A Combined Multi-Isotope And Machine Learning Approach To Determine Groundwater Salinity And Solute Sources, Lower Valley Area, El Paso County, Texas

Groundwater salinization is increasingly troublesome in aquifers in and around El Paso, Texas, where concern for available water resources has grown due to frequent droughts and increasing population. Both groundwater and surface water have experienced an increase in total dissolved solids (TDS), a trend that can pose future health and economic problems for residents who primarily rely on groundwater. To address this issue, this research focuses on the Hueco Bolson Aquifer and the Rio Grande Alluvial Aquifer within the Lower Valley area of El Paso, Texas, utilizing a multi-analysis approach to evaluate and determine solute sources and their possible end-members in groundwater. The first approach employs machine learning non-negative matrix factorization (NMF) source apportionment using major and minor ion data from pre-existing public geochemical datasets and this study’s new data. Recognizing that this approach can have difficulty in separating chemically similar sources, our second approach applies geochemical and isotopic tools (d11B, d2H, d18OH2O, d18OSO4, d34SSO4, 87Sr/86Sr, and 234U/238U) on collected samples to refine the NMF-derived end-member interpretations. From these methods, this study identified four dominant processes influencing groundwater TDS; 1) freshwater input from Rio Grande recharge, 2) evaporation-influenced high-TDS water with chemical weathering/agricultural inputs, 3) carbonate dissolution, and 4) surface Cl Na salt mobilization and/or halite dissolution. These findings clarify the effects of agricultural practices, groundwater-surface water interactions, and contaminant transport that will help guide future water management strategies. Such strategies could include over-pumping prevention to decrease vertical flow of deep, high saline water, and the use of flood irrigation alternatives, such as drip irrigation, that could prevent water-logging, reduce evaporation, and decrease irrigation return flow.

Authors

Publication Details

Journal
scholarworks - UTEP (The University of Texas at El Paso)
Published
2025-12-01
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Combined Multi-Isotope And Machine Learning Approach To Determine Groundwater Salinity And Solute Sources, Lower Valley Area, El Paso County, Texas

Gloria A. Ortiz Gamboa
scholarworks - UTEP (The University of Texas at El Paso)
Groundwater and Isotope Geochemistry
article

A Combined Multi-Isotope And Machine Learning Approach To Determine Groundwater Salinity And Solute Sources, Lower Valley Area, El Paso County, Texas

Gloria A. Ortiz Gamboa
article en

Abstract

Groundwater salinization is increasingly troublesome in aquifers in and around El Paso, Texas, where concern for available water resources has grown due to frequent droughts and increasing population. Both groundwater and surface water have experienced an increase in total dissolved solids (TDS), a trend that can pose future health and economic problems for residents who primarily rely on groundwater. To address this issue, this research focuses on the Hueco Bolson Aquifer and the Rio Grande Alluvial Aquifer within the Lower Valley area of El Paso, Texas, utilizing a multi-analysis approach to evaluate and determine solute sources and their possible end-members in groundwater. The first approach employs machine learning non-negative matrix factorization (NMF) source apportionment using major and minor ion data from pre-existing public geochemical datasets and this study’s new data. Recognizing that this approach can have difficulty in separating chemically similar sources, our second approach applies geochemical and isotopic tools (d11B, d2H, d18OH2O, d18OSO4, d34SSO4, 87Sr/86Sr, and 234U/238U) on collected samples to refine the NMF-derived end-member interpretations. From these methods, this study identified four dominant processes influencing groundwater TDS; 1) freshwater input from Rio Grande recharge, 2) evaporation-influenced high-TDS water with chemical weathering/agricultural inputs, 3) carbonate dissolution, and 4) surface Cl Na salt mobilization and/or halite dissolution. These findings clarify the effects of agricultural practices, groundwater-surface water interactions, and contaminant transport that will help guide future water management strategies. Such strategies could include over-pumping prevention to decrease vertical flow of deep, high saline water, and the use of flood irrigation alternatives, such as drip irrigation, that could prevent water-logging, reduce evaporation, and decrease irrigation return flow.

scholarworks - UTEP (The University of Texas at El Paso)
Clean water and sanitation
Openalex Percentile: Top 24%
Groundwater and Isotope Geochemistry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.