Electronic Technology for Wastewater Treatment and Clean Water Production

被引:0
作者
Yntema, Doekle R. [1 ]
Geelen, Caspar V. C. [1 ,2 ]
机构
[1] Wetsus, European Ctr Excellence Sustainable Water Technol, POB 1113, NL-8900 CC Leeuwarden, Netherlands
[2] Wageningen Univ, Math & Stat Methods Biometris, POB 16, NL-6700 AA Wageningen, Netherlands
关键词
artificial intelligence; sensor state of the art; new sensors; smart pipes; data processing; integration with other domains; sociology effects; SENSOR PLACEMENT; NETWORKS;
D O I
10.3390/w14081276
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water is essential for society. Due to excellent distribution systems for clean drinking water and wastewater, safe and reliable water transport is guaranteed. However, due to ageing network conditions, there is a need for extensive network monitoring and replacement strategies. There is a high demand for good insight into water mains and water distribution systems. A promising way to monitor our water transport involves various types of novel sensors, including strategies for the smart placement of these sensors, maximizing performance while minimizing costs. Furthermore, processing the increasingly large amount of sensor data can be done using Artificial Intelligence and sensor fusion techniques, yielding vastly increased information about the distribution mains.
引用
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页数:4
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共 14 条
  • [1] [Anonymous], 1996, LEAD DRINKING WATER, V2, P7
  • [2] Risk-based approach in the revised European Union drinking water legislation: Opportunities for bioanalytical tools
    Dingemans, Milou M. L.
    Baken, Kirsten A.
    van der Oost, Ron
    Schriks, Merijn
    van Wezel, Annemarie P.
    [J]. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 2019, 15 (01) : 126 - 134
  • [3] Real-world comparison of sensor placement algorithms for leakage localization
    Fuchs-Hanusch, Daniela
    Steffelbauer, David
    [J]. XVIII INTERNATIONAL CONFERENCE ON WATER DISTRIBUTION SYSTEMS, WDSA2016, 2017, 186 : 499 - 505
  • [4] Optimal Sensor Placement in Hydraulic Conduit Networks: A State-Space Approach
    Geelen, Caspar V. C.
    Yntema, Doekle R.
    Molenaar, Jaap
    Keesman, Karel J.
    [J]. WATER, 2021, 13 (21)
  • [5] Burst Detection by Water Demand Nowcasting Based on Exogenous Sensors
    Geelen, Caspar V. C.
    Yntema, Doekle R.
    Molenaar, Jaap
    Keesman, Karel J.
    [J]. WATER RESOURCES MANAGEMENT, 2021, 35 (04) : 1183 - 1196
  • [6] Modelling and Incorporating the Variable Demand Patterns to the Calibration of Water Distribution System Hydraulic Model
    Hossain, Sharif
    Hewa, Guna A.
    Chow, Christopher W. K.
    Cook, David
    [J]. WATER, 2021, 13 (20)
  • [7] Development of a transcription-based bioanalytical tool to quantify the toxic potencies of hydrophilic compounds in water using the nematode Caenorhabditis elegans
    Karengera, Antoine
    Bao, Cong
    Riksen, Joost A. G.
    Veelen, H. Pieter J. van
    Sterken, Mark G.
    Kammenga, Jan E.
    Murk, Albertinka J.
    Dinkla, Inez J. T.
    [J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2021, 227
  • [8] Mesquida M.F., 2021, THESIS U POLITECNICA
  • [9] Qi ZX, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(asce)wr.1943-5452.0000957, 10.1061/(ASCE)WR.1943-5452.0000957]
  • [10] A review of feature selection techniques in bioinformatics
    Saeys, Yvan
    Inza, Inaki
    Larranaga, Pedro
    [J]. BIOINFORMATICS, 2007, 23 (19) : 2507 - 2517