Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products DOI Creative Commons
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis

et al.

Machine Learning with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 100615 - 100615

Published: Dec. 1, 2024

Language: Английский

Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data DOI Creative Commons
Calogero Schillaci, Simone Scarpa, Felipe Yunta

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 454, P. 117199 - 117199

Published: Feb. 1, 2025

Language: Английский

Citations

2

How the EU Soil Observatory is providing solid science for healthy soils DOI Creative Commons
Panos Panagos, Nils Broothaerts, Cristiano Ballabio

et al.

European Journal of Soil Science, Journal Year: 2024, Volume and Issue: 75(3)

Published: May 1, 2024

Abstract Healthy soils are essential for sustainable food production, achieving climate neutrality and halting the loss of biodiversity. The European Commission turned spotlights on these vital aspects with launch EU Soil Observatory (EUSO) in 2021 to support Green Deal. Also, Strategy 2030 proposed Monitoring Law marked a major milestone soil protection. This article provides an overview functioning EUSO within this policy context. Through its activities, supports EU‐wide monitoring system wide range areas. Moreover, monitors state health through Health Dashboard. comprehensive easy understandable tool shows, first time, where current scientific evidence converges indicate areas likely be affected by degradation. Furthermore, research innovation, enhances capacity functionality Data Centre citizen engagements regarding matters. Overall, since 2021, has successfully taken up role principal knowledge hub information data underpin development implementation. Also next years, will continue provide monitor, safeguard restore EU.

Language: Английский

Citations

12

Prediction of soil arsenic concentration in European soils: a dimensionality reduction and ensemble learning approach DOI Creative Commons
Mohammad Sadegh Barkhordari, Chongchong Qi

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: 17, P. 100604 - 100604

Published: Jan. 15, 2025

Language: Английский

Citations

1

Prediction of Zinc, Cadmium, and Arsenic in European Soils Using Multi-End Machine Learning Models DOI
Mohammad Sadegh Barkhordari, Chongchong Qi

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 490, P. 137800 - 137800

Published: March 3, 2025

Language: Английский

Citations

1

Genetic Damage and Multi-Elemental Exposure in Populations in Proximity to Artisanal and Small-Scale Gold (ASGM) Mining Areas in North Colombia DOI Creative Commons
Pedro Espitia-Pérez, Lyda Espitia-Pérez, Ana Peñata-Taborda

et al.

Toxics, Journal Year: 2025, Volume and Issue: 13(3), P. 202 - 202

Published: March 11, 2025

This study evaluates DNA damage and multi-element exposure in populations from La Mojana, a region of North Colombia heavily impacted by artisanal small-scale gold mining (ASGM). markers the cytokinesis-block micronucleus cytome (CBMN-Cyt) assay, including micronucleated binucleated cells (MNBN), nuclear buds (NBUDs) nucleoplasmic bridges (NPB), were assessed 71 exposed individuals 37 unexposed participants. Exposed had significantly higher MNBN frequencies (PR = 1.26, 95% CI: 1.02–1.57, p 0.039). Principal Component Analysis (PCA) identified “Soil-Derived Mining-Associated Elements” (PC1), V, Fe, Al, Co, Ba, Se Mn, as being strongly associated with high population 10.45, 9.75–12.18, < 0.001). GAMLSS modeling revealed non-linear effects PC1, greater increases at concentrations, especially individuals. These results highlight dual role essential toxic elements, low concentrations potentially protective but increasing genotoxicity. Women consistently exhibited than men, suggesting sex-specific susceptibilities. highlights compounded risks chronic metal mining-impacted regions underscores urgent need for targeted interventions to mitigate genotoxic vulnerable populations.

Language: Английский

Citations

0

Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning DOI
Renjie Zhang, Lai Jiang,

Tianhao Dong

et al.

Environmental Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0

The degree of soil arsenic background enrichment by carbonate weathering is mainly controlled by climate in large spatial scale DOI
Xueqi Xia, Junfeng Ji, Chaosheng Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175868 - 175868

Published: Aug. 28, 2024

Language: Английский

Citations

3

Phytomanagement of a metal-contaminated agricultural soil with Sorghum bicolor, humic / fulvic acids and arbuscular mycorrhizal fungi near the former Pb/Zn metaleurop Nord smelter DOI
Felix Ofori-Agyemang,

Aritz Burges,

Christophe Waterlot

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142624 - 142624

Published: June 16, 2024

Language: Английский

Citations

2

Ecological risk assessment of heavy metals from application of sewage sludge on agricultural soils in Europe DOI Creative Commons
Felipe Yunta, Calogero Schillaci, Panos Panagos

et al.

European Journal of Soil Science, Journal Year: 2024, Volume and Issue: 75(5)

Published: Sept. 1, 2024

Abstract The present European Union (EU) Sewage Sludge Directive (86/278/EEC) is undergoing modifications aimed at enhancing its applicability in the agricultural sector. Directive's existing limit values for heavy metal concentrations soils are process of being revised. However, to comprehensively understand their effects on EU lands, additional evaluations necessary. This particularly important given that ecological risk assessments often performed a site‐specific basis, potentially overlooking broader regional implications. main objective current work introduce methodological approach quantify impact sewage sludge (SS) application and United Kingdom. Concentrations metals (HMs) (Cd, Cu, Hg, Ni, Pb Zn) land from Land Use/Land Cover Area Frame Survey (LUCAS) 2009 topsoil database were used as baseline. Maximum quantities SS can be safely applied lands obtained by modeling procedure was determine maximum safe each country within Member States Accumulation HMs modelled using representative composition, distributed over 10 successive years 5 Mg ha −1 year rate. Ecological assessed both single index (E r ) integrated potential (RI). + UK estimated 45 level. We found 19% (around 28,471,900 ha) shows higher RI than moderate after long time SS. show combination HM LUCAS survey assumptions composition soil partitioning define actual pollution rate UK. demonstrate proposed methodology policymakers, farmers, authorities other stakeholders, with possible adaptions based local in‐depth knowledge.

Language: Английский

Citations

1

Exploring Environmental Risk in Soils: Leveraging Open Data for Non-Sampling Assessment? DOI Creative Commons
Silvia Aparisi-Navarro, María Moncho Santonja, Beatriz Defez

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 11(1), P. e41247 - e41247

Published: Dec. 15, 2024

Language: Английский

Citations

1