In November 2015, two iron ore tailing dams collapsed in the city of Mariana, Brazil. The dams' collapse generated a wave of approximately 50 million m 3 of a mixture of mining waste and water. It was a major environmental tragedy in Brazilian history, which damaged rivers, and cities 660 km away in the Doce River basin until it reached the ocean coast. Shortly after the incident, several reports informed that the concentration of metals in the water was above acceptable legal limits under Brazilian laws. Here the microbial communities in samples of water, mud, foam, and rhizosphere of Eichhornia from Doce River were analyzed for 16S and 18S rRNA-based amplicon sequencing, along with microbial isolation, chemical and mineralogical analyses. Samples were collected one month and thirteen months after the collapse. Prokaryotic communities from mud shifted drastically over time (33% Bray-Curtis similarity), while water samples were more similar (63% Bray-Curtis similarity) in the same period. After 12 months, mud samples remained with high levels of heavy metals and a reduction in the diversity of microeukaryotes was detected. Amoebozoans increased in mud samples, reaching 49% of microeukaryote abundance, with Discosea and Lobosa groups being the most abundant. The microbial communities’ structure in mud samples changed adapting to the new environment condition. The characterization of microbial communities and metal-tolerant organisms from such impacted environments is essential for understanding the ecological consequences of massive anthropogenic impacts and strategies for the restoration of contaminated sites such as the Doce River.
One of the most promising, cost-effective, and readily available technologies for reducing greenhouse gas emissions to the atmosphere is the capture and separation of CO 2 from large stationary sources and storage in geological formations. Storage security, especially in the early stages of operation, is mostly guaranteed by caprock formations with very low permeability overlying the reservoir, capable of containing the injected fluid. Chemical alterations of the formation brine, caused by CO 2 injection may cause dissolution and precipitation of secondary minerals, potentially increasing the risks of leakage from the reservoir. In order to evaluate these processes and their potential to induce the formation of leakage pathways in ultrafine fault gouges, a series of batch experiments was performed on crushed and sheared samples from three different caprock formations from Northern Europe (Sollingen, Röt and Opalinus claystones). The experiments were supported by numerical models of the kinetics of mineral dissolution and precipitation simulating the same experimental conditions, and over a longer time (10 000 years). Minor mineral alterations were observed after the batch experiments, the most important being: illite dissolution for the Opalinus and Röt formation samples, and dolomite dissolution and the transformation of illite and chlorite into kaolinite for the Sollingen sample.
The present work proposed the application of a multivariate regression model based on image data to monitor the decolorization process. Thus, a PLS regression based on the color histogram was applied to monitor the methylene blue degradation by the Fenton reaction. The results obtained by the digital imaging and UV-Vis methods were compared and the initial (C o) and final (C) methylene blue concentrations, as well as the kinetic parameters, coefficients of determination (R 2), half time degradation (t ½), intercept (ρ), and slope (σ), were evaluated. From our results, the digital imaging and UV-Vis methods have equivalent potential to monitor the color removal profile, similar kinetic term, and low measurement errors. While the coefficient of determination (R 2) of all PLS models and kinetics curves are close to 1.00, the half time degradation (t ½) parameter ranged between 0.29 to 1.39 min for the UV-Vis model, and 0.80 min to 2.17 min for the digital imaging model. Furthermore, the efficiency of methylene blue removal ranged between 92.04% and 97.78% for the UV-Vis model and 91.30% to 93.72% for the digital imaging model. Then, based on statistical comparison tests, it was concluded that the digital imaging method is an alternative to monitor dye degradation processes.
CO2 geological storage is one of the current technologies developed worldwide to reduce industrial emissions of carbon dioxide to the atmosphere. Two main mineral types of deep geological reservoir could be contemplated for CO2 storage: sandstone reservoirs and carbonaceous reservoirs. Geochemical reactivity of a dolomite-calcite mineral compound and magnesite pure mineral was studied with a set of nine experiments per crushed mineral phase with two saline solution and with mQ water and three temperatures: 50°C, 90°C and 150°C. Experiments were performed in batch reactors with 250 bar of CO2 partial pressure during 24h to assess the effect of temperature and salinity in constant CO2 pressure. Solid characterization was performed by XRD and solution analysis by ICP-OES. Acidification of solutions due to CO2 dissolution in water is the main source of reactivity in the system. Proton concentration increases and causes partial dissolution of initial dolomite, calcite and magnesite and release of Ca 2+ and Mg 2+ cations in solution. Bicarbonate anion (HCO3) concentration also increases due to CO2 dissolution in water and carbonate minerals dissolution. Temperatures of 90°C and 150ºC increase the kinetic of reaction and the dissolution of minerals and cations release in solution. New carbonate crystalline phase precipitates as a Ca, Mg solid solution between dolomite and calcite pure poles.
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