• DOI:10.1111/gwat.12084
• Corpus ID: 29316181

Estimating Preferential Flow in Karstic Aquifers Using Statistical Mixed Models

@article{Anaya2014EstimatingPF,
  title={Estimating Preferential Flow in Karstic Aquifers Using Statistical Mixed Models},
  author={Angel A. Anaya and Ingrid Y. Padilla and Ra{\'u}l E Macchiavelli and Dorothy J. Vesper and John D. Meeker and Akram N. Alshawabkeh},
  journal={Groundwater},
  year={2014},
  volume={52}
}

• A. Anaya, I. Padilla, +3 authors A. Alshawabkeh
• Published 1 July 2014
• Environmental Science
• Groundwater

Karst aquifers are highly productive groundwater systems often associated with conduit flow. These systems can be highly vulnerable to contamination, resulting in a high potential for contaminant exposure to humans and ecosystems. This work develops statistical models to spatially characterize flow and transport patterns in karstified limestone and determines the effect of aquifer flow rates on these patterns. A laboratory‐scale Geo‐HydroBed model is used to simulate flow and transport processes in a karstic limestone unit. The model consists of stainless steel tanks containing a karstified limestone block collected from a karst aquifer formation in northern Puerto Rico. Experimental work involves making a series of flow and tracer injections, while monitoring hydraulic and tracer response spatially and temporally. Statistical mixed models (SMMs) are applied to hydraulic data to determine likely pathways of preferential flow in the limestone units. The models indicate a highly heterogeneous system with dominant, flow‐dependent preferential flow regions. Results indicate that regions of preferential flow tend to expand at higher groundwater flow rates, suggesting a greater volume of the system being flushed by flowing water at higher rates. Spatial and temporal distribution of tracer concentrations indicates the presence of conduit‐like and diffuse flow transport in the system, supporting the notion of both combined transport mechanisms in the limestone unit. The temporal response of tracer concentrations at different locations in the model coincide with, and confirms the preferential flow distribution generated with the SMMs used in the study.