CLIMATE CHANGE AND RISK AREAS

Floods, landslides, and mudslides are frequent phenomena in Rio de Janeiro state (RJ). In the past decades, several catastrophic events have occurred and caused severe damages to people and infrastructure. In contrast, the persistent droughts that affected Southeast Brazil between 2014 and 2017 are phenomena that were not known earlier – at least in such frequency and intensity. Climate scenarios predict that extreme events will further increase in the future leading to increased heavy rainfall events on the one hand and longer dry spells on the other.

Levels selection:

Legend:

World Clim 2.1 dataset spatially interpolates monthly climate data for global land areas at a high spatial resolution. Dataset includes monthly temperature (minimum, maximum and average), precipitation, solar radiation, vapour pressure and wind speed, aggregated across a target temporal range of 1970–2000.


from 70 to 150
mm

Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315.



Monthly values of precipitation were processed for IPSL-CM6A-LR global climate model (GCM), and for the Shared Socio-economic Pathways (SSP) 2-4.5, aggregated across a projected target temporal range of 2021–2041. The differences in precipitation in mm between the historical level (1970-2000) and the projection for the period 2021-2041 are shown.


from 70 to 150
mm

Boucher, Olivier; Denvil, Sébastien; Levavasseur, Guillaume; Cozic, Anne; Caubel, Arnaud; Foujols, Marie-Alice; Meurdesoif, Yann; Balkanski, Yves; Checa-Garcia, Ramiro; Hauglustaine, Didier (2020). IPSL IPSL-CM6A-LR-INCA model output prepared for CMIP6 AerChemMIP. Earth System Grid Federation. doi:https://doi.org/10.22033/ESGF/CMIP6.13581



Monthly values of precipitation were processed for IPSL-CM6A-LR global climate model (GCM), and for the Shared Socio-economic Pathways (SSP) 2-4.5, aggregated across a projected target temporal range of 2041–2061. The differences in precipitation in mm between the historical level (1970-2000) and the projection for the period 2041-2061 are shown.


from 70 to 150
mm

Boucher, Olivier; Denvil, Sébastien; Levavasseur, Guillaume; Cozic, Anne; Caubel, Arnaud; Foujols, Marie-Alice; Meurdesoif, Yann; Balkanski, Yves; Checa-Garcia, Ramiro; Hauglustaine, Didier (2020). IPSL IPSL-CM6A-LR-INCA model output prepared for CMIP6 AerChemMIP. Earth System Grid Federation. doi:https://doi.org/10.22033/ESGF/CMIP6.13581




Flooding Area

Terreno Sujeito Á Inundação, Base Cartográfica Vetorial Contínua do Estado do Rio de Janeiro, IGBE, Secretaria de Estado do Ambiente – SEA-RJ, 2018


Flooding Point

Principais pontos (locais) de Inundação levantados no âmbito do Plano Estadual de Recursos Hídricos, Instituto Estadual do Ambiente - INEA, 2014



The IBGE and the Centro Nacional de Monitoramento e Alerta de Desastres Naturais - CEMADEN define the risk area as susceptible to be affected by natural and/or induced phenomena or processes that cause adverse effect. People who inhabit these areas are exposed to physical integrity damage, material and property losses.


Area prone to natural events

IBGE, Population in risk areas in Brazil 2018



Since 2004, Onda Verde begins forest restoration and conservation projects, by planting up to almost 2 million trees all over the Baixada Fluminense and the state of Rio de Janeiro.


Intervention Area