DOI: 10.1002/2014GL061800
论文题名: Predicting flow and transport in highly heterogeneous alluvial aquifers
作者: Dogan M. ; Van Dam R.L. ; Liu G. ; Meerschaert M.M. ; Butler J.J. ; Jr. ; Bohling G.C. ; Benson D.A. ; Hyndman D.W.
刊名: Geophysical Research Letters
ISSN: 0094-9624
EISSN: 1944-9355
出版年: 2014
卷: 41, 期: 21 起始页码: 7560
结束页码: 7565
语种: 英语
英文关键词: advective-dispersive equation
; aquifer characterization
; fractal method
; hydraulic conductivity
; MADE site
; non-Gaussian transport
Scopus关键词: Aquifers
; Forecasting
; Fractals
; Gaussian noise (electronic)
; Groundwater flow
; Hydraulic conductivity
; Hydrogeology
; Solute transport
; Stochastic systems
; Advective-dispersive equation
; Aquifer characterization
; Fractal methods
; MADE site
; Non-Gaussian
; Groundwater resources
; accuracy assessment
; aquifer
; calibration
; flow field
; groundwater flow
; hydraulic conductivity
; stochasticity
; water flow
; Mississippi
; United States
英文摘要: Successful prediction of groundwater flow and solute transport through highly heterogeneous aquifers has remained elusive due to the limitations of methods to characterize hydraulic conductivity (K) and generate realistic stochastic fields from such data. As a result, many studies have suggested that the classical advective-dispersive equation (ADE) cannot reproduce such transport behavior. Here we demonstrate that when high-resolution K data are used with a fractal stochastic method that produces K fields with adequate connectivity, the classical ADE can accurately predict solute transport at the macrodispersion experiment site in Mississippi. This development provides great promise to accurately predict contaminant plume migration, design more effective remediation schemes, and reduce environmental risks. Key Points Non-Gaussian transport behavior at the MADE site is unraveledADE can reproduce tracer transport in heterogeneous aquifers with no calibrationNew fractal method generates heterogeneous K fields with adequate connectivity ©2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912144922&doi=10.1002%2f2014GL061800&partnerID=40&md5=6f3e3a69fba537b90361327253fae598
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6888
Appears in Collections: 气候减缓与适应
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作者单位: Department of Geological Sciences, Michigan State University, East Lansing, MI, United States
Recommended Citation:
Dogan M.,Van Dam R.L.,Liu G.,et al. Predicting flow and transport in highly heterogeneous alluvial aquifers[J]. Geophysical Research Letters,2014-01-01,41(21).