Assessing heavy metal contamination in agricultural soils: a new GIS-based Probabilistic Pollution Index (PPI) – case study: Guarda Region, Portugal

Annals of GIS, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 14, 2025

Soil contamination by heavy metals is a global agricultural problem, as these elements can be absorbed plants and transferred to humans through the food pathway. Current assessment methods rely on in situ sample collection, which restricts evaluation process due number of samples that analysed associated costs. This study addresses need for more efficient cost-effective approach identifying areas at risk metal without logistical constraints physical sampling. To meet this challenge, we developed new Probabilistic Pollution Index (PPI), calculated integrating GIS tools with an 8-parameter probability-risk matrix identify potentially contaminated metals. The factors considered included roads, industrial sites, pH levels, soil organic matter content, terrain slope, texture, mining areas, drainage. Each parameter was classified reclassified produce map, categorizing each pixel into five levels risk. test PPI, data analysis, classification, reclassification were applied district Guarda, Portugal. PPI map revealed central portion Guarda municipality, along specific zones Celorico da Beira, Sabugal, Mêda, Pinhel, exhibited high-probability contamination. Given expanse within enhanced monitoring recommended Vila Nova de Foz Côa. index provides scalable, cost-effective, easily replicable tool potential hotspots sources processes Designed first-line method large-scale assessments, it supports governmental decision-making facilitates targeted mitigation strategies low-cost approach.

Language: Английский

Sorption and mobility assessment of tembotrione in soils of upper, trans and middle Gangetic plain zones of India

Biomedical Chromatography, Journal Year: 2024, Volume and Issue: 38(8)

Published: June 17, 2024

Abstract The presence of undesired agrochemicals residues in soil and water poses risks to both human health the environment. behavior pesticides depends on physico‐chemical properties type. This study examined adsorption–desorption leaching maize herbicide tembotrione soils upper (UGPZ), trans (TGPZ) middle Gangetic plain zones India. Soil samples were extracted using acetone followed by partitioning with dichloromethane, whereas liquid–liquid extraction dichloromethane was used for aqueous samples. Residues its metabolite TCMBA, {2‐chloro‐4‐(methylsulfonyl)‐3‐[(2,2,2‐trifluoroethoxy) methyl] benzoic acid}, quantified liquid chromatography–tandem mass spectrometry. data revealed that adsorption decreased increasing pH dissolved organic matter but increased salinity. maximum occurred at 4, 0.01 m sodium citrate 4 g/L NaCl, corresponding Freundlich constants 1.83, 2.28 3.32, respectively. hysteresis index <1 indicated faster than desorption. Leaching studies under different flow conditions least mobility UGPZ high TGPZ soil, consistent groundwater ubiquity scores 4.27 4.81, amendments order: unamended > wheat straw ash farm yard manure compost. transformation TCMBA columns also assessed.

Language: Английский

A Prediction Model for Agricultural Soils Potentially Contaminated by Heavy Metals, Combining GIS Tools and a Probability-Risk Matrix: The Case Study of Guarda Region (Portugal)

Published: Jan. 1, 2023

Soil contamination by heavy metals is a global agricultural problem, as these elements can be absorbed plants and passed on to humans beings through the food pathway.In this paper, new predictive model integrating GIS tools with probability-risk matrix for identification of areas potentially contaminated presented.The district Guarda in Portugal was used develop methodology. Data analysis, parameter classification, reclassification were conducted using open-source software QGIS. Eight parameters incorporated risk evaluation: roads, industrial sites, pH levels, soil organic matter content, terrain slope, texture, mining areas, drainage. As result, conclusive map (Final Risk Score) pinpointing potential regions susceptible metal created.The revealed that central portion municipality, along specific zones Celorico da Beira, Sabugal, Mêda, Pinhel, exhibit higher relative compared other regions. Given expanse within each enhanced monitoring levels recommended Vila Nova de Foz Côa. In subsequent studies, additional calculations such Nemerow Pollution Index, Contamination Degree, Factor, Integrated Quotient should integrated thoroughly assess risks human health.The has proved cost-effective identify not only but also sources processes contamination. Therefore, it could assist government agencies establish decision mechanisms act minimization means low-cost procedure.

Language: Английский