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DOI | 10.1002/2017WR020921 |
Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France) | |
Fischer, P.1; Jardani, A.1; Wang, X.2; Jourde, H.2; Leeog, N.1 | |
2017-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | France |
英文摘要 | The distributed modeling of flow paths within karstic and fractured fields remains a complex task because of the high dependence of the hydraulic responses to the relative locations between observational boreholes and interconnected fractures and karstic conduits that control the main flow of the hydrosystem. The inverse problem in a distributed model is one alternative approach to interpret the hydraulic test data by mapping the karstic networks and fractured areas. In this work, we developed a Bayesian inversion approach, the Cellular Automata-based Deterministic Inversion (CADI) algorithm to infer the spatial distribution of hydraulic properties in a structurally constrained model. This method distributes hydraulic properties along linear structures (i.e., flow conduits) and iteratively modifies the structural geometry of this conduit network to progressively match the observed hydraulic data to the modeled ones. As a result, this method produces a conductivity model that is composed of a discrete conduit network embedded in the background matrix, capable of producing the same flow behavior as the investigated hydrologic system. The method is applied to invert a set of multiborehole hydraulic tests collected from a hydraulic tomography experiment conducted at the Terrieu field site in the Lez aquifer, Southern France. The emergent model shows a high consistency to field observation of hydraulic connections between boreholes. Furthermore, it provides a geologically realistic pattern of flow conduits. This method is therefore of considerable value toward an enhanced distributed modeling of the fractured and karstified aquifers. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423299000029 |
WOS关键词 | HYDRAULIC TOMOGRAPHY ; SOUTHERN FRANCE ; PUMPING TESTS ; PERMEABILITY ESTIMATION ; GEOSTATISTICAL APPROACH ; WATER-RESOURCES ; JOINT INVERSION ; MODEL ; SCALE ; HETEROGENEITIES |
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/21619 |
专题 | 资源环境科学 |
作者单位 | 1.Normandie Univ, UNIROUEN, UNICAEN, CNRS, Rouen, France; 2.Univ Montpellier, CNRS, Lab Hydrosci, Montpellier, France |
推荐引用方式 GB/T 7714 | Fischer, P.,Jardani, A.,Wang, X.,et al. Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France)[J]. WATER RESOURCES RESEARCH,2017,53(12). |
APA | Fischer, P.,Jardani, A.,Wang, X.,Jourde, H.,&Leeog, N..(2017).Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France).WATER RESOURCES RESEARCH,53(12). |
MLA | Fischer, P.,et al."Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-Based Deterministic Inversion Method (Lez Aquifer, France)".WATER RESOURCES RESEARCH 53.12(2017). |
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