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 stru...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.展开更多
Climate change can impact coastal areas in different ways,including flooding,storm surges,and beach erosion.Of these,flooding has a major impact on the operation of coastal drainage systems.This paper develops a new f...Climate change can impact coastal areas in different ways,including flooding,storm surges,and beach erosion.Of these,flooding has a major impact on the operation of coastal drainage systems.This paper develops a new flood screening model using a LiDAR based digital elevation model(DEM)to improve the implementation of Victorian’s coastal flooding risk assessment and management.Hydrological elevation models are directed towards protection from cloudbursts and applied to rising sea level.The aim is to simulate water flow on the ground and in streams,and the resulting accumulation of water in depressions of the blue spot using DEM.Due to the presence of pipes,watercourses,bridges and channels it was required that the DEM data to be lowered.The reservoirs of rain will prevent seawater from flowing across the stream channel into land.The rain drain will be open during normal sea levels to allow rain water in the river to move and flow in to the sea.Traditionally,geographic information system(GIS)assists with spatial data management,but lacks modelling capability for complex hydrology problems and cannot be relied upon by decision-makers in this sector.Functionality improvements are therefore required to improve the processing or analytical capabilities of GIS in hydrology.This research shows how the spatial data can be primarily processed by GIS adopting the spatial analysis routines associated with hydrology.The objective of this paper is to outline the importance of GIS technology for coastal flood management.Following a definition of the coastal flood,and,short description of its peculiarities and the urgency of its management,this paper describes the use of GIS technology in coastal flood management,its advantages and the consideration for accuracy.This is followed by the information and LiDAR data required for coastal flood management and the application area in coastal flood management.This paper method is presented to conduct a first high-resolution DEM screening to detect the degree and capacities of the sinks in the coastal landscape.When their capacities are established,the rain volumes received during a rainstorm from their coastal catchments are saved as attributes to the pour points.The conclusion emphases the importance of a geographical information system in coastal flood management for efficient data handling and analysis of geographically related data.Local governments at risk of coastal flooding that use the flood screening model can use to determine appropriate land use controls to manage long-term flood risk to human settlements.展开更多
文摘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.
文摘Climate change can impact coastal areas in different ways,including flooding,storm surges,and beach erosion.Of these,flooding has a major impact on the operation of coastal drainage systems.This paper develops a new flood screening model using a LiDAR based digital elevation model(DEM)to improve the implementation of Victorian’s coastal flooding risk assessment and management.Hydrological elevation models are directed towards protection from cloudbursts and applied to rising sea level.The aim is to simulate water flow on the ground and in streams,and the resulting accumulation of water in depressions of the blue spot using DEM.Due to the presence of pipes,watercourses,bridges and channels it was required that the DEM data to be lowered.The reservoirs of rain will prevent seawater from flowing across the stream channel into land.The rain drain will be open during normal sea levels to allow rain water in the river to move and flow in to the sea.Traditionally,geographic information system(GIS)assists with spatial data management,but lacks modelling capability for complex hydrology problems and cannot be relied upon by decision-makers in this sector.Functionality improvements are therefore required to improve the processing or analytical capabilities of GIS in hydrology.This research shows how the spatial data can be primarily processed by GIS adopting the spatial analysis routines associated with hydrology.The objective of this paper is to outline the importance of GIS technology for coastal flood management.Following a definition of the coastal flood,and,short description of its peculiarities and the urgency of its management,this paper describes the use of GIS technology in coastal flood management,its advantages and the consideration for accuracy.This is followed by the information and LiDAR data required for coastal flood management and the application area in coastal flood management.This paper method is presented to conduct a first high-resolution DEM screening to detect the degree and capacities of the sinks in the coastal landscape.When their capacities are established,the rain volumes received during a rainstorm from their coastal catchments are saved as attributes to the pour points.The conclusion emphases the importance of a geographical information system in coastal flood management for efficient data handling and analysis of geographically related data.Local governments at risk of coastal flooding that use the flood screening model can use to determine appropriate land use controls to manage long-term flood risk to human settlements.
