journal article·2025-01-09Open access

Interdependence Between River Aquifer Groundwater Flow and Temperature–Depth Profiles: Type Curves Based on Pi Theorem and Numerical Simulations

José Antonio Jiménez-Valera, Iván Alhama, Carlos Duque, David Labat

Applied Sciences· Volume 15· Issue 2

Abstract

The interaction between surface water and groundwater has been extensively studied due to its water management implications and the potential environmental impacts arising from it. Experimental studies and numerical modeling have supported analytical solutions; these solutions have been proposed for specific cases in which the aim has been to understand discharge/recharge and aquifer characterization. In this study, new graphical solutions or type curves are provided to estimate the subsurface flow and thermal–mechanical parameters in anisotropic porous media. Using the non-dimensionalization technique of the governing equations, new dimensionless groups (lumped parameters) that govern the solution of both the mechanical problem (uncoupled) and the thermal problem are obtained. From these groups, and by applying the pi theorem and examining numerical simulations of numerous cases, user-friendly type curves are obtained. The recharge flow and hydraulic conductivity are calculated when the thermal properties, geometrical parameters, and temperature variables are known. To evaluate the reliability of the type curves, two real case studies are presented: the interaction between the Guadalfeo River and the Motril-Salobreña coastal aquifer, and the artificial recharge program in the coastal aquifer of Agua Amarga in southern Spain. For verification, the groundwater flow obtained from the type curves is compared with the recharge data. In the case of the river–aquifer interaction, the recharge flow obtained is 13% less than that estimated in previous studies. Regarding the artificial recharge of the coastal aquifer, the flow obtained is 21% less than the volume irrigated over the salt marsh. The uncertainties related to hydrogeological features are considered to have the greatest influence on the error.
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Research context

OpenAlex topics: Hydrology and Watershed Management Studies · Groundwater flow and contamination studies · Hydrological Forecasting Using AI

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Civil and Mining Engineering Department, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 30203 Cartagena, Spain

Department of Geosciences, University of Oslo, Sem Sælands vei 1, 0371 Oslo, Norway

Department of Geodynamics, University of Granada, Av. Fuentenueva s/n, 18071 Granada, Spain

University of Toulouse 3-Department of Geosciences and Environment Toulouse-CNRS-UT3-IRD, 31400 Toulouse, France

Funding

Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia · Programa Regional de Movilidad · Next-Generation EU funding

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