Mapping of metals contamination in coastal sediments around the world in the last decades: A bibliometric analysis and systematic review.

The quality of coastal sediments contaminated by metals has been discussed for decades worldwide. However, there is a lack of information on the current situation and trends in this research field. For this reason, this is the first study to present an integrated analysis of bibliometric mapping and systematic review, using the Scopus database. The subject has grown exponentially, with a notable increase in citations and predicted increases for the coming years. The Chinese Academy of Sciences and Chinese authors were highlighted. The main areas of study were the Yellow Sea, Adriatic Sea and Persian Gulf. The main metals related were Cu, Pb, Zn, Cr and Cd, linked to anthropogenic sources such as agriculture, domestic sewage and mining and industry activities. The IGEO proved to be the main index for assessing pollution. This research is useful for pointing out the needs of future research, supporting the development of this topic.

Using hydrodynamic and water quality variables to assess eutrophication in a tropical hydroelectric reservoir.

Few studies have examined the influence of reservoir hydrodynamics on the water quality of its limnological zones. In this study, the relationships between the operational phases and the water quality of the limnological zones were assessed for the Amazonian reservoir Tucuruí. Limnological zones were clustered by means of an artificial neural network technique, and inputs used were water quality variables, measured at twelve stations between 2006 and 2016. Generalized Linear Models (GLMs) were then used to identify the influence of the operational phases of the reservoir on the water quality of its limnological zones. The GLM with a gamma-distributed response variable indicated that Chlorophyll-a concentrations in the riverine and transitional zones differed notably from those observed in the lacustrine zone. Chlorophyll-a concentrations were significantly lower during the operational falling water phase than in the low water phase (p < 0.05). The GLM with an inverse Gaussian-distributed response variable indicated that Secchi depth was significantly lower in the riverine than in the lacustrine limnological zone (p < 0.05). Our results suggest that more eutrophic conditions occur during the operational rising water phase, and that the area most vulnerable to eutrophication is the transitional zone. We demonstrate that the use of GLMs is suitable for determining areas and operational phases most vulnerable to eutrophication. We envisage that this information will be useful to decision-makers when monitoring the water quality of hydroelectric reservoirs with dendritic patterns and dynamic operational phases.