Smart and Sustainable Solutions for Landslide and Landslide Dam Risks in a Changing Climate
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".
Deadline for manuscript submissions: 1 September 2026 | Viewed by 1741
Special Issue Editors
Interests: landslide dynamics; sustainable geohazard mitigation; smart monitoring systems
Interests: AI for geohazards
Interests: landslide dam hydrology
Special Issue Information
Dear Colleagues,
Climate change intensifies the frequency and severity of landslides and landslide dams, threatening communities, infrastructure, and ecosystems. Traditional mitigation approaches often lack adaptability to dynamic environmental conditions. This Special Issue seeks cutting-edge research on smart, sustainable, and resilience-driven strategies to predict, monitor, and mitigate these risks. We emphasize innovations leveraging AI, IoT, remote sensing, and nature-based solutions (NBS), alongside socio-economic policies for sustainable risk reduction.
Aim:
- Advance interdisciplinary frameworks integrating geotechnical engineering, climate science, and digital technologies.
- Highlight low-carbon, eco-friendly mitigation measures (e.g., bioengineering, hybrid defense structures).
- Explore equity and governance in landslide risk management for vulnerable regions.
Scope:
This Special Issue aligns with Sustainability’s goals by addressing UN SDGs 11 (Sustainable Cities), 13 (Climate Action), and 15 (Life on Land). We welcome original research, reviews, and case studies focusing on the following:
- AI and Digital Twins:
Machine learning for real-time landslide prediction and early warning systems.
Digital twin platforms simulating landslide dam breaches under climate scenarios.
- Green Technologies:
Bioengineering (e.g., vegetation-reinforced slopes) and circular materials (e.g., recycled composites for barriers).
Low-energy sensor networks for landslide monitoring.
- Climate Adaptation:
Impact of extreme weather (e.g., rainfall patterns, permafrost thaw) on landslide triggers.
Adaptive governance models for transboundary landslide dam risks.
- Community Resilience:
Participatory GIS (PGIS) for risk communication in marginalized communities.
Cost–benefit analyses of sustainable vs. conventional mitigation strategies.
Dr. Yixiang Song
Dr. Qiujie Meng
Dr. Zhu Zhong
Guest Editors
Manuscript Submission Information
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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. Sustainability 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
- landslide early warning
- AI in geohazards
- sustainable mitigation
- climate adaptation
- digital twin
- bioengineering
- IoT monitoring
- landslide dam breaching
- risk governance
- sdgs
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