Environmental Science and Pollution Research International This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Data-driven sustainability evaluation and manufacturing system enhancement from economic, environmental, social, and sustainability perspectives
Environ Sci Pollut Res Int. 2024 Apr 29. doi: 10.1007/s11356-024-33463-y. Online ahead of print.ABSTRACTSustainable manufacturing is crucial to achieving carbon neutrality targets. However, research on the sustainability of manufacturing systems is limited, and high consumption, low efficiency, and high emissions have resulted in high resource consumption and rapid environmental degradation. Therefore, it is of great importance to establish an evaluation and improvement indicator system conducive to sustainable development. To this end, this study developed a data-driven methodology for evaluating and enhancing the sustain...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Xiaoxiao Si Cuixia Zhang Cui Wang Fan Liu Conghu Liu Source Type: research

A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models
This study showed that RBF performed the best and sigmoid showed the least accuracy for GA, PSO, and ACO algorithms. The performance of KNN is evaluated in terms of accuracies by varying the K-values. It was found that KNN shows low accuracy with a small K-value which then attained a maximum level by increasing K-values, and it finally started decreasing, explicitly, by further enhancing K-values. While comparing the performance of hybrids of GA, PSO, and ACO with SVM and KNN, it was analyzed that KNN performed better with these meta-heuristics with PSO-KNN which performed the best among the baseline models. Thus, the stud...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Javeria Sarwar Saud Ahmed Khan Muhammad Azmat Faridoon Khan Source Type: research

Sustainable synthesis of spongy-like porous carbon for supercapacitive energy storage systems towards pollution control
In this study, the fruit of Terminalia chebula, commonly known as chebulic myrobalan, is used as the precursor for carbon for its application in supercapacitors. The Terminalia chebula biomass-derived sponge-like porous carbon (TC-SPC) is synthesized using a facile and economical method of pyrolysis. TC-SPC thus obtained is subjected to XRD, FESEM, TEM, HRTEM, XPS, Raman spectroscopy, ATR-FTIR, and nitrogen adsorption-desorption analyses for their structural and chemical composition. The examination revealed that TC-SPC has a crystalline nature and a mesoporous and microporous structure accompanied by a disordered carbon f...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Somasundaram Chandra Kishore Suguna Perumal Raji Atchudan Thomas Nesakumar Jebakumar Immanuel Edison Ashok Kumar Sundramoorthy Devaraj Manoj Muthulakshmi Alagan Raju Suresh Kumar Abdulrahman Ibrahim Almansour Sambasivam Sangaraju Yong Rok Lee Source Type: research

Validation of a modified QuEChERS method for the quantification of residues of currently used pesticides in Cuban agricultural soils, using gas chromatography tandem mass spectrometry
We present an analytical method to detect and quantify residues of currently used pesticides (CUPs), which include 31 active ingredients (ai) and seven transformation products (TPs) in tropical and agricultural soils of Cuba. Ten isotopically labeled analogous compounds served as internal standards (IL-IS). The novelty of this research is the inclusion of different tropical soils type scarcely studied for CUPs and TPs, based on the QuEChERS (quick, easy, cheap, effective, rugged and safe) method, followed by chromatography tandem mass spectrometry. All figures of merit proved to be satisfactory according to SANTE guideline...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Brizeidi Pe ña Dayana Sosa Isabel Hilber Arturo Escobar Thomas Daniel Bucheli Source Type: research

Characteristics of hydrogen energy yield in steam gasification of coffee residues
Environ Sci Pollut Res Int. 2024 Apr 30. doi: 10.1007/s11356-024-33499-0. Online ahead of print.ABSTRACTCoffee residues (CRs) were gasified using a laboratory-scale fluidized bed gasifier with an air/steam mixture as the carrier gas. The gasification was conducted at an equivalence ratio (ER) of 0.3, and different operation temperatures (700, 800, and 900 °C) and steam-to-biomass (S/B) ratios (0, 0.75, and 1.5) were applied. Increasing temperature without steam boosted H2 and CO concentrations in producer gas, raising lower heating value (LHV) and cold gas efficiency (CGE) through endothermic reactions like Boudouard, tar...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Dan-Kai Liang Samikannu Prabu Kung-Yuh Chiang Source Type: research

Characteristics, sources, and improvement measures regarding fine particulate matter in subway station office and the VAC system
Environ Sci Pollut Res Int. 2024 Apr 30. doi: 10.1007/s11356-024-33357-z. Online ahead of print.ABSTRACTIn order to study the characteristics and transport path of PM2.5 in the subway station office, three different types of typical subway station were selected for sampling and analysis. The PM2.5 of mechanical air duct and VAC (ventilation and air conditioning system) were tested simultaneously. Both the particulate matter in the station office and VAC exhibit highly enriched characteristics of metal elements. The mass balance equation with elemental Fe as the tracer element is established firstly in subway station, and t...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Chunwang Wang Xiaofeng Li Source Type: research

Bidirectional machine learning-assisted sensitivity-based stochastic searching approach for groundwater DNAPL source characterization
In this study, we designed a machine learning-based parallel global searching method using the Bayesian inversion framework for efficient identification of dense non-aqueous phase liquid (DNAPL) source characteristics and contaminant transport parameters in groundwater. Swarm intelligence organized hybrid-kernel extreme learning machine (SIO-HKELM) was proposed to approximate the forward and inverse input-output correlation with a high accuracy using the DNAPL transport numerical simulation model. An adaptive inverse-HKELM was established for preliminary estimation of the source characteristics and contaminant transport pa...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Zeyu Hou Yingzi Lin Tongzhe Liu Wenxi Lu Source Type: research

Assessment and mapping of noise pollution in recreation spaces using geostatistic method after COVID-19 lockdown in Turkey
In conclusion, regions exposed to intense noise pollution were identified and strategic planning recommendations were developed to prevent/reduce noise sources in these identified regions.PMID:38684610 | DOI:10.1007/s11356-024-33434-3 (Source: Environmental Science and Pollution Research International)
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Rifat Olgun Nihat Karaku ş Serdar Selim Buket Eyileten Source Type: research

Enhancing photocatalytic wastewater treatment: investigating the promising applications of nickel ferrite and its novel nanocomposites
Environ Sci Pollut Res Int. 2024 Apr 29. doi: 10.1007/s11356-024-33502-8. Online ahead of print.ABSTRACTWater contamination ranks highest among the challenges posed by the rapidly increasing environmental contamination, which is thought to be the most pressing issue globally. The development of innovative techniques for the successful removal of diverse types of undesirable pollutants from wastewater would therefore yield a huge return on investment. Nowadays, the removal of many organic and synthetic pollutants from the environmental matrix is anticipated to be possible by photocatalytic degradation, owing to its low ener...
Source: Environmental Science and Pollution Research International - April 29, 2024 Category: Environmental Health Authors: Bendi Anjaneyulu Vishaka Chauhan None Chinmay Mozhgan Afshari Source Type: research

Remediation of diesel contaminated soil by using activated persulfate with Fe < sub > 3 < /sub > O < sub > 4 < /sub > magnetic nanoparticles: effect and mechanisms
In this study, Fe3O4 magnetic nanoparticles (Fe3O4 MNPs) were assessed for their ability to enhance the activity of persulfate (PS). Various controlling factors including PS dosages, initial pH, water-soil ratio, ratio of Fe2+, and Fe3O4 MNPs to PS were considered in both the Fe2+/PS system and the Fe3O4 MNPs/PS system. Results showed that the Fe3O4 MNP-activated PS system exhibited high processing efficiency owing to the gradual release of Fe2+. This process occurred in a wide pH range (5-11), attributed to the synergistic action of sulfate radicals (SO4-·) and hydroxyl radicals (OH·) under alkaline conditions, effectiv...
Source: Environmental Science and Pollution Research International - April 28, 2024 Category: Environmental Health Authors: Yong-Tao Li Qin Sui Xi Li Xin-Yue Liu Hao Liu Yu-Qin Wang Wan-Ying Du Source Type: research

Groundwater salinization risk assessment using combined artificial intelligence models
Environ Sci Pollut Res Int. 2024 Apr 28. doi: 10.1007/s11356-024-33469-6. Online ahead of print.ABSTRACTAssessing the risk of groundwater contamination is of crucial importance for the management of water resources, particularly in arid regions such as Menzel Habib (south-eastern Tunisia). The aim of this research is to create and validate artificial intelligence models based on the original DRASTIC vulnerability methodology to explain groundwater salinization risk (GSR). To this end, several algorithms, such as artificial neural networks (ANN), support vector regression (SVR), and multiple linear regression (MLR), were ap...
Source: Environmental Science and Pollution Research International - April 28, 2024 Category: Environmental Health Authors: Oussama Dhaoui Isabel Margarida Antunes Ines Benhenda Belgacem Agoubi Adel Kharroubi Source Type: research

Synergistic interaction of co-exposure to humidifier disinfectant chemicals CMIT/MIT and PHMG in lung injury
In this study, we aimed to investigate associations of a mixture of chloromethylisothiazolinone/methylisothiazolinone (CMIT/MIT) and polyhexamethylene guanidine (PHMG), which had been used as humidifier disinfectants (HDs) in South Korea, with HD-associated lung injury (HDLI) in a Korean population (n = 4058) with HD exposure through use of HD products. Exposure to HD was retrospectively assessed by an interview-based standardized survey, and HDLI was determined by clinical assessment. After adjusting for covariates, PHMG-specific exposure indices (e.g., amount of use, indoor air concentration, and weekly exposure level) w...
Source: Environmental Science and Pollution Research International - April 27, 2024 Category: Environmental Health Authors: Habyeong Kang Seula Lee Eun-Kyung Jo Wonho Yang Yoon-Hyeong Choi Source Type: research

Black soldier fly larvae mitigate greenhouse gas emissions from domestic biodegradable waste by recycling carbon and nitrogen and reconstructing microbial communities
Environ Sci Pollut Res Int. 2024 Apr 27. doi: 10.1007/s11356-024-33308-8. Online ahead of print.ABSTRACTBlack soldier fly larvae have been proven to reduce greenhouse gas emissions in the treatment of organic waste. However, the microbial mechanisms involved have not been fully understood. The current study mainly examined the dynamic changes of carbon and nitrogen, greenhouse gas emissions, the succession of microbial community structure, and changes in functional gene abundance in organic waste under larvae treatment and non-aeration composting. Thirty percent carbon and 55% nitrogen in the organic waste supplied were st...
Source: Environmental Science and Pollution Research International - April 27, 2024 Category: Environmental Health Authors: FangMing Xiang LuYing Han ShuoYun Jiang XinHua Xu ZhiJian Zhang Source Type: research