Sulfur dioxide emissions from Popocatépetl volcano (Mexico): case study of a high-emission rate, passively degassing erupting volcano

2001 ◽  
Vol 108 (1-4) ◽  
pp. 107-120 ◽  
Author(s):  
H Delgado-Granados ◽  
L Cárdenas González ◽  
N Piedad Sánchez
Keyword(s):  
Sulfur Dioxide ◽  
Emission Rate ◽  
Sulfur Dioxide Emissions ◽  
Popocatépetl Volcano ◽  
High Emission ◽  
Popocatepetl Volcano

scholarly journals An Improved Metabolism Grey Model for Predicting Small Samples with a Singular Datum and Its Application to Sulfur Dioxide Emissions in China

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Zhou ◽  
Demei Zhang
Keyword(s):  
Sulfur Dioxide ◽  
Grey Model ◽  
Small Samples ◽  
Grey Prediction ◽  
Economic Data ◽  
Time Data ◽  
Sulfur Dioxide Emissions ◽  
Study Results ◽  
Standard Level

This study proposes an improved metabolism grey model [IMGM(1,1)] to predict small samples with a singular datum, which is a common phenomenon in daily economic data. This new model combines the fitting advantage of the conventional GM(1,1)in small samples and the additional advantages of the MGM(1,1)in new real-time data, while overcoming the limitations of both the conventional GM(1,1)and MGM(1,1)when the predicted results are vulnerable at any singular datum. Thus, this model can be classified as an improved grey prediction model. Its improvements are illustrated through a case study of sulfur dioxide emissions in China from 2007 to 2013 with a singular datum in 2011. Some features of this model are presented based on the error analysis in the case study. Results suggest that if action is not taken immediately, sulfur dioxide emissions in 2016 will surpass the standard level required by the Twelfth Five-Year Plan proposed by the China State Council.

scholarly journals Critical assessment of pressure estimates in volcanic plumbing systems: The case study of Popocatépetl volcano, Mexico

Lithos ◽  
2021 ◽  
pp. 106540
Author(s):  
Simone Tommasini ◽  
Luca Bindi ◽  
Lorenzo Savia ◽  
Martin F. Mangler ◽  
Andrea Orlando ◽  
...  
Keyword(s):  
Critical Assessment ◽  
Popocatépetl Volcano ◽  
Plumbing Systems ◽  
Popocatepetl Volcano

Identification of the Airspace Affected by the Presence of Volcanic Ash by Processing Satellite Images, Case Study: Popocatepétl Volcano Area

2021 ◽  
Author(s):  
José Carlos Jiménez-Escalona ◽  
Ramon S. Aparicio-García ◽  
Julie Roberge ◽  
José Eduardo Ávila-Razo ◽  
José Luis Poom-Medina ◽  
...  
Keyword(s):  
Satellite Images ◽  
Training Data ◽  
Predictive Tool ◽  
Commercial Aviation ◽  
Wind Analysis ◽  
Popocatépetl Volcano ◽  
History Of ◽  
Predominant Direction ◽  
Popocatepetl Volcano

Abstract A volcanic eruption can affect large areas of the atmosphere around the volcano. Commercial aviation uses these zones the airspace as a navigation zone. Encountering these ash clouds can cause severe damage to different parts of the aircraft, mainly the engines. This work aims to generate a predictive tool based on the frequency of affectation of the airspace areas around a volcano with eruptive activity, taking the Popocatépetl volcano as a case study. Was carried temporal wind analysis at different atmosphere levels to identifying direction towards which wind disperses ash in year months. This information shown two representative seasons in the direction of dispersion: the first from November to May and the second from July to September, taking into account that June and October are transitional months and therefore do not present a predominant direction. To identify the ash cloud and estimate its area, a set of MODIS images was compiled that recorded the activity in the period 2000-2014. These satellite images were subjected to a semi-automatic digital pre-processing of binarization by thresholds according to the level of the Brightness Temperature Difference between band 31 and band 32, followed by manual evaluation of each binarized image. The result of those above pre-processing was a set of pixels with spatial (longitude and latitude) and temporal (date) description, from which the history of the areas affected by ash permanence was obtained. Additionally, a set of pixels evaluated and labeled in table form could be used as training data for future artificial intelligence applications to automatically detect and discriminate ash clouds.

scholarly journals Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

2008 ◽  
Vol 170 (1-2) ◽  
pp. 99-110 ◽  
Author(s):  
C. Huggel ◽  
D. Schneider ◽  
P. Julio Miranda ◽  
H. Delgado Granados ◽  
A. Kääb
Keyword(s):  
Srtm Dem ◽  
Popocatépetl Volcano ◽  
Popocatepetl Volcano

Spatial and temporal b-value characterization at Popocatépetl volcano, Central Mexico

2021 ◽  
pp. 107320
Author(s):  
Quetzalcoatl Rodríguez-Pérez ◽  
Marisol Monterrubio-Velasco ◽  
F. Ramón Zúñiga ◽  
Carlos M. Valdés-González ◽  
Raúl Arámbula-Mendoza
Keyword(s):  
B Value ◽  
Central Mexico ◽  
Popocatépetl Volcano ◽  
Popocatepetl Volcano
Sign in / Sign up

Export Citation Format

Share Document