Large-scale dispersion in a sandy aquifer: Simulation of subsurface transport of environmental tritium

被引:41
|
作者
Engesgaard, P
Jensen, KH
Molson, J
Frind, EO
Olsen, H
机构
[1] UNIV WATERLOO,WATERLOO CTR GROUNDWATER RES,WATERLOO,ON N2L 3G1,CANADA
[2] TECH UNIV DENMARK,DEPT GEOL & GEOTECH ENGN,GROUNDWATER RES CTR,DK-2800 LYNGBY,DENMARK
关键词
D O I
10.1029/96WR02398
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Large-scale dispersion in a sandy unconfined aquifer in Denmark was studied by simulating subsurface transport of environmental tritium. Subsurface transport included transport in a moderately deep unsaturated zone and in a relatively long cross section of the aquifer. The tritium data from the site enabled a four-step modeling analysis comprising (1) estimation of tritium content in the infiltration water, (2) transport in the unsaturated zone, (3) estimation of flux-averaged tritium concentration in the recharge water, and (4) transport in the groundwater zone. The groundwater model simulations were sensitive to the longitudinal and transverse dispersivity parameters, alpha(L) and alpha(T), as a set of parameters, but a model sensitivity analysis showed that it was not possible to identify a unique set of parameter values. A likely range of variation for the two parameters could be identified: (alpha(L), alpha(T)) is an element of [(1 m, 0.005 m); (10 m, 0.0 m)] the two parameters being interdependent in that an increase in alpha(L) results in a decrease in alpha(T) and vice versa. The reported dispersivities represent a scale of 1000 m, the approximate travel distance from the water table to the observation wells. If the estimated alpha(L) can be regarded as being of intermediate reliability following earlier defined criteria, the range or the representative set of values then represent the largest scale of earlier reported values. Including our range of alpha(L) in the set of reported dispersivities suggests that alpha(L) does not increase indefinitely with scale.
引用
收藏
页码:3253 / 3266
页数:14
相关论文
共 50 条
  • [41] Efficient Modeling Methods of Large-scale Model for Monte Carlo Transport Simulation
    Qin, Guiming
    Ma, Yan
    Fu, Yuanguang
    25. INTERNATIONAL CONFERENCE IN CENTRAL EUROPE ON COMPUTER GRAPHICS, VISUALIZATION AND COMPUTER VISION (WSCG 2017), 2017, 2701 : 71 - 76
  • [42] Large-scale lateral heat and fluid transport in the seafloor: revisiting the well-mixed aquifer model
    Rosenberg, ND
    Fisher, AT
    Stein, JS
    EARTH AND PLANETARY SCIENCE LETTERS, 2000, 182 (01) : 93 - 101
  • [43] THE SIMULATION OF A LARGE-SCALE MILITARY ACTIVITY
    GEISLER, MA
    MANAGEMENT SCIENCE, 1959, 5 (04) : 359 - 368
  • [44] SIMULATION MODELING OF LARGE-SCALE SYSTEMS
    FOSTER, JW
    HOGG, GL
    GONZALEZVEGA, O
    PROCEEDINGS ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 1986, (SYM): : 419 - 426
  • [45] On the Accurate Large-scale Simulation of Ferrofluids
    Huang, Libo
    Hadrich, Torsten
    Michels, Dominik L.
    ACM TRANSACTIONS ON GRAPHICS, 2019, 38 (04):
  • [46] Large-scale simulation models of BGP
    Dimitropoulos, XA
    Riley, GF
    IEEE COMPUTER SOCIETY'S 12TH ANNUAL INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATIONS SYSTEMS - PROCEEDINGS, 2004, : 287 - 294
  • [47] Population generation for large-scale simulation
    Hannon, AC
    King, G
    Morrison, C
    Galstyan, A
    Cohen, P
    ENABLING TECHNOLOGIES FOR SIMULATION SCIENCE IX, 2005, 5805 : 116 - 127
  • [48] LARGE-SCALE SIMULATION OF BRAIN CORTICES
    WITTIE, LD
    SIMULATION, 1978, 31 (03) : 73 - 78
  • [49] LARGE-SCALE COMPUTING IN RESERVOIR SIMULATION
    EWING, RE
    INTERNATIONAL JOURNAL OF SUPERCOMPUTER APPLICATIONS AND HIGH PERFORMANCE COMPUTING, 1988, 2 (04): : 45 - 53
  • [50] SIMULATION OF LARGE-SCALE CIRCULATION IN HARBORS
    CHIANG, WL
    LEE, JJ
    JOURNAL OF THE WATERWAY PORT COASTAL AND OCEAN DIVISION-ASCE, 1982, 108 (01): : 17 - 31