Prof. Luana Centeno Cecconello

Dr. Prof. Luana Centeno Cecconello


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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1 August 2020 in CATENA
Verified
Journal Article
Closed access
PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
LTLuís Carlos Timm
Luís Carlos Timm
KRKlaus Reichardt
Klaus Reichardt
SBSamuel Beskow
Samuel Beskow
TCTamara Leitzke Caldeira
Tamara Leitzke Caldeira
OWOle Wendroth
Ole Wendroth

6 May 2020 in Journal of Soil Science and Plant Nutrition
Verified
Journal Article
Closed access
PDF file
PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
WHWei Hu
Wei Hu
LTLuís Carlos Timm
Luís Carlos Timm
DSDongli She
Dongli She
AFArlan da Silva Ferreira
Arlan da Silva Ferreira
TCTamara Leitzke Caldeira
Tamara Leitzke Caldeira

27 April 2020 in Journal of Soil Science and Plant Nutrition
Verified
Journal Article
Closed access
PDF file
MSMauricio Fornalski Soares
Mauricio Fornalski Soares
PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
LTLuís Carlos Timm
Luís Carlos Timm
Carlos MelloCarlos Mello
Carlos Mello
DKDouglas Rodrigo Kaiser
Douglas Rodrigo Kaiser
SBSAMUEL Beskow
SAMUEL Beskow

19 February 2025 in Meteorology
Verified
Journal Article
Open access
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AAAngela Maria de Arruda
Angela Maria de Arruda
PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
ANAndré Becker Nunes
André Becker Nunes
This study analyzed the correlation between climate indices—El Niño–Southern Oscillation (NINO34), Southern Oscillation Index (SOI), Antarctic Oscillation (AOC), Sea Surface Temperature in the southwestern Atlantic (ISSTRG2 + RG3), South Atlantic Subtropical High (SASH), Pacific Decadal Oscillation (PDO), and Madden–Julian Oscillation (MJO)—and precipitation in Rio Grande do Sul (RS) during 45-day subseasonal periods from 2006 to 2022. Precipitation data from 670 rain gauges were categorized into three clusters: cluster 1, located in western RS, displayed the lowest precipitation variation; cluster 2, in eastern RS, exhibited the greatest variability; and cluster 3, situated in northern RS. ENSO demonstrated the strongest positive correlation with precipitation during spring in clusters 1 and 3 (0.65–0.79), while PDO also correlated positively, especially in summer and spring. AOC exhibited negative correlations, most pronounced in spring. Significant inter-index correlations were identified, including a high positive correlation between SASH and AOC (0.7) and a high negative correlation between NINO34 and SOI (−0.73). Within clusters, NINO34 and PDO showed low positive correlations with precipitation (0.24–0.32), while SOI demonstrated low negative correlations (−0.21 to −0.30). Seasonal analysis revealed that NINO34 influenced summer and spring precipitation, correlating with above-average rainfall during El Niño events. SASH and PDO also showed positive correlations with summer and spring rainfall, with PDO’s positive phase associated with a 25% increase in precipitation. These findings provide valuable insights into the complex interactions between global climatic indices and regional precipitation patterns, enhancing the understanding of subseasonal climate variability in RS and supporting the development of more accurate climate prediction models for the region.

8 April 2023 in Environmental Earth Sciences
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Journal Article
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PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
SCSamanta Tolentino Cecconello
Samanta Tolentino Cecconello
RVRayane Ribeiro Vieira
Rayane Ribeiro Vieira
HGHugo Alexandre Soares Guedes
Hugo Alexandre Soares Guedes
KRKlaus Reichardt
Klaus Reichardt
LTLuís Carlos Timm
Luís Carlos Timm

16 July 2021 in Revista Ambientale
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Journal Article
Open access
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SPSuelen Ramires Pintanel
Suelen Ramires Pintanel
SCSamanta Tolentino Cecconello
Samanta Tolentino Cecconello
PCProf. Luana Centeno Cecconello
Prof. Luana Centeno Cecconello
O saneamento básico consiste em um conjunto de serviços, infraestruturas e instalações operacionais de abastecimento de água, esgotamento sanitário, limpeza urbana e drenagem pluvial. Assim, o saneamento básico é importante para a garantia da saúde pública, para a qualidade de vida e para o meio ambiente, pois a ausência desses serviços resulta em doenças infecciosas. Este trabalho teve como objetivo analisar a correlação temporal entre indicadores de saneamento básico e doenças de veiculação hídrica nos municípios de Pelotas e Rio Grande, no estado do Rio Grande do Sul. Foram obtidos os dados de doenças inseridas no CID – 10 e estas foram coletadas através do Departamento de Informática do Sistema Único de Saúde – DATASUS, onde coletou-se dados de internações por local de residências para as doenças pertencentes ao CID10: diarreia, hepatite, leptospirose, amebíase e febre tifoide. Os indicadores de saneamento foram extraídos do Sistema Nacional de Saneamento – SNIS, sendo que foram utilizados os índices de atendimento total de esgoto sanitário e o índice de atendimento total de abastecimento de água para os municípios estudados. Após o levantamento dos dados, foram analisados e comparados às doenças e os indicadores de saneamento através de uma estatística básica, correlação de Pearson e por fim, analisados através de uma análise de agrupamentos. Concluiu-se que as diarreias e a amebíase estão fortemente relacionadas à falta de rede de abastecimento de água e que a leptospirose, febre tifoide e a hepatite estão relacionadas à falta de esgotamento sanitário.