A New Statistical Approach to Assess Climate Variability in the White Bandama Watershed, Northern Côte d’Ivoire
| Autor: | J.-M. Fallot, Issiaka Savane, Yao Alexis N’go, Emmanuel Reynard, Franck Zokou Yao, Ismaïla Ouattara |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
education.field_of_study
Watershed 010504 meteorology & atmospheric sciences 0208 environmental biotechnology Population Climate change 02 engineering and technology General Medicine 01 natural sciences 020801 environmental engineering Test (assessment) Geography Statistical significance Evapotranspiration Hydrometeorology Physical geography education 0105 earth and related environmental sciences Statistical hypothesis testing |
| Zdroj: | Atmospheric and Climate Sciences. :410-430 |
| ISSN: | 2160-0422 2160-0414 |
| DOI: | 10.4236/acs.2018.84027 |
| Popis: | The population of northern Côte d’Ivoire, especially in the white Bandama watershed, lives for majority in rural areas and depends on farming, which is mainly linked to climate variability. This study evaluates the trends within watershed’s hydro-climatic variables and their level of significance over the period 1950-2000. The methodological approach consists in applying successively standardized indexes to detect trends and breaks in hydro-climatic long-term data. The Mann-Kendall statistical test lets us know the trends significance and the Kendall-Theil Robust Line test reveals their magnitude. The Student’s t test underlines break years. Results show that although rainfall has decreased, this decline is not statistically significant. However, temperature and potential evapotranspiration have strongly rised and discharge was submitted to high decline. These changes in hydrometeorological variables appeared from 1970 to 1980. This study is different from others conducted on climate variability in the northern Côte d’Ivoire by the methodological statistical framework implemented and the understanding of significance level of climate trends. Until now, authors used the standardized index to detect trends in hydro-climatic parameters. For this work, we added the Mann-Kendall statistical test to assess the significance level of these trends at α = 5% and 10%. Then, the Kendall-Theil statistical test was used to highlight the trends magnitude and the student’s t test to know the break years. |
| Databáze: | OpenAIRE |
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