Estimating extreme dry spell risk in Ichkeul Lake Basin (Northern Tunisia): a comparative analysis of annual maxima series with a Gumbel distribution

Mathlouthi, Majid; Lebdi, Féthi

doi:10.5194/piahs-383-241-2020

Cited by 2 publications

(2 citation statements)

References 22 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A rainfall event is an uninterrupted sequence of rainy days including at least one rainy day with rainfall greater than 3.6 mm. This rainfall threshold value (3.6 mm) equal the expected daily evapotranspiration rate, marking the lowest physical limit for considering rainfall that may produce utilizable surface water resources (Mathlouthi and Lebdi, 2020). The rainfall event m in a given rainy season n will 1).…”

Section: Methodsmentioning

confidence: 99%

Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

Mathlouthi¹,

Lebdi

2021

Proc. IAHS

Self Cite

View full text Add to dashboard Cite

Abstract. Modeling of extremes dry spells in Northern Tunisia, in order to detect the severity of the phenomenon, is carried out. Dry events are considered as a sequence of dry days (below a threshold) separated by rainfall events from each other. The maximum dry event duration follows the Generalized Extreme Value distribution. The data series adherence to the probability distribution was verified by the Anderson-Darling test. The positive trend and non-stationarity of dry spells was verified respectively by the Mann–Kendall test and Dickey–Fuller and augmented Dickey–Fuller tests. The irregular distribution of rainfall in the growing season for Sidi Abdelbasset station has increased the number of dry spells. The increase of rainy days in Ghézala dam and Sidi Salem gauge stations resulted in a decrease of dry spells in this area. Regarding the return period of one year (wet season), dry events occurred from 14 to 27 d in this region constitute an agricultural potential risk. The Southern region was the most vulnerable.

show abstract

Section: Methodsmentioning

confidence: 99%

Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

Mathlouthi¹,

Lebdi

2021

Proc. IAHS

Self Cite

View full text Add to dashboard Cite

show abstract

“…[3] used the Weibull model for data modeling in the energy sector, (iii) Refs. [4,5] used the Gumbel distribution in the hydrological sector, (iv) Ref. [6] implemented a new version of the Lomax model in the engineering and medical sectors, (v) Ref.…”

Section: Introductionmentioning

confidence: 99%

A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data

Alshanbari

Odhah

Ahmad

et al. 2023

Axioms

View full text Add to dashboard Cite

Probability models are frequently used in numerous healthcare, sports, and policy studies. These probability models use datasets to identify patterns, analyze lifetime scenarios, predict outcomes of interest, etc. Therefore, numerous probability models have been studied, introduced, and implemented. In this paper, we also propose a novel probability model for analyzing data in different sectors, particularly in biomedical and sports sciences. The probability model is called a new modified exponential-Weibull distribution. The heavy-tailed characteristics along with some other mathematical properties are derived. Furthermore, the estimators of the new modified exponential-Weibull are derived. A simulation study of the new modified exponential-Weibull model is also provided. To illustrate the new modified exponential-Weibull model, a practical dataset is analyzed. The dataset consists of seventy-eight observations and represents the recovery time after the injuries in different basketball matches.

show abstract

Estimating extreme dry spell risk in Ichkeul Lake Basin (Northern Tunisia): a comparative analysis of annual maxima series with a Gumbel distribution

Cited by 2 publications

References 22 publications

Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

Estimation of dry events duration in Northern Tunisia – Analysis of extremes trends

A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data

Contact Info

Product

Resources

About