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Advances in Soil and Groundwater Remediation

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

Deadline for manuscript submissions: closed (25 March 2025) | Viewed by 1413

Special Issue Editors


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Guest Editor
Department of Water Resources and Environmental Engineering, Tamkang University, New Taipei City 25137, Taiwan
Interests: groundwater resource management; geochemical modeling; water chemistry; groundwater contamination transformation simulation; soil and groundwater contamination remediation; mobilization and bioaccumulation of heavy metals in the agro-environment; hydrogeological investigation; geostatistical analysis; multivariate statistical analysis
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Guest Editor
Department of Biotechnology, National Kaohsiung Normal University, Kaohsiung, Taiwan
Interests: soil and groundwater remediation; health and ecological risk assessment; fate and transport of pollutants; environmental forensic

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Guest Editor
Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
Interests: river pollution control and water quality management; assessment of carrying capacity of water bodies; strategy for TMDL (total maximum daily load) implementation; watershed management; environmental chemistry; water and wastewater treatment; advanced oxidation processes; impact of macromolecule on AOP treatment efficiency; photo-catalytic oxidation of disinfection by-products in drinking water; transport and fate of environmental contaminants; quality assurance and conservation of agro-environment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Groundwater and soil are vital Earth resources crucial for sustainable ecosystem development. Yet, these resources face imminent threats due to rapid urbanization, expanding land uses, and growing populations. Urgent remediation of groundwater and soil contamination is imperative to curb bioaccumulation. The toxicity of chlorinated organic compounds and heavy metals poses threats to human health, alongside persistent organic pollutants such as PFAS, PFOS, and pharmaceuticals and personal care products (PPCP). Harnessing significant advancements in environmental analysis, remediation engineering, numerical simulation, and machine learning, various advanced strategies for soil and groundwater remediation are currently under development. Concepts like Green and Sustainable Remediation (GSR) and Sustainable Reliance Remediation (SRR) have emerged in recent years and are being applied to contaminated sites. To address these pressing issues, this special issue seeks contributions focusing on: (1) advanced approaches to field investigations and laboratory experiments for physical and/or biochemical remediation, (2) efficient measurements of biogeochemical and hydrogeological cycling, (3) the application of GSR and SRR for socio-economic and environmental mitigation, and (4) management policies on soil and groundwater remediation. We invite studies that establish links between soil and groundwater resource conservation and contaminant remediation, with the overarching goal of achieving a sustainable environment.

Dr. Sheng-Wei Wang
Dr. Colin S. Chen
Dr. Chihhao Fan
Guest Editors

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

  • soil and groundwater
  • contamination
  • remediation
  • sustainability
  • environmental engineering
  • biogeochemistry
  • numerical model
  • urbanization
  • climate change

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Published Papers (1 paper)

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Research

15 pages, 3183 KiB  
Article
Optimization of a Groundwater Pollution Monitoring Well Network Using a Backpropagation Neural Network-Based Model
by Heng Wang, Xu Huang, Bing Wang, Xiaoyu Zhang, Caiyi Zhao, Rongrong Ying, Yanhong Feng and Zhewei Hu
Water 2024, 16(20), 2965; https://doi.org/10.3390/w16202965 - 17 Oct 2024
Viewed by 918
Abstract
Selecting representative groundwater monitoring wells in polluted areas is crucial to comprehensively assess groundwater pollution, thereby ensuring effective groundwater remediation. However, numerous factors can affect the effectiveness of groundwater monitoring well network optimizations. A local sensitivity analysis method was used in this study [...] Read more.
Selecting representative groundwater monitoring wells in polluted areas is crucial to comprehensively assess groundwater pollution, thereby ensuring effective groundwater remediation. However, numerous factors can affect the effectiveness of groundwater monitoring well network optimizations. A local sensitivity analysis method was used in this study to analyze the hydrogeological parameters of a simulation groundwater solute transport model. The results showed a strong effect of longitudinal dispersion and transverse dispersion on the output results of the simulation model, and a good fit between the backpropagation neural network (BPNN)-based alternative model’s results and those obtained using the solute transport simulation model, accurately reflecting the input and output relationship of the simulation model. The optimized groundwater monitoring layout scheme consisted of four groundwater monitoring wells, namely no. 7, no. 16, no. 23, and no. 24. These wells resulted in a groundwater fluoride pollution rate of 98.44%, which was substantially higher than that obtained using the random layout scheme. In addition, statistical analysis of the fluoride groundwater pollution results obtained using the Monte Carlo random simulation highlighted continuous and high groundwater fluoride levels in the second and third pollution sources and their downstream groundwater. Therefore, more attention should be devoted to these sources to ensure the effective remediation of groundwater pollution in the study area. Full article
(This article belongs to the Special Issue Advances in Soil and Groundwater Remediation)
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