Global rise in electric vehicle adoption has prompted the rapid expansion of the lithium-ion battery (LIB) manufacturing and recycling industry. Many emerging classes of per- and polyfluoroalkyl substances (PFASs) have been incorporated into the LIB. However, the potential for PFAS emissions to the environment during the manufacturing and recycling processes of the LIB remains poorly understood. In

The occurrence of contamination of emerging concerns (CECs) has turned into a significant challenge. In the present study, the elimination of Cefixime from the aquatic media was optimized. The ultrasonic method, combined through α-hematite nanoparticles, was studied using the response surface methodology (RSM). In this examination, various factors were evaluated to determine their impact, including

4-Nitrophenol (4-NP), a toxic and persistent pollutant in chemical wastewater, presents significant challenges in degradation and mineralization. Conventional ozone-oxidation catalysts are hindered by low efficiency, mass transfer constraints and metal leaching, necessitating the development of stable and efficient catalysts. Herein, the Bi-MOF/g-C3N4/MS composite materials were prepared by the solvothermal

Nowadays, renewable and clean energy sources, such as hydrogen, play a key role in the development of societies. Hydrogen can be stored in various ways, like the electrochemical approach. Hydrogen stands out as a promising clean-burning fuel for future energy systems. However, its relatively low volumetric energy density at ambient conditions has made it challenging to optimize its storage and use

The Muskingum model (MM) is widely used for flood routing due to its simplicity and low cost. In the Muskingum method, parameters are determined based on flood data measured by upstream and downstream hydrometric stations. During the next flood event, based on the hydrograph of the inflow to the river basin and the parameters of the Muskingum model of the previous flood, the hydrograph of the outflow

The growing adoption of computer-aided design (CAD) and computer-aided manufacturing (CAM) technologies in the dental industry has led to increase production of zirconia waste powder (ZWP), generated during the milling process of dental prostheses. Efficient recycling and processing of ZWP are essential to recover valuable metals and mitigate environmental impacts. This study examines the separation

This study discusses numerically the gyrating flow of a hybrid nanofluid comprising carbon nanotube nanoparticles on a stretched sheet employing a porous medium. To create a hybrid nanofluid mixture, single-walled and multi-walled carbon nanotube nanoparticles are mixed with water. The sheet’s surface is subject to velocity slip and convective conditions. The effects of Joule heating, Brownian motion

Water is essential for life on Earth. Desalination may reduce water shortages by turning salty water into drinkable water. We study a solar desalination process that combines a humidifier and a dehumidifier. The present work measures solar HDH desalination distinctively using an air-pressurized humidifier. This humidification technique employs an air-pressurized humidifier to increase water droplet

Maintaining high-quality drinking water supply reservoirs is important for protecting public health. Despite extensive watershed protection efforts, reservoirs can still experience seasonal, elevated total coliform bacteria concentrations, indicator bacteria commonly used for regulations. This study aimed to understand associations between concentrations of total coliform and an array of water quality

Chlorine is the principal microbial disinfectant used for water treatment. However, chlorine-resistant bacteria such as Mycobacterium spp., can survive chlorine treatment and even grow in the presence of chlorine, posing potential public health risks. In this study, we isolated a Mycobacterium sp. strain from treated effluent and investigated its chlorine resistance and recovery using transcriptomic

Wastewater-based epidemiology (WBE) can provide critical early warnings to aid public health, which can be particularly beneficial in rural communities with limited access to health care. Spikes of SARS-CoV-2 RNA concentration in wastewater have been used to represent infections in a community, but wastewater holds a wealth of information that has not been explored yet. The objectives of this research

Microplastic has become a major focus in environmental research, particularly in rivers. Despite numerous studies, there are no standardized methods available, neither for sampling nor for quantification, leading to significant differences in reported loads of microplastic. This study focused on assessing microplastic loads for polypropylene, polyethylene, polystyrene and poly(vinyl chloride) in the

Sustainable material selection is essential for minimizing environmental impact, resource depletion, and energy consumption in construction. We propose a hybrid fuzzy AHP-TOPSIS model to evaluate and rank four material alternatives based on nine sustainability criteria across three environmental, economic, and social dimensions. Fuzzy AHP determines criteria weights based on expert judgments, while

Globally, the contamination of aquatic systems and wastewater by dyes is highlighted as a critical concern for human beings. Therefore, it is necessary to construct novel heterostructure photocatalysts with broadened light absorption range and enhanced charge transfer rates. The primary objective of this research is to achieve the NiMnFeO4 phases through an auto-combustion route with exploring various

This letter is in response to the comments of Prof. Tianming Huang on “Tracking nitrate and sulfate sources in groundwater of an urbanized valley using a multi-tracer approach combined with a Bayesian isotope mixing model” (Torres-Martínez et al., 2020). We appreciate Prof. Huang’s insightful comments, his interest in our work, and his thorough analysis. We also acknowledge his constructive feedback

Leak detection is crucial for the healthy operation of water pipelines and efficient water resource conservation. However, traditional acoustic signal-based leak detection methods for water pipelines often capture only shallow or incomplete features, resulting in suboptimal accuracy in identifying leaks of varying severity. To address this limitation, we propose a water pipeline leak detection method