Luz Adriana Cuartas

Dr. Luz Adriana Cuartas

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 October 2019 in Atmosphere
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Journal Article
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Ana Paula M A CunhaAna Paula M A Cunha
Ana Paula M A Cunha
Marcelo ZeriMarcelo Zeri
Marcelo Zeri
KLKarinne Deusdará Leal
Karinne Deusdará Leal
LCLidiane Costa
Lidiane Costa
LCLuz Adriana Cuartas
Luz Adriana Cuartas
GRGermano Ribeiro-Neto
Germano Ribeiro-Neto
Drought-related disasters are among the natural disasters that are able to cause large economic and social losses. In recent years, droughts have affected different regions of Brazil, impacting water, food, and energy security. In this study, we used the Integrated Drought Index (IDI), which combines a meteorological-based drought index and remote sensing-based index, to assess the drought events from 2011 to 2019 over Brazil. During this period, drought events were observed throughout the country, being most severe and widespread between the years 2011 and 2017. In most of the country, the 2014/15 hydrological year stands out due to the higher occurrence of severe and moderate droughts. However, drought intensity and observed impacts were different for each region, which is shown by the different case studies, assessing different types of impacts caused by drought in Brazil. Thus, it is fundamental to evaluate the impacts of droughts in a continental country such as Brazil, where a variety of vegetation, soil, land use, and especially different climate regimes predominate.

16 June 2020 in Natural Hazards
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Journal Article
Closed access
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Jose A. MarengoJose A. Marengo
Jose A. Marengo
Ana Paula M A CunhaAna Paula M A Cunha
Ana Paula M A Cunha
CNCARLOS AFONSO NOBRE
CARLOS AFONSO NOBRE
GNGermano G. Ribeiro Neto
Germano G. Ribeiro Neto
AMAntonio R. Magalhaes
Antonio R. Magalhaes
RARegina Alvalá
Regina Alvalá

16 February 2022 in Water
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Journal Article
Open access
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LCLuz Adriana Cuartas
Luz Adriana Cuartas
Ana Paula M A CunhaAna Paula M A Cunha
Ana Paula M A Cunha
JAJessica Anastácia Alves
Jessica Anastácia Alves
LPLarissa Milena Pinto Parra
Larissa Milena Pinto Parra
KDKarinne Deusdará-Leal
Karinne Deusdará-Leal
José Antonio MarengoJosé Antonio Marengo
José Antonio Marengo
Brazil has endured the worst droughts in recorded history over the last decade, resulting in severe socioeconomic and environmental impacts. The country is heavily reliant on water resources, with 77.7% of water consumed for agriculture (irrigation and livestock), 9.7% for the industry, and 11.4% for human supply. Hydropower plants generate about 64% of all electricity consumed. The aim of this study was to improve the current state of knowledge regarding hydrological drought patterns in Brazil, hydrometeorological factors, and their effects on the country’s hydroelectric power plants. The results show that since the drought occurred in 2014/2015 over the Southeast region of Brazil, several basins were sharply impacted and remain in a critical condition until now. Following that event, other regions have experienced droughts, with critical rainfall deficit and high temperatures, causing a pronounced impact on water availability in many of the studied basins. Most of the hydropower plants end the 2020–2021 rainy season by operating at a fraction of their total capacity, and thus the country’s hydropower c

21 March 2023 in Natural Hazards and Earth System Sciences
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EAEnner Alcantara
Enner Alcantara
JMJosé A. Marengo
José A. Marengo
JMJosé Mantovani
José Mantovani
LLLuciana R. Londe
Luciana R. Londe
RSRachel Lau Yu San
Rachel Lau Yu San
CNCarlos Nobre
Carlos Nobre
On 15 February 2022, the city of Petrópolis in the highlands of the state of Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm), generated by a strongly invigorated mesoscale convective system. It resulted in flash floods and subsequent landslides that caused the deadliest landslide disaster recorded in Petrópolis, with 231 fatalities. In this paper, we analyzed the root causes and the key triggering factors of this landslide disaster by assessing the spatial relationship of landslide occurrence with various environmental factors. Rainfall data were retrieved from 1977 to 2022 (a combination of ground weather stations and the Climate Hazards Group InfraRed Precipitation – CHIRPS). Remotely sensed data were used to map the landslide scars, soil moisture, terrain attributes, line-of-sight displacement (land surface deformation), and urban sprawling (1985–2020). The results showed that the average monthly rainfall for February 2022 was 200 mm, the heaviest recorded in Petrópolis since 1932. Heavy rainfall was also recorded mostly in regions where the landslide occurred, according to analyses of the rainfall spatial distribution. As for terrain, 23 % of slopes between 45–60∘ had landslide occurrences and east-facing slopes appeared to be the most conducive for landslides as they recorded landslide occurrences of about 9 % to 11 %. Regarding the soil moisture, higher variability was found in the lower altitude (842 m) where the residential area is concentrated. Based on our land deformation assessment, the area is geologically stable, and the landslide occurred only in the thin layer at the surface. Out of the 1700 buildings found in the region of interest, 1021 are on the slope between 20 to 45∘ and about 60 houses were directly affected by the landslides. As such, we conclude that the heavy rainfall was not the only cause responsible for the catastrophic event of 15 February 2022; a combination of unplanned urban growth on slopes between 45–60∘, removal of vegetation, and the absence of inspection were also expressive driving forces of this disaster.

1 January 2024 in Estudos Avançados
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Journal Article
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JMJosé A. Marengo
José A. Marengo
GDGiovanni Dolif
Giovanni Dolif
LCLuz Adriana Cuartas
Luz Adriana Cuartas
PCPedro Camarinha
Pedro Camarinha
DGDemerval Aparecido Gonçalves
Demerval Aparecido Gonçalves
CNCARLOS AFONSO NOBRE
CARLOS AFONSO NOBRE
RESUMO As inundações sem precedentes de abril a maio de 2024 no Rio Grande do Sul afetaram mais de 90% do estado, deslocando centenas de milhares de pessoas e causando 172 mortes. O fenômeno El Niño Oscilação Sul foi considerado importante para explicar a variabilidade nas chuvas observadas, consistente com pesquisas anteriores que mostram que eventos anteriores de fortes chuvas na área ocorreram durante anos de El Niño. As frentes frias que trazem chuvas permaneceram estacionadas no sul do Brasil, uma vez que não puderam se mover para o centro do Brasil devido ao bloqueio atmosférico com ar quente e seco e às temperaturas mais altas naquela região. A inundação em Porto Alegre foi desencadeada por fortes chuvas na Bacia do Guaíba, com acumulações superiores a 500 mm em 5 dias, levando a níveis recordes de 5,35 m em 5 de maio, valores mais altos que a enchente anterior, em 1941. Além do caráter extremo deste evento, isso contribuiu para os impactos significativos de enchentes em áreas vulneráveis da Região Metropolitana de Porto Alegre e municípios próximos. Isso mostra a necessidade de avaliar objetivamente o risco e reforçar a infraestrutura para inundações para aumentar a resiliente a esta e futuras enchentes, ainda mais extremas.

20 January 2023 in Natural Hazards
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Journal Article
Closed access
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Jose A. MarengoJose A. Marengo
Jose A. Marengo
MSMarcelo Enrique Seluchi
Marcelo Enrique Seluchi
Ana Paula M A CunhaAna Paula M A Cunha
Ana Paula M A Cunha
LCLuz Adriana Cuartas
Luz Adriana Cuartas
DGDemerval Goncalves
Demerval Goncalves
OMOsvaldo Luiz Leal de Moraes
Osvaldo Luiz Leal de Moraes