Source apportionment of some heavy metals in metropolitan and nearby agricultural soils using the multivariate statistical technique and kriging in the North of Iran DOI
Nazanin Khakipour

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(17)

Published: Aug. 29, 2024

Language: Английский

Pollution and ecological risk assessment of heavy metals in anthropogenically-affected soils of Sudan: A systematic review and meta-analysis DOI Creative Commons

Magboul M.S. Siddig,

Stephen Boahen Asabere, Abdullah S. Al-Farraj

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100601 - 100601

Published: Jan. 1, 2025

Language: Английский

Citations

1

Comprehensive Health and Environmental Risk Assessment of Zanjan Lead-Zinc Hydrometallurgy Tailings DOI Creative Commons
Hamed Biglari, Seyyed Mohammad Mousavi, Kamyar Yaghmaeian

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105160 - 105160

Published: April 1, 2025

Language: Английский

Citations

0

Spatial Distribution and Trend Analysis of Groundwater Contaminants Using the ArcGIS Geostatistical Analysis (Kriging) Algorithm; The case of Gurage Zone, Ethiopia DOI Creative Commons

Abel Amsalu Ayalew,

Moges Tariku Tegenu

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract The study explores the spatial distribution and trends of groundwater pollutants focusing on calcium four other key water quality parameters in Gurage Zone, Ethiopia, 2024. It uses ArcGIS geostatistical analysis tool with Kriging algorithm to map analyze variability contaminants. primary aim is identify areas high levels understand patterns. identifies contamination hotspots associated natural processes human activities. Twenty-seven samples were collected from various sites, like calcium, total dissolved solids, hardness, conductivity, alkalinity measured. findings show that contaminants varies significantly across different areas, some exceeding safe drinking limits. reveals southern region has highest concentration, shallow local boreholes. deeper wells have higher conductivity. trend shows increased pollutant along X Y axes. model effectively predicted unsampled offering a reliable technique aimed at monitoring. provides important insights for authorities implement interventions protection Zone.

Language: Английский

Citations

1

Source apportionment of some heavy metals in metropolitan and nearby agricultural soils using the multivariate statistical technique and kriging in the North of Iran DOI
Nazanin Khakipour

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(17)

Published: Aug. 29, 2024

Language: Английский

Citations

0