Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)

Alain Ibikunle Ague; Cyr Gervais Etene; Ibouraima Yabi

doi:doi:10.11648/j.ijdsa.20220805.16

| Peer-Reviewed

Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)

Alain Ibikunle Ague, Cyr Gervais Etene, Ibouraima Yabi

Published in International Journal of Data Science and Analysis (Volume 8, Issue 5)

Received: 10 September 2022 Accepted: 8 October 2022 Published: 28 October 2022

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Benin has experienced a significant variation in rainfall with prolonged drought since 1970. In view of the consequences of this extreme phenomenon on vital sectors, such as agriculture, updating the results previously obtained is obviously essential to guarantee optimal management of water resources. The present study aims to characterize the drought in the Alibori watershed in northern Benin. The climatic data used are those made available by the National Aeronautics and Space Administration (NASA) through its POWER “Prediction of Worldwide Energy Resources”; they cover the period from 1981 to 2018. Four approaches were used to assess drought in the basin: the Standardized Precipitation Index, the Climatic Moisture Index, the segmentation of Hubert and Spearman's correlation. The analysis of the precipitation data shows decreasing trends in the lower part of the basin and increasing trends in the middle and upper part. Over the period from 1981 to 2018, we note that the frequency of moderate and severe droughts varies respectively between 31.8% to 39.47% and 15.79% to 18.42%. Extreme drought was observed in 2000 west of the middle part of the Alibori watershed around the point of Latitude 11.0645 and Longitude 2.2944. The data used clearly highlights drought situations in the Alibori watershed.

Published in	International Journal of Data Science and Analysis (Volume 8, Issue 5)
DOI	10.11648/j.ijdsa.20220805.16
Page(s)	157-162
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.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Drought, Alibori, Characterization, POWER

References

[1]	Houndenou C., 1999. Climate variability and maize production in the humid tropics, diagnosis and modeling: The example of Benin. Unique doctoral thesis. University of Bourgogne. Dijon, 341 p.
[2]	Ogouwalé E., 2006. Climate change in southern and central Benin: indicators, scenarios and food security outlook. Thesis presented to obtain the Diploma of Unique Doctorate of the University of Abomey-Calavi, 302 p.
[3]	Chédé F., 2012. Vulnerability and adaptation strategies to climate change of farmers in the Department of Collines in Benin: case of the commune of Save, Master's thesis on climate change, Niamey, Agrhymet, 65 p.
[4]	Yabi I. and Afouda F., 2012. Extreme rainfall years in Benin (West Africa). Quaternary International. 262 (7): 39-43.
[5]	Issa M. S., 2012. Climate change and agro-systems in Middle Benin: Impacts and adaptation strategies. Unique doctoral thesis in geography, UAC/FLASH/EDP, 278 p.
[6]	Boko M. Kosmowski F. and Vissin E. W., 2012. The Challenges of Climate Change in Benin. Konrad-Adenauer-Stiftung Program for Policy Dialogue in West Africa, Cotonou, Benin, 72p.
[7]	Chanzy A., Martin G., Colbach N., Gosme M., Launay M., Loyce C., Métay A. and Novak S., 2015, " Adaptation of crops and cropping systems to climate change and new uses ", National Institute of Agronomic Research, Val de Loi Research Center, Orleans, France, www.ea.inra.fr, 10 July 2015, 5 p.
[8]	Vodounou J. B. K. and Doubogan Y. O., 2016. Peasant agriculture and climate change adaptation strategies in North Benin, Cybergeo: European Journal of Geography [Online], Environment, Nature, Landscape, document 794, uploaded 15 November 2016, accessed 28 November 2019. URL: http://journals.openedition.org/cybergeo/27836; DOI: 10.4000/cybergeo.27836.
[9]	Yabi I., Ogouwalé E, Afouda F. and Boko M., 2011. Climatic constraints and agricultural development in Benin. Annals of the Faculty of Letters, Arts and Human Sciences (FLASH) of Benin, 17 (2): pp. 13-30.
[10]	Wokou G., Abdoulaye D., Yabi I., Ogouwalé E. and Boko M., 2015. Climate change and socio-economic implications of farmers' adaptation strategies on the Agonlin plateau in Benin (West Africa). Journal of Geography of the University of Ouagadougou, 4 (2): pp. 169-190.
[11]	Ogouwalé E., Woou R., Yabi I., Toko I., Eténé C., Ezin V., Atidogbé G., Koumassi H., Wokou G., Boko P. and Hounkarin B., 2018. Vulnerability of agrosystems to climate change in the second agricultural development pole: diagnostic analysis and prospective modeling (VULNAGROSY). In Competitive Research Fund Program, phase III, 2019-2024. University of Abomey-Calavi (Benin), pp. 275-308.
[12]	Ouédraogo C. L. V., 2005. Hydrological modeling of the Bani basin by the GeoSFM model for the prediction and evaluation of climate change impacts. Thesis of Design Engineer in Civil Engineering. ENI: 85p.
[13]	Mckee T. B., Doesken N. J. and Kleist J., 1993. The relationship of drought frequency and duration to time scale. Actes de la 8th Conference on Applied Climatology (Anaheim, Californie), p. 179-184.
[14]	W. M. O. 2016. Manual of drought indicators and indices. World Meteorological Organization (WMO) -N° 1173.
[15]	Wu H., Hayes M. J., Weiss A. and Hu Q., 2001. An evaluation of the Standardized Precipitation Index, the China Z-index and the statistical Z-score. International Journal of Climatology, vol. 21, n° 6, p. 745-758.
[16]	Bodian A., 2014. Characterization of recent temporal variability of annual rainfall in Senegal (West Africa). Physio-Geo - Physical Geography and Environment, (8): p. 297-312.
[17]	Willmott C. J. and Feddema J. J., 1992. A more rational Climatic Moisture Index. The Professional Geographer, (44): p. 84-88.
[18]	Vörösmarty C. J., Douglas E. M., Green P. A. and Revenga C., 2005. Geospatial indicators of emerging water stress: an application to Africa. Ambio, 3 (34): p. 230-¬237.
[19]	Faye C., Sow A. A. and Ndong J. B., 2015. Study of rainfall and hydrological droughts in tropical Africa: characterization and mapping of drought by indices in the upper Senegal River basin. Physio-Geo, (9): p. 17-35.
[20]	Riou C., 1975. The practical determination of evaporation. Application to Central Africa. Édit. ORSTOM, collection "Memoirs ", n°80, Paris, 236 p.
[21]	Allen R. G., Pereira L. S., Raes D. and Smith M., 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. Édit. FAO, Irrigation and Drainage Paper 56, Rome, Italie, 300 p.
[22]	Djikou S. M., 2006. Calculation of Penmann-Montheith PTE at different time steps at four sites in the Upper Oueme Basin Édit. IRD-AMMA, 35 p.
[23]	Hubert P., Carbonnel J. P. and Chaouche A., 1989. Segmentation of hydrometeorological series. Application to precipitation and flow series in West Africa. Journal of Hydrology, n° 3-4 (110): p. 349-367.
[24]	Kendall S. M. and Stuart A., 1943. The Advanced Theory of Statistic. Édit. Charles GRIFFIN (édition 1977), Londres (Grande-Bretagne), 1275 p.
[25]	Paturel, J. E., Boubacar, I., L'Aour, A., and Mahé, G., 2010. Rainfall grid analyses and main features of 20th century changes in West and Central Africa. Hydrological Sciences Journal–Journal des Sciences Hydrologiques, 55 (8): 1281-1288.
[26]	IPCC, 2013. Summary for Policymakers, Climate Change 2013: The Science. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. [Under the direction of Stocker, T. F., D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex et P. M. Midgley]. Cambridge University Press, Cambridge, United Kingdom and New York (New York State), United States of America, 34p.
[27]	Djohy G. L., Boï Wosso E. and Kinzo N. E., 2015. Climatic variability and cotton production in the commune of Kandi in northern Benin. XXVIIIth Colloquium of the International Association of Climatology, Liege 2015.
[28]	Ague I. A., 2021. Vulnerability of surface water resources to climate change and adaptation strategies for the promotion of climate-smart agriculture in the Second Agricultural Development Pole (PDA2) (Niger Basin). Thesis presented to obtain the Diploma of Unique Doctorate of the University of Abomey-Calavi, 250 p.
[29]	CILSS Agrhymet 2015. Climate-smart agriculture, a winning solution to the challenge of food insecurity and the fight against desertification in the Sahel and West Africa Note to decision makers, Niamey, Niger, 9p.

Cite This Article

Plain Text BibTeX RIS

APA Style

Alain Ibikunle Ague, Cyr Gervais Etene, Ibouraima Yabi. (2022). Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). International Journal of Data Science and Analysis, 8(5), 157-162. https://doi.org/10.11648/j.ijdsa.20220805.16

Copy | Download

ACS Style

Alain Ibikunle Ague; Cyr Gervais Etene; Ibouraima Yabi. Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). Int. J. Data Sci. Anal. 2022, 8(5), 157-162. doi: 10.11648/j.ijdsa.20220805.16

Copy | Download

AMA Style

Alain Ibikunle Ague, Cyr Gervais Etene, Ibouraima Yabi. Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). Int J Data Sci Anal. 2022;8(5):157-162. doi: 10.11648/j.ijdsa.20220805.16

Copy | Download

@article{10.11648/j.ijdsa.20220805.16,
  author = {Alain Ibikunle Ague and Cyr Gervais Etene and Ibouraima Yabi},
  title = {Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)},
  journal = {International Journal of Data Science and Analysis},
  volume = {8},
  number = {5},
  pages = {157-162},
  doi = {10.11648/j.ijdsa.20220805.16},
  url = {https://doi.org/10.11648/j.ijdsa.20220805.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20220805.16},
  abstract = {Benin has experienced a significant variation in rainfall with prolonged drought since 1970. In view of the consequences of this extreme phenomenon on vital sectors, such as agriculture, updating the results previously obtained is obviously essential to guarantee optimal management of water resources. The present study aims to characterize the drought in the Alibori watershed in northern Benin. The climatic data used are those made available by the National Aeronautics and Space Administration (NASA) through its POWER “Prediction of Worldwide Energy Resources”; they cover the period from 1981 to 2018. Four approaches were used to assess drought in the basin: the Standardized Precipitation Index, the Climatic Moisture Index, the segmentation of Hubert and Spearman's correlation. The analysis of the precipitation data shows decreasing trends in the lower part of the basin and increasing trends in the middle and upper part. Over the period from 1981 to 2018, we note that the frequency of moderate and severe droughts varies respectively between 31.8% to 39.47% and 15.79% to 18.42%. Extreme drought was observed in 2000 west of the middle part of the Alibori watershed around the point of Latitude 11.0645 and Longitude 2.2944. The data used clearly highlights drought situations in the Alibori watershed.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)
AU  - Alain Ibikunle Ague
AU  - Cyr Gervais Etene
AU  - Ibouraima Yabi
Y1  - 2022/10/28
PY  - 2022
N1  - https://doi.org/10.11648/j.ijdsa.20220805.16
DO  - 10.11648/j.ijdsa.20220805.16
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 157
EP  - 162
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20220805.16
AB  - Benin has experienced a significant variation in rainfall with prolonged drought since 1970. In view of the consequences of this extreme phenomenon on vital sectors, such as agriculture, updating the results previously obtained is obviously essential to guarantee optimal management of water resources. The present study aims to characterize the drought in the Alibori watershed in northern Benin. The climatic data used are those made available by the National Aeronautics and Space Administration (NASA) through its POWER “Prediction of Worldwide Energy Resources”; they cover the period from 1981 to 2018. Four approaches were used to assess drought in the basin: the Standardized Precipitation Index, the Climatic Moisture Index, the segmentation of Hubert and Spearman's correlation. The analysis of the precipitation data shows decreasing trends in the lower part of the basin and increasing trends in the middle and upper part. Over the period from 1981 to 2018, we note that the frequency of moderate and severe droughts varies respectively between 31.8% to 39.47% and 15.79% to 18.42%. Extreme drought was observed in 2000 west of the middle part of the Alibori watershed around the point of Latitude 11.0645 and Longitude 2.2944. The data used clearly highlights drought situations in the Alibori watershed.
VL  - 8
IS  - 5
ER  -

Copy | Download

Author Information

Alain Ibikunle Ague

Pierre Pagney Laboratory on Climate, Water, Ecosystem and Development, Department of Geography and Land Management, University of Abomey Calavi, Godomey, Benin
Cyr Gervais Etene

Pierre Pagney Laboratory on Climate, Water, Ecosystem and Development, Department of Geography and Land Management, University of Abomey Calavi, Godomey, Benin
Ibouraima Yabi

Pierre Pagney Laboratory on Climate, Water, Ecosystem and Development, Department of Geography and Land Management, University of Abomey Calavi, Godomey, Benin

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Alain Ibikunle Ague, Cyr Gervais Etene, Ibouraima Yabi. (2022). Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). International Journal of Data Science and Analysis, 8(5), 157-162. https://doi.org/10.11648/j.ijdsa.20220805.16

Copy | Download

ACS Style

Alain Ibikunle Ague; Cyr Gervais Etene; Ibouraima Yabi. Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). Int. J. Data Sci. Anal. 2022, 8(5), 157-162. doi: 10.11648/j.ijdsa.20220805.16

Copy | Download

AMA Style

Alain Ibikunle Ague, Cyr Gervais Etene, Ibouraima Yabi. Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa). Int J Data Sci Anal. 2022;8(5):157-162. doi: 10.11648/j.ijdsa.20220805.16

Copy | Download

@article{10.11648/j.ijdsa.20220805.16,
  author = {Alain Ibikunle Ague and Cyr Gervais Etene and Ibouraima Yabi},
  title = {Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)},
  journal = {International Journal of Data Science and Analysis},
  volume = {8},
  number = {5},
  pages = {157-162},
  doi = {10.11648/j.ijdsa.20220805.16},
  url = {https://doi.org/10.11648/j.ijdsa.20220805.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20220805.16},
  abstract = {Benin has experienced a significant variation in rainfall with prolonged drought since 1970. In view of the consequences of this extreme phenomenon on vital sectors, such as agriculture, updating the results previously obtained is obviously essential to guarantee optimal management of water resources. The present study aims to characterize the drought in the Alibori watershed in northern Benin. The climatic data used are those made available by the National Aeronautics and Space Administration (NASA) through its POWER “Prediction of Worldwide Energy Resources”; they cover the period from 1981 to 2018. Four approaches were used to assess drought in the basin: the Standardized Precipitation Index, the Climatic Moisture Index, the segmentation of Hubert and Spearman's correlation. The analysis of the precipitation data shows decreasing trends in the lower part of the basin and increasing trends in the middle and upper part. Over the period from 1981 to 2018, we note that the frequency of moderate and severe droughts varies respectively between 31.8% to 39.47% and 15.79% to 18.42%. Extreme drought was observed in 2000 west of the middle part of the Alibori watershed around the point of Latitude 11.0645 and Longitude 2.2944. The data used clearly highlights drought situations in the Alibori watershed.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Characterization of Meteorological Drought in the Alibori Watershed (North Benin, West Africa)
AU  - Alain Ibikunle Ague
AU  - Cyr Gervais Etene
AU  - Ibouraima Yabi
Y1  - 2022/10/28
PY  - 2022
N1  - https://doi.org/10.11648/j.ijdsa.20220805.16
DO  - 10.11648/j.ijdsa.20220805.16
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 157
EP  - 162
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20220805.16
AB  - Benin has experienced a significant variation in rainfall with prolonged drought since 1970. In view of the consequences of this extreme phenomenon on vital sectors, such as agriculture, updating the results previously obtained is obviously essential to guarantee optimal management of water resources. The present study aims to characterize the drought in the Alibori watershed in northern Benin. The climatic data used are those made available by the National Aeronautics and Space Administration (NASA) through its POWER “Prediction of Worldwide Energy Resources”; they cover the period from 1981 to 2018. Four approaches were used to assess drought in the basin: the Standardized Precipitation Index, the Climatic Moisture Index, the segmentation of Hubert and Spearman's correlation. The analysis of the precipitation data shows decreasing trends in the lower part of the basin and increasing trends in the middle and upper part. Over the period from 1981 to 2018, we note that the frequency of moderate and severe droughts varies respectively between 31.8% to 39.47% and 15.79% to 18.42%. Extreme drought was observed in 2000 west of the middle part of the Alibori watershed around the point of Latitude 11.0645 and Longitude 2.2944. The data used clearly highlights drought situations in the Alibori watershed.
VL  - 8
IS  - 5
ER  -

Copy | Download