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, Год журнала: 2024, Номер 83(17)

Опубликована: Авг. 29, 2024

Язык: 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

и другие.

Journal of Hazardous Materials Advances, Год журнала: 2025, Номер unknown, С. 100601 - 100601

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

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

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105160 - 105160

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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), Год журнала: 2024, Номер unknown

Опубликована: Окт. 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.

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 83(17)

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

0