Sustainability, Journal Year: 2022, Volume and Issue: 14(18), P. 11438 - 11438
Published: Sept. 13, 2022
On a global level, communities are generating and disposing of increasing quantities solid waste [...]
Language: Английский
Sustainability, Journal Year: 2022, Volume and Issue: 14(18), P. 11438 - 11438
Published: Sept. 13, 2022
On a global level, communities are generating and disposing of increasing quantities solid waste [...]
Language: Английский
Water, Journal Year: 2023, Volume and Issue: 15(2), P. 289 - 289
Published: Jan. 10, 2023
In order to evaluate and project the quality of groundwater utilized for irrigation in Sahara aquifer Algeria, this research employed water indices (IWQIs), artificial neural network (ANN) models, Gradient Boosting Regression (GBR), alongside multivariate statistical analysis a geographic information system (GIS), assess forecast used Algeria. Twenty-seven samples were examined using conventional analytical methods. The obtained physicochemical parameters collected showed that Ca2+ > Mg2+ Na+ K+, Cl− SO42− HCO3− NO3−, owing predominance limestone, sandstone, clay minerals under effects human activity, ion dissolution, rock weathering, exchange processes, which indicate Ca-Cl type. For evaluating water, IWQIs values such as index (IWQI), sodium adsorption ratio (SAR), Kelly (KI), percentage (Na%), permeability (PI), magnesium hazard (MH) mean 47.17, 1.88, 0.25, 19.96, 41.18, 27.87, respectively. instance, IWQI revealed 33% severely restricted irrigation, while 67% varied from moderate high restriction indicating crops are moderately highly hypersensitive salt should be watered soft soils without any compressed layers. Two-machine learning models applied, i.e., ANN GBR IWQI, model, surpassed model. findings ANN-2F had highest correlation between exceptional features, making it most accurate prediction example, model has two qualities critical prediction. outputs’ R2 training validation sets 0.973 (RMSE = 2.492) 0.958 2.175), Finally, application supported by GIS methods, machine learning, modeling is useful practical strategy development groundwater.
Language: Английский
Citations
90Healthcare, Journal Year: 2022, Volume and Issue: 10(7), P. 1341 - 1341
Published: July 19, 2022
The COVID-19 pandemic has had a major impact on global scale. Understanding the innate and lifestyle-related factors influencing rate severity of is important for making evidence-based recommendations. This cross-sectional study aims at establishing potential relationship between human characteristics vulnerability/resistance to SARS-CoV-2. We hypothesize that virus not same due cultural ethnic differences. A was performed using an online questionnaire. methodology included development multi-language survey, expert evaluation, data analysis. Data were collected 13-item pre-tested questionnaire based literature review 9 December 2020 21 July 2021. statistically analyzed logistic regression. For total 1125 respondents, 332 (29.5%) positive; among them, 130 (11.5%) required home-based treatment, 14 (1.2%) intensive care. significant most influential infection age, physical activity, health status (p < 0.05), i.e., better activity significantly reduced possibility infection, while older age increased it. negatively associated with acceptance (adherence respect) preventive measures positively tobacco smoking regularly increases infection. suggests importance behavioral compared ones. Apparently, individual behavior mainly responsible spread virus. Therefore, adopting healthy lifestyle scrupulously observing measures, including vaccination, would greatly limit probability prevent severe COVID-19.
Language: Английский
Citations
30Beni-Suef University Journal of Basic and Applied Sciences, Journal Year: 2022, Volume and Issue: 11(1)
Published: Sept. 30, 2022
Abstract Background Over the years, air pollution has garnered increased attention from researchers who continue to provide studies and suggestive data that prove there is an ever-increasing risk of on health humans, terrestrial, aquatic animals. A measurement involved in quantity certain traceable particles within air, namely: Particulate Matter (PM) 2.5 10, ozone (O 3 ), Nitrogen dioxide (NO 2 sulfur (SO carbon monoxide (CO) emissions, all converted Air Quality Index. Most are predominantly developed nations with limited research conducted developing such as those Latin America Caribbean. Main body In this systematic review, we examined impact public health. database search produced 1,118 studies, which four were selected for a quantitative meta-analysis explored hazard ratios concerning exposure elevated levels PM2.5. The results show PM2.5 increases adverse event by much 2% five days after exposure. Results also indicated consensus negative impacts suggest more can be done region combat or at very least minimize Conclusion pooled reviewed day every subsequent pattern exists between hospitalization due susceptibility respiratory infections asthma development. Combating harmful effects should top priority
Language: Английский
Citations
19Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: March 7, 2025
Language: Английский
Citations
0Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown
Published: March 11, 2025
Language: Английский
Citations
0Cities, Journal Year: 2025, Volume and Issue: 162, P. 106007 - 106007
Published: April 19, 2025
Language: Английский
Citations
0Smart Cities, Journal Year: 2023, Volume and Issue: 7(1), P. 78 - 98
Published: Dec. 29, 2023
This research paper proposes an innovative approach to urban waste management using intelligent methods of classification, clustering, and forecasting. The application this allows for more efficient contributes the sustainable development environment. aim is develop method management, which includes clustering sources, accurate forecasting volumes, evaluation forecast results. To achieve goal, a real dataset with city characteristics data was used. On account war in Ukraine, authors faced problem obtaining open on so it decided use from another (Singapore). results show high efficiency developed method. Comparison obtained nearest similar works shows that main feature study accuracy waste-volume XGBoost model, reached level up 98%.
Language: Английский
Citations
6Environment Development and Sustainability, Journal Year: 2022, Volume and Issue: 26(1), P. 2687 - 2713
Published: Nov. 28, 2022
Language: Английский
Citations
9Sustainability, Journal Year: 2022, Volume and Issue: 14(21), P. 14403 - 14403
Published: Nov. 3, 2022
Household waste is the most significant contributor to accumulation of in final processing area. Indonesia produces 65.2 million per year. Improper management practices require evaluation steps achieve sustainable management. This study aims formulate an instrument for implementation household using analysis Waste Control Index (HWCI) calculation. uses quantitative methods by collecting data from a survey 548 bank members spread across 12 districts Bekasi City and calculation Index. Based on results, it known that moderate category (5.86 out 10), governance at community level still needs be improved. Furthermore, based validation concluded control index can recommended as measure, evaluate, consider recommendations policies realize other areas have similar conditions City.
Language: Английский
Citations
8Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: 24(5), P. 1689 - 1713
Published: April 25, 2024
ABSTRACT The present study was carried out to assess groundwater quality in two layers (Albian and complex terminal) intended for irrigation, identify their original chemical composition overall risk by different attack techniques the province of El-Oued. Eleven physico-chemical parameters were measured at 16 locations. Emphasis placed on selection irrigation water index (IWQI) inputs through application multivariate statistical analysis, estimation various classical indices, integration geographic information systems. results IWQI, sodium adsorption ratio, Kelly index, permeability residual carbonate magnesium hazard showed that majority samples classified purposes following categories: severely restricted (100%), low excellent good (93.75%), marginally safe (100%) suitable (81.25%), respectively. In addition, selected as “good eligible irrigation” based %Na shown distribution map. Whereas principal component analysis show four factors together explain 72.74% total variance according Kaiser rule. Cluster divides into three groups. summary, combination system indices is useful identifying zones.
Language: Английский
Citations
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