ANALYSIS OF THE FUTURE EVOLUTION OF MAXIMUM CUMULATIVES OF RAINFALL IN THE LOBO BASIN (CENTRAL-WEST OF COTE D'IVOIRE)

Authors

  • Fabrice Blanchard ALLECHY Laboratory of Sciences and Techniques of Water and Environment, UFR STRM, Felix Houphouet-Boigny University, Côte d’Ivoire. fabriceallechy@gmail.com
  • Vami Hermann N’GUESSAN BI Laboratory of Sciences and Techniques of Water and Environment, UFR STRM, Felix Houphouet-Boigny University, Côte d’Ivoire; University Center for Research and Application in Remote Sensing, Felix Houphouet-Boigny University, Ivory Coast. vami@outlook.com
  • Marc YOUAN TA Laboratory of Sciences and Techniques of Water and Environment, UFR STRM, Felix Houphouet-Boigny University, Côte d’Ivoire. University Center for Research and Application in Remote Sensing, Felix Houphouet-Boigny University, Ivory Coast. Corresponding authors: fabriceallechy@gmail.com
  • Fabrice ASSA YAPI Laboratory of Sciences and Techniques of Water and Environment, UFR STRM, Felix Houphouet-Boigny University, Côte d’Ivoire. University Center for Research and Application in Remote Sensing, Felix Houphouet-Boigny University, Ivory Coast. Corresponding authors: fabriceallechy@gmail.com, vami@outlook.com
  • Kouadio AFFIAN Laboratory of Sciences and Techniques of Water and Environment, UFR STRM, Felix Houphouet-Boigny University, Côte d’Ivoire. University Center for Research and Application in Remote Sensing, Felix Houphouet-Boigny University, Ivory Coast. Corresponding authors: fabriceallechy@gmail.com https://orcid.org/0000-0002-9387-2726

DOI:

https://doi.org/10.24193/subbgeogr.2018.2.02

Keywords:

evolution, climate indices, WeaGETS, Lobo

Abstract

This work study analyzes the future evolution of the maximum height of rains on three decades (2014-2023, 2024-2033 and 2034-2043). The WeaGETS third-order Markov model and calculation of climate index was respectively used to predict the field of daily rainfall for the period of 2014-2043 and to calculate three climate indices. The medium criterion of Nash 0.93 and the coefficient of determination medium R2 = 0.9994 for all the stations covering the zone of study shows a good performance of the Markov model. Annual maximum 1-day precipitation (Rx1day) and annual maximum consecutive 5-day precipitation (Rx5day) will decrease during the decades 2014 to 2023 and 2024 to 2033, and will increase from 2033 to 2043. While annual maximum consecutive 3-day precipitation (Rx3day) will know a decrease during the decade from 2024 to 2033 and an increase during the decades from 2014 to 2023 and from 2034 to 2043. Generally, the basin of Lobo will know an increase in these three climate indices over the entire period (2014-2043).

References

Aguilar A., Aziz Barry A., Brunet M., Ekang L., Fernandes A., Massoukina M., Mbah J., Mhanda A., Do Nascimento D.J., Peterson T.C., Thamba Umba, O., Tomou M. and Zhang X. (2009), Changes in temperature and precipitation extremes in western central Africa, Guinea Conakry and Zimbabwe, 1955-2006. Journal of geophysical research, 114, DO2115, doi: 10.1029/2008JDO11010.

Allard, D., Ailliot, P., Monbet, V. and Naveau, P. (2015), Stochastic weather generators: An overview of weather type models. Le Journal de la Societ Francaise de Statistique, 156(1), pp. 101–113.

Ardoin B.S. (2004), Variabilité hydroclimatique et impacts sur les ressources en eau de grands bassins hydrographiques en zone soudano-sahélienne. Thèse de Doctorat, Université de Montpellier II, France, 330 p.

Balliet R., Saley B., Sorokoby M., N’Guessan BI V. H., N’dri A., Dje K.B., Biemi J., (2016), Evolution des extrêmes pluviométriques dans la région du Goh (centre-ouest de la cote d’ivoire). European scientific journal vol 12, 14 p.

Cazacioc, L. and Cipu, E.C. (2004), Evaluation of the transition probabilities for daily precipitation time series using a Markov chain model, in The 3rd International Colloquium Mathematics in Engineering and Numerical Physics, p.82-89, Oct 7-9, Bucharest, Romania.

Chen, J., Brissette, P.F., Leconte, R. (2010), A daily stochastic weather generator for preserving low-frequency of climate variability. Journal of Hydrology, 388, pp 480-490.

Chen, J., Brissette, P.F., Leconte, R. (2011), Assessment and improvement of stochastic weather generators in simulating maximum and minimum temperatures. Transactions of the ASABE, 54 (5), pp. 1627-1637.

Chen, J., Brissette, P.F., Leconte, R., Caron, A. (2012), A versatile weather generator for daily precipitation and temperature. Transactions of the ASABE, 55(3), pp 895-906.

Cheze, I., Jourdains, S. (2003), Calcul Des Quantiles De Données De Retour De La Température Par La Méthode Gev. Calcul Des Températures A Risque, Pp.1-50, Météo France, Dp/Serv/Bec, Toulouse, France.

Christensen J.H., Hewitson B, Busuioc A, Chen A, Gao X, Held I., (2007). Regional Climate Projections, in: Climate Change 2007: The physical Sciences Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K.B., Tignor M and H.L. Miller (eds.) Cambridge University Press: Cambridge, New York, pp 847-940.

Dile, Y.T., Srinivasan, R. (2014), Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. Journal of the American Water Resources Association (JAWRA). pp 1-16.

Fredolin T., Supari S., Jing X.C., Faye C., Ester S., Sheau T.N., Liew J., Jerasorn S., Jaruthat S., Thanh N., Tan P., Gemma N., Patama S., Dodo G., Edvin A., Ardhasena S., Grigory N., Hongwei Y., Armelle R., Dmitry S. and David H. (2018). Future changes in annual precipitation extremes over Southeast Asia under global warming of 2°C, APN Science Bulletin 8, 6 p.

Fuka, D.R., MacAllister, C.A. Degaetano, A.T. and Easton, Z.M. (2013), Using the Climate Forecast System Reanalysis dataset to improve weather input data for watershed models. Hydrol. Proc. DOI: 10.1002/hyp.10073.

Haylock M.R., Peterson T., Abreu De Sousa J.R., Alves L.M., Ambrizzi T., Anunciaçao Y.M.T., Baez J., Barbosa De Brito J.I., Barros V.R., Berlato M.A., Bidgain M., Colonel G., Corradi V., Garcia V.J., Grimm A.M., Jaildo Dos Anjos R., Karoly D., Marengo J.A., Marino M.B., Meira P.R., Miranda J.C., Molion L., Moncunill D.F., Nechet D., Ontaneda G., Quintana J., Ramirez E., Rebello E., Rusticucci M., Santos J.L., Trebejo I. et Vincent L. (2006), Trends in total and extreme South American rainfall in 1960-2000 and links with sea surface temperature. Journal of Climate, 19: pp. 1490-1512.

Houghton J.T., Ding Y., Griggs D.J., Noguer M., Van Der Linden P.J., Dai X., Maskell K. and Johnson C.A. (2001), Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, New York, Cambridge University Press.

Hountondji, Y.C., De Longueville, F., Ozer, P. (2011), Trends in extreme rainfall events in Benin (West Africa), 1960-2000. Proceedings of the 1st International Conference on Energy, Environment and Climate Change, 26-27 August 2011, Ho Chi Minh City, Vietnam. http://orbi.ulg.ac.be/handle/2268/96112 (April 19, 2016).

IPCC (2007), Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Parry M.L., Canziani O.F., Palutikof J.P., van der Linden P.J., Hanson C.E. (Eds.), Cambridge University Press: Cambridge, UK.

Karimou Barke M., Ambouta K., Sarr B. and Tychon, B. (2015), Analyse des phénomènes climatiques extrêmes dans le Sud-Est du Niger. XXVIIIè Colloque de l’Association Internationale de Climatologie, Liège, pp 537-542.

Kouakou, K.E. (2011), Impacts de la variabilité climatique et du changement climatique sur les ressources en eau en Afrique de l’Ouest: Cas du bassin versant de la Comoé. Thèse Unique de Doctorat, Université Abobo-Adjamé, Côte d’Ivoire, 186 p.

Kouakou, K.E., Goula, B.T.A. and Savané, I. (2007), Impacts de la variabilité climatique sur les ressources en eau de surface en zone tropicale humide: Cas du bassin versant transfrontalier de la Comoé (Côte d’Ivoire - Burkina Faso). European Journal of Scientific Research, 16 (1), pp. 31-43.

Lennartsson, J., Baxevani, A. and Chen, D. (2008), Modelling precipitation in Sweden using multiple step Markov chains and a composite model. Journal of Hydrology, 363(1), pp. 42–59.

New, M., Todd, M., Hulme, M. and Jones, P. (2001), Precipitation measurements and trends in the twentieth century. International Journal of Climatology, 21(15), pp 1889-1922. OMM (2009). Troisième conférence mondiale sur le climat, Nouvelles du climat mondial, 34, janvier, www.wmo.ch (April 19, 2016).

N’Guessan Bi V.H., Saley M.B., Sorin P., Romilus T., Bogdan B., Djagoua E.V., Kouamé F., Borda, M., Affian, K. (2014), Markovian approach for analysis and prediction of monthly precipitation field in the department of Sinfra (central-west of Côte d'Ivoire), International Journal of Engineering Research and General Science, volume 2, issue 1, 49 p.

Perraud, A. (1971), Les sols, in Avenard J.M., Eldin M., Girard G., Sircoulon J., Touchebeuf P., Guillaumet J.L., Adjanohoun E. and Perraud A., Milieu naturel de Côte d’Ivoire. Mémoire ORSTOM, n°50, Paris, France, pp. 265-391.

Richardson, C.W. and Wright, D.A. (1984), WGEN (1984). A Model for Generating Daily Weather Variables, U. S. Department of Agriculture. Agricultural Research Service, ARS-8, 83 p.

Sarr, B.A and Camara, M. (2017), Evolution des indices pluviométriques extrêmes par l'analyse de modèles climatiques régionaux du programme cordex: les projections climatiques sur le Sénégal. European Scientific Journal June 2017 edition Vol.13, No.17, pp 1857 – 7881.

Servat, E., Paturel, J.-E., Lubes-Niel, H., Kouamé, B., Masson, J.-M., Travaglio, M. and Marieu, B. (1999), De différents aspects de la variabilité de la pluviométrie en Afrique de l’Ouest et centrale non sahélienne. Revue des Sciences de l’Eau, 12, 2, pp 363-387.

Stern, R., Rijks, D., Dale, I. and Knock, J. (2006), Instat Climatic Guide, 330 p.

Wilks, D.S. (1998), Multi-site generalization of a daily stochastic precipitation model, Journal of Hydrology, 210, pp. 178–191.

World Meteorological Organization (2009), Manual for Estimation of Probable Maximum Precipitation, 3rd edition, WMO - No. 1045, Geneva, ISBN 978-92-63-11045-9.

Vu Thi, V., Tran, T., Vu Hai, S., Truong, T. (2016), Projection of extreme temperature and precipitation and their impacts on water resources in Dong Nai river basin and vicinity – Viet Nam, Proc. of The Fourth Intl. Conf. On Advances in Applied Science and Environmental Technology. ISBN: 978-1-63248-097-2 doi: 10.15224/ 978-1-63248-097-2-23.

Yao, A.B. (2014), Evaluation des potentialités en eau du bassin versant de la lobo en vue d’une gestion rationnelle (centre-ouest de la côte d’ivoire) Thèse Unique de Doctorat, Université Abobo-Adjamé, Côte d’Ivoire, 186 p.

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Published

2019-09-10

How to Cite

ALLECHY, F. B., N’GUESSAN BI, V. H., YOUAN TA, M., ASSA YAPI, F., & AFFIAN, K. (2019). ANALYSIS OF THE FUTURE EVOLUTION OF MAXIMUM CUMULATIVES OF RAINFALL IN THE LOBO BASIN (CENTRAL-WEST OF COTE D’IVOIRE). Studia Universitatis Babeș-Bolyai Geographia, 63(2), 15–25. https://doi.org/10.24193/subbgeogr.2018.2.02

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