Editorial: Sustainable Municipal Solid Waste Management: A Local Issue with Global Impacts DOI Open Access
Hani Abu Qdais, Anna I. Kurbatova

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

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria DOI Open Access
Aissam Gaagai,

Hani Amir Aouissi,

Selma Bencedira

et al.

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

90

The Importance of Behavioral and Native Factors on COVID-19 Infection and Severity: Insights from a Preliminary Cross-Sectional Study DOI Open Access

Hani Amir Aouissi,

Mohamed Seif Allah Kechebar,

Mostefa Ababsa

et al.

Healthcare, 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

30

Air pollution and public health in Latin America and the Caribbean (LAC): a systematic review with meta-analysis DOI Creative Commons
Danladi Chiroma Husaini,

Kyle Reneau,

Daren Balam

et al.

Beni-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

19

Assessing municipal solid waste generation, management practices, and health impacts: towards sustainable waste management and environmental protection DOI
Fakhri Alam,

Muhammad Salam,

Bo Dong

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Language: Английский

Citations

0

Green transition management: The key role of community participation in developing resilient waste management policies for coastal and inland communities DOI
I Wayan Koko Suryawan, Chun‐Hung Lee

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

Citations

0

The missing link: circularity in urban design - a systematic review of circular paradigms for resilient and self-sustaining cities DOI Creative Commons

Sevgim Pekdemir,

Mirko Guaralda,

Mark Limb

et al.

Cities, Journal Year: 2025, Volume and Issue: 162, P. 106007 - 106007

Published: April 19, 2025

Language: Английский

Citations

0

Intelligent Waste-Volume Management Method in the Smart City Concept DOI Creative Commons
Khrystyna Lipianina-Honcharenko, Myroslav Komar,

Oleksandr Osolinskyi

et al.

Smart 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

6

Characterization, utility, and interrelationship of household organic waste generation in academic campus for the production of biogas and compost: a case study DOI
Pradeep Kumar Meena, Amit Pal,

Samsher Gautam

et al.

Environment Development and Sustainability, Journal Year: 2022, Volume and Issue: 26(1), P. 2687 - 2713

Published: Nov. 28, 2022

Language: Английский

Citations

9

Household Waste Control Index towards Sustainable Waste Management: A Study in Bekasi City, Indonesia DOI Open Access

Ferdinan,

Suyud Warno Utomo, Tri Edhi Budhi Soesilo

et al.

Sustainability, 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

8

Quality assessment using water quality indicators with geospatial analysis of groundwater quality El-Oued region, Northern Sahara, Algeria DOI Creative Commons
A. Ammari, Fadhila Fartas, Samir Kateb

et al.

Water 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

1