Issue |
E3S Web Conf.
Volume 314, 2021
The 6th edition of the International Conference on GIS and Applied Computing for Water Resources (WMAD21)
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Article Number | 03004 | |
Number of page(s) | 7 | |
Section | Climate Change & Natural Hazard Related to Water | |
DOI | https://doi.org/10.1051/e3sconf/202131403004 | |
Published online | 26 October 2021 |
Statistical descriptive analysis of three climate variables; Precipitation, temperature and relative humidity. Study cases (Innaouene watershed; Morocco)
1
Laboratory of Functional Ecology and Environment, Faculty of Sciences and Technologies, University of Sidi Mohammed Ben Abdellah, Fès B.P. 2202 – Route d’Imouzzer, Fes, Morocco.
2
Mohammed V University, Mohammadia School of Engineers, Rabat, Morocco
Hydrological data are mandatory for the elaboration of studies related to water management. Statistical analysis is a crucial step for the grasping of the distribution of data range. The presented study consists on applying statistical descriptive analysis on three climate variable; precipitation, temperature and relative humidity. Two gages stations were used; Bab Marzouka and Idriss First in Innaouène watershed. The obtained results underlines that the temporal variation exposes an overall rising trend in the temperature and a decreasing trend in the rainfall and relative humidity over the fours studied decades, it also uncovers the intra-seasonal fluctuation, humid and rainy in the winter and sec and dry in the summer, the autumn and the spring are considered as transition season where the temperature is moderated. The spatial variation is marked by a slight decreasing in precipitation and increasing of temperature moving from the middle part of the watershed to the downstream, which could be explained by the topographic variation and its impact on the climate. High altitude are generally marked by high precipitation and lower temperature comparing to lowlands areas.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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