Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Miguel Angel Trejo-Rangel"'
Autor:
Adriano Mota Ferreira, Victor Marchezini, Tatiana Sussel Gonçalves Mendes, Miguel Angel Trejo-Rangel, Allan Yu Iwama
Publikováno v:
International Journal of Disaster Risk Science, Vol 14, Iss 5, Pp 722-735 (2023)
Abstract Disaster forensic approaches aim to identify the causes of disasters to support disaster risk management. However, few studies have conducted a systematic literature review of scientific articles that labeled themselves as a forensic approac
Externí odkaz:
https://doaj.org/article/632d5a65e1734893be96b935a4ee9a5d
Autor:
Rafael Damasceno Pereira, Lucas de Paula Brazílio, Miguel Angel Trejo-Rangel, Maurício Duarte dos Santos, Letícia Milene Bezerra Silva, Lilian Fraciele Souza, Ana Carolina Santana Barbosa, Mario Ricardo de Oliveira, Ronaldo dos Santos, Danilo Pereira Sato, Allan Yu Iwama
Publikováno v:
Frontiers in Climate, Vol 5 (2023)
The impacts of climate-related disasters can be estimated by climate models. However, climate models are frequently downscaled to specific settings to facilitate Disaster Risk Management (DRM) to better understand local impacts and avoid overlooking
Externí odkaz:
https://doaj.org/article/c96bd9c28b8f46a29e25c4d33994fff0
Autor:
Miguel Angel Trejo-Rangel, Rodrigo Rudge Ramos Ribeiro, Cristian Camilo Fernández Lopera, Adriano Mota Ferreira, Nhilce Nahomi Esquivel-Gomez, Carla Cristina Liera-Martínez
Publikováno v:
Revista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres, Vol 6, Iss 1, Pp 25-34 (2022)
Five of the ten most affected countries by climate-related disasters worldwide are located in the Latin American and Caribbean (LAC) region, which has incorporated Disaster Risk Management (DRM) into its development policies. Such DRM is ruled by int
Externí odkaz:
https://doaj.org/article/28a0edf1c4cd452cb6946998d443b583
Autor:
Rodrigo Rudge Ramos Ribeiro, Samia Nascimento Sulaiman, Stefan Sieber, Miguel Angel Trejo-Rangel, Juliana Fionda Campos
Publikováno v:
GeoHazards, Vol 2, Iss 4, Pp 442-453 (2021)
Drought is one of the most significant hazards that farmers face in rural areas. This study aims to examine an integrated assessment of the drought impacts in rural territories, considering the social perceptions related to the effects of natural haz
Externí odkaz:
https://doaj.org/article/1917eb0e77c748f49e69e8d3739ac01a
Autor:
Victor Marchezini, Flávio Eduardo Aoki Horita, Patricia Mie Matsuo, Rachel Trajber, Miguel Angel Trejo-Rangel, Débora Olivato
Publikováno v:
Frontiers in Earth Science, Vol 6 (2018)
Context: Global environmental change and disasters pose several challenges to governments, society and science. These challenges occurred in social contexts were information and communication technologies can be used to share data and information, en
Externí odkaz:
https://doaj.org/article/5f9755bc72ee4eb69229c23e7331c4c0
Autor:
Miguel Angel Trejo-Rangel, Adriano Mota Ferreira, Victor Marchezini, Daniel Andres Rodriguez, Melissa da Silva Oliveira, Daniel Messias dos Santos
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-28T19:49:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01 Purpose: The purpose of this study is to encourage graduate students to facilitate a participatory mapping activity with high school students
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec6d6a48158d93be59e8a0dd4cc4e57d
Autor:
Miguel Angel Trejo-Rangel, Victor Marchezini, Daniel Andres Rodriguez, Daniel Messias dos Santos, Marina Gabos, Aloísio Lélis de Paula, Eduardo Santos, Fernando Sampaio do Amaral
Publikováno v:
International Journal of Disaster Risk Reduction. 84:103450
Publikováno v:
Territorium: Revista Portuguesa de riscos, prevenção e segurança, Iss 29(I) (2021)
This article proposes a method for predicting fire occurrence, considering regional climate change projection using the Eta model, with a 20 km resolution, for the RCP4.5 and RCP8.5 scenarios. Fire occurrence in the state of Bahia was calculated as a
Autor:
Miguel Angel Trejo-Rangel, Rodrigo Rudge Ramos Ribeiro, Cristian Camilo Fernández Lopera, Adriano Mota Ferreira, Nhilce Nahomi Esquivel-Gomez, Carla Cristina Liera-Martínez
Publikováno v:
Revista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres REDER. 6:25
Todos los artículos publicados en REDER siguen una política de Acceso Abierto y se respaldan en una Licencia CreativeCommons Atribución-NoComercial 4.0 Internacional. De los 10 países más afectados por desastres de origen climático en el mundo,