Analysis of the Maximum Temperature in a Locality of the Coastal Area of the Gulf of Mexico in the Thermoperivallon, from 1981 to 2021

Regression analysis, ANOVA, Tukey's test and statistical models of the behavior of the meteorological variable Maximum Temperature (T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf>) in the range from May 1 to October 31 (thermoperivallon) from 1981 to 2021 were performed. Being able to compare the results of These analyzes with the graphic results could provide a clearer vision of the historical behavior of T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> at the local level in the Veracruz-Boca del Río Conurbation Zone (ZCVB) and the forecast of its future behavior, being a requirement for care. of living beings in this ecosystem. This deep and detailed analysis allows us to find that the behavior pattern of the T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> variable presents a positive slope, which shows maximum temperatures equal to or greater than 31 °C from the year 2009 and continues upward until the end of the year. period analyzed (2021). The regression analysis with its corresponding residuals, allowed us to observe a forecast with also ascending characteristics of the maximum temperatures. Therefore, it can be affirmed that the graphic analysis and the mathematical analysis of the T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> variable is reliable to determine the constant and continuous increase of this in the ZCVB. Finally, the probability of observing temperatures higher than 31 °C is 0.5618.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/icev63254.2024.10766005
Citations
1
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.38
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article

Analysis of the Maximum Temperature in a Locality of the Coastal Area of the Gulf of Mexico in the Thermoperivallon, from 1981 to 2021

Carlos Javier Gasca Caballero, Roberto Díaz Marchetti, Juan Antonio Pinilla Rodríguez, Sergio Román Jara
1 citations
Atmospheric Ozone and Climate
0.38
article

Analysis of the Maximum Temperature in a Locality of the Coastal Area of the Gulf of Mexico in the Thermoperivallon, from 1981 to 2021

Carlos Javier Gasca Caballero, Roberto Díaz Marchetti, Juan Antonio Pinilla Rodríguez, Sergio Román Jara
article en
1 citations

Abstract

Regression analysis, ANOVA, Tukey's test and statistical models of the behavior of the meteorological variable Maximum Temperature (T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf>) in the range from May 1 to October 31 (thermoperivallon) from 1981 to 2021 were performed. Being able to compare the results of These analyzes with the graphic results could provide a clearer vision of the historical behavior of T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> at the local level in the Veracruz-Boca del Río Conurbation Zone (ZCVB) and the forecast of its future behavior, being a requirement for care. of living beings in this ecosystem. This deep and detailed analysis allows us to find that the behavior pattern of the T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> variable presents a positive slope, which shows maximum temperatures equal to or greater than 31 °C from the year 2009 and continues upward until the end of the year. period analyzed (2021). The regression analysis with its corresponding residuals, allowed us to observe a forecast with also ascending characteristics of the maximum temperatures. Therefore, it can be affirmed that the graphic analysis and the mathematical analysis of the T<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</inf> variable is reliable to determine the constant and continuous increase of this in the ZCVB. Finally, the probability of observing temperatures higher than 31 °C is 0.5618.

Life below water
Openalex Percentile: Top 38%
Atmospheric Ozone and Climate
0.38
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