Flash Flood Investigations in El Gouna, Northern Red Sea Governorate

Bauer, Florian; Hadidi, A.; Tügel, Franziska; Hinkelmann, Reinhard

doi:10.1007/978-3-030-29635-3_5

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…Flash floods hit areas along the Red Sea coast on different occasions during the last four decades. In particular, flash floods hit populated areas and main road network of Ras Gharib, Hurghada, Safaga, Quseir and Marsa Alam (e.g., Abdel Fattah, 2015;Bauer et al, 2020;Elnazer et al, 2017) that caused major economic and anthropogenic loss as well as transferring sand and gravel from an area to another.…”

Section: Lulc Change Ofmentioning

confidence: 99%

Detection and mapping of land use land cover with Support vector machines SVM-based change monitoring using Landsat and Sentinel-2 data. The case of Quseir, Red Sea

2022

Miṣriqiyā

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Land use land cover (LULC) mapping and spatial change monitoring are essential to manage the coastal cities and its resources. This study aims to investigate LULC changes of Quseir, a typical small Red Sea coastal city for a long period from 1984 to 2021. Support vector machines (SVMs) classifier and Post classification comparison (PCC) change detection technique were used to analyse two Thematic Mappers (TM), an Enhanced Thematic Mapper plus (ETM+), an Operational Land Imager (OLI) Landsat imagery in addition to a Multi-Spectral Instrument (MSI) Sentinel-2 image cover the study period. Detection and mapping of land use land cover with Support vector machines SVM-based change monitoring using Landsat and Sentinel-2 data. The case of Quseir, Red Sea Miṣ riqiyā Vol. 2 Issue 2 (2022) 2 2021, had the highest accuracy. Through data-resampling, combining Landsat and Sentinel-2 satellite datasets for long-term monitoring studies using PCC resulted in more reliable and accurate outputs. Results obtained from this study will fill the gap of rare LULC maps and spatial change information of Quseir during the past four decades.

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Section: Lulc Change Ofmentioning

confidence: 99%

Detection and mapping of land use land cover with Support vector machines SVM-based change monitoring using Landsat and Sentinel-2 data. The case of Quseir, Red Sea

2022

Miṣriqiyā

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“…The flood hazards to five of the six main urban centers on the coast of Red Sea Governorate have been subjects of several studies; Ras Gharib (Yehia et al, 2000a;Elnazer et al, 2017and Hermas et al, 2021), Hurghada and environs (Yehia et al, 2000aAbd-Elhamid et al, 2018;Abdrabo et al, 2020 andBauer et al, 2020), Safaga (Yehia et al, 2000band Masoud 2004), Quseir (Yehia et al, 2000bMashaly & Ghoneim 2018), Marsa Alam (Yehia et al, 2000band Foody et al, 2004. To date, the flood hazard to Shalatin city is still a research gap (Fig.…”

Section: Introductionmentioning

confidence: 99%

Flash flood hazard prediction of Shalatin City, Red Sea Coast, Egypt utilizing HEC-RAS model

Ibrahim

2021

Catrina: The International Journal of Environmental Sciences

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In terms of flood hazards, Shalatin is the least studied of the six major coastal cities in Egypt's Red Sea Governorate. The current study intends to determine the extent to which Shalatin city is exposed to flood hazard in an attempt to address this research gap. Urban flood modeling proved to be the most effective method. All the layers required for modeling were created in ArcGIS software at the greatest possible resolution using remote sensing products and data obtained during the field investigation. Three potential flood events were modeled as one-dimensional unsteady flow using the most recent version (6.0) of the HEC-RAS programme. To quantify the extent of flooding and water depth, as well as the water velocity and flood hazard, three types of maps were created. In comparison to other cities along Egypt's Red Sea coast, the data reveal that Shalatin appears to be less prone to floods. To safeguard the most susceptible areas, two earthen dykes, each around 2000 metres long, are recommended. The current study is the first to tackle the simulation of an Egyptian city's urban flood at a resolution of up to a single building.

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“…Some different structural mitigation measures for El Gouna were already investigated within the framework of a master thesis (Marafini, 2017) and are included in the conference contribution of Marafini et al (2018). In Bauer et al (2019) a detailed overview of the Wadi Bili catchment is represented.…”

Section: Introductionmentioning

confidence: 99%

Flash flood simulations for an Egyptian city - mitigation measures and impact of infiltration

Tügel

Özgen‐Xian

Marafini

et al. 2020

Urban Water Journal

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Flash flood simulations for an Egyptian city-mitigation measures and impact of infiltration Within this work, the impact of mitigation measures and infiltration on flash floods is investigated by using a 2D robust shallow water model including infiltration with the Green-Ampt model. The results show the combined effects of infiltration and mitigation measures as well as the effectiveness of bypass channels in addition to retention basins. Retention basins at appropriate locations could reduce the maximum water depth at critical locations by 23 %, while the additional implementation of drainage channels lead to a reduction of 75 %, considering also infiltration lead to a further reduction of 97 %. If infiltration was considered without mitigation measures, the peak water depth was reduced by 67 %. For an exceptional extreme event the measures lead to a reduction of 73 % at some locations, while at other locations the overflow from retention basins due to overstraining generated even higher inundations with an increase of 58 %.

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Flash Flood Investigations in El Gouna, Northern Red Sea Governorate

Cited by 5 publications

References 23 publications

Detection and mapping of land use land cover with Support vector machines SVM-based change monitoring using Landsat and Sentinel-2 data. The case of Quseir, Red Sea

Detection and mapping of land use land cover with Support vector machines SVM-based change monitoring using Landsat and Sentinel-2 data. The case of Quseir, Red Sea

Flash flood hazard prediction of Shalatin City, Red Sea Coast, Egypt utilizing HEC-RAS model

Flash flood simulations for an Egyptian city - mitigation measures and impact of infiltration

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