TITLE:
Developing Blue Spots Model for Tennessee Using GIS, and Advanced Data Analytics: Literature Review
AUTHORS:
Fasesin Kingsley
KEYWORDS:
Blue Spots, Floods Risks and Management, GIS, Hydrological Models, Geospatial, Model Builder, LiDAR Data, Remote Sensing, Data Analytics Pipe-line
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.11 No.6,
June
28,
2023
ABSTRACT: Climate change and global warming results in natural hazards, including
flash floods. Flash floods can create blue spots; areas where transport
networks (roads, tunnels, bridges, passageways) and other engineering
structures within them are at flood risk. The economic and social impact of
flooding revealed that the damage caused by flash floods leading to blue spots
is very high in terms of dollar amount and direct impacts on people’s lives.
The impact of flooding within blue spots is either infrastructural or social,
affecting lives and properties. Currently, more than 16.1 million properties in
the U.S are vulnerable to flooding, and this is projected to increase by 3.2%
within the next 30 years. Some models have been developed for flood risks
analysis and management including some hydrological models, algorithms and
machine learning and geospatial models. The models and methods reviewed are
based on location data collection, statistical analysis and computation, and
visualization (mapping). This research aims to create blue spots model for the State of
Tennessee using ArcGIS visual programming language (model) and data analytics
pipeline.