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29 results on '"Ghoneim, Eman"'

3. Predicting Land Cover Using a GIS-Based Markov Chain and Sea Level Inundation for a Coastal Area.

Author

Healey, Colleen, Ghoneim, Eman, Loh, Ai Ning, and You, Yalei

Subjects
LAND cover, BEACHES, SEA level, MARKOV processes, LAND use, BARRIER islands
Abstract

New Hanover County, North Carolina, has been experiencing rapid population growth and is expected to continue this growth, leading to increased land use and development in the area. The county is also threatened by sea level rise (SLR) and its effects because of its coastal location and frequent occurrences of major storms and hurricanes. This study used a land change modeler to map the land cover change throughout the county over a period of 20 years, and predicted land cover distribution in the area in the years 2030 and 2050. Statistics revealed that the developed land in the area increased by 85 km2 between 2000 and 2010, and by 60 km2 between 2010 and 2020. Such land is predicted to increase by another 73 km2 by 2030, and 63 km2 by 2050. This increase in development is expected to occur mainly in the central area of the county and along the barrier islands. Modeling of SLR illustrated that the northwestern part of New Hanover County along the Cape Fear River, as well as the beach towns located on the barrier islands, are estimated be the most affected locations. Results indicate that sections of major highways throughout the county, including I-140 near downtown Wilmington and US-421 in Carolina Beach, may be inundated by SLR, which might delay residents during mandatory evacuations for emergency situations such as hurricanes. Some routes may be unusable, leading to traffic congestion on other routes, which may impede some residents from reaching safety before the emergency. Wrightsville Beach and Carolina Beach are estimated to have the highest levels of inundation, with 71.17% and 40.58% of their land being inundated under the most extreme SLR scenario of 3 m, respectively. The use of the present research approach may provide a practical, quick, and low-cost method in modeling rapidly growing urban areas along the eastern United States coastline and locating areas at potential risk of future SLR inundation. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Characterising the flash flood potential in the arid Red Sea coast region of Egypt

Author

Ghoneim, Eman Mohmamed

Subjects
551.489, Geomorphology
Abstract

This study presents an integrated approach to estimating the risk of flash floods in arid wadis. Flash floods impact seriously on the infrastructure and development of Egyptian desert towns, such as Marsa Alam, and their surrounding areas. The study developed a method using the example of the wadi El-Alam, which has an area of approximately 407 km². The method has three stages. First, the construction of a Digital Elevation Model from which morphometric properties of the brain were calculated. In particular, representing the flat areas and the sharp junctions between badland slopes and the adjacent wadi system (which generally characterised arid landscapes), were among the major issues facing this study. Second, the derivation of land cover from satellite remote sensing data which were rigorously pre-processed with the aid of aerial photographs and fieldwork measurements. Third, the application of a hydrological model, incorporating the basin morphometry and land cover data, to transform rainfall into runoff and route the floodwater through the sub-catchments of the wadi. The hydrological model system (HMS) was run to simulate discharge at the main wadi outlet (where the town of Marsa Alam is located) and at each sub-basin intersecting the Idfu-Alam highway that runs through the wadi. From these results, sites vulnerable to flash flood and their risk classes were identified. The sites judged to have the highest flood hazard along the highway were exactly the sites damaged in the 1991 flash flood. Thus, as an outcome of this study, the first digital database that includes information on land cover, geomorphology and hydrology of wadi El-Alam was developed. This database can be used to highlight regions vulnerable to flood damage.

Published
2002

15. We mapped a lost branch of the Nile River - which may be the key to a longstanding mystery of the pyramids.

Author

Ralph, Timothy J., Ghoneim, Eman, and Onstine, Suzanne

Subjects
PYRAMIDS, RIVER channels, REMOTE-sensing images, SURFACE topography, TRANSPORT workers
Abstract

A recent study published in Communications Earth & Environment has shed light on the mystery of why the largest field of pyramids in Egypt is located several kilometers west of the Nile River. The study reveals that the pyramids were built next to a now-vanished branch of the Nile, which likely served as a transportation waterway for workers and building materials. Using satellite imagery, historical maps, and core samples, researchers were able to map the path of this ancient branch, known as the Ahramat Branch, and gain a better understanding of its structure and sedimentology. The study suggests that the branch gradually moved eastward and eventually stopped flowing, possibly due to changes in the river's course, tectonic activity, or increased sand deposition. This research highlights the need for a multidisciplinary approach to river science and emphasizes the importance of understanding and protecting our rivers and the culturally significant sites they are connected to. [Extracted from the article]

Published
2024

22. Characterising the flash flood potential in thr arid Red Sea coast region of Egypt

Author

Ghoneim, Eman M

Abstract

This study presents an integrated approach to estimating the risk of flash floods in arid wadis. Flash floods impact seriously on the infrastructure and development of Egyptian desert towns, such as Marsa Alam, and their surrounding areas. The study developed a method using the example of the wadi El-Alam, which has an area of approximately 407 km2. The method has three stages. First, the construction of a Digital Elevation Model from which morphometric properties of the brain were calculated. In particular, representing the flat areas and the sharp junctions between badland slopes and the adjacent wadi system (which generally characterised arid landscapes), were among the major issues facing this study. Second, the derivation of land cover from satellite remote sensing data which were rigorously pre-processed with the aid of aerial photographs and fieldwork measurements. Third, the application of a hydrological model, incorporating the basin morphometry and land cover data, to transform rainfall into runoff and route the floodwater through the sub-catchments of the wadi. The hydrological model system (HMS) was run to simulate discharge at the main wadi outlet (where the town of Marsa Alam is located) and at each sub-basin intersecting the Idfu-Alam highway that runs through the wadi. From these results, sites vulnerable to flash flood and their risk classes were identified. The sites judged to have the highest flood hazard along the highway were exactly the sites damaged in the 1991 flash flood. Thus, as an outcome of this study, the first digital database that includes information on land cover, geomorphology and hydrology of wadi El-Alam was developed. This database can be used to highlight regions vulnerable to flood damage.

Published
2002

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