Poma Porras, Orlando Alan
Preferred name
Poma Porras, Orlando Alan
Main Affiliation
Email
opoma@upeu.edu.pe
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20 resultados
Mostrando 1 - 10 de 20
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Item type:Publicación, Exceptional occurrence of fossil baleen in shallow marine sediments of the Neogene Pisco Formation, Southern Peru(2007-11-20); Mario Urbina - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Observations of electric fields during two partial solar eclipses at the geomagnetic equator(2025-12-03); - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Taphonomy and paleoenvironmental conditions of deposition of fossil whales in the diatomaceous sediments of the Miocene/Pliocene Pisco Formation, southern Peru—A new fossil-lagerstätte(2014-10-09) - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, EPISODIC CONTINENTAL ARC MAGMATISM IN THE PERUVIAN ANDES FROM U-PB ZIRCON GEOCHRONOLOGY(2017-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Neural Network Model with Time Series for the Prediction of the Electric Field in the East Lima Zone, Peru(2020-01-01); ; Carlos E. Saavedra - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Predictive Model with Machine Learning for Environmental Variables and PM2.5 in Huachac, Junín, Perú(2025-03-12); PM2.5 pollution is increasing, causing health problems. The objective of this study was to model the behavior of PM2.5AQI (air quality index) using machine learning (ML) predictive models of linear regression, lasso, ridge, and elastic net. A total of 16,543 records from the Huachac, Junin area in Peru were used with regressors of humidity in % and temperature in °C. The focus of this study is PM2.5AQI and environmental variables. Methods: Exploratory data analysis (EDA) and machine learning predictive models were applied. Results: PM2.5AQI has high values in winter and spring, with averages of 52.6 and 36.9, respectively, and low values in summer, with a maximum value in September (spring) and a minimum in February (summer). The use of regression models produced precise metrics to choose the best model for the prediction of PM2.5AQI. Comparison with other research highlights the robustness of the chosen ML models, underlining the potential of ML in PM2.5AQI. Conclusions: The predictive model found was α = 0.1111111 and a Lambda value λ = 0.150025, represented by PM2.5AQI = 83.0846522 − 10.302222000 (Humidity) − 0.1268124 (Temperature). The model has an adjusted R2 of 0.1483206 and an RMSE of 25.36203, and it allows decision making in the care of the environment. - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru(2021-09-16); ; ; Maycol O. Echevarria - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, THE COASTAL BATHOLITH OF PERU: INSIGHTS FROM STABLE ISOTOPES(2019-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru(2022-04-01); ; ; Sulamita Marinela Ramos ChipaAbstract Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, wind speed and the response variable was global solar radiation, resulting in a model with excellent significance p<0.001 that shows the prediction is effective. The multiple linear regression method was used, finding an average global radiation of 175 W/m2 and predictor variables with average temperature of 19.2 °C, humidity 23.9% and wind speed 1.77 m/s, with the highest temperature in summer recorded at 24.6°C, the highest humidity of 51.2% in autumn, the highest wind speed in summer at 2.63 m/s and the highest maximum global solar radiation in spring with 183 W/m 2 . - Some of the metrics are blocked by yourconsent settings
Item type:Publicación, Oxygen and Hydrogen Isotope Values for Unaltered and Hydrothermally Altered Samples from the Cretaceous Linga Plutonic Complex of the Peruvian Coastal Batholith near Ica.(2015-12-18);