The association of arsenic metabolism with cancer, cardiovascular disease, and diabetes: a systematic review of the epidemiological evidence

CC Kuo, KA Moon, SL Wang, E Silbergeld… - Environmental …, 2017 - ehp.niehs.nih.gov
Background: The available evidence on the role of arsenic metabolism in individual
susceptibility to the development of cancer, cardiovascular disease, and diabetes has not …

[图书][B] Using geochemical data: to understand geological processes

HR Rollinson, H Rollinson, V Pease - 2021 - books.google.com
This textbook is a complete rewrite, and expansion of Hugh Rollinson's highly successful
1993 book Using Geochemical Data: Evaluation, Presentation, Interpretation. Rollinson and …

Concentration-concentration fractal modelling: a novel insight for correlation between variables in response to changes in the underlying controlling geological …

B Sadeghi - Ore Geology Reviews, 2021 - Elsevier
Fractal/multifractal classification models applied to regional geochemical data are typically
based on relationships between geochemical concentrations and mathematical, statistical or …

Effects of COVID-19 era on a subtropical river basin in Bangladesh: Heavy metal (loid) s distribution, sources and probable human health risks

MAB Siddique, MS Islam, MM Ali, C Tokatli… - Science of the Total …, 2023 - Elsevier
The COVID-19 era has profoundly affected everyday human life, the environment, and
freshwater ecosystems worldwide. Despite the numerous influences, a strict COVID-19 …

Geodetector based identification of influencing factors on spatial distribution patterns of heavy metals in soil: A case in the upper reaches of the Yangtze River, China

Y Qiao, X Wang, Z Han, M Tian, Q Wang, H Wu… - Applied Geochemistry, 2022 - Elsevier
With the acceleration of urbanization and industrialization, soil heavy metal pollution has
become a serious problem threatening ecological security. Identification of influencing …

Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran

A Bigdeli, A Maghsoudi, R Ghezelbash - Journal of Geochemical …, 2022 - Elsevier
In this paper, in order to reveal the regional geochemical patterns of regularly sampled
stream sediment data, we have employed the K-means and self-organizing map (SOM) as …

State-of-the-art analysis of geochemical data for mineral exploration

EC Grunsky, P Caritat - Geochemistry: Exploration, Environment …, 2020 - lyellcollection.org
Multi-element geochemical surveys of rocks, soils, stream/lake/floodplain sediments and
regolith are typically carried out at continental, regional and local scales. The chemistry of …

Improved enrichment factor calculations through principal component analysis: Examples from soils near breccia pipe uranium mines, Arizona, USA

CR Bern, K Walton-Day, DL Naftz - Environmental pollution, 2019 - Elsevier
The enrichment factor (EF) is a widely used metric for determining how much the presence
of an element in a sampling media has increased relative to average natural abundance …

[HTML][HTML] Geochemistry and contamination of sediments and water in rivers affected by the rupture of tailings dams (Brumadinho, Brazil)

FAL Pacheco, RF do Valle Junior, MMAP de Melo… - Applied …, 2023 - Elsevier
Understanding the geochemistry and contamination of rivers affected by the rupture of
tailings dams is paramount to emergency water resources management. This needs the …

Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique

N Khorshidi, M Parsa, DR Lentz, J Sobhanverdi - Applied Geochemistry, 2021 - Elsevier
This study intends to (i) identify the potential sources of heavy metal (HM) pollution in an
industrial town situated in the northwestern part of Iran and (ii) and assess whether the …