ArticleInternational journal of environmental research and public health2019
Potential Ecological Risk and Human Health Risk Assessment of Heavy Metal Pollution in Industrial Affected Soils by Coal Mining and Metallurgy in Ostrava, Czech Republic.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 182 citations in OpenAlex.
- Article
- Multiscale Source Apportionment of Heavy Metals in Mining-Affected Farmland Soils Using PCA-PMF Modeling.Toxics · 2026Article
- Review
- Article
- Evaluation of Potential Toxic Elements in Soils from Three Urban Areas Surrounding a Steel Industrial Zone.Toxics · 2025Article
- Health and ecological risk assessment of metals in surface water from the Himalayan tributaries of the Ganga river, India.Geochemical transactions · 2025Article
- Article
- Health risk assessment of heavy metals in arid soils of the Nile Delta, Egypt using GIS and multivariate statistical analyses.PloS one · 2025Article
- Major and Trace Airborne Elements and Ecological Risk Assessment: Georgia Moss Survey 2019-2023.Plants (Basel, Switzerland) · 2024Article
- Article
- Risk assessment and soil heavy metal contamination near marble processing plants (MPPs) in district Malakand, Pakistan.Scientific reports · 2024Article
- Assessment of Heavy Metal Contamination and Health Risks in "Snow Cover-Soil Cover-Vegetation System" of Urban and Rural Gardens of an Industrial City in Kazakhstan.International journal of environmental research and public health · 2024Article
- Assessment of potentially toxic and mineral elements in paddy soils and their uptake by rice (Heliyon · 2024Article
- Assessment of the ecological risk and mobility of arsenic and heavy metals in soils and mine tailings from the Carmina mine site (Asturias, NW Spain).Environmental geochemistry and health · 2024Article
- Distribution, Source, and Ecological Risk of Heavy Metals in Sewage Irrigation of Taiyuan, Shanxi Province, China.Toxics · 2024Article
- Spraying Zinc Sulfate to Reveal the Mechanism through the Glutathione Metabolic Pathway Regulates the Cadmium Tolerance of Seashore Paspalum (Plants (Basel, Switzerland) · 2023Article
- Article
- Associations between migraine and possible risk factors in the Czech Republic.Frontiers in neurology · 2023Article
- Health risk assessment of heavy metal pollution and its sources in agricultural soils near Hongfeng Lake in the mining area of Guizhou Province, China.Frontiers in public health · 2023Article
- Health and environmental impact assessment of landfill mining activities: A case study in Norfolk, UK.Heliyon · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The heavy metal pollution of soils has become serious environmental problem, mainly in localities with high industrialization and rapid growth. The purpose of this detailed research was to determine the actual status of heavy metal pollution of soils and an assessment of heavy metal pollution in a highly industrialized city, Ostrava, with a history of long-term impacts from the metallurgy industry and mining. The ecological risks to the area was subsequently also assessed. The heavy metals Cd, Hg, Cu, Mn, Pb, V, Zn, Cr and Fe were determined in top-soils (0-20 cm) using atomic absorption spectrometry (F AAS, GF AAS) from three areas with different anthropogenic loads. The obtained data expressed as mean metal concentrations were very varied among the sampled soils and values of all analyzed metal concentrations were higher than its background levels. To identify the ecological risk and assessment of soil pollution, various pollution indices were calculated, such as single pollution indices (I
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.