Progress in Analysis of Elements in Water Environment and Pollution Process Control

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Environmental and Green Processes".

Deadline for manuscript submissions: 15 November 2026 | Viewed by 2382

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Guest Editor
High Energy Physics, Astrophysics and Geosciences Laboratory, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
Interests: green chemistry; groundwater hydrology; hydrogeology; water resources management; contaminant transport in groundwater; groundwater modeling; surface–groundwater interaction; hydrological modeling; watershed management; climate change impacts on water resources; aquifer characterization; water quality assessment; environmental geochemistry; sustainable water management; GIS and remote sensing in hydrology; flood risk assessment; sustainable chemical processes

Special Issue Information

Dear Colleagues,

Water environmental pollution has become a major concern due to increasing anthropogenic activities and rapid urbanization. Contaminants from industrial discharge, agricultural runoff, and domestic waste pose significant threats to water quality, impacting both surface water and groundwater resources. Understanding and mitigating these challenges require innovative and interdisciplinary approaches.

Recent advancements in artificial intelligence, numerical modeling, and hydrogeochemical analysis have provided powerful tools for assessing and predicting water pollution dynamics. Techniques such as machine learning, remote sensing, and isotopic tracers enhance our ability to identify contamination sources, model pollutant transport, and develop effective remediation strategies.

This Special Issue aims to bring together cutting-edge research focusing on the assessment, prediction, and mitigation of water environmental pollution. We invite contributions that explore the integration of artificial intelligence, hydrogeochemical analysis, isotope hydrology, and multi-scale modeling to address emerging challenges in water quality management.

Dr. Otman El Mountassir
Guest Editor

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Keywords

  • water pollution assessment and remediation
  • artificial intelligence in water pollution monitoring
  • hydrological and hydrogeochemical modeling of contaminants
  • groundwater contamination and sustainable management
  • isotope hydrology for tracing pollution sources
  • machine learning applications in water quality prediction
  • remote sensing for water pollution detection
  • emerging pollutants in aquatic systems
  • decision support systems for water pollution control

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Published Papers (2 papers)

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Research

24 pages, 2534 KB  
Article
Brine Discharge from Desalination Plants: Environmental Contaminants, Pollution Control Processes and Mitigation Strategies
by Elmahdi Belhadj, Cherif Rezzoug and Youcef Benmoussa
Processes 2026, 14(15), 2391; https://doi.org/10.3390/pr14152391 - 24 Jul 2026
Viewed by 157
Abstract
Desalination is an urgent response to global freshwater shortages, serving more than 300 million people by 2025. However, it is a technology that still raises several sustainability concerns. Through this study, we aim to propose a systematic review based on the PRISMA methodology, [...] Read more.
Desalination is an urgent response to global freshwater shortages, serving more than 300 million people by 2025. However, it is a technology that still raises several sustainability concerns. Through this study, we aim to propose a systematic review based on the PRISMA methodology, analyzing 45 studies published between 2015 and 2026. Quantitative synthesis of 45 studies showed brine salinity ranging from 40 to 75 g/L, boron and bromate concentrations of 1.8 mg/L and 25 µg/L, respectively, and energy consumption of 3–5 kWh/m3 for membrane systems, reaching 15 kWh/m3 for thermal technologies. Economically, the levelized cost of desalinated water remains high (USD 0.5–2.0/m3) due to the high energy consumption of up to 15 kWh/m3 in thermal processes. This study proposes several mitigation strategies, including diffuser optimization, integration of renewable energies, and brine recovery through the extraction of strategic minerals. The originality of this study lies in its integrated approach, combining health, environmental, energy, and economic dimensions, all addressed together in previous reviews. These results demonstrate the need for regional governance and consistent international standards to achieve sustainable water desalination that combines water security and ecosystem conservation. Full article
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29 pages, 4176 KB  
Article
Distinct Pollution Profiles and Spatio-Temporal Dynamics in Adjacent Ramsar Lakes (Algeria): An Integrated Assessment and High-Resolution Mapping for Targeted Conservation
by Ines Houhamdi, Leila Bouaguel, Laid Bouchaala, Nedjoud Grara, Mouslim Bara, Agnieszka Szparaga and Moussa Houhamdi
Processes 2025, 13(11), 3466; https://doi.org/10.3390/pr13113466 - 28 Oct 2025
Cited by 1 | Viewed by 1540
Abstract
This study provides the first integrated spatio-temporal assessment of water quality in Lakes Tonga and Oubeira, two adjacent Ramsar-designated wetlands within El Kala National Park (Algeria). The objective was to identify major pollution sources and inform targeted conservation strategies. Physico-chemical, microbiological, and heavy [...] Read more.
This study provides the first integrated spatio-temporal assessment of water quality in Lakes Tonga and Oubeira, two adjacent Ramsar-designated wetlands within El Kala National Park (Algeria). The objective was to identify major pollution sources and inform targeted conservation strategies. Physico-chemical, microbiological, and heavy metal analyses were performed on water samples collected monthly over one year (September 2022–August 2023) from two sites per lake. Applying robust statistical analyses (ANOVA, Kruskal–Wallis, PCA, boxplots) and high-resolution spatial mapping, we revealed significant spatio-temporal heterogeneity and distinct pollution profiles between the two lakes. Specifically, Lake Tonga exhibited higher concentrations of organic and bacterial pollutants, likely linked to agricultural runoff and domestic discharge, while Lake Oubeira was characterized by elevated heavy metal concentrations and higher mineralization. The calculated Water Quality Index (WQI) classified the water quality of both lakes predominantly as “Moderate”, with punctual “Poor” quality episodes. Numerous parameters consistently exceeded water quality standards, indicating substantial ecological and health risks. Spatial distribution maps clearly pinpointed pollution hotspots, guiding lake-specific management measures. These findings underscore the urgent need for differentiated, targeted management interventions and an integrated, multidisciplinary approach for the effective conservation of these valuable wetland ecosystems. Full article
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