Environmental Issues in Geotechnical Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 498
Special Issue Editors
Interests: unsaturated soil mechanics; eco and environmental geotechnics; low-carbon disposal and utilisation of solid waste; geotechnical disasters prevention and risk-driven warning; lifecycle resilience and intelligent perception of geotechnical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: soil–pile interaction; DEM simulation; particle breakage; micromechanics; suffusion
Special Issues, Collections and Topics in MDPI journals
Interests: unsaturated soil behaviour; soil remediation using biopolymers and biochar; soil-plant interactions; waste valorization
Special Issue Information
Dear Colleagues,
Amid escalating climate change and intensifying environmental degradation, environmental geotechnics has become pivotal in addressing geotechnical engineering’s role in ecological resilience. From waste disposal, soil contamination, and land degradation to geohazards worsened by climate variability, existing practices demand innovation—especially regarding the integration of artificial intelligence (AI).
This Special Issue seeks to advance research at the intersection of environmental geotechnics, focusing on sustainable solutions. We invite contributions spanning fundamental studies to practical applications, covering topics such as waste recycling in geotechnical systems, climate-resilient geotechnical design, pollution remediation innovations, carbon-negative geotechnics, eco-geotechnics, renewable energy–geotechnics integration, AI-driven site characterisation, predictive modelling for environmental risk, and optimisation of low-carbon practices and other topics related to environmental geotechnics.
By bridging environmental challenges with AI-driven methodologies, this Special Issue aims to accelerate the transition toward sustainable geotechnical engineering, offer transformative tools to enhance efficiency, reduce ecological footprints, and foster eco-friendly geotechnical innovation.
Submissions from global researchers are welcome to help shape a roadmap towards environmentally responsible geotechnical practices.
Prof. Dr. Haowen Guo
Dr. Zhaofeng Li
Dr. Pui San So
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences 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 2400 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
- waste recycling in geotechnical systems
- climate-resilient geotechnical design
- pollution remediation innovations
- carbon-negative geotechnics
- eco-geotechnics
- renewable energy-geotechnics integration
- AI-driven geoenvironmental solution
- predictive modelling for environmental risk optimisation of low-carbon practices
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