An early warning monitoring system for quality control in a water distribution network

被引:6
|
作者
Guercio, R. [1 ]
Di Ruzza, E. [1 ]
机构
[1] Univ Roma La Sapienza, Fac Engn, Dept Hydraul Transportat & Roads, Piazzale Aldo Moro 5, Rome, Italy
来源
关键词
early warning water monitoring system; drinking water distribution system control; spectroscopy; on-line monitoring; tracer test; contamination;
D O I
10.2495/WRM070151
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The goal of an early warning water monitoring system (EWWMS) for quality control in a water distribution network is to identify low probability/high impact contamination events in source water or distribution systems. It should be able to detect not only intentional contamination, but also contaminants introduced accidentally or natural occurrences. Firstly, to ensure the full protection of drinking water, a technology- based EWWMS should be one component of the program. While laboratory technology exists to measure a wide range of contaminants, it's not the same for on-line and real time technology. A number of research projects are investigating rapid and on-line monitoring technologies, including biosensors and biochips, fiber optics and microelectronics. In most cases the performances of these systems has not been fully characterized. In this paper, a submergible UV/VIS spectrometer has been extensively tested in laboratory experiments, with the aim to check its limits of sensitivity, its ability to identify and quantify specific contaminants and its rate of false positive/negative.
引用
收藏
页码:143 / +
页数:2
相关论文
共 50 条
  • [21] Advances in on-line drinking water quality monitoring and early warning systems
    Storey, Michael V.
    van der Gaag, Bram
    Burns, Brendan P.
    [J]. WATER RESEARCH, 2011, 45 (02) : 741 - 747
  • [22] Water quality monitoring in early warning of rainfall-triggered debris flows
    [J]. Fan, Shufang (fan0931@126.com), 1600, Universidad Central de Venezuela (55):
  • [23] Green port environment monitoring system with early warning and linkage control
    Xie Jinguang
    Yan Xinping
    Teng Fei
    Mei Langqi
    [J]. PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI), VOL. 1, 2015, : 252 - 255
  • [24] THE INTRODUCTION OF THE SYSTEM OF MONITORING AND EARLY-WARNING OF GALE IN DRIVING CONTROL
    Yu, Chuanjin
    Li, Yongle
    [J]. Fundamental Research in Structural Engineering: Retrospective and Prospective, Vols 1 and 2, 2016, : 810 - 814
  • [25] Comprehensive early warning of power quality in distribution network based on deep learning
    Hua, Liang
    [J]. WIRELESS NETWORKS, 2023,
  • [26] Landslides early warning monitoring system
    Zan, L
    Latini, G
    Piscina, E
    Polloni, G
    Baldelli, P
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 188 - 190
  • [27] Research on spectrum and early-warning parameters of urban water distribution network
    Sun, Li-Guo
    Zhou, Yu-Wen
    Xie, Wen-Feng
    [J]. Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology, 2010, 36 (10): : 1381 - 1388
  • [28] Multi-domain, Autonomous Measurement Buoy as an Element of the Water Quality Monitoring and Early Warning System in Rivers and Water Reservoirs
    Blazejewski, Andrzej
    Pecolt, Sebastian
    Grunt, Maciej
    Wieczorek, Gwidon
    Krolikowski, Tomasz
    [J]. ROCZNIK OCHRONA SRODOWISKA, 2024, 26 : 18 - 29
  • [29] Design and Development of Ice Monitoring and Early Warning System for Distribution Power Lines
    Liu, Yangsheng
    Zhang, Wei
    Feng, Bo
    Li, Shan
    Xia, Xiaofei
    Ma, Yuan
    [J]. Lecture Notes in Electrical Engineering, 2024, 1168 LNEE : 217 - 224
  • [30] Slope disaster monitoring and early warning network system and its engineering application
    Sun, Guanglin
    Tao, Zhigang
    Gong, Weili
    [J]. Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2017, 46 (02): : 285 - 291