Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024103 |
Can Convolution and Deconvolution Be Used as Tools for Modeling Multicomponent, Mixing-Limited Reaction Networks? | |
Engdahl, Nicholas B.1; McCallum, James L.2; Ginn, Timothy R.1 | |
2019-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:7页码:6302-6315 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Australia |
英文摘要 | Transfer functions (i.e., convolutions) have been powerful tools for both forward modeling and reconstructing past states of transport systems in a wide range of subsurface flow problems. The advantage of the transfer function is that it is a simple alternative to complicated, distributed parameter models of flow and transport, but the majority of applications of transfer functions in hydrology have been limited to relatively simple cases, like passive tracers or first-order decay. The central question evaluated in this note is whether or not multicomponent mixing-limited reactive transport can be represented within a transfer function framework. Our examples consider forward-in-time predictions and backward-in-time reconstructions of a carbonate system that represents the intrusion of seawater into a freshwater aquifer. The main result is that accurate forward-in-time and backward-in-time models are developed by posing the problem in terms of conservative components. As with all convolution-based methods, the results are sensitive to errors and/or noise in the input functions, but we show that smoothed approximations of the requisite functions provide good representations of transport. Given the vast unknowns in any subsurface transport problem, such generalized, reactive transfer function models may have yet unexplored advantages when the trade-offs between overall computational cost, accuracy, and uncertainty are explored in more detail. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000481444700064 |
WOS关键词 | STOCHASTIC-CONVECTIVE TRANSPORT ; GROUNDWATER AGE DISTRIBUTIONS ; NONLINEAR REACTION ; SOLUTE TRANSPORT ; RESIDENCE TIME ; POROUS-MEDIA ; TRACER DATA ; SIMULATION ; DISPERSION ; AQUIFERS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184885 |
专题 | 资源环境科学 |
作者单位 | 1.Washington State Univ, Civil & Environm Engn, Pullman, WA 99164 USA; 2.Univ Western Australia, Sch Earth Sci, Crawley, WA, Australia |
推荐引用方式 GB/T 7714 | Engdahl, Nicholas B.,McCallum, James L.,Ginn, Timothy R.. Can Convolution and Deconvolution Be Used as Tools for Modeling Multicomponent, Mixing-Limited Reaction Networks?[J]. WATER RESOURCES RESEARCH,2019,55(7):6302-6315. |
APA | Engdahl, Nicholas B.,McCallum, James L.,&Ginn, Timothy R..(2019).Can Convolution and Deconvolution Be Used as Tools for Modeling Multicomponent, Mixing-Limited Reaction Networks?.WATER RESOURCES RESEARCH,55(7),6302-6315. |
MLA | Engdahl, Nicholas B.,et al."Can Convolution and Deconvolution Be Used as Tools for Modeling Multicomponent, Mixing-Limited Reaction Networks?".WATER RESOURCES RESEARCH 55.7(2019):6302-6315. |
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