Dataset-Based Assessment of Heavy Metals Pollution in Taihu Lake Fish and Their Health Risk

The ecological risks and health hazards of heavy metals pollution in Taihu Lake have received widespread concern. This study has developed a nationwide dataset on pollutant loads in species, and the dataset records 55,297 data from 310 articles, covering 778 species and 537 pollutants. In this paper, we extract and systematically integrate data on heavy metals concentrations in Taihu fish from the dataset. The Pi (single pollution index) and MPI (metal pollution index) models were used to assess the level of contamination in fish and the THQ (target hazard quotient) and ILCR (incremental lifetime cancer risk) models were used to assess the health hazards of fish consumption. The contamination levels varied in a feeding habit and living habit dependent manner. The risk of non-cancer health is the highest in omnivorous fish, then in carnivorous fish and herbivorous fish. ILCR model predicted that the values of As and Cd in omnivorous fish for children exceeded the risk threshold limits set by the EPA, and the ILCR values of As in omnivorous fish and Cd in carnivorous fish for adults also exceeded the risk threshold limits. In all, this study provided a comprehensive understanding of the risk of heavy metals in Taihu.

Radioactivity, Metals Pollution and Mineralogy Assessment of a Beach Stretch from the Ionian Coast of Calabria (Southern Italy)

In the present article, a case study is reported regarding an investigation carried out in order to assess radioactivity concentration, heavy metals pollution and mineralogy of a beach stretch extending from Soverato to Squillace municipalities of the Ionian coast of Calabria, South of Italy, a popular tourist destination, especially in summer. The analysis of radionuclides contents was performed by using a High Purity Germanium (HPGe) gamma-ray detector, in order to quantify the average specific activity of 226Ra, 232Th and 40K natural radionuclides and 137Cs anthropogenic radioisotope. The absorbed dose rate and the annual effective dose equivalent radiological hazard indices were also estimated. Furthermore, X-ray Fluorescence (XRF) spectrometry measurements were carried out for the quantitative elemental analysis of the sand, in order to investigate any possible chemical pollution by heavy metals. For this aim, different indices such as Enrichment Factor (EF), Geoaccumulation Index (Igeo), Contamination Factor (CF) and Pollution Load Index (PLI) were applied to estimate the level of toxicity imposed on the ecosystem by the detected heavy metals. Finally, in order to identify the crystalline mineral components of the investigated sand samples, X-ray Diffraction (XRD) and Micro-Raman Scattering (MRS) measurements were carried out.