Generation of complex karstic conduit networks with a hydrochemical model

2017 ◽  
Vol 53 (8) ◽  
pp. 6993-7011 ◽  
Author(s):  
Rob de Rooij ◽  
Wendy Graham
2011 ◽  
Vol 6 (3) ◽  
pp. 783-799
Author(s):  
Bayan Muhie Hussien ◽  
Abed Salih Fayyadh ◽  
Jassim Mohmmed Hammed ◽  
Mohammed Affan Al Hamdani

Author(s):  
Chloé Fandel ◽  
Ty Ferré ◽  
Zhao Chen ◽  
Philippe Renard ◽  
Nico Goldscheider

Abstract Karst aquifers are characterized by high-conductivity conduits embedded in a low-conductivity fractured matrix, resulting in extreme heterogeneity and variable groundwater flow behavior. The conduit network controls groundwater flow, but is often unmapped, making it difficult to apply numerical models to predict system behavior. This paper presents a multi-model ensemble method to represent structural and conceptual uncertainty inherent in simulation of systems with limited spatial information, and to guide data collection. The study tests the new method by applying it to a well-mapped, geologically complex long-term study site: the Gottesacker alpine karst system (Austria/Germany). The ensemble generation process, linking existing tools, consists of three steps: creating 3D geologic models using GemPy (a Python package), generating multiple conduit networks constrained by the geology using the Stochastic Karst Simulator (a MATLAB script), and, finally, running multiple flow simulations through each network using the Storm Water Management Model (C-based software) to reject nonbehavioral models based on the fit of the simulated spring discharge to the observed discharge. This approach captures a diversity of plausible system configurations and behaviors using minimal initial data. The ensemble can then be used to explore the importance of hydraulic flow parameters, and to guide additional data collection. For the ensemble generated in this study, the network structure was more determinant of flow behavior than the hydraulic parameters, but multiple different structures yielded similar fits to the observed flow behavior. This suggests that while modeling multiple network structures is important, additional types of data are needed to discriminate between networks.


2020 ◽  
Vol 56 (3) ◽  
Author(s):  
Sanbai Li ◽  
Zhijiang Kang ◽  
Xia‐Ting Feng ◽  
Zhejun Pan ◽  
Xiaote Huang ◽  
...  

2021 ◽  
pp. SP517-2020-126
Author(s):  
Andrew R. Farrant ◽  
Louise Maurice ◽  
Daniel Ballesteros ◽  
Carole Nehme

AbstractThe Upper Cretaceous Chalk Group is renowned as a major aquifer, but the development of secondary porosity due to karstic conduits is poorly understood. Hydrogeological data and evidence from boreholes, sections, and tracer tests indicate that dissolutional conduits occur throughout the Chalk aquifer. Here, we assess the evidence for Chalk karst, and combine it with theoretical models of dissolution and cave formation to produce a conceptual model for the development of karstic conduits. Dissolution due to the mixing of saturated waters of contrasting chemistry along key lithostratigraphical inception horizons form extensive but isolated conduit networks. These form a significant proportion of the secondary porosity and enhance permeability. They prime the aquifer for the development of more integrated conduit networks formed by focussed recharge of unsaturated surface derived water. However, the porous, well-fractured nature of the Chalk means that the time needed to form large integrated cave systems is often longer than timescales of landscape change. Continued landscape evolution and water table lowering halts conduit development before they can enlarge into cave systems except where geological and geomorphological settings are favourable. Groundwater models need to consider the formation of secondary karst permeability as this has a major influence on groundwater flow.


2005 ◽  
Author(s):  
Kung-Yao Lee ◽  
Thomas R. Fisher
Keyword(s):  

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