An investigation into the representativeness of random daytime sampling for lead in drinking water, using computational modelling

被引:7
|
作者
Hayes, C. R. [1 ]
Croft, T. N. [1 ]
机构
[1] Swansea Univ, Coll Engn, Swansea SA2 8PP, W Glam, Wales
来源
JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA | 2012年 / 61卷 / 03期
关键词
drinking water; lead; modelling; plumbosolvency; random daytime sampling; regulation; OPTIMIZATION;
D O I
10.2166/aqua.2012.092
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Random daytime (RDT) sampling for lead in drinking water has been used in the UK since 1989 for regulatory compliance assessment and since 2004 in the Netherlands. In 2008, RDT sampling was recommended to the European Commission as the method to be used throughout the European Union but there are concerns about the representativeness of this method, being of relevance to the protection of human health in water supply systems. This issue has been investigated using an established computational modelling system, from which it was concluded that: (i) RDT sampling as practised in the UK is adequately representative of the range of circumstances that occur; (ii) for houses with daytime residency, RDT sampling is not sensitive to the time period of sampling, unless it is constrained to only a few hours; (iii) for houses without daytime residency, RDT sampling of houses elsewhere with daytime residency is adequately representative, for the total periods of water use; (iv) for houses without daytime residency, random sampling just before or after 'normal office hours' will not be representative for checking zonal compliance; (v) it is important that seasonal variation is accommodated; and (vi) adequate reproducibility can be achieved if at least 100 samples are taken annually and if results are aggregated for several years.
引用
收藏
页码:142 / 152
页数:11
相关论文
共 50 条
  • [1] Computational modelling to investigate the sampling of lead in drinking water
    Hayes, Colin R.
    WATER RESEARCH, 2009, 43 (10) : 2647 - 2656
  • [2] Computational modelling methods for assessing the risks from lead in drinking water
    Hayes, Colin R.
    JOURNAL OF WATER AND HEALTH, 2010, 8 (03) : 532 - 542
  • [3] Modelling the diffusion of lead into drinking water
    Van der Leer, D
    Weatherill, NP
    Sharp, RJ
    Hayes, CR
    APPLIED MATHEMATICAL MODELLING, 2002, 26 (06) : 681 - 699
  • [4] Modelling the diffusion of lead into drinking water
    Van Der Leer, D
    Weatherill, NP
    Hayes, CR
    Sharp, RJ
    WATER POLLUTION VI: MODELLING, MEASURING AND PREDICTION, 2001, 3 : 435 - 444
  • [5] Computational modelling techniques in the optimization of corrosion control for reducing lead in Canadian drinking water
    Hayes, C. R.
    Croft, T. N.
    Campbell, A.
    Douglas, I. P.
    Gadoury, P.
    Schock, M. R.
    WATER QUALITY RESEARCH JOURNAL OF CANADA, 2014, 49 (01): : 82 - 93
  • [6] A method for assessing the effect of water quality changes on plumbosolvency using random daytime sampling
    Cardew, PT
    WATER RESEARCH, 2003, 37 (12) : 2821 - 2832
  • [7] SAMPLING, MONITORING, AND STANDARDS FOR DRINKING-WATER LEAD
    LACEY, RF
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1988, 195 : 172 - ENVR
  • [8] INVESTIGATION OF LEAD REMOVAL FROM DRINKING WATER USING DIFFERENT SORBENTS
    Albrektiene, Ramune
    Paliulis, Dainius
    ECOLOGICAL CHEMISTRY AND ENGINEERING S-CHEMIA I INZYNIERIA EKOLOGICZNA S, 2020, 27 (01): : 67 - 82
  • [9] A computational model to simulate lead emissions to drinking water
    Weatherill, NP
    Hayes, CR
    Sharp, RJ
    Van de Leer, D
    COMPUTATIONAL CIVIL AND STRUCTURAL ENGINEERING, 2000, : 1 - 10
  • [10] Assessment of Lead in Drinking Water from Multiple Drinking Water Sampling Programs for a Midsize City
    Vijayashanthar, Vasikan
    Small, Mitchell J.
    VanBriesen, Jeanne M.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2023, 57 (01) : 842 - 851