Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws
Dry event duration analysis from series of daily rainfall observations in a Ghézala Dam catchment in Northern Tunisia, where the average rainfall is about 600 mm, was executed. The dry events are a series of dry days framed by a rainfall event. Rainfall events are defined as an uninterrupted series...
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MDPI AG
2024-11-01
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| author | Majid Mathlouthi Fethi Lebdi |
| author_facet | Majid Mathlouthi Fethi Lebdi |
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| description | Dry event duration analysis from series of daily rainfall observations in a Ghézala Dam catchment in Northern Tunisia, where the average rainfall is about 600 mm, was executed. The dry events are a series of dry days framed by a rainfall event. Rainfall events are defined as an uninterrupted series of rainfall days lasting at least a day having received a precipitation superior or equal to a threshold value of 4 mm d<sup>−1</sup>. The rainfall events are characterized by depth and duration. A correlation exists between these two parameters. Therefore, the rainfall depth per event is conditioned by the event duration. Respectively, the negative binomial and the geometric distribution best fits the dry event duration and the rainfall event duration. For the length of the climatical cycle, the incomplete gamma was found to be the appropriate distribution. |
| format | Article |
| id | doaj-art-8a4a0d01592a40eba91cffd46bd1f3e0 |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Engineering Proceedings |
| spelling | doaj-art-8a4a0d01592a40eba91cffd46bd1f3e02025-08-20T03:43:15ZengMDPI AGEngineering Proceedings2673-45912024-11-016816610.3390/engproc2024068066Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability LawsMajid Mathlouthi0Fethi Lebdi1Research Laboratory in Sciences and Technology of Water, National Agronomic Institute of Tunisia (INAT), University of Carthage, 43 Avenue Charles Nicolle, Tunis 1082, TunisiaNational Agronomic Institute of Tunisia (INAT), University of Carthage, 43 Avenue Charles Nicolle, Tunis 1082, TunisiaDry event duration analysis from series of daily rainfall observations in a Ghézala Dam catchment in Northern Tunisia, where the average rainfall is about 600 mm, was executed. The dry events are a series of dry days framed by a rainfall event. Rainfall events are defined as an uninterrupted series of rainfall days lasting at least a day having received a precipitation superior or equal to a threshold value of 4 mm d<sup>−1</sup>. The rainfall events are characterized by depth and duration. A correlation exists between these two parameters. Therefore, the rainfall depth per event is conditioned by the event duration. Respectively, the negative binomial and the geometric distribution best fits the dry event duration and the rainfall event duration. For the length of the climatical cycle, the incomplete gamma was found to be the appropriate distribution.https://www.mdpi.com/2673-4591/68/1/66dry eventrainfall eventprobability lawsstatistic |
| spellingShingle | Majid Mathlouthi Fethi Lebdi Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws Engineering Proceedings dry event rainfall event probability laws statistic |
| title | Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws |
| title_full | Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws |
| title_fullStr | Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws |
| title_full_unstemmed | Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws |
| title_short | Statistical Analysis of Extreme Dry Events in the Tunisian Sub-Humid Region Based on Probability Laws |
| title_sort | statistical analysis of extreme dry events in the tunisian sub humid region based on probability laws |
| topic | dry event rainfall event probability laws statistic |
| url | https://www.mdpi.com/2673-4591/68/1/66 |
| work_keys_str_mv | AT majidmathlouthi statisticalanalysisofextremedryeventsinthetunisiansubhumidregionbasedonprobabilitylaws AT fethilebdi statisticalanalysisofextremedryeventsinthetunisiansubhumidregionbasedonprobabilitylaws |