Miguel Jiménez

Instituto Geológico y Minero de España

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Henry Mayorga

Víctor Caballero

Instituto Colombiano del Petróleo y Energías de la Transición - Icpet

Marcela Jaramillo

Universidad EAFIT

Ricardo Andrés Gómez-Moncada

Ecopetrol (Colombia)

Andrés Martínez

Joel E. Saylor

University of British Columbia

Maurício Parra

Universidade de São Paulo

Davis Suárez

Ecopetrol (Colombia)

Andrés Mora

Ecopetrol (Colombia)

Ricardo Bueno

Ecopetrol (Colombia)

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Ecopetrol (Colombia)

Instituto Colombiano del Petróleo y Energías de la Transición - Icpet

Instituto Geológico y Minero de España

Universidad EAFIT

Universidad Nacional de Colombia

The University of Texas at Austin

Consejo Superior de Investigaciones Científicas

University of Potsdam

Industrial University of Santander

Universidad de Granada

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Q-Facies: A tool for the quantitative interpretation of groundwater hydrochemical facies

SoftwareX (2023)

Miguel Jiménez Héctor Aguilera Luis Moreno Merino Amalia Romero Prados

This article presents Q-Facies, an open-source Python package for quantitative analysis of hydrochemical facies (HF). HF is widely used to interpret the chemical characteristics of groundwater. However, it is difficult to analyse its spatial or temporal variability due to its qualitative nature and the small number of classes. To avoid these limitations, Q-Facies performs the parametrization of HF based on the calculation of five statistical indices on the Piper diagram: Blau, Standard Distance, Area, Shape and Orientation indices. The latter two allow the identification of ongoing facies-modifying hydrochemical phenomena. The software relies on standard Python libraries, and is available as a GitHub repository.

Python

10.1016/j.softx.2023.101450

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Citations (1)

Decoding of Groundwater Recharge in Deep Aquifers of Foreland Basins Using Stable Isotopes (Δ18o and Δd) And Anion-Cation Analysis: A Case Study in the Southern Llanos Basin, Colombia

SSRN Electronic Journal (2022)

Ricardo Andrés Gómez-Moncada Andrés Mora Marcela Jaramillo Henry Mayorga Andrés Martínez

The topographic and structural configuration of the deformation front in foreland basins has implications in the process of hydrologic recharge of deep aquifer systems. Deep aquifer systems are favored when tectonic deformation has exhumed aquifer units to the surface, creating a connection between the surface and subsurface. The indirect water recharge processes established by this connection allows meteoric water to infiltrate and travel long distances through a basin. Therefore, establishing recharge zones and determining the influence of meteoric waters in deep aquifers represents a challenge to understand the dynamics and hydraulic potential of this type of system. This study presents new oxygen and hydrogen isotopic data from 162 samples of surface water and 109 samples from groundwater. Groundwater samples were taken from deep wells (700 m to 4000 m deep) that penetrated the aquifer units that make up the Basal Flow Unit present in the southern Llanos basin in Colombia. In addition, anion and cation analysis (HCO3, CO3, SO4, Cl, Na, K, Ca, Mg) was performed on 67 surface water samples and 93 groundwater samples from wells to evaluate their composition and existing relationship with the recharge areas. We use this data to establish the isotopic behavior of the Andean Foreland in Colombia and predict the altitude ranges of the recharge zones for a deep regional aquifer that extends along the southern Llanos basin in Colombia.

δ18O

Isotope Analysis

10.2139/ssrn.4093802

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Decoding of groundwater recharge in deep aquifers of foreland Basins using stable isotopes (δ18O and δD) and anion-cation analysis: A case study in the southern Llanos Basin, Colombia

Journal of South American Earth Sciences (2022)

Ricardo Andrés Gómez-Moncada Andrés Mora Marcela Jaramillo Maurício Parra Henry Mayorga

Depression-focused recharge

δ18O

Groundwater model

10.1016/j.jsames.2022.104079

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Citations (3)