Rare earth elements determination and distribution patterns in surface marine sediments of the South China Sea by INAA, Malaysia
Autor: | Kh. Rezaee, Elias Saion, A. Khalik Wood, Mohammad Reza Abdi |
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Rok vydání: | 2009 |
Předmět: |
Health
Toxicology and Mutagenesis Public Health Environmental and Occupational Health Mineralogy Weathering Environmental pollution Sedimentation Spatial distribution Pollution Analytical Chemistry Coastal erosion Nuclear Energy and Engineering Erosion Environmental science Radiology Nuclear Medicine and imaging Water quality Neutron activation analysis Spectroscopy |
Zdroj: | Journal of Radioanalytical and Nuclear Chemistry. 283:823-829 |
ISSN: | 1588-2780 0236-5731 |
DOI: | 10.1007/s10967-009-0421-z |
Popis: | Results obtained from the analysis of sediments surface samples taken from rivers mouth and polluted marine environment were analyzed for REE contents to determine the concentrations of La, Ce, Sm, Eu, Tb, Dy, Lu and Yb using instrumental neutron activation analysis. Thirty surface samples were collected from ten sites in the coastal marine sediments of the South China Sea along 957 km stretch of the east coast of Peninsular Malaysia. The samples prepared in the powdered form before irradiating them in a neutron flux of ~4 × 1012 n cm−2 s−1 at 750 kW power using the TRIGA Mark II research reactor at Malaysian Institute for Nuclear Technology (MINT). Results of the total concentration are used to establish baseline data in environmental pollution assessment and to develop the correlations between the Ce/Ce* anomalies and the distribution patterns of some the light rare earth elements (LREEs) and the heavy rare earth elements (HREEs). The Chondrite-normalized REE pattern from each site examined and used to explain the sedimentation patterns by anthropogenic activities and by natural processes such as shoreline erosion, weathering deposits. Shale-normalized (NASC) patterns suggest enrichment of LREEs relative to the HREEs with a positive Ce/Ce* anomaly. Validation of the used method was done using a Soil-7 SRM. |
Databáze: | OpenAIRE |
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