scholarly journals First long-term assessment of metals and associated ecological risk in subtidal sediments of a human-impacted SW Atlantic estuary

2022 ◽  
Vol 174 ◽  
pp. 113235
Author(s):  
D.M. Truchet ◽  
N.S. Buzzi ◽  
V.L. Negrin ◽  
S.E. Botté ◽  
J.E. Marcovecchio
Keyword(s):  
Ecological Risk ◽  
Sw Atlantic

scholarly journals Application of Pollution Indices for Evaluation of Long-Term Accumulation of Heavy Metals in Lake Modrac in Bosnia and Hercegovina

2017 ◽  
Vol 14 (3-4) ◽  
Author(s):  
Nusreta Djonlagic
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Water Body ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Indices ◽  
Geo Accumulation

In this study the results of a 15-year long monitoring survey on heavy metals in water at Lake Modrac were assessed using pollution indices of heavy metals, such as Heavy metal pollution index HPI, Heavy metal evaluation index HEI and the Degree of contamination CD. The results of the survey on heavy metal pollution of sediment conducted in 2015 were used as input data for the following pollution indices: Concentration factor , Pollution load index PLI, Enrichment factor EF, Index of geo-accumulation Igeo, Ecological risk factor , Potential ecological risk index to the water-body, RI. The results showed a good correlation and the lake sediment was characterized as polluted. Enrichment factors and indices of geo-accumulation of heavy metals were indicated as very high enriched in the sediment, and have been identified as an anthropogenic source of pollution. Cumulative presence in the sediment is assessed through the pollution index, RI, and has been assessed as moderate ecological risk to the lake water-body. The application of pollution indices presents a valuable tool in assessing the long-term pollution status of Lake Modrac.

Reef Larval Recruitment in Response to Seascape Dynamics in the SW Atlantic

2021 ◽  
Author(s):  
Ana Carolina Azevedo Mazzuco ◽  
Angelo Fraga Bernardino
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Satellite Observation ◽  
Benthic Assemblages ◽  
Larval Recruitment ◽  
Habitat Classification ◽  
High Nutrient ◽  
Pelagic Habitat ◽  
Sw Atlantic

Abstract Advances in satellite observation have improved our capacity to track changes in the ocean and seascapes with numerous ecological and conservation applications, but yet under explored for coastal ecology. In this study, we assessed dynamics in the Seascape Pelagic Habitat Classification, a satellite remote-sensing product developed by NOAA to monitor biodiversity globally, and invertebrate larval recruitment in order to identify and predict changes in coastal benthic assemblages at tropical reefs in the SW Atlantic. Our results revealed that pelagic Seascapes correlated with monthly and seasonal variations in recruitment rates and assemblage composition. Recruitment was strongly influenced by subtropical Seascapes and was reduced during warm, blooms, and high-nutrient waters, likely to affect reef communities in the long term. Modeling indicate that Seascapes may be more efficient than temperature in predicting benthic larval dynamics. Based on historical Seascape patterns, we identified seven events that may have impacted benthic recruitment in this region in the last decades, which not surprisingly, coincided with consistent global heatwaves. These findings provide new insights into the application of novel satellite remote-sensing Seascape categorizations in benthic ecology and evidenced how reef larval supply in the SW Atlantic could be impacted by recent and future ocean changes.

Long-term assessment of ecological risk from deposition of elemental pollutants in the vicinity of the industrial area of Puchuncaví-Ventanas, central Chile

2015 ◽  
Vol 527-528 ◽  
pp. 335-343 ◽  
Author(s):  
Soroush Salmanighabeshi ◽  
M.Rosario Palomo-Marín ◽  
Elena Bernalte ◽  
Fernando Rueda-Holgado ◽  
Conrado Miró-Rodríguez ◽  
...  
Keyword(s):  
Ecological Risk ◽  
Industrial Area ◽  
Central Chile

scholarly journals Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbso Kaifeng, China

2021 ◽  
Author(s):  
Bingyan Jin ◽  
Jinling Wang ◽  
Wei Lou ◽  
Liren Wang ◽  
Jinlong Xu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Ecological Risk Index ◽  
Industrial Activities ◽  
Geo Accumulation

Abstract Rivers in urban environments are significant components of their ecosystems but remain under threat of pollution from unchecked discharges of industrial sewage and domestic wastewater. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate, that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd > Zn > Cu > Pb > Ni > As > Cr. The potential ecological risk index of the Huafei river is very high, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in the Huafei River and its surrounding areas.

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