Automated Author ProfileNeto, Virgilio Lourenço Silva
Neto, Virgilio Lourenço Silva
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.7 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract This study aimed to map heavy rainfall with durations of 10, 30, 720 and 1440 minutes, associated with return times of 10, 50 and 100 years for the Tocantins State. Historical series of 95 pluviometric stations located in the Tocantins State and nearby were applied, with standard period from 1983 to 2013. A geostatistical study was conducted, evaluating the spherical, exponential and gaussian semivariogram models, adjusted by the weighted least squares method. From this study, the model that presented the smallest average error based on cross-validation was applied to the mapping process by ordinary kriging. There was good performance of the geostatistical techniques, being possible to highlight the spherical model for the mapping of the annual maximum daily precipitation and the Gaussian model for the rains calculated by the methodology of disaggregation. It was also verified that the areas of intense rainfall of greater severity in the state are in the Bico do Papagaio (north), Bananal Island (southwest) and northwest of the state.
Authors
- Neto, Virgilio Lourenço Silva ;
- Viola, Marcelo Ribeiro ;
- Mello, Carlos Rogério ;
- Alves, Marcos Vinicius Giongo ;
- Silva, Demetrius David ;
- Pereira, Silvio Bueno
Abstract This study aimed to map heavy rainfall with durations of 10, 30, 720 and 1440 minutes, associated with return times of 10, 50 and 100 years for the Tocantins State. Historical series of 95 pluviometric stations located in the Tocantins State and nearby were applied, with standard period from 1983 to 2013. A geostatistical study was conducted, evaluating the spherical, exponential and gaussian semivariogram models, adjusted by the weighted least squares method. From this study, the model that presented the smallest average error based on cross-validation was applied to the mapping process by ordinary kriging. There was good performance of the geostatistical techniques, being possible to highlight the spherical model for the mapping of the annual maximum daily precipitation and the Gaussian model for the rains calculated by the methodology of disaggregation. It was also verified that the areas of intense rainfall of greater severity in the state are in the Bico do Papagaio (north), Bananal Island (southwest) and northwest of the state.
Authors
- Neto, Virgilio Lourenço Silva ;
- Viola, Marcelo Ribeiro ;
- Mello, Carlos Rogério ;
- Alves, Marcos Vinicius Giongo ;
- Silva, Demetrius David ;
- Pereira, Silvio Bueno
Abstract This study aimed to map heavy rainfall with durations of 10, 30, 720 and 1440 minutes, associated with return times of 10, 50 and 100 years for the Tocantins State. Historical series of 95 pluviometric stations located in the Tocantins State and nearby were applied, with standard period from 1983 to 2013. A geostatistical study was conducted, evaluating the spherical, exponential and gaussian semivariogram models, adjusted by the weighted least squares method. From this study, the model that presented the smallest average error based on cross-validation was applied to the mapping process by ordinary kriging. There was good performance of the geostatistical techniques, being possible to highlight the spherical model for the mapping of the annual maximum daily precipitation and the Gaussian model for the rains calculated by the methodology of disaggregation. It was also verified that the areas of intense rainfall of greater severity in the state are in the Bico do Papagaio (north), Bananal Island (southwest) and northwest of the state.
Authors
- Neto, Virgilio Lourenço Silva ;
- Viola, Marcelo Ribeiro ;
- Mello, Carlos Rogério ;
- Alves, Marcos Vinicius Giongo ;
- Silva, Demetrius David ;
- Pereira, Silvio Bueno
Abstract This study aimed to map heavy rainfall with durations of 10, 30, 720 and 1440 minutes, associated with return times of 10, 50 and 100 years for the Tocantins State. Historical series of 95 pluviometric stations located in the Tocantins State and nearby were applied, with standard period from 1983 to 2013. A geostatistical study was conducted, evaluating the spherical, exponential and gaussian semivariogram models, adjusted by the weighted least squares method. From this study, the model that presented the smallest average error based on cross-validation was applied to the mapping process by ordinary kriging. There was good performance of the geostatistical techniques, being possible to highlight the spherical model for the mapping of the annual maximum daily precipitation and the Gaussian model for the rains calculated by the methodology of disaggregation. It was also verified that the areas of intense rainfall of greater severity in the state are in the Bico do Papagaio (north), Bananal Island (southwest) and northwest of the state.
Authors
- Neto, Virgilio Lourenço Silva ;
- Viola, Marcelo Ribeiro ;
- Mello, Carlos Rogério ;
- Alves, Marcos Vinicius Giongo ;
- Silva, Demetrius David ;
- Pereira, Silvio Bueno