Cargando…
Assessing the susceptibility of schools to flood events in Iran
Catastrophic floods cause deaths, injuries, and property damages in communities around the world. The losses can be worse among those who are more vulnerable to exposure and this can be enhanced by communities’ vulnerabilities. People in undeveloped and developing countries, like Iran, are more vuln...
Autores principales: | Yousefi, Saleh, Pourghasemi, Hamid Reza, Emami, Sayed Naeim, Rahmati, Omid, Tavangar, Shahla, Pouyan, Soheila, Tiefenbacher, John P., Shamsoddini, Shahbaz, Nekoeimehr, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581815/ https://www.ncbi.nlm.nih.gov/pubmed/33093648 http://dx.doi.org/10.1038/s41598-020-75291-3 |
Ejemplares similares
-
A machine learning framework for multi-hazards modeling and mapping in a mountainous area
por: Yousefi, Saleh, et al.
Publicado: (2020) -
A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
por: Pouyan, Soheila, et al.
Publicado: (2021) -
Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models
por: Pourghasemi, Hamid Reza, et al.
Publicado: (2020) -
COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards
por: Pouyan, Soheila, et al.
Publicado: (2022) -
Author Correction: Using machine learning to predict processes and morphometric features of watershed
por: Mokarram, Marzieh, et al.
Publicado: (2023)