ArticleScientific reports2025
Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Temporal dynamics outweigh spatial gradients in shaping water quality across a regulated Afrotropical reservoir cascade.Environmental monitoring and assessment · 2026Article
- Interpretable machine learning for river salinity dynamics in arid basins.Scientific reports · 2026Article
- Pollution and health risk assessment of drinking water sources within artisanal and small-scale gold mining areas: a case of Asankrangwa District in Ghana.Environmental science and pollution research international · 2026Article
- Deep learning framework for mapping nitrate pollution in coastal aquifers under land use pressure.Scientific reports · 2025Article
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5 authors.
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Abstract
Water quality management is a critical aspect of environmental sustainability, particularly in arid and semi-arid regions such as Iran where water scarcity is compounded by quality degradation. This study delves into the causal relationships influencing water quality, focusing on Total Dissolved Solids (TDS) as a primary indicator in the Karkheh River, southwest Iran. Utilizing a comprehensive dataset spanning 50 years (1968-2018), this research integrates Machine Learning (ML) techniques to examine correlations and infer causality among multiple parameters, including flow rate (Q), Sodium (Na
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