Climate Change in Santos Brazil: Projections, Impacts and Adaptation Options 2018
DOI: 10.1007/978-3-319-96535-2_3
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Patterns of Extreme Precipitation in Santos

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Cited by 4 publications
(4 citation statements)
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“…2021), as well as a probable decrease in the duration of dry periods (Nunes et al . 2018). The occurrence of extreme rainfall events may not be ruled out, however (Zilli et al .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…2021), as well as a probable decrease in the duration of dry periods (Nunes et al . 2018). The occurrence of extreme rainfall events may not be ruled out, however (Zilli et al .…”
Section: Discussionmentioning
confidence: 99%
“…Projected changes in climate for southeast Brazil predict an increase in rainfall and temperature in coming decades (Vale et al 2021), as well as a probable decrease in the duration of dry periods (Nunes et al 2018). The occurrence of extreme rainfall events may not be ruled out, however (Zilli et al 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Em consonância com Carriço (2015) e para o conhecimento técnico do eixo hidroviário sugerido, recorre-se aqui ao sistema de canal de partilha (MIGUENS, 1999) 24 para conectar os rios e estuários, bem como para a drenagem metropolitana e urbana local dos respectivos municípios, de forma a sugerir eixos de canais, perpendiculares e conectados ao canal de partilha. Destaca-se que, com essa sugestão, busca-se inquirir possíveis integrações e soluções para problemas apresentados por Carriço (2015), como a balneabilidade das praias (CETESB, 2022) e o aumento do nível do mar (NUNES et al, 2019).…”
Section: Projetounclassified
“…In GON, 2013;NUNES et al, 2019;ZILLI et al, 2017) and decreases in light rain (MARENGO; VALVERDE; OBREGON, 2013;ZILLI et al, 2017), probably due to natural climate variability associated with some signals of the urbanization effect. Plus, these studies have also noted that the number of consecutive dry days has increased, indicating that intense precipitation is becoming concentrated on a few days with longer dry periods occurring in between.…”
Section: Non-separable Spatio-temporal Modelmentioning
confidence: 99%