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Monitoring and Remediation of Contaminants in Soil and Water
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Monitoring and Remediation of Contaminants in Soil and Water

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".

Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 4780

Special Issue Editor

Dr. Liang Wang

E-Mail Website
Guest Editor
Global Centre for Environmental Remediation, The University of Newcastle, Callaghan, NSW 2308, Australia
Interests: real-time pollution monitoring; contaminated site characterisation; infrared spectroscopy; chemical and optical sensors; soil health; in-field contamination measurements; water pollution
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main purpose of this Special Issue is to highlight recent advancements and interdisciplinary approaches in monitoring and remediating soil and water contaminants. We aim to showcase cutting-edge technologies, strategies, and methodologies that improve our ability to identify, assess, and mitigate pollution in these critical environments. By bringing together research from environmental science, analytical chemistry, sensor technology, and remediation practices, this Special Issue seeks to enhance our response to environmental threats and promote sustainable management practices. Contributions will be expected to critically engage with existing methodologies, introduce novel approaches, and discuss the implications of new findings in the context of current environmental standards and regulations.

Contributions may include, but are not limited to, research on the following:

  • Real-time Pollution Monitoring: Development and application of novel technologies and methodologies for the real-time detection and monitoring of soil and water contaminants.
  • In-Field Contamination Measurements: Methodological advancements and practical applications of in-field analytical techniques for the rapid and accurate assessment of contamination levels.
  • Contaminated Site Characterization: Advanced techniques and case studies in the thorough assessment and mapping of contaminated sites, focusing on soil and water environments.
  • Soil and Water Remediation: Effective strategies, technologies, and methodologies for the remediation of polluted soils and water bodies, including bioremediation, physicochemical treatments, and innovative cleanup technologies.
  • Impact on Soil Health: Studies examining the effects of pollutants on soil health and the efficacy of various remediation strategies in restoring soil quality.

Dr. Liang Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • real-time pollution monitoring
  • water pollution
  • in-field contamination measurements
  • soil and water remediation

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

17 pages, 3440 KiB  
Article
Machine Learning Approach for Groundwater Contamination Spatiotemporal Relationship Exploration
by Jayesh Soni, Himanshu Upadhyay, Leonel Lagos, Masudur Siddiquee and Xuehang Song
Water 2025, 17(1), 121; https://doi.org/10.3390/w17010121 - 4 Jan 2025
Viewed by 1067
Abstract
Addressing groundwater contamination, this study applies machine learning (ML) algorithms to explore the spatiotemporal dynamics of hexavalent chromium (Cr[VI]) at the Hanford 100-Area. The research uses an extensive long-term monitoring dataset focused on groundwater wells and aquifers to enhance the understanding and management [...] Read more.
Addressing groundwater contamination, this study applies machine learning (ML) algorithms to explore the spatiotemporal dynamics of hexavalent chromium (Cr[VI]) at the Hanford 100-Area. The research uses an extensive long-term monitoring dataset focused on groundwater wells and aquifers to enhance the understanding and management strategies of this complex environmental issue and predict the impact on aquifers due to the contamination in groundwater wells. The challenging nature of the task is due to various factors, such as the geological nature of the soil, pipeline leaks, and mobility of the particles that impact the speed of contamination. The findings demonstrate a random forest (ML)-based approach to predict the contaminant distributions accurately, thus significantly reducing uncertainties in contamination assessments and refining conceptual site models. This approach advances groundwater quality management and sets a precedent for future AI-driven environmental studies. Full article
(This article belongs to the Special Issue Monitoring and Remediation of Contaminants in Soil and Water)
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16 pages, 2610 KiB  
Article
Plant-Based Flocculants as Sustainable Conditioners for Enhanced Sewage Sludge Dewatering
by Yosra Hadj Mansour, Bouthaina Othmani, Faouzi Ben Rebah, Wissem Mnif, Moncef Khadhraoui and Mongi Saoudi
Water 2024, 16(20), 2949; https://doi.org/10.3390/w16202949 - 16 Oct 2024
Cited by 1 | Viewed by 1612
Abstract
With the aim to establish clean and sustainable sludge treatment, green conditioning using natural flocculants has recently gained a growing interest. In this study, a variety of plant materials, namely Moringa (Moringa oleifera) seeds, Fenugreek (Trigonella foenum-graecum) seeds, Potato [...] Read more.
With the aim to establish clean and sustainable sludge treatment, green conditioning using natural flocculants has recently gained a growing interest. In this study, a variety of plant materials, namely Moringa (Moringa oleifera) seeds, Fenugreek (Trigonella foenum-graecum) seeds, Potato (Solanum tuberosum) peels, Aloe (Aloe vera) leaves, Cactus (Opuntia ficus indica) cladodes, and Phragmites (Phragmites australis) stems, were evaluated for their potential bioflocculant activity in conditioning sewage sludge. They were thoroughly characterized to determine their active flocculating compounds. Sludge dewaterability was evaluated by assessing various sludge parameters, including specific resistance to filtration (SRF), dryness of filtration cake (DC), and total suspended solid removal (TSS) from sludge filtrate. The collected results from various physicochemical characterizations of plant materials suggest that the main flocculating agents are carbohydrates in Cactus and Fenugreek and proteins in Moringa, Potato, and Phragmites. Additionally, all tested plant-based flocculants demonstrated effective dewatering performance. Interestingly, compared to the chemical flocculant polyaluminum chloride, Moringa and Cactus showed superior conditioning effects, yielding the lowest SRF values and the highest DC. As a result, the use of these natural flocculants improved sewage sludge filterability, leading to a significant removal of total suspended solids from the filtrate. The conditioning properties of Moringa and Cactus can be attributed to their high protein and sugar content, which facilitates the effective separation of bound water from solids through charge neutralization and bridging mechanisms. Thus, green conditioning using plant-based flocculants, particularly Moringa and Cactus materials, presents a promising and eco-friendly approach to enhance sewage sludge dewatering for safer disposal and valorization. Full article
(This article belongs to the Special Issue Monitoring and Remediation of Contaminants in Soil and Water)
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16 pages, 1523 KiB  
Article
Detection and Measurement of Bacterial Contaminants in Stored River Water Consumed in Ekpoma
by Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Joshua Emakhu, Egbe-Etu Etu, Onome C. Edo, Maxwell Omeje and Nsikak U. Benson
Water 2024, 16(18), 2696; https://doi.org/10.3390/w16182696 - 23 Sep 2024
Viewed by 1505
Abstract
This study was conducted in Ekpoma, a town dependent on rainwater and river water from nearby areas because of a lack of groundwater sources, and the physicochemical and bacteriological (heterotrophic plate count [HPC], total coliform count [TCC], and fecal coliform count [FCC]) properties [...] Read more.
This study was conducted in Ekpoma, a town dependent on rainwater and river water from nearby areas because of a lack of groundwater sources, and the physicochemical and bacteriological (heterotrophic plate count [HPC], total coliform count [TCC], and fecal coliform count [FCC]) properties of 123 stored river water samples grouped into five collection districts (EK1 to EK5). The results were compared with regulatory standards and previous regional studies to identify water quality trends. While most physicochemical properties met drinking water standards, 74% of samples had pH values > 8.5. Twenty-seven samples were fit for drinking, with EK4 having the highest number of bacterio-logically unsuitable samples. Ten bacterial species were identified, with Gram-negative short-rod species such as Escherichia coli, Klebsiella pneumoniae, and Salmonella typhimurium being predominant. HPC values varied from 367 × 10⁴ to 1320 × 10⁴ CFU/mL, with EK2 (2505 × 10⁴ CFU/mL) and EK5 (1320 × 10⁴ CFU/mL) showing particularly high counts. The TCC values ranged from 1049 × 10⁴ to 4400 × 10⁴ CFU/mL, and the FCC values from 130 × 10⁴ to 800 × 10⁴ CFU/mL, all exceeding WHO limits (1.0 × 102 CFU/mL). Historical data show no improvement in water quality, emphasizing the need for individuals to treat water properly before consumption. The findings provide baseline data for local water authorities and serve as a wake-up call for adequate water treatment, storage interventions, and community education on water security. Additionally, this study offers a practical process for improving the quality of water stored in similar regions. Full article
(This article belongs to the Special Issue Monitoring and Remediation of Contaminants in Soil and Water)
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