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Research Article | | Peer-Reviewed

Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa)

Hilaire Kougbeagbede*,  Mamadou Waïdi Onah,  Arnaud Houeto,  Ferdinand Sourou Hounvou
Published in American Journal of Environmental Protection (Volume 13, Issue 6)
Received: 22 October 2024     Accepted: 9 November 2024     Published: 28 November 2024
Views:       Downloads:
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Abstract

Climate variability poses new risks and uncertainties. In the sub-Saharan region, the impacts are already being felt and represent an additional level of obstacles for most vulnerable people, as well as a threat to sustainable development. This study analyzes the variability of precipitation in Benin using new approaches. The precipitation data used is the monthly average recorded at synoptic stations from 1970 to 2019 by the Metéo-Bénin agency. Two innovative graphical trend methods, innovative polygon trend analysis (IPTA) and trend polygon star concept (TPSC), are applied to the data. Both methods allow for the assessment of periodic characteristics of the monthly average rainfall and visually interpreting the transition trends between two consecutive months. The results show that the average monthly precipitation does not follow a regular pattern. There is also a general upward trend in precipitation for most months at the stations used. Most TPSC arrows were found in regions I and III. According to the TPSC graphs, the longest transition arrows between two consecutive months were observed in quadrant III. They were noted between the months of June and July in Cotonou, October and November in Bohicon and Save, and between September and October for the remaining stations. The results of this study are of great importance for policies regarding ongoing climate change in the agricultural, health, economic, security, and environmental sectors.

Published in American Journal of Environmental Protection (Volume 13, Issue 6)
DOI 10.11648/j.ajep.20241306.15
Page(s) 209-218
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

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Keywords

IPTA, TPSC, Polygonal Trends, Climate Change, Rainfall Trends, Benin, West Africa

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    Kougbeagbede, H., Onah, M. W., Houeto, A., Hounvou, F. S. (2024). Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa). American Journal of Environmental Protection, 13(6), 209-218. https://doi.org/10.11648/j.ajep.20241306.15

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    Kougbeagbede, H.; Onah, M. W.; Houeto, A.; Hounvou, F. S. Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa). Am. J. Environ. Prot. 2024, 13(6), 209-218. doi: 10.11648/j.ajep.20241306.15

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    Kougbeagbede H, Onah MW, Houeto A, Hounvou FS. Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa). Am J Environ Prot. 2024;13(6):209-218. doi: 10.11648/j.ajep.20241306.15

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  • @article{10.11648/j.ajep.20241306.15,
  author = {Hilaire Kougbeagbede and Mamadou Waïdi Onah and Arnaud Houeto and Ferdinand Sourou Hounvou},
  title = {Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa)
},
  journal = {American Journal of Environmental Protection},
  volume = {13},
  number = {6},
  pages = {209-218},
  doi = {10.11648/j.ajep.20241306.15},
  url = {https://doi.org/10.11648/j.ajep.20241306.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20241306.15},
  abstract = {Climate variability poses new risks and uncertainties. In the sub-Saharan region, the impacts are already being felt and represent an additional level of obstacles for most vulnerable people, as well as a threat to sustainable development. This study analyzes the variability of precipitation in Benin using new approaches. The precipitation data used is the monthly average recorded at synoptic stations from 1970 to 2019 by the Metéo-Bénin agency. Two innovative graphical trend methods, innovative polygon trend analysis (IPTA) and trend polygon star concept (TPSC), are applied to the data. Both methods allow for the assessment of periodic characteristics of the monthly average rainfall and visually interpreting the transition trends between two consecutive months. The results show that the average monthly precipitation does not follow a regular pattern. There is also a general upward trend in precipitation for most months at the stations used. Most TPSC arrows were found in regions I and III. According to the TPSC graphs, the longest transition arrows between two consecutive months were observed in quadrant III. They were noted between the months of June and July in Cotonou, October and November in Bohicon and Save, and between September and October for the remaining stations. The results of this study are of great importance for policies regarding ongoing climate change in the agricultural, health, economic, security, and environmental sectors. 
},
 year = {2024}
}

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  • TY  - JOUR
T1  - Applications of Innovative Polygon Trend Analysis and Trend Polygon Star Concept Methods for the Variability of Precipitation at Synoptic Stations in Benin (West Africa)

AU  - Hilaire Kougbeagbede
AU  - Mamadou Waïdi Onah
AU  - Arnaud Houeto
AU  - Ferdinand Sourou Hounvou
Y1  - 2024/11/28
PY  - 2024
N1  - https://doi.org/10.11648/j.ajep.20241306.15
DO  - 10.11648/j.ajep.20241306.15
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 209
EP  - 218
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20241306.15
AB  - Climate variability poses new risks and uncertainties. In the sub-Saharan region, the impacts are already being felt and represent an additional level of obstacles for most vulnerable people, as well as a threat to sustainable development. This study analyzes the variability of precipitation in Benin using new approaches. The precipitation data used is the monthly average recorded at synoptic stations from 1970 to 2019 by the Metéo-Bénin agency. Two innovative graphical trend methods, innovative polygon trend analysis (IPTA) and trend polygon star concept (TPSC), are applied to the data. Both methods allow for the assessment of periodic characteristics of the monthly average rainfall and visually interpreting the transition trends between two consecutive months. The results show that the average monthly precipitation does not follow a regular pattern. There is also a general upward trend in precipitation for most months at the stations used. Most TPSC arrows were found in regions I and III. According to the TPSC graphs, the longest transition arrows between two consecutive months were observed in quadrant III. They were noted between the months of June and July in Cotonou, October and November in Bohicon and Save, and between September and October for the remaining stations. The results of this study are of great importance for policies regarding ongoing climate change in the agricultural, health, economic, security, and environmental sectors. 

VL  - 13
IS  - 6
ER  -

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