Rifaat Abdalla

ORCID: 0000-0003-4324-1261
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About
Contact & Profiles
Research Areas
  • Geographic Information Systems Studies
  • Data Management and Algorithms
  • Flood Risk Assessment and Management
  • 3D Modeling in Geospatial Applications
  • Disaster Management and Resilience
  • Advanced Computational Techniques and Applications
  • COVID-19 epidemiological studies
  • Geological Modeling and Analysis
  • Hydrology and Watershed Management Studies
  • Coastal and Marine Dynamics
  • Semantic Web and Ontologies
  • Land Use and Ecosystem Services
  • Infrastructure Resilience and Vulnerability Analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Reservoir Engineering and Simulation Methods
  • Geological formations and processes
  • COVID-19 diagnosis using AI
  • Service-Oriented Architecture and Web Services
  • Computational Physics and Python Applications
  • Remote-Sensing Image Classification
  • Risk and Safety Analysis
  • Tropical and Extratropical Cyclones Research
  • Anomaly Detection Techniques and Applications
  • Evacuation and Crowd Dynamics

Sultan Qaboos University
2018-2024

King Abdulaziz University
2014-2017

Defence Research and Development Canada
2009-2011

Keele University
2004-2010

York University
2005-2007

Floods are among the most common natural hazards around world. Mapping and evaluating potential flood essential for risk management mitigation strategies, particularly in coastal areas. Several factors play significant roles flooding recognizing role of these flood-related may enhance disaster prediction strategies. This study focuses on using Shannon’s entropy model to predict seven causing floods Governorate Muscat, Sultanate Oman, mapping flood-prone The selected (including ground...

10.3390/ijgi10040252 article EN cc-by ISPRS International Journal of Geo-Information 2021-04-09

10.1016/j.jag.2010.09.003 article EN International Journal of Applied Earth Observation and Geoinformation 2010-10-07

This study presents a geographic information system (GIS)-supported three-dimensional fuzzy risk assessment approach (3D GIS-FRA) for flood that is based on the development of fuzzy-set model, 3D GIS mapping, and hydro-statistical simulation. Using digital elevation model (DEM), urban settings under different levels are visualized hydraulic simulations conducted various river flow scenarios to determine rates specified levels. Then, statistical analysis carried out using historical records...

10.1080/07011784.2014.881058 article EN Canadian Water Resources Journal / Revue canadienne des ressources hydriques 2014-01-02

WebGIS provides key decision support capabilities for disaster and emergency management community. Perspective visualization simultaneous access to data are among those that provide in of informed decisions-making process. This paper presents a application flood modeling section the Don Valley watershed Toronto, Canada. Different flooding scenarios under different hypothetical water surface elevations were predicted visual model has been published visualized environment using GeoServNet...

10.1109/geows.2009.21 article EN 2009-02-01

Abstract This study proposes a large-scale artificial aquifer recharge plan to increase the strategic water reserve cope with future emergencies. The main aim of is restore groundwater levels those 1980s through recharge. Desalinated or highly treated municipal sewage effluent could be artificially recharged into it. Potentiometric surface aquifers and Geographic Information Systems (GIS) analysis were used assess change in between 1980 2009. Zones that have experienced considerable decline...

10.1038/s41598-021-97593-w article EN cc-by Scientific Reports 2021-09-14

This paper discusses the process of designing a spatial “knowledgebase” for infrastructure interdependency. Infrastructure interdependency is new field research that deals with interrelationships between critical sectors in disaster management. The design and implementation knowledgebase mimics selected are conducted. contributes to emergency management by using network-centric modeling approach implementing an WEBGIS environment effective decision-making process, historical scenario...

10.14358/pers.73.6.681 article EN cc-by-nc-nd Photogrammetric Engineering & Remote Sensing 2007-06-01

This research introduces a hybrid approach for flood risk assessment through GIS. The developed is based on the integration of hydraulic simulation and GIS analysis, which allows spatial-based visualisation prediction disaster. In particular, Hydraulic Engineering Center River Analysis System (HEC-RAS) model employed to simulate multi-scenario cases within Canadian context; dimensional stream channel constructed geometry obtained from Digital Elevation Model (DEM), ArcView software used...

10.1504/ijram.2006.009545 article EN International Journal of Risk Assessment and Management 2006-01-01

Road networks and healthcare facilities are among the key critical infrastructure sectors in City of Jeddah. A considerable portion these requires verification possibility being at risk or influenced by various catastrophes, for example flash floods, earthquakes because terrorism operational failures. This paper presents a proposition how concept resiliency can be modelled visualised using geospatial information systems (GIS). The will lay foundation cornerstone emergency management...

10.1504/ijem.2017.083121 article EN International Journal of Emergency Management 2017-01-01

Abstract. Jazan city is a fast-growing coastal in the southern part of Saudi Arabia, Red Sea. Recently, it has encountered quick industrial development activities. To monitor these activities, changes zone morphology explore over last 30 years (1987–2017) using GIS and remote sensing techniques. Four satellite images (TM ETM) acquired during intervals were performed. Furthermore, growth created based on direct digitizing from Google Earth Pro to identify extension expansion area study this...

10.5194/isprs-archives-xlii-3-w4-45-2018 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2018-03-06

Flooding is one of the most commonly occurring natural hazards worldwide.Mapping and evaluation potential flood are vital parts risk assessment mitigation.This study focuses on predicting coastal susceptibility area in Muscat Governorate, Sultanate Oman.First, it assumed that occurrence a hazard can be determined based indicators influencing it.Thus, four were selected classified into five classes their contribution to probability; these include ground elevation, slope degree, soil...

10.2495/risk200111 article EN WIT transactions on engineering sciences 2020-07-29
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