P.
    Burn, S.
    Moglia, M.
    Gould, S.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2007, 92 (09) : 1258 - 1266
  • [5] Farley M., 2003, LOSSES WATER DISTRIB
  • [6] Gat YL, 2000, URBAN WATER, V2, P173
  • [7] Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network
    Ho, Cheng-I
    Lin, Min-Der
    Lo, Shang-Lien
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, 166 (1-4) : 177 - 189
  • [8] Application of Artificial Neural Networks (ANN) to model the failure of urban water mains
    Jafar, Raed
    Shahrour, Isam
    Juran, Ilan
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2010, 51 (9-10) : 1170 - 1180
  • [9] Review of pipeline integrity management practices
    Kishawy, Hossam A.
    Gabbar, Hossam A.
    [J]. INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2010, 87 (07) : 373 - 380
  • [10] Kleiner Y., 2001, URBAN WATER, V3, P131