Sensitivity of stream-aquifer seepage to spatial variability of the saturated hydraulic conductivity of the aquifer

被引:25
作者
Bruen, MP [1 ]
Osman, YZ [1 ]
机构
[1] Univ Coll Dublin, Dept Civil Engn, Ctr Water Resources Res, Dublin 2, Ireland
关键词
river; aquifer; interaction; model; Monte Carlo; SWMS_2D;
D O I
10.1016/j.jhydrol.2004.02.003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper. the sensitivities of stream-aquifer seepage flow and the state of connection or disconnection between stream and aquifer, to spatial variability in the aquifer-saturated hydraulic conductivity, are studied with the variably saturated modelling programme, SWMS_2D, using a Monte Carlo technique. A simple stream-aquifer flow system is used with a rectangular stream. with a clogging layer on its perimeter, partially penetrating an alluvial aquifer. A 2D nearest-neighbour method is used to Generate fields of log normally distributed saturated conductivity for the alluvial aquifer for a specific set of degree of heterogeneity and the nearest-neighbour autoregressive parameters. Seven different cases are studied. Five of these investigate the effect of the nearest-neighbour parameters, and three cases investigate the effect of aquifer water table level. The results show that the nearest-neighbour parameters and the aquifer degree of heterogeneity significantly affect the modelling of stream seepage, pressure heads and the state of connection/disconnection between stream and aquifer, particularly when the water table is some distance below the streambed. Moreover, comparisons of these results with a purely deterministic model show good agreement when the stream and the aquifer are connected or disconnected but with a high water table. However, there are significant differences between the deterministic and stochastic models when the water table is well below the streambed. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:289 / 302
页数:14
相关论文
共 37 条
[1]  
ABABOU R, 1988, THESIS MIT CAMBRIDGE
[2]   STOCHASTIC-ANALYSIS OF ONE-DIMENSIONAL STEADY-STATE UNSATURATED FLOW - A COMPARISON OF MONTE-CARLO AND PERTURBATION-METHODS [J].
ANDERSSON, J ;
SHAPIRO, AM .
WATER RESOURCES RESEARCH, 1983, 19 (01) :121-133
[3]  
[Anonymous], 132 USDA US SAL LAB
[4]  
[Anonymous], J IRRIGATION DRAIN D
[5]   STOCHASTIC ANALYSIS OF SPATIAL VARIABILITY IN SUBSURFACE FLOWS .1. COMPARISON OF ONE-DIMENSIONAL AND 3-DIMENSIONAL FLOWS [J].
BAKR, AA ;
GELHAR, LW ;
GUTJAHR, AL ;
MACMILLAN, JR .
WATER RESOURCES RESEARCH, 1978, 14 (02) :263-271
[6]  
BENNION DW, 1966, T AIME, V237, P9
[7]   UNSATURATED FLOW IN SPATIALLY-VARIABLE FIELDS .2. APPLICATION OF WATER-FLOW MODELS TO VARIOUS FIELDS [J].
BRESLER, E ;
DAGAN, G .
WATER RESOURCES RESEARCH, 1983, 19 (02) :421-428
[8]  
BROOK D, 1964, BIOMETRIKA, V51, P481
[9]   AN APPLICATION OF STATISTICAL METHODS TO CORE ANALYSIS DATA OF DOLOMITIC LIMESTONE [J].
BULNES, AC .
TRANSACTIONS OF THE AMERICAN INSTITUTE OF MINING AND METALLURGICAL ENGINEERS, 1946, 165 :223-240
[10]   UNSATURATED FLOW IN SPATIALLY-VARIABLE FIELDS .1. DERIVATION OF MODELS OF INFILTRATION AND REDISTRIBUTION [J].
DAGAN, G ;
BRESLER, E .
WATER RESOURCES RESEARCH, 1983, 19 (02) :413-420