Comparação de Métodos de Estimativa da Radiação Solar Ultravioleta Horária: Modelos Empíricos, Redes Neurais Artificiais e Máquina de Vetores de Suporte

Teramoto, Érico Tadao; Santos, Cícero Manoel dos; Escobedo, João Francisco; Pai, Alexandre Dal; Silva, Sílvia Helena Modenese Gorla da

doi:10.1590/0102-7786351010

Cited by 7 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several other works of this type were carried out abroad [8] [14] [15] [16] [18] [19], and in Brazil [9] [17] [20] and [21] which clearly demonstrated the character of local UV fraction (F UV ) or the linear relation between UV and global irradiation, as can be seen in Table 1.…”

Section: Introductionmentioning

confidence: 92%

On the Development of Spatial/Temporal Solar UV Irradiation Maps: A Case Study in Pernambuco State (Northeast of Brazil)

Tiba,

Azevêdo

2023

JGIS

View full text Add to dashboard Cite

This work summarizes recently published information on the solar UV broadband irradiation of Pernambuco, Northeast of Brazil. We describe the spatial and temporal distribution of solar UV radiation and its relationship with climatic and geographical conditions. Statistical experimental correlation between solar total irradiation and UV broadband obtained for 03 locations was generalized by the use of Koppen-Geiger Climatic criterium, which was used for mapping the spatial/temporal distribution of broadband UV. The climatological solar radiations used in the correlations were obtained by modeling through satellite and previously verified with terrestrial data. We present one map with the location of the recording stations where the statistical correlations were measured, one annual and 12 monthly contour maps describing monthly daily solar UV radiation levels throughout the territory of Pernambuco. The solar UV irradiation ("broadband") annual-average daily value in the State of Pernambuco varied from 226 to 268 Wh/m 2 . Seasonal variation of solar UV irradiation in the State of Pernambuco follows, in general and as expected, the climate, relief and seasons of the year. The highest value of monthly solar UV irradiation was observed in the central south region of the state, more precisely in Belém do São Francisco, Floresta, Ibimirim and Buíque in the month of December (summer), with 311.8 Wh/m 2 . The lower value was found in the south Agreste region, in Garanhuns and Caruaru, in the month of June (winter), with 162.2 Wh/m 2 .

show abstract

Section: Introductionmentioning

confidence: 92%

On the Development of Spatial/Temporal Solar UV Irradiation Maps: A Case Study in Pernambuco State (Northeast of Brazil)

Tiba,

Azevêdo

2023

JGIS

View full text Add to dashboard Cite

show abstract

“…For Teramoto et al (2020), neural networks are made up of neurons capable of processing information efficiently. Using a data set and a training program, the algorithm allows estimating values closer to reality.…”

Section: Model Validationmentioning

confidence: 99%

“…This algorithm is based on the least squares method, seeking to find the most appropriate adjustment for a given set of data, minimizing residues between the real data and the adjustment curve. Its resolution is given by the following equation (França et al, 2009):…”

Section: Model Validationmentioning

confidence: 99%

Fuzzy Modeling of the Effects of Different Irrigation Depth in Radish Crop. Part Ii: Biometric Variables Analysis

et al. 2021

View full text Add to dashboard Cite

In order to estimate the response of biometric variables in different irrigation depths in radish crop, as well as their relations in the development of the crop, a fuzzy mathematical analysis was carried out from irrigation with depths of different percentages of the crop evapotranspiration (ETc), using Gaussian pertinence functions for the input variable and triangular for the biometric output variables. Validations were performed using neural network models, smoothing splines and polynomial regression. The relation among the biometric variables was measured applying the Pearson correlation coefficient. The results showed that the fuzzy modeling presented superiority in the crop development estimate over the quadratic polynomial regression model, neural network and smoothing splines, because it achieved an average reduction of errors among the biometric variables, of 7.8% 94.6% and 9.2% for the RMSE in the respective models, as well as a better adjustment of the data with average R 2 of the variables. The modeling with neural network showed inadequate agronomic behavior in data representation. Regarding biometric variables, the length and diameter of the tuberous root are inversely correlated, and the fresh phytomass of the tuberous root is correlated only with the fresh phytomass of the root.

show abstract

“…In Brazil, there are still few cities monitoring surface UVR, and fewer are those monitoring it continuously for more than 10 years (Teramoto et al, 2014). In the Brazilian Amazon region, the lack of ground-based UVR data is even greater (Reis et al, 2022) with only two published papers using ground-based UVR measurements in the region.…”

Section: Introductionmentioning

confidence: 99%

UV index seasonal variability in an Amazonian city of Brazil based on satellite data

Pinheiro,

Reis,

Bencherif

et al. 2023

CeN

View full text Add to dashboard Cite

The solar ultraviolet radiation - UV (280-400 nm) is a highly energetic component of the solar spectrum that needs to be monitored especially because of the effects on human health and on the ecosystems. The UV index (UVI) is a dimensionless indicator designed to report the intensity of UV incident on the Earth’s surface. It has five exposure categories, ranging from low to extreme, with recommended sun protections at each level. The higher the value, the greater the health risk. With only few stations reporting long-term ground-based UV measurements in several countries, which significantly restricts its extrapolations to all populated areas, a way for continuous monitoring UV on a global scale is through satellites. In this work, the monthly and seasonal variability of the incident UVI in Santarém, Pará, was analyzed. For this, a 13-year time series of daily UVI data from the OMI satellite instrument was used, as well as the 13-year UVI time series from the GOME-2 satellite instrument. According to the results, the dry period (July to December) shows higher average UVI than the rainy period (January to June) for the GOME-2 time series. The rainy period, on the other hand, in both series presents greater amplitude in the variability of the UVI.

show abstract

Comparação de Métodos de Estimativa da Radiação Solar Ultravioleta Horária: Modelos Empíricos, Redes Neurais Artificiais e Máquina de Vetores de Suporte

Cited by 7 publications

References 38 publications

On the Development of Spatial/Temporal Solar UV Irradiation Maps: A Case Study in Pernambuco State (Northeast of Brazil)

On the Development of Spatial/Temporal Solar UV Irradiation Maps: A Case Study in Pernambuco State (Northeast of Brazil)

Fuzzy Modeling of the Effects of Different Irrigation Depth in Radish Crop. Part Ii: Biometric Variables Analysis

UV index seasonal variability in an Amazonian city of Brazil based on satellite data

Contact Info

Product

Resources

About