A5050399849- Tropical and Extratropical Cyclones Research
- Flood Risk Assessment and Management
- Geographic Information Systems Studies
- Ocean Waves and Remote Sensing
- Climate variability and models
- 3D Modeling in Geospatial Applications
- Environmental Monitoring and Data Management
- Distributed and Parallel Computing Systems
- Geography Education and Pedagogy
- Advanced Data Storage Technologies
- Fire effects on concrete materials
- Hydrology and Drought Analysis
- Structural Response to Dynamic Loads
- Structural Behavior of Reinforced Concrete
- Research Data Management Practices
- Advanced Neural Network Applications
- Transboundary Water Resource Management
- Hydrology and Watershed Management Studies
- Infrastructure Resilience and Vulnerability Analysis
- Geological Modeling and Analysis
- Dutch Social and Cultural Studies
- Maritime Ports and Logistics
- Evacuation and Crowd Dynamics
- Coastal and Marine Dynamics
- Middle East and Rwanda Conflicts
University of Central Florida
2021-2024
Ministry of Water Resources and Irrigation
2024
Tongji University
2024
University College Dublin
2009
Abstract. In coastal regions, floods can arise through a combination of multiple drivers, including direct surface run-off, river discharge, storm surge, and waves. this study, we analyse compound flood potential in Europe environs caused by these four main flooding sources using state-of-the-art databases with coherent forcing (i.e. ERA5). First, the sensitivity to several factors: (1) sampling method, (2) time window select concurrent event conditioned driver, (3) dependence metrics, (4)...
Abstract. Flooding is of particular concern in low-lying coastal zones that are prone to flooding impacts from multiple drivers, such as oceanographic (storm surge and wave), fluvial (excessive river discharge), and/or pluvial (surface runoff). In this study, we analyse, for the first time, compound potential along contiguous United States (CONUS) coastline all using observations reanalysis data sets. We assess overall dependence by Kendall's rank correlation coefficient (τ) tail (extremal)...
Abstract Coastal compound flooding events occur when extreme of rainfall, river discharge and sea level coincide collectively increase water surface elevation, exacerbating flooding. The meteorological conditions that generate these are usually low‐pressure systems high winds intense rainfall. In this study, we identify the types synoptic atmospheric typically associated with coastal using a weather‐type approach, for North Atlantic coastlines (encompassing northwest Europe east coast United...
Flooding in low-lying coastal zones arises from (storm surge, tides, and waves), fluvial (excessive river discharge), pluvial surface runoff) drivers. We analyse changes compound flooding potential around the contiguous United States (CONUS) coastline stemming select combinations of these drivers using long observational records with at least 55 years data. assess temporal tail (extremal) dependence (χ) a 30-year sliding time window. Periods strong are found for windows centered between...
Storm surges are the most important driver of flooding in many coastal areas. Understanding spatial extent storm surge events has financial and practical implications for flood risk management, reinsurance, infrastructure reliability emergency response. In this paper, we apply a new tracking algorithm to high-resolution hindcast (CODEC, 1980–2017) characterize dependence temporal evolution extreme along coastline UK Ireland. We quantify severity each event based on its footprint extremity...
Abstract. Flooding is of particular concern in low-lying coastal zones that are prone to flooding impacts from multiple drivers: oceanographic (storm surge and wave), fluvial (excessive river discharge), and/or pluvial (surface runoff). In this study, we analyse for the first time compound potential along contiguous United States (CONUS) coastline all drivers, using observations reanalysis datasets. We assess overall dependence by Kendall’s rank correlation coefficient (τ) tail (extremal)...
Water scarcity presents significant challenges to sustainable development, particularly in arid regions like Fayoum City, Egypt, which faces particular water due its unique topography. This study explores the pivotal role of pump stations and wastewater reuse mitigating promoting management practices. Utilizing a comprehensive mixed-method approach, including desk research, field surveys, stakeholder interviews, integrating Analytic Hierarchy Process (AHP) into decision-making framework. The...
Abstract. In coastal regions, floods can arise through a combination of multiple drivers, including direct surface run- off, river discharge, storm surge and waves. this study, we analyse compound flood potential in Europe caused by these four main flooding sources using state-of-the-art databases with homogenous forcing (i.e., ERA5). First, perform an analysis to assess the sensitivity several factors: 1) sampling method; 2) time window select concurrent event conditioned driver; 3)...
In this study two different models have been developed and tested with data from 55 hydrometric stations in the Shannon River Basin Ireland for estimating location scale parameters of EV1 distribution Minimum, 3-, 7-, 10-, 15-, 30-days sustained low flow series at ungauged locations.The first is a simple linear model while other fuzzy clustering model.Both calibrated using unconstrained constrained least squares methods.Moreover five input scenarios including various combinations some...
Summary DAOS-SEIS mapping layer is introduced to the seismic community, utilizing evolving DAOS technology, solve some of IO bottlenecks caused by SEGY data format through leveraging graph theory in addition object-based storage design and implement a new natively on top model order accelerate access, provide in-storage compute capabilities process place get rid serial seg-y file constraints. The API built system(dfs) accessed manipulated using after accessing root dfs object. perfectly...