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The growing interest in recovering resources from old dumpsites has greatly accelerated the adoption of landfill mining (LFM) in recent years. This study focuses on assessing the quality of materials recovered from diverse legacy waste dumpsites using a strata-based approach. The method involved waste characterization, elemental analysis, physico-chemical characterization, heavy metals analysis and correlation analysis to assess the potential of solid waste samples collected from all three layers. Results revealed intriguing patterns in waste composition, with an increase in soil like fractions with depth and percentage of single-use plastic was almost same in all layers. Elemental analysis revealed variations in nitrogen, carbon, hydrogen and sulphur content across different layers, showcasing the heterogeneity of legacy. There was a small variation in the percentage of carbon in the first two layers, indicating high potential for use as fuel in the form of refuse-derived fuels. Significant changes were observed in layer 3, indicating it is best suited for landfill gas collection. Similar trends were observed for other elements. The presence of nitrogen-rich content indicates the potential for ammonia production, whereas hydrogen-rich materials suggest the possibility of generating hydrogen gas. Sulphur-rich waste holds promise for contributing to sulphur dioxide production. Correlation analysis was performed to maximize resource recovery while minimizing environmental risks.
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http://dx.doi.org/10.1177/0734242X251336587 | DOI Listing |
Waste Manag Res
May 2025
CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, MH, India.
The growing interest in recovering resources from old dumpsites has greatly accelerated the adoption of landfill mining (LFM) in recent years. This study focuses on assessing the quality of materials recovered from diverse legacy waste dumpsites using a strata-based approach. The method involved waste characterization, elemental analysis, physico-chemical characterization, heavy metals analysis and correlation analysis to assess the potential of solid waste samples collected from all three layers.
View Article and Find Full Text PDFSci Rep
January 2025
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Huainan, 232001, Anhui, China.
To delve into the adaptability of the full section SBM boring process during its inaugural application, this paper innovatively put forward an adaptability evaluation model for the SBM shaft boring within composite deep strata. This model is with the degree of adaptability T as the quantitative criterion. Initially, the evaluation index system of SBM boring adaptability is established.
View Article and Find Full Text PDFPediatr Crit Care Med
June 2024
Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL.
Objectives: Identification of children with sepsis-associated multiple organ dysfunction syndrome (MODS) at risk for poor outcomes remains a challenge. We sought to the determine reproducibility of the data-driven "persistent hypoxemia, encephalopathy, and shock" (PHES) phenotype and determine its association with inflammatory and endothelial biomarkers, as well as biomarker-based pediatric risk strata.
Design: We retrained and validated a random forest classifier using organ dysfunction subscores in the 2012-2018 electronic health record (EHR) dataset used to derive the PHES phenotype.
Interact J Med Res
February 2024
Virtual Labs, Corvallis, OR, United States.
BMC Med Res Methodol
February 2024
MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Background: Mendelian randomization is a popular method for causal inference with observational data that uses genetic variants as instrumental variables. Similarly to a randomized trial, a standard Mendelian randomization analysis estimates the population-averaged effect of an exposure on an outcome. Dividing the population into subgroups can reveal effect heterogeneity to inform who would most benefit from intervention on the exposure.
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