Zhiyu Liu

Jan 14, 2025 | dx.doi.org | Yuchen Qiao |Ayisha Zia |Grace Wu |Zhiyu Liu

Jan 14, 2025 | pubs.acs.org | Yuchen Qiao |Ayisha Zia |Grace Wu |Zhiyu Liu

Dec 12, 2024 | mdpi.com | Zhiyu Liu

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Jul 26, 2024 | nature.com | Renlu Qiao |Shuo Gao |Xiaochang Liu |Li Xia |Guobin Zhang |Zhiyu Liu | +4 more

Amid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the national level. The study delves into the nonlinear effects of hydrological risks on migration dynamics in 46,776 global subnational units. Meanwhile, leveraging remote sensing, we procured globally consistent metrics of hydrological intrusion exposure, offering a holistic risk assessment encompassing hazard, exposure, and vulnerability dimensions, thus complementing previous work. Here, we show that exposure is the primary migration driver, surpassing socioeconomic factors. Surrounding disparities further intensified exposure’s impact. Vulnerable groups, especially the economically disadvantaged and elderly, tend to remain in high-risk areas, with the former predominantly migrating within proximate vicinities. The nonlinear analysis delineates an S-shaped trajectory for hydrological exposure, transitioning from resistance to migration and culminating in entrapment, revealing dependence on settlement resilience and adaptability. Hydrological risks drive migration more than socioeconomic factors. Vulnerable groups often stay in high-risk areas or migrate nearby. The study reveals an S-shaped migration pattern influenced by settlement resilience and adaptability.

Nov 22, 2023 | dx.doi.org | Yuchen Qiao |Grace Wu |Zhiyu Liu |Hongjian He

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