The influence of gold mining activities on the water quality in the Mari catchment in Bétaré-Oya (East Cameroon) was assessed in this study. Sampling was performed within the period of one hydrological year (2015 to 2016), with 22 sampling sites consisting of groundwater (06) and surface water (16). In addition to measuring the physicochemical parameters, such as pH, electrical conductivity, alkalinity, turbidity, suspended solids and CN, eleven major elements (Na, K, Ca, Mg, NH, Cl, NO, HCO, SO, PO and F) and eight heavy metals (Pb, Zn, Cd, Fe, Cu, As, Mn and Cr) were also analyzed using conventional hydrochemical methods, Multivariate Statistical Analysis and the Heavy metal Pollution Index (HPI). The results showed that the water from Mari catchment and Lom River was acidic to basic (5.40
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http://dx.doi.org/10.1016/j.scitotenv.2017.08.080 | DOI Listing |
Sci Total Environ
January 2025
Chemistry Matters, Calgary, Canada; Mount Royal University, Calgary, Canada.
This review follows the PRISMA guidelines to provide a systematic review of 115 peer reviewed articles that used non-targeted analysis (NTA) methods to detect per- and polyfluoroalkylated substances (PFAS). This literature highlights the significant positive impact of NTA in understanding PFAS in the environment. Within the literature a geographical bias exists, with most NTA studies (∼60 %) conducted in the United States and China.
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January 2025
Department of Biological and Agricultural Engineering, University of Arkansas, United States of America. Electronic address:
The increasing global demand for meat and dairy products, fueled by rapid industrialization, has led to the expansion of Animal Feeding Operations (AFOs) in the United States (US). These operations, often found in clusters, generate large amounts of manure, posing a considerable risk to water quality due to the concentrated waste streams they produce. Accurately mapping AFOs is essential for effective environmental and disease management, yet many facilities remain undocumented due to variations in federal and state regulations.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
Guangzhou Ecological and Environmental Monitoring Center of Guangdong Province, Guangzhou 510030, China.
The long-term presence of antibiotics in the aquatic environment will affect ecology and human health. Techniques for determining antibiotics are often time-consuming, labor-intensive and costly, and it is desirable to seek new methods to achieve rapid prediction of antibiotics. Many scholars have shown the effectiveness of machine learning in water quality prediction, however, its effectiveness in predicting antibiotic concentrations in the aquatic environment remains inconclusive.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Institute of Chemical Technology, Vietnam Academy of Science and Technology, 1A TL29 Street, Thanh Loc Ward, District 12, HCM City, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Viet Nam. Electronic address:
Whole-cell bioreactors equipped with external physico-chemical sensors have gained attention for real-time toxicity monitoring. However, deploying these systems in practice is challenging due to potential interference from unknown wastewater constituents with liquid-contacted sensors. In this study, a novel approach using a bioreactor integrated with a non-dispersive infrared CO₂ sensor for both toxicity detection and real-time monitoring of microbial growth phases was successfully demonstrated.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
Water Quality Laboratory, National Water Research Institute of Malaysia (NAHRIM), Lot 5377, Jalan Putra Permai, Rizab Melayu Sungai Kuyoh, 43300 Seri Kembangan, Selangor, Malaysia.
Plastic pollution in aquatic ecosystems has become a critical global environmental challenge, threatening biodiversity, water quality, and human health. This study investigates macroplastics distribution and characterization in the highly polluted Klang River, Malaysia, and proposes a protocol to compute total macroplastic yield in the river basin. A total of 240 macroplastic items were collected over a 20-km stretch from the river mouth inland, with an average of 0.
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