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Medhat Osman
Architectural Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt

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Short Biography

assistant Prof. of architectural engineering

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Journal article
Published: 04 June 2021 in Sustainability
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Improving building performance through reducing negative environmental impacts can be achieved by greening existing buildings (GEB), which is considered a very important sustainability process. Due to the risky and uncertain nature of the process of GEB, a growing amount of attention should be given to eliminating the effects of risks on GEB. This research aims to identify most expected risk factors related to GEB, as well as to evaluate their effects through calculating risk factor characteristics, such as risk factor presence (RFP), impact on the GEB process (IGEB), and impact on building performance in the long run (IBP), as new indices describe these risks. Sixty-six risk factors were categorized in seven risk groups related to the economic aspect, social aspect, environmental aspect, managerial aspect, sustainability operation, sustainable design, and renovation. Moreover, a fuzzy model for risk analysis was developed to combine the multi-effects of the aforementioned three risk factor characteristics in one index representing the risk factors’ overall importance. The model was applied and verified for data collected in Saudi Arabia. The results of this study showed that the most important risk group is the greening process of environmental control, while the least important is the greening process of renovation and construction. Using the proposed model improved the results of evaluating risks affecting GEB through merging the multi-effects of risk factor characteristics. The results and analysis proved that the most important key risk factors were environmental in nature. An intricate relationship of the impacts on the GEB process and building performance with the overall importance of the risk factors was clearly found. The decision makers who deal with greening projects in Saudi Arabia should be aware of the key risks identified in this study. The proposed methodology and model can be easily applied to other countries to help decision makers in evaluating their GEB projects, as well as comparing more greening projects based on risk analysis.

ACS Style

Usama Issa; Ibrahim Sharaky; Mamdooh Alwetaishi; Ashraf Balabel; Amal Shamseldin; Ahmed Abdelhafiz; Mohammed Al-Surf; Mosleh Al-Harthi; Medhat Osman. Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings. Sustainability 2021, 13, 6403 .

AMA Style

Usama Issa, Ibrahim Sharaky, Mamdooh Alwetaishi, Ashraf Balabel, Amal Shamseldin, Ahmed Abdelhafiz, Mohammed Al-Surf, Mosleh Al-Harthi, Medhat Osman. Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings. Sustainability. 2021; 13 (11):6403.

Chicago/Turabian Style

Usama Issa; Ibrahim Sharaky; Mamdooh Alwetaishi; Ashraf Balabel; Amal Shamseldin; Ahmed Abdelhafiz; Mohammed Al-Surf; Mosleh Al-Harthi; Medhat Osman. 2021. "Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings." Sustainability 13, no. 11: 6403.

Journal article
Published: 09 February 2021 in Risks
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Coronavirus disease 2019 (COVID-19) continues to spread rapidly all over the world challenging nearly all governments. The exact nature of COVID-19’s spread and risk factors for such a rapid spread are still imprecise as available data depend on confirmed cases only. This may result in an asymmetrically distributed burden among countries. There is an urgent need for developing a new technique or model to identify and analyze risk factors affecting such a spread. Fuzzy logic appears to be suitable for dealing with multi-risk groups with undefined data. The main purpose of this research was to develop a risk analysis model for COVID-19’s spread evaluation. Other objectives included identifying such risk factors aiming to find out reasons for such a fast spread. Nine risk groups were identified and 46 risk factors were categorized under these groups. The methodology in this study depended on identifying each risk factor by its probability of occurrence and its impact on viruses spreading. Many logical rules were used to support the proposed risk analysis model and represented the relation between probabilities and impacts as well as to connect other risk factors. The model was verified and applied in Saudi Arabia with further probable use in similar conditions. Based on the model results, it was found that (daily activities) and (home isolation) are considered groups with highest risk. On the other hand, many risk factors were categorized with high severity such as (poor social distance), (crowdedness) and (poor personal hygiene practices). It was demonstrated that the impact of COVID-19’s spread was found with a positive correlation with the risk factors’ impact, while there was no association between probability of occurrence and impact of the risk factors on COVID-19’s spread. Saudi Arabia’s quick actions have greatly reduced the impact of the risks affecting COVID-19’s spread. Finally, the new model can be applied easily in most countries to help decision makers in evaluating and controlling COVID-19’s spread.

ACS Style

Usama Issa; Ashraf Balabel; Mohammed Abdelhakeem; Medhat Osman. Developing a Risk Model for Assessment and Control of the Spread of COVID-19. Risks 2021, 9, 38 .

AMA Style

Usama Issa, Ashraf Balabel, Mohammed Abdelhakeem, Medhat Osman. Developing a Risk Model for Assessment and Control of the Spread of COVID-19. Risks. 2021; 9 (2):38.

Chicago/Turabian Style

Usama Issa; Ashraf Balabel; Mohammed Abdelhakeem; Medhat Osman. 2021. "Developing a Risk Model for Assessment and Control of the Spread of COVID-19." Risks 9, no. 2: 38.

Journal article
Published: 01 September 2009 in International Journal of Ventilation
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This paper presents a study aimed at evaluating the effectiveness of natural ventilation strategies used in government dwellings in the Egyptian desert climatic design region. Three government housing blocks, built in the New Al-Minya city, were employed as case studies. Autodesk-Ecotect and FloVent CFD software were used to simulate the internal air movement and air temperatures. Theoretical analysis shows that there is considerable cooling potential by natural ventilation, with the thermal comfort potential being improved by up to 52% peak and 33.5% average. Adding thermal mass improves comfort potential by up to 74.5% peak and 66.4% average. However an analysis of the case study buildings showed that theoretical performance could not be achieved. In particular night purge ventilation was not effective as a passive cooling strategy due to poor air circulation across the dwelling. Improved design to take advantage of passive cooling is essential.

ACS Style

T. Gado; Medhat Osman. Investigating Natural Ventilation Inside Walk-Up Housing Blocks in the Egyptian Desert Climatic Design Region. International Journal of Ventilation 2009, 8, 145 -160.

AMA Style

T. Gado, Medhat Osman. Investigating Natural Ventilation Inside Walk-Up Housing Blocks in the Egyptian Desert Climatic Design Region. International Journal of Ventilation. 2009; 8 (2):145-160.

Chicago/Turabian Style

T. Gado; Medhat Osman. 2009. "Investigating Natural Ventilation Inside Walk-Up Housing Blocks in the Egyptian Desert Climatic Design Region." International Journal of Ventilation 8, no. 2: 145-160.