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Ahmed Abdelhafiz
Civil Engineering Department, College of Engineering, Taif University, Taif 21099, Saudi Arabia

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Prof. of civil engineering

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Journal article
Published: 29 July 2021 in Sustainability
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This paper discusses in detail the current level of awareness of the Saudi Arabia stakeholders regarding the use and application of green building rating systems. The paper used a mix of qualitative and quantitative research methods through an exploratory method that utilized an online survey targeting experts and construction stakeholders to fill the gap of previous research papers and support the argument of the increase in the level of the awareness of stakeholders in the use and application of green building rating systems in Saudi Arabia. This research aims to focus on the level of awareness of the Saudi construction market stakeholders on green building rating systems in Saudi Arabia with focus on the Leadership in Energy and Environmental Design system LEED and Mostadam. It also investigated which rating system responds to the need of the Saudi construction market with regard to energy conservation and water consumption more effectively. The methodology utilized in this research used a combination of primary and secondary data where the primary data were a survey sent to Saudi construction stakeholders where a total of 1320 respondents participated in the survey. Results from this research showed a promising number of agreements between the participating stakeholders to the level of awareness of green building rating systems in Saudi Arabia and to the willingness to use internationally recognized rating systems such as LEED and the use of locally recognized systems such as Mostadam. Furthermore, the research aims to link the results with the Sustainable Development Goals (SDGs) with a focus on SDGs 6 and 7. The results show a high level of appreciation and agreement to the importance of energy and water conservation in green buildings that will be using either LEED or Mostadam in Saudi Arabia and accomplish the targets outlined under the SDGs.

ACS Style

Mohammed Al-Surf; Ashraf Balabel; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Amal Shamseldin; Mosleh Al-Harthi. Stakeholder’s Perspective on Green Building Rating Systems in Saudi Arabia: The Case of LEED, Mostadam, and the SDGs. Sustainability 2021, 13, 8463 .

AMA Style

Mohammed Al-Surf, Ashraf Balabel, Mamdooh Alwetaishi, Ahmed Abdelhafiz, Usama Issa, Ibrahim Sharaky, Amal Shamseldin, Mosleh Al-Harthi. Stakeholder’s Perspective on Green Building Rating Systems in Saudi Arabia: The Case of LEED, Mostadam, and the SDGs. Sustainability. 2021; 13 (15):8463.

Chicago/Turabian Style

Mohammed Al-Surf; Ashraf Balabel; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Amal Shamseldin; Mosleh Al-Harthi. 2021. "Stakeholder’s Perspective on Green Building Rating Systems in Saudi Arabia: The Case of LEED, Mostadam, and the SDGs." Sustainability 13, no. 15: 8463.

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: 02 June 2021 in Sustainability
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In this study, the recycled concrete aggregates and powder (RCA and RCP) prepared from basaltic concrete waste were used to replace the natural aggregate (NA) and cement, respectively. The NA (coarse and fine) was replaced by the recycled aggregates with five percentages (0%, 20%, 40%, 60% and 80%). Consequently, the cement was replaced by the RCP with four percentages (0%, 5%, 10% and 20%). Cubes with 100 mm edge length were prepared for all tests. The compressive and tensile strengths (fcu and ftu) and water absorption (WA) were investigated for all mixes at different ages. Partial substitution of NA with recycled aggregate reduced the compressive strength with different percentages depending on the type and source of recycled aggregate. After 28 days, the maximum reduction in fcu value was 9.8% and 9.4% for mixtures with coarse RCA and fine RCA (FRCA), respectively. After 56 days, the mixes with 40% FRCA reached almost the same fcu value as the control mix (M0, 99.5%). Consequently, the compressive strengths of the mixes with 10% RCA at 28 and 56 days were 99.3 and 95.2%, respectively, compared to those of M0. The mixes integrated FRCA and RCP showed higher tensile strengths than the M0 at 56 d with a very small reduction at 28 d (max = 3.4%). Moreover, the fcu and ftu values increased for the late test ages, while the WA decreased.

ACS Style

Ibrahim Sharaky; Usama Issa; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Amal Shamseldin; Mohammed Al-Surf; Mosleh Al-Harthi; Ashraf Balabel. Strength and Water Absorption of Sustainable Concrete Produced with Recycled Basaltic Concrete Aggregates and Powder. Sustainability 2021, 13, 6277 .

AMA Style

Ibrahim Sharaky, Usama Issa, Mamdooh Alwetaishi, Ahmed Abdelhafiz, Amal Shamseldin, Mohammed Al-Surf, Mosleh Al-Harthi, Ashraf Balabel. Strength and Water Absorption of Sustainable Concrete Produced with Recycled Basaltic Concrete Aggregates and Powder. Sustainability. 2021; 13 (11):6277.

Chicago/Turabian Style

Ibrahim Sharaky; Usama Issa; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Amal Shamseldin; Mohammed Al-Surf; Mosleh Al-Harthi; Ashraf Balabel. 2021. "Strength and Water Absorption of Sustainable Concrete Produced with Recycled Basaltic Concrete Aggregates and Powder." Sustainability 13, no. 11: 6277.

Journal article
Published: 09 December 2020 in Sustainability
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Along with the global concern of the Environmental Assessment of Buildings, the Kingdom of Saudi Arabia (KSA) had recently used its system, Mostadam, to provide a suitable method to assess its buildings environmentally. Nevertheless, Mostadam still cannot be used for all Saudi Arabia regions without having misleading results, which is due to its various internal regions with their various characteristics. Taif city has its unique environmental characteristics, which affect all the environmental buildings’ assessment fields. This research aimed to adjust the Indoor Environmental Quality (IEQ) field of Mostadam according to Taif characteristics. The research analyzed Taif characteristics that have an impact on the IEQ field, which are mainly related to the occupants’ different comfort needs and health requirements. Then, according to an analytical methods, authors proposed some changes to adjust Mostadam IEQ field according to these characteristics. The research resulted in an obvious difference between the resulted IEQ items weights and formulation versus the origin one of Mostadam, which proves the need for such adjustment to achieve a fair and trusted assessment to achieve the utmost credible assessment results when assessing buildings environmentally in Taif. It is recommended to adjust other assessment fields similarly later on, and then globally.

ACS Style

Amal Shamseldin; Ashraf Balabel; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Mohamed Al-Surf; Mosleh Al-Harthi. Adjustment of the Indoor Environmental Quality Assessment Field for Taif City-Saudi Arabia. Sustainability 2020, 12, 10275 .

AMA Style

Amal Shamseldin, Ashraf Balabel, Mamdooh Alwetaishi, Ahmed Abdelhafiz, Usama Issa, Ibrahim Sharaky, Mohamed Al-Surf, Mosleh Al-Harthi. Adjustment of the Indoor Environmental Quality Assessment Field for Taif City-Saudi Arabia. Sustainability. 2020; 12 (24):10275.

Chicago/Turabian Style

Amal Shamseldin; Ashraf Balabel; Mamdooh Alwetaishi; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Mohamed Al-Surf; Mosleh Al-Harthi. 2020. "Adjustment of the Indoor Environmental Quality Assessment Field for Taif City-Saudi Arabia." Sustainability 12, no. 24: 10275.

Journal article
Published: 19 November 2020 in Sustainability
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The study investigated the level of thermal comfort in historical buildings located at a relatively high altitude in the Arabian Desert of Saudi Arabia. The study focused on the impact of the use of thermal mass and orientation on the level of thermal performance at Shubra and Boqri Palaces. Qualitative and quantitative analyses were used in this study, including a questionnaire interview with architecture experts living at the relatively high altitude of Taif city, to obtain data and information from local experts. The computer software TAS EDSL was used along with on-site equipment, such as thermal imaging cameras and data loggers, to observe the physical conditions of the building in terms of its thermal performance. The study revealed that the experts’ age and years of experience were important aspects while collecting data from them during the survey. The use of thermal mass had a slight impact on the indoor air temperature as well as the energy consumption, but it helped in providing thermal comfort. Use of ventilation can improve thermal comfort level. Evaporative cooling technique has a considerable impact on reducing indoor air temperature with 4 °C drop, improving the thermal comfort sensation level. The novelty of this work is that, it links the outcomes of qualitative results of experts with field monitoring as well as computer modelling. This can contribute as method to accurately collect data in similar case studies.

ACS Style

Mamdooh Alwetaishi; Ashraf Balabel; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Amal Shamseldin; Mohammed Al-Surf; Mosleh Al-Harthi; Mohamed Gadi. User Thermal Comfort in Historic Buildings: Evaluation of the Potential of Thermal Mass, Orientation, Evaporative Cooling and Ventilation. Sustainability 2020, 12, 9672 .

AMA Style

Mamdooh Alwetaishi, Ashraf Balabel, Ahmed Abdelhafiz, Usama Issa, Ibrahim Sharaky, Amal Shamseldin, Mohammed Al-Surf, Mosleh Al-Harthi, Mohamed Gadi. User Thermal Comfort in Historic Buildings: Evaluation of the Potential of Thermal Mass, Orientation, Evaporative Cooling and Ventilation. Sustainability. 2020; 12 (22):9672.

Chicago/Turabian Style

Mamdooh Alwetaishi; Ashraf Balabel; Ahmed Abdelhafiz; Usama Issa; Ibrahim Sharaky; Amal Shamseldin; Mohammed Al-Surf; Mosleh Al-Harthi; Mohamed Gadi. 2020. "User Thermal Comfort in Historic Buildings: Evaluation of the Potential of Thermal Mass, Orientation, Evaporative Cooling and Ventilation." Sustainability 12, no. 22: 9672.

Journal article
Published: 14 November 2018 in Survey Review
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ACS Style

Ahmed Abdelhafiz; Yasser Mostafa. Quantitative quality measure for photorealistic three dimensional models. Survey Review 2018, 52, 183 -189.

AMA Style

Ahmed Abdelhafiz, Yasser Mostafa. Quantitative quality measure for photorealistic three dimensional models. Survey Review. 2018; 52 (371):183-189.

Chicago/Turabian Style

Ahmed Abdelhafiz; Yasser Mostafa. 2018. "Quantitative quality measure for photorealistic three dimensional models." Survey Review 52, no. 371: 183-189.

Review articles
Published: 01 November 2018 in Journal of Spatial Science
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Texture mapping of 3D models in fields like architecture and archaeology is a real challenge especially with a large number of images which are not always captured with the ideal photogrammetric order. In this paper, a new algorithm for full automatic texture mapping is developed based on several parameters. The developed algorithm assigns the suitable texture based on the score summation of five parameters. The algorithm is coded and applied to a megaproject. The results are compared with the state-of-the-art texture mapping algorithms qualitatively and quantitatively. The comparison shows the efficiency and reliability of the developed algorithm.

ACS Style

A. Abdelhafiz; Y. Mostafa. Automatic texture mapping mega-projects. Journal of Spatial Science 2018, 65, 467 -479.

AMA Style

A. Abdelhafiz, Y. Mostafa. Automatic texture mapping mega-projects. Journal of Spatial Science. 2018; 65 (3):467-479.

Chicago/Turabian Style

A. Abdelhafiz; Y. Mostafa. 2018. "Automatic texture mapping mega-projects." Journal of Spatial Science 65, no. 3: 467-479.

Journal article
Published: 14 February 2017 in IEEE Geoscience and Remote Sensing Letters
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High-resolution satellite images contain a huge amount of information. Shadows in such images generate real problems in classifying and extracting the required information. Although signals recorded in shadow area are weak, it is still possible to recover them. Significant work is already done in shadow detection direction but, classifying shadow pixels from vegetation pixels correctly is still an issue as dark vegetation areas are still misclassified as shadow in some cases. In this letter, a new image index is developed for shadow detection employing multiple bands. Shadow pixels are classified from the index histogram by an automatic threshold identification procedure. The whole approach is applied on different study areas and high accuracies are achieved (average of 97%). The linear correlation method is then applied to compensate the classified shadow pixels. Two standard approaches of shadow detection are then applied to the same study areas to validate the proposed approach. The results show that the proposed approach achieves the best results. It also gives robust shadow detection results in classifying shadow from vegetation pixels comparable to the other two considered standard approaches.

ACS Style

Yasser Mostafa; Ahmed Abdelhafiz. Accurate Shadow Detection From High-Resolution Satellite Images. IEEE Geoscience and Remote Sensing Letters 2017, 14, 494 -498.

AMA Style

Yasser Mostafa, Ahmed Abdelhafiz. Accurate Shadow Detection From High-Resolution Satellite Images. IEEE Geoscience and Remote Sensing Letters. 2017; 14 (4):494-498.

Chicago/Turabian Style

Yasser Mostafa; Ahmed Abdelhafiz. 2017. "Accurate Shadow Detection From High-Resolution Satellite Images." IEEE Geoscience and Remote Sensing Letters 14, no. 4: 494-498.