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- Baby, Sultana Nasrin, et al.
(författare)
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Developing a Spatial Tool for Assessing Coastal Community and Identifying Infrastructure at Risk
- 2021
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Ingår i: Engineering. - China : Scientific Research Publishing Inc. - 1947-3931 .- 1947-394X. ; 13:1, s. 45-55
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Tidskriftsartikel (refereegranskat)abstract
- A recent trend of sea level shows constant rising. Sea level rise has caused asignificant risk to seaside areas. This study examines the potential effect ofclimate change and rising sea levels on coastal regions and evaluates the susceptibilityof coastal areas in Inverloch, Melbourne Australia. A model ofHypothetically Flooded Zones, based on LiDAR data was built, processed andmanipulated in ArcGIS. Through applying this model, the effect of rising sealevel on the infrastructures such as buildings, dwellings, roads, land use andthe population was assessed. Elevation data sets of varying resolution and accuracyhave been processed to show the improved quality of LiDAR datacontributes to a more precise delineation of flood-prone coastal lands. Afterthe susceptible areas to sea level rise were delineated, the worst-case scenariowas calculated (based on the increase in sea level projected for 2100) and itwould impacts about 0.86% of roads, 221 of different building infrastructures.This method can be used in other areas to protect the coasts due to rapidchanges caused by climate change.
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| 2. |
- Baby, Sultana Nasrin, et al.
(författare)
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Finding Areas at Risk from Floods in a Downpour Using the Lidar-Based Elevation Model
- 2021
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Ingår i: Journal of Civil Engineering and Architecture. - USA : David Publishing Company. - 1934-7359 .- 1934-7367. ; 15:1
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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