Publications by authors named "Fedorova Irina Viktorovna"
Article Synopsis
- - As human activities increase, more heavy metals like chromium (Cr) are being released into wetlands and estuaries, where they stick to sediments and can later be re-released, leading to pollution.
- - Experiments showed that under different flow conditions, concentrations of particulate and dissolved Cr initially rise and later stabilize, especially with vegetation present, impacting how Cr is released from sediments.
- - The Elovich equation was the best model for predicting Cr release from sediments, and when adjusted for vegetation, it significantly improved accuracy, offering valuable insights for managing heavy metal pollution in aquatic ecosystems.
Article Synopsis
- Pollution from heavy metals in estuaries like the Yangtze River Estuary (YRE) poses risks to aquatic ecosystems and public health, particularly highlighted by high levels of arsenic (As) and cadmium (Cd).
- Field studies in 2021 showed that zinc (Zn) and arsenic (As) had the highest concentrations in water, while sediment analysis revealed similar trends, with Cd contributing significantly to ecological risks.
- A modified artificial neural network model was developed to predict heavy metal pollution more accurately, achieving a 95.1% accuracy rate, which can help in assessing and preventing future pollution in estuarine environments.
Article Synopsis
- The excessive use of antibiotics has caused a rise in microbial resistance, raising concerns about antibiotic resistance genes (ARGs) in aquatic environments, which threaten both ecological safety and human health.
- A study conducted on surface water from the Yangtze River Estuary found a significant presence of sulfonamide and tetracycline resistance genes, with substantial seasonal variations in their abundance.
- The accumulation of ARGs is linked to urban runoff and wastewater treatment discharges, with environmental factors and microbial communities identified as key contributors to the variation in ARGs.
Due to the degradation-resistant and strong toxicity, heavy metals pose a serious threat to the safety of water environment and aquatic ecology. Rapid acquisition and prediction of heavy metal concentrations are of paramount importance for water resource management and environmental preservation. In this study, heavy metal concentrations (Cr, Ni, Cu, Pb, Zn, Cd) and physicochemical parameters of water quality including Temperature (Temp), pH, Oxygen redox potential (ORP), Dissolved oxygen (DO), Electrical conductivity (EC), Electrical resistivity (RES), Total dissolved solids (TDS), Salinity (SAL), Cyanobacteria (BGA-PE), and turbidity (NTU) were measured at seven stations in the Yangtze river estuary.
View Article and Find Full Text PDFOccurrence of sulfonamides and tetracyclines in the coastal areas of the Yangtze River (China) Estuary.
Environ Sci Pollut Res Int
December 2023
Antibiotics have attracted global attention due to the ecological risks to environment. In this paper, solid-phase extraction and ultra-performance liquid chromatography triple quadrupole mass spectrometry (LC-MS/MS) were utilized to analyze the fugitive characteristics of 10 antibiotics of sulfonamides (sulfadiazine, sulfamethazine, sulfadimidine, sulfathiazole, sulfapyridine, sulfamethoxazole) and tetracyclines (tetracycline, oxytetracycline, chlortetracycline and doxycycline) in the coastal waters and surfece sediments of the Yangtze River Estuary and the ecological risks of antibiotics in water were estimated using ecological risk assessment method. The results have showed that 7 of the 10 antibiotics were detected in the water, with total concentrations ranging from 0.
View Article and Find Full Text PDFIn this paper, water and sediments were sampled at eight monitoring stations in the coastal areas of the Yangtze River Estuary in summer and autumn 2021. Two sulfonamide resistance genes (sul1 and sul2), six tetracycline resistance genes (tetM, tetC, tetX, tetA, tetO, and tetQ), one integrase gene (intI1), 16 S rRNA genes, and microbial communities were examined and analyzed. Most resistance genes showed relatively higher abundance in summer and lower abundance in autumn.
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