Recent Developments in Sea-Level Rise and Its Related Geological Disasters Mitigation: A Review

Author:

Dong LiuqunORCID,Cao Jiming,Liu Xian

Abstract

With the rapid development of urbanization around the world, the sea-level-rise problem is gaining more and more attention in the 21st century. Sea-level rise is the result of a combination of climate-related factors, structural factors and human activities. Recent studies related to the contributions of these factors to sea-level rise are reviewed and analyzed in this paper. The results suggest that the melting of glaciers and ice sheets have contributed the most to sea-level rise and will continue to be the dominant factor in sea-level rise for the following decades. As sea-level rise becomes an increasingly serious problem, geological disasters related to sea-level rise are also gaining more attention. To better understand the effect of sea-level rise on geological disasters, relevant issues including storm surges, seawater intrusion, the loss of coastal wetland, seismicity, seismic liquefaction and submarine mass failure are further reviewed and highlighted. In response to the risks of those disasters caused by sea-level rise, some disaster mitigation measures are proposed, and in the end, the quantitative disaster assessment concept based on resilience is introduced to the coastal urban system, to assess its ability to resist and recover from geological disasters due to the sea-level rise.

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sea Level Rise Impacts in Coastal Areas and Possible Mitigation Engineering Approaches;Annals of Civil and Environmental Engineering;2023-07-21

2. Indicator Based Approach and Geospatial Technology for Coastal Vulnerability Assessment along Chennai District Coast, Tamil Nadu State, India;Thalassas: An International Journal of Marine Sciences;2023-07-08

3. Geological Disaster: An Overview;Intelligent Interpretation for Geological Disasters;2023

4. AM-ResNet: An Attention-Based Multi-Label Classification Network;2022 IEEE International Conference on Robotics and Biomimetics (ROBIO);2022-12-05

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