Smart and Sustainable Solutions for Landslide and Landslide Dam Risks in a Changing Climate

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:

1. Advance interdisciplinary frameworks integrating geotechnical engineering, climate science, and digital technologies.
2. Highlight low-carbon, eco-friendly mitigation measures (e.g., bioengineering, hybrid defense structures).
3. 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:

1. 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.

2. Green Technologies:

Bioengineering (e.g., vegetation-reinforced slopes) and circular materials (e.g., recycled composites for barriers).

Low-energy sensor networks for landslide monitoring.

3. Climate Adaptation:

Impact of extreme weather (e.g., rainfall patterns, permafrost thaw) on landslide triggers.

Adaptive governance models for transboundary landslide dam risks.

4. 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

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