Worldwide research trends and networks on flood early warning systems
Tallennettuna:
| Tekijät: | , |
|---|---|
| Aineistotyyppi: | artículo original |
| Julkaisupäivä: | 2024 |
| Kuvaus: | This review paper examined the global landscape of research on continental flood early warning systems (EWS), shedding light on key trends, geographic disparities, and research priorities. Continental floods stand as one of the most pervasive and devastating disasters worldwide, necessitating proactive measures to mitigate their impact. Drawing upon a comprehensive analysis of the scholarly literature indexed in theWeb of Science repository, this study unveiled significant patterns in EWS research. While the emphasis on flooding is evident, a considerable portion of research focuses on precipitation as a variable and modeling approaches. Furthermore, the influence of climate change emerges as a prominent theme, though distinguishing between climate change and variability remains a crucial area for exploration. Geographically, Europe, particularly England and Italy, dominates research efforts in flood related EWS. Conversely, the limited representation of Central America and other regions such as Asia and Oceania, underscores the need for greater attention to regions facing significant flood risks. Importantly, the concept of total link strength emerges as a valuable metric, highlighting collaborative networks established by European countries and the United States. Based on these findings, recommendations are proposed to enhance the inclusivity and effectiveness of flood related EWS research, including a broader consideration of socio-economic factors, fostering collaboration among researchers from diverse regions, and prioritizing initiatives to strengthen research capacities in vulnerable areas. Ultimately, this study provides valuable insights for policymakers, researchers, and practitioners seeking to advance flood risk management strategies on a global scale. |
| Maa: | Kérwá |
| Organisaatio: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| Kieli: | Inglés |
| OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/91730 |
| Linkit: | https://doi.org/10.3390/geohazards5030030 https://hdl.handle.net/10669/91730 |
| Sanahaku: | floods network analysis bibliometric analysis precipitation research trends early warning systems |