A Probabilistic Approach to the Nitrate Risk Assessment of Groundwater in Intensively Farmed Region of Southeast Türkiye

This study aims to assess the spatial distribution and health risk potential of nitrate (NO3−) contamination in groundwater resources of the Harran Plain, a semi-arid agricultural region in Southeastern Türkiye. Groundwater samples were collected from 20 locations during pre- and post-irrigation periods and analyzed for a range of hydrochemical parameters. A probabilistic risk assessment framework, based on the U.S. Environmental Protection Agency (USEPA) guidelines, was employed to evaluate non-carcinogenic health risks across different demographic groups. The integration of Geographic Information Systems (GIS), multivariate statistical analyses, and Monte Carlo simulation enabled a comprehensive evaluation of exposure scenarios and contributing factors. This research contributes to the scientific understanding of groundwater vulnerability in intensively farmed areas, provides a decision-support framework for water quality management, and emphasizes the importance of protecting sensitive populations in nitrate-affected regions.

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Publication Details

Journal
Applied Sciences
Published
2025-06-11
DOI
https://doi.org/10.3390/app15126575
Citations
2
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
2.67
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article

A Probabilistic Approach to the Nitrate Risk Assessment of Groundwater in Intensively Farmed Region of Southeast Türkiye

Benan Yazıcı Karabulut
2 citations
Applied Sciences
Groundwater and Isotope Geochemistry
2.67
article

A Probabilistic Approach to the Nitrate Risk Assessment of Groundwater in Intensively Farmed Region of Southeast Türkiye

Benan Yazıcı Karabulut
article en
2 citations

Abstract

This study aims to assess the spatial distribution and health risk potential of nitrate (NO3−) contamination in groundwater resources of the Harran Plain, a semi-arid agricultural region in Southeastern Türkiye. Groundwater samples were collected from 20 locations during pre- and post-irrigation periods and analyzed for a range of hydrochemical parameters. A probabilistic risk assessment framework, based on the U.S. Environmental Protection Agency (USEPA) guidelines, was employed to evaluate non-carcinogenic health risks across different demographic groups. The integration of Geographic Information Systems (GIS), multivariate statistical analyses, and Monte Carlo simulation enabled a comprehensive evaluation of exposure scenarios and contributing factors. This research contributes to the scientific understanding of groundwater vulnerability in intensively farmed areas, provides a decision-support framework for water quality management, and emphasizes the importance of protecting sensitive populations in nitrate-affected regions.

Applied SciencesVol. 15(12)
Harran University (TR)
Openalex Percentile: Top 11%
Groundwater and Isotope Geochemistry
2.67
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