Investigation of a new model combining solar tower and a spherical solar still for water distillation DOI Creative Commons
Saad Eddin Lachhab,

Hafsa Diyagh,

Azzeddin Boukharta

et al.

Oxford Open Climate Change, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Abstract This paper presents a hybrid system using solar tower and tubular energy for desalination. Total radiation (dqspher) was calculated MATLAB algorithms, encoding 3x4 matrix temperature, pressure, air saturation transfer within the glass globe. The results are supported by latest data published in literature. Between angle 0° 35°, rate of dqspher exceeded 689,546 Kw/m2 5 hours. Desalinated water reached 4.2 L/m2 at 76.63%. encouraging promote application this technology desalination, ensuring efficiency, environmental friendliness affordability.

Language: Английский

Removal of toxic heavy metals from aquatic systems using low-cost and sustainable biochar: A review DOI Creative Commons
Kosar Hikmat Hama Aziz

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 320, P. 100757 - 100757

Published: Sept. 7, 2024

Language: Английский

Citations

22

Microplastic characterization and assessment of removal efficiency in an urban and industrial wastewater treatment plant with submarine emission discharge DOI

Sara Hajji,

Mohamed Ben-Haddad, Mohamed Rida Abelouah

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 945, P. 174115 - 174115

Published: June 20, 2024

Language: Английский

Citations

11

Critical review of green microalgal biomass development through CO2 sequestration DOI
Khadija El-Moustaqim, Salah Eddine Sbai, Jamal Mabrouki

et al.

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: May 22, 2024

Language: Английский

Citations

4

MarocFarm DOI

M'Barka El Mouedden,

Driss Azdem, Jamal Mabrouki

et al.

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 137 - 152

Published: Feb. 13, 2025

Agriculture, the cornerstone of sustenance for over a billion people, faces substantial challenges in meeting food demands growing global population projected to reach nearly 10 by 2050. The need increase agricultural production 70% is compounded decreasing arable land, labor shortages, and environmental such as droughts, floods, soil degradation, pests, diseases. Modernizing agriculture through advanced technologies like IoT, AI, cloud computing, edge fog 5G critical optimizing crop quality quantity. In Morocco, sector transitioning more digital intelligent model with initiatives MarocFarm, which integrates various tools aid farmers. This research project examines impact these on Moroccan agriculture, proposing solutions current future

Language: Английский

Citations

0

Morphological Characteristics and Identification of Phytophthora Species Causing Gummosis and Root Rot of Citrus in Morocco DOI

Boudoudou Dalal,

Allal Douira, Hamid Benyahia

et al.

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 161 - 178

Published: Feb. 13, 2025

the persistence of diseases such as gummosis and root rot, mainly caused by Phytophthora spp. species, notably P. parasitica citrophthora. These result in symptoms leaf wilting, reduced growth, rot. However, a detailed characterization species involved these their distribution is necessary for implementation effective control. The aim study to characterize associated with rot citrus Morocco, well select most resistant rootstocks replace Sou orange, often used Moroccan orchards. Fourteen isolates were identified Significant differences observed mycelial growth sporulation potential among culture media used. Isolates also showed variability pathogenicity, some displaying high strong aggressiveness on leaves branches rootstocks. Sour orange appears be relatively resistant, while Citrange C35

Language: Английский

Citations

0

The Use of Artificial Intelligence in a Desalination Plant Powered by Renewable Energy DOI
Driss Azdem, Jamal Mabrouki, Souad El Hajjaji

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 81 - 94

Published: Feb. 28, 2025

Artificial intelligence (AI) is increasingly utilized in seawater desalination, offering superior efficiency and precision. This chapter examines AI's role renewable energy-powered focusing on energy prediction, site selection, technology optimization, parameter tuning. Traditional reliance experience linear models falls short addressing modern challenges. AI, through tools like neural networks genetic algorithms, excels solving nonlinear, multi-objective problems. Applications such as predictive modeling, expert decision-making enhance efficiency, reduce costs, minimize human intervention. Integrated with sources solar wind, AI-driven systems address variability, improve resource use, lower environmental impacts. highlights the advantages of AI sustainable water management explores its future potential saltwater desalination.

Language: Английский

Citations

0

Assessment of trace element contamination and associated health risks in agricultural soils of the Beni Moussa Sub-Perimeter, Morocco DOI
El Hassania El Hamzaoui, Mohamed El Baghdadi, Abdessamad Hilali

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 24, 2025

Language: Английский

Citations

0

Distribution and Comprehensive Risk Evaluation of Cr, Cd, Fe, Zn, and Pb from Al Lith Coastal Seawater, Saudi Arabia DOI Open Access
Talal Alharbi, Abdelbaset S. El‐Sorogy, Khaled Al‐Kahtany

et al.

Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1923 - 1923

Published: July 5, 2024

Seawater contamination is a global challenge due to its hazardous effects on marine organisms and human health. Twenty-three surface seawater samples were collected from the Al Lith intertidal area along Saudi Red Sea coast evaluate ecological risks document potential sources of Cr, Cd, Fe, Zn, Pb. Contamination factor (CF), degree (Cd), water quality index (WQI), heavy metal pollution (HPI), as well multivariate tools applied. The average concentrations HMs (μg/L) had following order: Zn (6.616) > Pb (0.284) Cd Cr (0.268) Fe (0.197). CF results showed moderate with low However, 26.09% considerable Cd. Average values revealed HMs, while 17.39% contamination. HPI indicated medium seawater, 13 reported high pollution. higher in characterized by particularly Zn. Correlation matrix principal component analysis suggested anthropogenic for mostly industrial agricultural effluents, landfilling, domestic wastewater, apart their natural sources.

Language: Английский

Citations

3

Assessing ecological and health risks of potentially toxic elements in marine and beach sediments of Tangier Bay, Southwestern Mediterranean sea DOI
Ayoub Simou, Otmane Sarti, Bahia Abdelfattah

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 209, P. 117234 - 117234

Published: Nov. 9, 2024

Language: Английский

Citations

3

Distribution and Comprehensive Risk Evaluation of Cr, CD, Fe, Zn, and Pb from Al Lith Coastal Seawater, Saudi Arabia DOI Open Access
Talal Alharbi, Abdelbaset S. El‐Sorogy, Khaled Al‐Kahtany

et al.

Published: June 4, 2024

Seawater contamination is a global challenge due to its hazardous effects on marine organisms and human health. Twenty-three surface seawater samples were collected from Al Lith intertidal area along the Saudi Red Sea coast evaluate ecological risks document potential sources of Cr, Cd, Fe, Zn, Pb. Contamination factor (CF), degree (Cd), water quality index (WQI), heavy metal pollution (HPI), as well multivariate tools applied. The averages HMs (μg/L) had following order: Zn (6.616) > Pb (0.284) Cd Cr (0.268) Fe (0.197). Results CF showed moderate with low for However, 26.09% considerable Cd. Average values revealed HMs, while 17.39% contamination. HPI average indicated medium seawater, meanwhile 13 reported high pollution. higher in characterized by concentration particularly Zn. Correlation matrix principal component analysis suggested anthropogenic mostly industrial agricultural effluents, landfilling domestic wastewaters, apart their natural sources.

Language: Английский

Citations

1