Journal of Remote Sensing & GIS

Samuel Alao

Publications

• Research Article
  Hypothetically Quantifying Flood Vulnerability in a Reservoir Tributary Employing 3-Dimensional Geomorphological Terrain Related Covariants, a Stochastic Iterative Quantitative Interpolator and a Space-time Global Circulation Model Paradigm
  Author(s): Toni Panaou, Samuel Alao and Benjamin JacobToni Panaou, Samuel Alao and Benjamin Jacob
  
  Deaths from flooding in the United States are preventable with the right planning maps and mitigation. This research is revolutionary as it forecast the most vulnerable flooding areas of higher population regions by incorporating future precipitation projections, soil classifications, a 3-dimensional (3-D) digital elevation model (DEM) and the Geographic Information System (GIS) kriging algorithmic iterative interpolation tool to determine the optimal geolocations where storm water drainage detention or retention and improvements should occur. Firstly, utilizing spatial tools and a global circulation models (GCMs), precipitation was mapped to determine high vulnerability areas for future potential flooding. A robust semi variogram, geospatial explanatory locations of precipitation were then parsimoniously constructed for a sample site in Hillsborough County, Florida. Overlaying this d.. View More»
  DOI: 10.4172/2469-4134.1000183

  Abstract PDF