Your browser doesn't support javascript.
loading
Understanding the global subnational migration patterns driven by hydrological intrusion exposure.
Qiao, Renlu; Gao, Shuo; Liu, Xiaochang; Xia, Li; Zhang, Guobin; Meng, Xi; Liu, Zhiyu; Wang, Mo; Zhou, Shiqi; Wu, Zhiqiang.
Afiliación
  • Qiao R; Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, 1239, Siping Road, Shanghai, P.R. China.
  • Gao S; College of Architecture and Urban Planning, Tongji University, 1239, Siping Road, Shanghai, P.R. China.
  • Liu X; University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK.
  • Xia L; School of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai, P.R. China.
  • Zhang G; School of Management, University of Science and Technology of China, Hefei, P.R. China.
  • Meng X; College of Architecture and Urban Planning, Tongji University, 1239, Siping Road, Shanghai, P.R. China.
  • Liu Z; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
  • Wang M; College of Design and Innovation, Tongji University, Shanghai, 200093, China. zyliu0917@gmail.com.
  • Zhou S; College of Architecture and Urban Planning, Guangzhou University, Guangzhou, 510006, China. landwangmo@outlook.com.
  • Wu Z; College of Design and Innovation, Tongji University, Shanghai, 200093, China. zhoushiqi1965@outlook.com.
Nat Commun ; 15(1): 6285, 2024 Jul 26.
Article en En | MEDLINE | ID: mdl-39060247
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hidrología / Migración Humana Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hidrología / Migración Humana Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article