Mean residence times (ages) in subsurface water

被引:1
|
作者
Maloszewski, P [1 ]
机构
[1] GSF, Inst Hydrol, Neuherberg, Germany
关键词
D O I
10.1201/9781439833858.ch6
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 transit time (age) of groundwater can be obtained e.g., by applying so called lumped-parameter models to the time records of environmental tracers measured in the input and in the output of the groundwater system. Those models are based on an assumption that the transit time distribution function (exit age distribution function) of the tracer particles in the investigated system is known. The transit time distribution function describes the whole spectrum of the transit times of a single tracer particles transported between the entrance (recharge area) and the exit (discharge area: a spring, a stream, pumping wells) of the system. The type of the function and the values of its parameter define the model of a system. The main parameter is the mean transit time of tracer through the system, which is commonly assumed to be equal to the mean transit of water molecules. The parameters of the model are found by fitting the model to the experimental records of tracer concentrations measured at the outlet. The found value of the mean transit time serves in combination with some other data for determining other useful parameters, e.g. the recharge rate or the volume of water in the system. The paper presents the transit time distribution functions of some lumped-parameter models, which can be used in practice.
引用
收藏
页码:47 / 51
页数:5
相关论文
共 50 条
  • [31] The mean residence time of river water in the Canada Basin
    Chen Min
    Xing Na
    Huang YiPu
    Qiu YuSheng
    CHINESE SCIENCE BULLETIN, 2008, 53 (05): : 777 - 783
  • [32] Water residence times in trees of a neotropical dry forest
    Graefe, Sophie
    Fang, Dongming
    Butz, Philipp
    TREES-STRUCTURE AND FUNCTION, 2019, 33 (04): : 1225 - 1231
  • [33] Water residence times in trees of a neotropical dry forest
    Sophie Graefe
    Dongming Fang
    Philipp Butz
    Trees, 2019, 33 : 1225 - 1231
  • [34] Transit times and mean ages for nonautonomous and autonomous compartmental systems
    Rasmussen, Martin
    Hastings, Alan
    Smith, Matthew J.
    Agusto, Folashade B.
    Chen-Charpentier, Benito M.
    Hoffman, Forrest M.
    Jiang, Jiang
    Todd-Brown, Katherine E. O.
    Wang, Ying
    Wang, Ying-Ping
    Luo, Yiqi
    JOURNAL OF MATHEMATICAL BIOLOGY, 2016, 73 (6-7) : 1379 - 1398
  • [35] Transit times and mean ages for nonautonomous and autonomous compartmental systems
    Martin Rasmussen
    Alan Hastings
    Matthew J. Smith
    Folashade B. Agusto
    Benito M. Chen-Charpentier
    Forrest M. Hoffman
    Jiang Jiang
    Katherine E. O. Todd-Brown
    Ying Wang
    Ying-Ping Wang
    Yiqi Luo
    Journal of Mathematical Biology, 2016, 73 : 1379 - 1398
  • [36] RESIDENCE TIMES OF FINE PARTICLES IN AN OCEANIC WATER COLUMN
    LERMAN, A
    CARDER, KL
    BETZER, PR
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1977, 58 (06): : 409 - 410
  • [37] Residence times of water molecules in the hydration sites of myoglobin
    Makarov, VA
    Andrews, BK
    Smith, PE
    Pettitt, BM
    BIOPHYSICAL JOURNAL, 2000, 79 (06) : 2966 - 2974
  • [38] Evaluating the uncertainty in mean residual times: Estimators based on residence times from discrete time processes
    Sanchez, Hernan R.
    Garcia, Javier
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2024, 136
  • [39] On mean residence and first passage times in finite one-dimensional systems
    Bar-Haim, A
    Klafter, J
    JOURNAL OF CHEMICAL PHYSICS, 1998, 109 (13): : 5187 - 5193
  • [40] Collision densities and mean residence times for d-dimensional exponential flights
    Zoia, A.
    Dumonteil, E.
    Mazzolo, A.
    PHYSICAL REVIEW E, 2011, 83 (04)