Special Issue

Topic: Geotechnical Monitoring and Disaster Prevention

A Special Issue of Disaster Prevention and Resilience

ISSN 2832-4056 (Online)

Submission deadline: 15 Oct 2024

Guest Editor(s)

Prof. Huafu Pei
School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Prof. Honghu Zhu
Institute of Earth Exploration and Sensing, Nanjing University, Nanjing, Jiangsu, China.
Prof. Jie Zhang

Department of Geotechnical Engineering, Tongji University, Shanghai, China.

Special Issue Introduction

Geotechnical monitoring is a critical component of disaster prevention and mitigation, as it provides essential information on the stability and safety of geotechnical structures built on or in the ground. The monitoring of geotechnical hazards, such as landslides, liquefaction, and subsidence, is complex and requires the integration of various data sources and analytical techniques. With the increasing frequency and severity of geotechnical hazards worldwide, there has been growing research interest in geotechnical monitoring and disaster prevention.

In recent years, there have been significant developments in hardware and software technologies, which have revolutionized geotechnical monitoring and disaster prevention. These include the use of advanced sensors, remote sensing, big data analysis, and artificial intelligence, among others. These new technologies have expanded the scope of geotechnical monitoring and disaster prevention.

This Special Issue on "Geotechnical Monitoring and Disaster Prevention" aims to cover recent research progress, the latest developments, and open challenges in geotechnical monitoring and disaster prevention. The Special Issue welcomes state-of-the-art reviews, new theories, novel methodologies, innovative and significant applications, and case studies related to geotechnical monitoring and disaster prevention. The topics of interest include, but are not limited to, the integration of sensors and remote sensing, data processing and analysis, machine learning and artificial intelligence, and risk assessment and management. We invite researchers and practitioners from various fields to share their expertise and contribute to this Special Issue.

Keywords

Geotechnical hazards, geotechnical monitoring and prevention, integration of sensors and remote sensing, data processing and analysis, machine learning and artificial intelligence

Submission Deadline

15 Oct 2024

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/dpr/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=dpr&IssueId=DPR230420
Submission Deadline: 15 Oct 2024
Contacts: Monica Wang, Assistant Editor, editorialoffice@dprjournal.com

Published Articles

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Disaster Prevention and Resilience
ISSN 2832-4056 (Online)
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