Multivariate statistical analysis of geomorphological parameters for Sinai Peninsula

Eltahan, Abdelhamid Mohamed Hamdy; Elhamid, Ahmed M.I. Abd; Abdelaziz, Shokry

doi:10.1016/j.aej.2020.10.059

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…The results were found to be compatible with the fact that most studied basins related to the late period of geomorphology. (Eltahan et al 2020).…”

Section: Prediction Of Flood Factormentioning

confidence: 99%

النمذجة الإحصائية للتنبؤ بالخصائص الهيدرولوجية للأحواض الفرعية لوادي الأردن المتصدع الشمالي

الصبابحة,

الجمرة

2023

مجلة كلية الآداب - جامعة القاهرة

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Morphometric parameters are an applicable method to understand the hydrological system of water drainage basins. To determine the capabilities of sub-basins, morphometric analysis was adopted, using the linear, areal, drainage network, formality, and relief variables of the drainage basin. Moreover, remote sensing and GIS have been proven to be efficient tools for identifying morphological parameters. This study might help to take water conservation measures and undertake repairs of drainage basin management structures for better decision-making in the future. The data used in the assessment cover the long-term from and constitute the monthly and daily rates of rainfall and temperature for four climatic stations. Furthermore, the morphological parameters were calculated from the digital elevation model (DEM) file with a 30 m resolution obtained from U.S. Geological Survey (USGS). Also, using algorithms formulas, represented by the SCS method for runoff estimation, equations for morphometric variables, and equations for hydrological variables estimation. A correlation matrix (Pearson's correlation coefficient) was set up between the hydrological and morphometric variables to determine that the morphometric variables had a statistically significant relationship with the hydrological variables. This would enable us to predict the hydrological variables of the sub-basins of the study area. Based on linear regression analysis using SPSS, the results of the correlation analysis that were applied to )*( Bulletin of the Faculty of Arts Volume 83 Issue

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“…The results were found to be compatible with the fact that most studied basins related to the late period of geomorphology. (Eltahan et al 2020).…”

Section: Prediction Of Flood Factormentioning

confidence: 99%

النمذجة الإحصائية للتنبؤ بالخصائص الهيدرولوجية للأحواض الفرعية لوادي الأردن المتصدع الشمالي

الصبابحة,

الجمرة

2023

مجلة كلية الآداب - جامعة القاهرة

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“…Several fatalities and enormous damages to infrastructure in urban centres, such as bridges, roads electric poles, and water and oil pipelines, have been reported in several flash floods in the Sinai Peninsula [16,17]. Examples of these floods are the flood in Wadi El-Aawag in 1991, which damaged some houses in El-Wadi village and killed some livestock, the flood in Wadi Water in 2004, which destroyed 40% of the highway to Nuweiba city, and the flood in Wadi El-Arish in 2010, which crossed Al-Rawafa Dam and destroyed Mubarak-sport city in El-Arish city [19,20].…”

Section: Introductionmentioning

confidence: 99%

Flash Floods Hazard Degrees Assessment Applying Multi-Attributes Utility Theory for Gulf of Suez Basins, Egypt

Abdelaziz

Gad

Ahmed

2022

JES. Journal of Engineering Sciences

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Good management of flash floods requires accurate estimation for both the hazard degrees and flood risk maps. Morphological parameters greatly affect the strength of flood's hydrograph and accordingly the flash flood hazard degree. This study uses decision-making tools such as Multi Criteria Analysis (MCA) and/or Multi-Attribute Utility Theory (MAUT) to estimate the Gulf of Suez's flash flood hazard degree, Sinai Peninsula, Egypt. The MAUT was applied successfully in estimating the hazard degrees of 56 basins in the coastal zone of the Suez Gulf. Based on the resulted correlation between all hydro-morphological parameters, only six equal weight parameters were selected and used to calculate the hazard degree. The results showed that, about 40 % of the 56 basins have high or moderately high hazard degree. Values of the correlation factors between the hydro-morphological parameters and the resulted hazard degrees are ranged between 0.813 for basin's Sinuosity and 0.011 for Centroid Stream Slope. The weights of those parameters were non-linearly optimized to make the correlation of all chosen parameters with the hazard degree higher than or equal to the threshold value (0.6). Accordingly, percentage of basins with high or moderately high hazard degree have decreased to 32 %. Capability and validation of current model have been achieved using the damage information of some flood events in the last few decades. The comparison between current model's scenarios and flood events showed that, all the affected basins that had high or moderated high hazard degree are highly coincide with the real cases.

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Multivariate Statistical Analysis of Morphometric Parameters in Watersheds of Peru

López-Silva

Carmenates-Hernandez

Sao-Cancio³

et al. 2022

Lecture Notes in Civil Engineering

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Multivariate statistical analysis of geomorphological parameters for Sinai Peninsula

Cited by 8 publications

References 23 publications

النمذجة الإحصائية للتنبؤ بالخصائص الهيدرولوجية للأحواض الفرعية لوادي الأردن المتصدع الشمالي

النمذجة الإحصائية للتنبؤ بالخصائص الهيدرولوجية للأحواض الفرعية لوادي الأردن المتصدع الشمالي

Flash Floods Hazard Degrees Assessment Applying Multi-Attributes Utility Theory for Gulf of Suez Basins, Egypt

Multivariate Statistical Analysis of Morphometric Parameters in Watersheds of Peru

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