ArticleEnvironmental geochemistry and health2020
Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station.
Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Spatial distribution of elements, environmental effects, and economic potential of waste from the Aksu ferroalloy plant [Kazakhstan].PloS one · 2023Article
- Methods to determine the affinity of heavy metals for the chemically extracted carrier phases in soils.Environmental geochemistry and health · 2022Article
- Application of XAFS and XRD methods for describing the copper and zinc adsorption characteristics in hydromorphic soils.Environmental geochemistry and health · 2022Article
- Environmental and human health risk assessment of potentially toxic elements in soils around the largest coal-fired power station in Southern Russia.Environmental geochemistry and health · 2021Article
- Sustainability of agricultural and wild cereals to aerotechnogenic exposure.Environmental geochemistry and health · 2021Article
- Soil contamination and human health: part 3.Environmental geochemistry and health · 2020Article
- Soil contamination and human health: Part 1-preface.Environmental geochemistry and health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (n = 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu-Pb, Ni-Cu, Cd-Ni, Cd-Cu (r ≥ 0.7, p < 0.001). The concentration coefficient (Kc) and the total pollution coefficient (Zc) were used to estimate anthropogenic pollution. The use of generalized additive model (GAM) to detect the dependence of HM distribution on factors revealed the significance of the source distance. The influence of wind rhumb on HM distribution has a complex nonlinear nature. A GAM shows a good performance for all data sets: R
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