Shallow marine sediments and fringing coral reefs of the Buyat-Ratototok district of North Sulawesi, Indonesia, are affected by submarine disposal of tailings from industrial gold mining and by small-scale gold mining using mercury amalgamation. Between-site variation in heavy metal concentrations in shallow marine sediments was partially reflected by trace element concentrations in reef coral skeletons from adjacent reefs. Corals skeletons recorded silicon, manganese, iron, copper, chromium, cobalt, antimony, thallium, and lead in different concentrations according to proximity to sources, but arsenic concentrations in corals were not significantly different among sites. Temporal analysis found that peak concentrations of arsenic and chromium generally coincided with peak concentrations of silica and/or copper, suggesting that most trace elements in the coral skeleton were incorporated into detrital siliciclastic sediments, rather than impurities within skeletal aragonite.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.marpolbul.2008.05.028DOI Listing

Publication Analysis

Top Keywords

gold mining
12
heavy metal
8
buyat-ratototok district
8
district north
8
north sulawesi
8
sulawesi indonesia
8
shallow marine
8
marine sediments
8
peak concentrations
8
concentrations
6

Similar Publications

The phosphorylation of nucleic acids mediated by 5'-polynucleotide kinase (PNK) exerts a crucial regulatory function in a wide range of significant cellular activities. Nevertheless, the current approaches for detecting PNK require expensive labeled probes and complex instrumentation, making it impossible to achieve real-time, on-site, and rapid analysis. Here, we take T4 PNK as a model and establish a novel colorimetric strategy for the detection of PNK activity and its inhibition by means of a coupled enzyme-assisted cyclic strand displacement amplification (SDA) and peptide nucleic acid (PNA)-gold nanoparticle (AuNP) based platform.

View Article and Find Full Text PDF

Risk Assessment of Mercury in Soil, Water, and Sediments Collected in a Region Impacted by Gold Mining.

ACS Omega

March 2025

Universidade Federal da Bahia, Instituto de Química, Campus Ondina, Salvador 40170-270, Bahia, Brazil.

This work reports the determination of mercury and the assessment of health risks in water, river sediments, and soil samples collected in the city of , Brazil, located in a region impacted by gold mining. The mercury determinations were performed using the direct method analyzer (DMA) method, which was carefully validated according to the IUPAC recommendations. Total mercury contents ranged from 0.

View Article and Find Full Text PDF

We investigated the bioaccumulation patterns of arsenic species in freshwater food webs from three lakes near historical mining operations in the Northwest Territories, Canada. Two of these lakes (Long Lake and Lower Martin Lake) were located within 5 km of the mine's roaster stacks, while a third lake (Small Lake), situated 27 km away, served as a far-field reference site. In each lake, we measured the concentrations of arsenic species, including As(III), As(V), MMA, DMA and organic arsenobetaine, AsB, across multiple environmental and biological compartments, including water, sediment, macrophytes, periphyton, phytoplankton, zooplankton, benthic invertebrates, and small- and large-bodied fish.

View Article and Find Full Text PDF

Anthropogenic activities exert significant pressures on the dynamics and health of dominant fish species in aquatic ecosystems. In this study, we evaluated how human activities impact the community structure, length-weight relationships, and condition factors of key fish species in a north-central Nigeria river. Sampling was conducted over 14 months across four sites with varying levels of disturbance: Zhabyala (minimal), Tunga Waya, Chanchaga, and Korokpan (severe).

View Article and Find Full Text PDF

A new approach to dilution prediction of underground mine gold using computing techniques.

An Acad Bras Cienc

March 2025

Universidade Federal de Ouro Preto, Departamento de Engenharia de Minas, Morro do Cruzeiro Campus, s/n, Bauxita, 35400-000 Ouro Preto, MG, Brazil.

Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian gold mine were analyzed, covering 70 chambers and 26 variables. Six key variables were identified through decision tree analysis, forming the basis of a predictive model using advanced soft computing techniques.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!