下沉
地理
自然地理学
干涉合成孔径雷达
环境科学
土地利用
人口
环境资源管理
遥感
地质学
合成孔径雷达
生态学
地貌学
构造盆地
生物
人口学
社会学
作者
Cheryl Wen Jing Tay,Eric O. Lindsey,Shi Tong Chin,Jamie W. McCaughey,David Bekaert,Michele Nguyen,Hook Hua,G. Manipon,Mohammed Karim,Benjamin P. Horton,Tanghua Li,Emma M. Hill
标识
DOI:10.1038/s41893-022-00947-z
摘要
Coastal land can be lost at rapid rates due to relative sea-level rise (RSLR) resulting from local land subsidence. However, the comparative severity of local land subsidence is unknown due to high spatial variabilities and difficulties reconciling observations across localities. Here we provide self-consistent, high spatial resolution relative local land subsidence (RLLS) velocities derived from Interferometric Synthetic Aperture Radar for the 48 largest coastal cities, which represent 20% of the global urban population. We show that cities experiencing the fastest RLLS are concentrated in Asia. RLLS is also more variable across the 48 cities (−16.2 to 1.1 mm per year) than the Intergovernmental Panel on Climate Change estimations of vertical land motion (−5.2 to 4.9 mm per year). With our standardized method, the identification of relative vulnerabilities to RLLS and comparisons of RSLR effects accounting for RLLS are now possible across cities worldwide. These will better inform sustainable urban planning and future adaptation strategies in coastal cities. Coastal cities face a compound threat from relative sea-level rise and land subsidence; however, local land subsidence rates are spatially variable and can be difficult to quantify. Remote interferometric radar observations allow high-resolution estimations of local land subsidence to better inform the future of major coastal cities.
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