Poma Porras, Orlando Alan
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Poma Porras, Orlando Alan
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ORCID
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ID de investigador
Q-6964-2017
20 resultados
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Item type:Publicación, Observations of electric fields during two partial solar eclipses at the geomagnetic equator(2025-12-03) ;Bravo, Manuel A.; ;Godoy, Adán; Urra, Benjamín A.Abstract. This study presents the first coordinated observations of atmospheric electric field (AEF) and ionospheric plasma drifts during the partial solar eclipses of 2 July 2019 and 14 October 2023, observed near the magnetic equator in Lima, Peru. AEF was measured using a field mill, while ionospheric drifts were obtained from radar observations at the Jicamarca Radio Observatory and local magnetometers. The two events displayed contrasting electrodynamic responses: in 2019, AEF variations were ambiguous due to meteorological fluctuations, while in 2023, clearer weather conditions revealed distinct decreases in both surface AEF and ionospheric vertical drift near maximum obscuration. These results demonstrate the variable nature of eclipse-time electrodynamics and demonstrate that simultaneous measurements of AEF and ionospheric electric field are crucial for elucidating the mechanisms of vertical coupling between atmospheric layers. Such coordinated observations provide preliminary insight into how solar and terrestrial drivers jointly modulate the near-surface electric environment, contributing to a more comprehensive understanding of atmosphere–ionosphere interactions in low-latitude regions.Citas (OpenAlex): 0metric-badges.view 11 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
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) ;Esperante, Raúl ;Brand, Leonard R. ;Chadwick, Arthur V.Citas (OpenAlex): 56metric-badges.view 5 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru(2021-09-16); ; ;Sumire, David A.; Echevarria, Maycol O.Environmental pollution and its effects on global warming and climate change are a key concern for all life on our planet. That is why meteorological variables such as maximum temperature, solar radiation, and ultraviolet levels were analyzed in this study, with a...Citas (OpenAlex): 1metric-badges.view 6 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
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); ;Sumire, David A.; Saavedra, Carlos E.Global warming and climate change is a latent problem nowadays because it affects the quality of life of living beings that inhabit an electric planet; therefore, the atmosphere is charged with ions that constantly interact and achieve a continuous balance. Likewise,...Citas (OpenAlex): 2metric-badges.view 11 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Tectonomagmatic histories of western South America and southern Africa(2018-12-12) ;Pompe, Lance ;Clausen, B. L. ;Paterson, Scott R. ;Kalapula, ShepandeUpreti, Bishal NathCitas (OpenAlex): 0metric-badges.view 3 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Biodegradation of Low-Density Polyethylene—LDPE by the Lepidopteran Galleria Mellonella Reusing Beekeeping Waste(2022-09-09); ;Ricce, Betty ;Beraún, Jeyson; Plastic pollution is one of the most serious environmental problems of this century because most plastics are single-use, and once their useful life is over, they become pollutants, since their decomposition takes approximately 100–400 years. The objective of this research is to evaluate the efficacy of low-density polyethylene (LDPE) biodegradation by G. mellonella in the district of Pangoa, Junín, Peru. For the development of the study, the G. mellonella was conditioned in three groups of beekeeping residues (beeswax, balanced diet, and wheat bran); after the conditioning stage, the biodegradation treatment was developed, which consisted of placing the G. mellonella in terrariums with the LDPE, the treatments were carried out at three different times (24, 36, and 48 h). To evaluate the efficacy of biodegradation, two analyses were taken into account: the Raman analysis of the low-density polyethylene samples and the weight reduction of the treated LDPE. The results of the Raman analysis indicated that the best treatment was the one applied with G. mellonella conditioned with beeswax, obtaining a wavelength intensity of 0.45 μ.a., while the weight reduction of the LDPE indicated that the best results were given at 36 h and conditioned with beeswax with a reduction of 236.3 mg. In conclusion, the use of G. mellonella for the biodegradation of low-density polyethylene is effective when it is conditioned with beeswax and the treatment is carried out at 36 h.Citas (OpenAlex): 12metric-badges.view 6 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
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) ;Gonzalez, L. U. ;Holk, Gregory J. ;Clausen, B. L.Citas (OpenAlex): 0metric-badges.view 4 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
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); ; ;Sumire, David A; Abstract 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 .Citas (OpenAlex): 1metric-badges.view 10 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Quantitative Analysis of Climatic Variability in Relation to Surface Loss with Landsat Data in Peruvian Snow-Capped Mountains 2010–2020(2022-01-01) ;Flores Kancha, Anthony ;Torres Agüero, Jair; ; Climate change is affecting the planet due to lack of information regarding its temperatures, precipitation and decrease in the surface area of the snow-capped mountains, which causes a high impact on the melting of the snow-capped mountains, for this reason it is...Citas (OpenAlex): 0metric-badges.view 6