This page has only limited features, please log in for full access.

Unclaimed
Soha A. Mohamed
The Higher Institute of Tourism, Hotels and Computer (H.I.T.H.C.), The Ministry of Higher, Education and Scientific Research (MHESR), Alexandria, Egypt

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Original paper
Published: 28 May 2021 in Natural Hazards
Reads 0
Downloads 0

Egypt is one Arab country that is vulnerable to flash floods caused by heavy and intensive rainfall. Different locations in Egypt are vulnerable to the hazards of flash floods, especially in Upper Egypt. Throughout history, Egypt witnessed a series of events of flash floods that lead to mortality, damages, and economic losses. The intensity and frequency of flash floods in Egypt vary from year to year according to a number of hydrological and climatological variables. Although several previous flash floods studies have been conducted in Egypt, studies on the governorate of Asyut are still limited. This study integrates the physical and social parameters in order to assess the vulnerability to flash floods. The objectives of this study are to shed light on flash floods in the study area, develop a vulnerability model to determine the regions vulnerable to the impacts of flash floods, and propose a flash flood alert system in the governorate of Asyut in Egypt to mitigate the impacts of flash floods and to avoid the loss of life and property. The AHP (analytical hierarchy process) is used for assigning the optimal criterion weight of the considered vulnerability parameters based on the responses of eight expert respondents to an online Google forms questionnaire. The highest weighted flash floods causative parameters are population density (27.4%), precipitation (22.1%), total population (16.4%), and elevation (10.2%), respectively. The results reveal that Asyut is one of the Egyptian governorates prone to flash floods’ impacts, especially in Dayrut, Al-Qusiyah, and Abnub, urban districts. The findings of this study are expected to be useful to policymakers and responsible authorities for better disaster risk management and for dealing with the flash floods events in the future.

ACS Style

Soha A. Mohamed. Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt. Natural Hazards 2021, 108, 2739 -2763.

AMA Style

Soha A. Mohamed. Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt. Natural Hazards. 2021; 108 (3):2739-2763.

Chicago/Turabian Style

Soha A. Mohamed. 2021. "Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt." Natural Hazards 108, no. 3: 2739-2763.

Journal article
Published: 22 August 2020 in Geosciences
Reads 0
Downloads 0

Drainage basins in dry and semiarid environments are exposed to sudden, irregular flooding that poses a threat to urban areas and infrastructure. The associated risk is exacerbated by land use changes. Geomorphometric analyses of drainage basins based on geographic information systems (GIS) are essential tools for assessing conceptual flood hazards. Geomorphological data extracted from high-precision digital elevation models (DEMs) provide valuable information for modeling the geomorphic, surface classifications of the earth, and for flood hazard mapping. This study aimed to develop an integrative approach to the mapping of flood hazards along the Al-Shamal train pathway in the city of Qurayyat in the Kingdom of Saudi Arabia (KSA) using GIS and hazard modeling for geomorphological ranking. Furthermore, we propose strategic solutions to provide mitigation and protection from negative impacts with the aim of improving the level of awareness of flood geomorphology. The hazard model of geomorphological ranking was used in mapping and calculating the degree of hazards using 24 geomorphometric criteria. These criteria were divided into formal criteria, terrain criteria, and criteria related to the drainage network. The results of the study revealed that the drainage sub-basins are exposed to flood hazards along the Al-Shamal train pathway in the city of Qurayyat. The very high flood hazard constituted 4228.3 km2, accounting for 70.3% and 65.7%, respectively, of the drainage basins of the wadis of Makhrouq and Bayer. The high flood hazard represented 61% (4712.4 km2) of the basin of the wadis of Sarmadaa. The medium flood hazard was concentrated in the drainage basin of the wadi of Hasidah, accounting for nearly 57.7% (1271.3 km2). The very low flood hazard was present in 46.5% of the drainage basin of the wadis of Hasidah Umm Nakhla, accounting for an area of 799.4 km2. The methodology applied in this study can be used in the estimation of flood hazards in different drainage basins throughout Saudi Arabia and in similar arid regions.

ACS Style

Ashraf Abdelkarim; Seham S. Al-Alola; Haya M. Alogayell; Soha A. Mohamed; Ibtesam I. Alkadi; Ismail Y. Youssef. Mapping of GIS-Flood Hazard Using the Geomorphometric-Hazard Model: Case Study of the Al-Shamal Train Pathway in the City of Qurayyat, Kingdom of Saudi Arabia. Geosciences 2020, 10, 333 .

AMA Style

Ashraf Abdelkarim, Seham S. Al-Alola, Haya M. Alogayell, Soha A. Mohamed, Ibtesam I. Alkadi, Ismail Y. Youssef. Mapping of GIS-Flood Hazard Using the Geomorphometric-Hazard Model: Case Study of the Al-Shamal Train Pathway in the City of Qurayyat, Kingdom of Saudi Arabia. Geosciences. 2020; 10 (9):333.

Chicago/Turabian Style

Ashraf Abdelkarim; Seham S. Al-Alola; Haya M. Alogayell; Soha A. Mohamed; Ibtesam I. Alkadi; Ismail Y. Youssef. 2020. "Mapping of GIS-Flood Hazard Using the Geomorphometric-Hazard Model: Case Study of the Al-Shamal Train Pathway in the City of Qurayyat, Kingdom of Saudi Arabia." Geosciences 10, no. 9: 333.

Journal article
Published: 14 June 2020 in Water
Reads 0
Downloads 0

Understanding the dynamics of floods in dry environments and predicting an accurate flood hazard map considering multiple standards and conflicting objectives is of great political and planning importance in the Kingdom of Saudi Arabia’s vision for the year 2030, in order to reduce losses in lives, property, and infrastructure. The objectives of this study are (1) to develop a flood vulnerability map identifying flood-prone areas along the Al-Shamal train railway pathway; (2) to forecast the vulnerability of urban areas, agricultural land, and infrastructure to possible future floods hazard; and (3) to introduce strategic solutions and recommendations to mitigate and protect such areas from the negative impacts of floods. In order to achieve these objectives, multicriteria decision analysis based on geographic information systems (GIS-MCDA) is used to build a flood hazard map of the study area. The analytic hierarchy process (AHP) is applied to extract the weights of eight criteria which affect the areas which are prone to flooding hazards, including flow accumulation, distance from the wadi network, slope, rainfall density, drainage density, and rainfall speed. Furthermore, the receiver operating characteristic (ROC Curve) method is used to validate the presented flood hazard model. The results of the study reveal that there are five degrees of flooding hazard along the Al-Shamal train path, ranging from very high to very low. The high and very high hazard zones comprise 19.2 km along the path, which constitutes about 26.45% of the total path length, and are concentrated at the intersections of the Al-Shamal train pathway with the Bayer and Al-Makhrouk wadis. Moderate, low, and very low flood severity areas constitute nearly 53.39 km, representing 73.55% of the total length (72.59 km) of the track. These areas are concentrated at the intersection of the Al-Shamal train track with the Haseidah Al-Gharbiyeh and Hsaidah Umm Al-Nakhleh wadis. Urban and agricultural areas that are vulnerable to high and very high flooding hazards are shown to have areas of 29.23 km2 (22.12%) and 59.87 km2 (46.39%), respectively.

ACS Style

Ashraf Abdelkarim; Seham S. Al-Alola; Haya M. Alogayell; Soha A. Mohamed; Ibtesam I. Alkadi; Ismail Y. Ismail. Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process to Assess Flood Hazard on the Al-Shamal Train Pathway in Al-Qurayyat Region, Kingdom of Saudi Arabia. Water 2020, 12, 1702 .

AMA Style

Ashraf Abdelkarim, Seham S. Al-Alola, Haya M. Alogayell, Soha A. Mohamed, Ibtesam I. Alkadi, Ismail Y. Ismail. Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process to Assess Flood Hazard on the Al-Shamal Train Pathway in Al-Qurayyat Region, Kingdom of Saudi Arabia. Water. 2020; 12 (6):1702.

Chicago/Turabian Style

Ashraf Abdelkarim; Seham S. Al-Alola; Haya M. Alogayell; Soha A. Mohamed; Ibtesam I. Alkadi; Ismail Y. Ismail. 2020. "Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process to Assess Flood Hazard on the Al-Shamal Train Pathway in Al-Qurayyat Region, Kingdom of Saudi Arabia." Water 12, no. 6: 1702.

Journal article
Published: 24 January 2020 in Journal of African Earth Sciences
Reads 0
Downloads 0

Water is the most crucial inputs for sustainable development. Water shortage is the primary current and future world issue. Egypt is facing a severe water crisis dilemma in recent years. The rapid population growth and economic development in Egypt lead to increasing pollution and environmental degradation of water quality, availability, and accessibility. Climate change could worsen the crisis. Water desalination using solar cells was considered an optimal solution to water shortage as Egypt is located in the arid climate zone with a high rate of the sun shining hours nearly all year. The objective of this paper was to highlight the suitable areas for the installation of future solar desalination stations in Egypt as a necessity to sustain water resource management. Geographical Information Systems (GIS) and Multi-Criteria Analysis (MCA) techniques were the main tools to map suitable sites for the installation of solar desalination cells. The suitability was ranked in five categories starting from very high to very low suitability. Results showed that approximately 10.9% (106,424.87 km2) of the area is classified as very high suitability, 13.7% (134,412.7 km2) high, 17% (166,146.36 km2) moderate, 40.2% (393,351.96 km2) low and 18.2% (178,558.48 km2) as very low for installing desalination stations. These results suggested promoting the use of solar energy in the construction of solar water desalination projects as a strategic option to cope with future estimates of water shortage in Egypt.

ACS Style

Soha A. Mohamed. Application of geo-spatial Analytical Hierarchy Process and multi-criteria analysis for site suitability of the desalination solar stations in Egypt. Journal of African Earth Sciences 2020, 164, 103767 .

AMA Style

Soha A. Mohamed. Application of geo-spatial Analytical Hierarchy Process and multi-criteria analysis for site suitability of the desalination solar stations in Egypt. Journal of African Earth Sciences. 2020; 164 ():103767.

Chicago/Turabian Style

Soha A. Mohamed. 2020. "Application of geo-spatial Analytical Hierarchy Process and multi-criteria analysis for site suitability of the desalination solar stations in Egypt." Journal of African Earth Sciences 164, no. : 103767.

Journal article
Published: 16 January 2020 in Journal of African Earth Sciences
Reads 0
Downloads 0

This study intends to map the relative coastal vulnerability index (CVI) for the administrative governorates of Alexandria and adjacent Behera in the northwestern coastal margin of the Nile delta. In addition to other common environmental stresses, these governorates are under threat due to accelerated sea level rise induced from climate change. Of special interest is that the coastal margin of the study area is characterized by markedly constructing geology, morpho-dynamics and land surface topography that varies from low-lying (−3 m below MSL) to high land (~20 m height). Therefore, nine physical and geological variables influencing the vulnerability of the coast are used in this study, including land elevation, seabed/beach composition, beach type (dissipative to reflective), relative sea level, historical shoreline change, tidal range, significant wave height, shore protection measures, and land cover. Results obtained from performing multi-criteria analysis of GIS indicates that about 16.58%, 15.45, 42.03%, 18.16 and 7.78% of the shoreline is under very high, high, moderate, low and very low vulnerability respectively. Of great concern is that although the low-lying broad depression (−1 to −3 m below MSL) east and southeast of Alexandria is protected now by a combination of natural shore-parallel elevated ridges (up to 10 m) and artificial shore-parallel detached structures, it is likely to be accidently flooded by unexpected extreme storm or tsunami events at the lowest waterfront points.

ACS Style

Soha A. Mohamed. Coastal vulnerability assessment using GIS-Based multicriteria analysis of Alexandria-northwestern Nile Delta, Egypt. Journal of African Earth Sciences 2020, 163, 103751 .

AMA Style

Soha A. Mohamed. Coastal vulnerability assessment using GIS-Based multicriteria analysis of Alexandria-northwestern Nile Delta, Egypt. Journal of African Earth Sciences. 2020; 163 ():103751.

Chicago/Turabian Style

Soha A. Mohamed. 2020. "Coastal vulnerability assessment using GIS-Based multicriteria analysis of Alexandria-northwestern Nile Delta, Egypt." Journal of African Earth Sciences 163, no. : 103751.

Journal article
Published: 24 May 2019 in Journal of African Earth Sciences
Reads 0
Downloads 0

Flash floods in Egypt are considered frequent meteorological natural hazards. Qena is one of the most Egyptian governorates prone to flash floods. Various flash floods events hit Qena from 1954 till 2016. Flash floods occurred in Qena on 28th October 2016 inundated houses and roads, generated losses in lives, damages to private and public property. The intensive rainfall coupled with the rapid urban expansion in Qena and along the Nile Valley could worsen the situation. Despite, the destructive impacts of the flash floods in Qena, flash floods can be used as a valuable source of fresh water as the study area is classified as an arid zone and characterized with the fresh-water shortage. Integration of remotely sensed data with the Analytical Hierarchy Process and Geographic Information Systems spatial modeling presented valuable analysis techniques in this study. The present study focused on mapping the spatial distribution of flash floods vulnerability in Qena's urban areas. Ten indicators were used to analyze the flood floods namely; rainfall, soil, geology, slope, elevation, flow direction, drainage network, land cover, total population, and population density. The results revealed that Qena, Qus, Naqadah, and Dishna urban districts are the most vulnerable to flash floods and located in the very high zone with 25.3%, 14.9%, 12.3%, and 9.8% respectively. The total population situated at very high and high vulnerability zone reached represents 7.66% and 43.36% of the total population. The obtained results considered crucial information for decision-makers for future effective flash floods hazards mitigation, assessment management, planning, and sustainable development.

ACS Style

Soha A. Mohamed. Application of satellite image processing and GIS-Spatial modeling for mapping urban areas prone to flash floods in Qena governorate, Egypt. Journal of African Earth Sciences 2019, 158, 103507 .

AMA Style

Soha A. Mohamed. Application of satellite image processing and GIS-Spatial modeling for mapping urban areas prone to flash floods in Qena governorate, Egypt. Journal of African Earth Sciences. 2019; 158 ():103507.

Chicago/Turabian Style

Soha A. Mohamed. 2019. "Application of satellite image processing and GIS-Spatial modeling for mapping urban areas prone to flash floods in Qena governorate, Egypt." Journal of African Earth Sciences 158, no. : 103507.

Article
Published: 19 March 2019 in Environmental Monitoring and Assessment
Reads 0
Downloads 0

The Qaroun Lake, Wadi El-Rayyan, and Wadi El-Hitan are some of the most promising ecotourism destinations in Egypt due to their natural mineral resources, wildlife, and biodiversity in addition to their historic heritage that dates back to the age of The Pharos. These natural resources should be managed and maintained without affecting the needs of future generations. Land use/land cover change is the most important factor in causing biodiversity loss. Accordingly, the objectives of this study are to identify, quantify, and model future land cover changes using remote sensing and GIS techniques. To fulfill the objectives of the study, a hybrid image classification is employed using the combination of unsupervised and supervised classification methods to detect land cover types. Post-classification comparison is used to map changes in land cover between 2000 and 2017. Markov model is applied to analyze, predict, and simulate future land cover changes from 2017 to 2050. This is in order to safeguard against the adverse effects and negative consequences of land cover changes, preserve the natural resources, and consequently achieve goals of sustainable development. The outcome of this study can provide policy makers and urban planners with the required information regarding the status of the environment and subsequently reduce pressure on natural resources in order to facilitate conservation planning and sustainable development.

ACS Style

Soha A. Mohamed; Mohamed E. El-Raey. Land cover classification and change detection analysis of Qaroun and Wadi El-Rayyan lakes using multi-temporal remotely sensed imagery. Environmental Monitoring and Assessment 2019, 191, 229 .

AMA Style

Soha A. Mohamed, Mohamed E. El-Raey. Land cover classification and change detection analysis of Qaroun and Wadi El-Rayyan lakes using multi-temporal remotely sensed imagery. Environmental Monitoring and Assessment. 2019; 191 (4):229.

Chicago/Turabian Style

Soha A. Mohamed; Mohamed E. El-Raey. 2019. "Land cover classification and change detection analysis of Qaroun and Wadi El-Rayyan lakes using multi-temporal remotely sensed imagery." Environmental Monitoring and Assessment 191, no. 4: 229.

Original paper
Published: 14 January 2019 in Natural Hazards
Reads 0
Downloads 0

Egypt suffers from freshwater crisis, and the shortage is predicted to become severe by 2025. Egypt is exposed to flash floods, especially in Sinai governorate, causing rapid rises of water in a short amount of time and can trigger other catastrophic hazards associated with damage, danger to human life, properties and environment. Flash floods may be considered a source of water that can be explored to meet the water shortage problem. In this study, a composite flash floods vulnerability index based on an integrated hydro-climatic and physical vulnerability component was created. The composite index was based on eight parameters including rainfall distribution, elevation and slope, flow direction, streams, geomorphological features, soil type and land cover. The composite index was ranked into three categories: high, moderate and low. The index can help identify the weak and strong points to support the decision-making process concerned with water management as an essential prerequisite for Egypt sustainable development. The results revealed that the urban, vegetation cover, loamy sand, sand dunes, the low elevation and the flat areas are the most affected by the flash floods in EL-Arish City in Sinai governorate. 42% of Wadi El-Arish had low vulnerability, 45% moderate vulnerability and 13% high vulnerability.

ACS Style

Soha A. Mohamed; Mohamed E. El-Raey. Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai, Egypt. Natural Hazards 2019, 102, 707 -728.

AMA Style

Soha A. Mohamed, Mohamed E. El-Raey. Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai, Egypt. Natural Hazards. 2019; 102 (2):707-728.

Chicago/Turabian Style

Soha A. Mohamed; Mohamed E. El-Raey. 2019. "Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai, Egypt." Natural Hazards 102, no. 2: 707-728.

Article
Published: 01 August 2018 in Environmental Monitoring and Assessment
Reads 0
Downloads 0

Tsunami extreme events present a highly significant hazard and considerable risk to the coastal communities. The continued occurrence of tsunami incidents, together with population growth, increases the risk in coastal communities. Two known catastrophic historic tsunamis in Alexandria occurred in the years 365 and 1303 AD, with reported wave heights of 1 m and 2.9 m, respectively. Approximately 5000 people lost their lives and 50,000 homes were destroyed in the city after the earthquake in 365. The 1303 tsunami destroyed the great lighthouse of Alexandria, one of the seven wonders of the ancient world. In order to avoid such events in the future, a detailed knowledge about the tsunami phenomenon and its potential risk is needed. In this paper, the vulnerability and risk to the city of Alexandria will be examined by remote sensing and GIS techniques considering three scenarios. Methodology used depends on building a comprehensive GIS in addition to recent satellite images. After digitizing raster data, it was then stored into a vector format. A digital parcel map was created; attributes (like distance to shore line, elevation, land use/cover, and population) for each polygon were added. Using the Shuttle Radar Topography Mission images, a digital elevation model was created, to test all the tsunami scenarios (based on 5 m, 9 m, and 20 m wave’s height). Finally, vulnerability analysis including physical as well as social and economic constraints was executed for the determination of the vulnerability level of elements. Results indicated that Alexandria city is highly vulnerable to tsunami hazard. Very high risk covers the biggest portion of the area in Alexandria (49.16% and 58.71%), followed by high risk (30% and 28.41%), medium risk (13.61% and 7.76%), and low and very low risk (20.82% and 12.88%).

ACS Style

Mamdouh M. El-Hattab; Soha A. Mohamed; M. El Raey. Potential tsunami risk assessment to the city of Alexandria, Egypt. Environmental Monitoring and Assessment 2018, 190, 496 .

AMA Style

Mamdouh M. El-Hattab, Soha A. Mohamed, M. El Raey. Potential tsunami risk assessment to the city of Alexandria, Egypt. Environmental Monitoring and Assessment. 2018; 190 (9):496.

Chicago/Turabian Style

Mamdouh M. El-Hattab; Soha A. Mohamed; M. El Raey. 2018. "Potential tsunami risk assessment to the city of Alexandria, Egypt." Environmental Monitoring and Assessment 190, no. 9: 496.