The solid waste accumulation patterns on Tamandaré beach, Pernambuco State (Brazil), was assessed from February 2001 to July 2002. This beach is easily accessible, frequently used, and there is a public cleaning service. The beach is under the influence of three small coastal drainage basins. The study visually divided the beach into 15 segments according to the level of solid waste contamination into absent (A), trace (B), unacceptable (C) and objectionable (D). The lowest levels of contamination were found at the middle part of the study area, the most vulnerable in respect to coastal erosion presenting numerous interventions on the beach, absence of native vegetation and lesser width. The highest levels of contamination were at the northern and southern ends of the area, where there are no developments, the beach morphology favours deposition of sediments, there is native vegetation and the beach is wider. The D level did not occur within the area.
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http://dx.doi.org/10.1016/j.wasman.2006.04.018 | DOI Listing |
Environ Res
January 2025
Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, 14155-6135, Tehran, Iran. Electronic address:
Per- and polyfluoroalkyl substances (PFAS) are present in a variety of products that are disposed in landfills as waste and end up in landfill leachate which cause severe problems. The primary aim of this study was to detect PFAS in generated leachate in different sections of a process and disposal complex (called Aradkuh) located in Tehran, Iran. Due to techno economic limitations of measuring PFAS in Iran and easiness of measuring physicochemical parameters to determine PFAS concentration as well as better understanding of the mechanisms of these substances releases from landfills, this research aimed to evaluate the potential relationship between these parameters in landfill leachate.
View Article and Find Full Text PDFWaste Manag
January 2025
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China. Electronic address:
The accumulation of construction solid waste (CSW) leads to the waste of land resources and environmental pollution, becoming a significant social problem. Identifying the amount of high-value CSW is essential for assessing the value of accumulated CSW and formulating appropriate recycling strategies. With the development of machine learning technology, CSW recognition techniques combining image acquisition devices and convolutional neural networks have been widely applied.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China; Key Laboratory of Solid Waste Treatment and Resource Recycle, Southwest University of Science and Technology, Mianyang 621010, China. Electronic address:
Soil cadmium (Cd) contamination is one of the major challenges in food production. This has led to above-maximum threshold accumulation of Cd in O. japonicus roots.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Chemical Engineering, Myongji University, Yongin 17058, Republic of Korea.
Liquid metals (LMs), i.e., metals and alloys that exist in a liquid state at room temperature, have recently attracted considerable attention owing to their electronic and rheological properties useful in various cutting-edge technologies.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Earth and Environmental Sciences, University of Illinois at Chicago, Chicago, IL, United States of America.
Municipal solid waste (MSW) landfills represent underexplored microbial ecosystems. Landfills contain variable amounts of antibiotic and construction and demolition (C&D) wastes, which have the potential to alter microbial metabolism due to biocidal or redox active components, and these effects are largely underexplored. To circumvent the challenge of MSW heterogeneity, we conducted a 65-day time series study on simulated MSW microcosms to assess microbiome changes using 16S rRNA sequencing in response to 1) Fe(OH)3 and 2) Na2SO4 to represent redox active components of C&D waste as well as 3) antibiotics.
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