Unveiling Nitrate Contamination and Health Risks: Insights from Groundwater Quality Assessment and Monte Carlo Simulation along the Southern Caspian Sea Coasts

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101340 - 101340

Published: Sept. 12, 2024

Language: Английский

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Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122616 - 122616

Published: Sept. 25, 2024

Language: Английский

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Research on the traceability and treatment of nitrate pollution in groundwater: a comprehensive review

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(4)

Published: March 7, 2025

Language: Английский

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Unlocking the Potential of Tracer Technology as a Tool for Quantifying Fertilizer Use Efficiency

Journal of Plant Nutrition and Soil Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

ABSTRACT With the increase in global population, importance of efficient use fertilizer will become essential, and development innovative effective efficiency (FUE) strategies is a need hour. However, injudicious leads to nutrient losses environmental pollution. Several technologies have been developed improve crop production uptake from applied fertilizers, including balanced fertilization, foliar application, mixed controlled‐release slow‐release nano‐fertilizers. To quantify several indicators are being used such as efficiency, agronomic partial factor productivity. Isotope tracer studies proven useful measuring soil availability, quantifying by plants through nutrients derived fertilizer, monitoring environment, establishing transport accumulation inside plants. Results stable isotopes 15 N, 13 C, 34 S radioisotopes 32 P 65 Zn accurately measure potential crops their partitioning efficiency. Radioisotope demonstrated that application can be faster more than for some crops, offering promising approach improving FUE. Despite its potentiality, research has many challenges, ensuring target concentrations within analytical method ranges, accounting isotopic interference non‐target compounds, limited access specialized equipment measurement errors. overcome these constraints, advanced study methodology integration with sensor‐based detection must augment site‐specific management precision agriculture. Continued collaborations valuable exploiting full technology different optimizing dose boost yields sustainably, thereby contributing food security sustainability.

Language: Английский

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Groundwater quality assessment in urban parts of Vellore city, India: Focusing on Nitrogen Species contamination and its health risk analysis

Cleaner Engineering and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100945 - 100945

Published: March 1, 2025

Language: Английский

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Groundwater Nitrate Contamination and its Effect on Human Health: A Review

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 25, 2025

Language: Английский

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Explainable Artificial Intelligence integrated with Machine learning operations to predict the nitrate concentrations in Groundwater

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Groundwater is a commodity we depend on for diverse needs, and maintaining its quality must be considered vital. We Machine Learning (ML) operations Explainable Artificial Intelligence (XAI) to predict the nitrate concentration levels in groundwater of India years 2019 2023. The variables used this study are Latitude, Longitude, pH, EC, CO3, HCO3, Cl, SO4, PO4, TH, Ca, Mg, Na, K, F, TDS, SiO2, NO3 dataset Fe, As, U, 2023 dataset. prepared GIS surface maps using interpolation supported by Empirical Bayesian Kriging method. investigated model efficiency feature importance presence absence location attributes. 19 ML models filtered Light Gradient Boosting (LightGBM) Liner Regression (LR) that exhibited relatively better accuracy. first trained these fed them XAI via SHAP (SHapley Additive exPlanations), which was dependent game theory. obtained 28.23% 24.88% increase accuracy when comparing datasets with attributes, respectively. also observed 28.3% without attribute used. conclude can integrated improve prediction studies.

Language: Английский

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Land Use Patterns and River Nitrate Dynamics in Karst Regions: Insights from High-Resolution Sentinel-2 Imagery and Partial Least Squares Structural Equation Modeling Analysis

Environmental Engineering Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

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Rubber plantation impacts on antibiotic resistance genes in tropical groundwater

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102458 - 102458

Published: May 9, 2025

Language: Английский

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Hydrochemical insights of groundwater for drinking, agriculture and potential nitrate threats in a part of Western India

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(15)

Published: July 1, 2024

Language: Английский

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