Coastal inundation simulation in Selangor utilising geospatial technology.

• Main Authors: Remli, Nur Sarah Aisyah, Md. Din, Ami Hassan, Zulkifli, Nur Adilla, Hamden, Mohammad Hanif, Rasib, Abd. Wahid, Khalid, Nur Fadila
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: TH434-437 Quantity surveying
• Online Access: http://eprints.utm.my/107935/1/NurSarahAisyahRemli2023_CoastalInundationSimulationinSelangorUtilisingGeospatial.pdf; http://eprints.utm.my/107935/; http://dx.doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-289-2023
• Institution: Universiti Teknologi Malaysia

Coastal inundation is one of the most visible consequences of rising sea levels, affecting socioeconomics and human activities. Coastal inundation is the flooding of normally dry land. This is related to the long-term effects of rising sea levels and the short-term effects, such as floods and storm surges. This study aims to establish a coastal inundation simulation of sea level rise in the Selangor coastal areas using satellite altimetry and Digital Elevation Model (DEM) data, as well as Geographical Information System (GIS) software. This study uses robust fit regression method to generate sea level rise trend and projection using multi-mission satellite altimetry data. The combination of altimetric and DEM data is used to simulate areas susceptible to inundation due to sea level rise. In order to construct maps to determine the location of coastal inundation, ArcGIS software is used to demonstrate the inundation areas. The output of this study, particularly the information on sea level projections will be an invaluable element in assisting authorities with future coastal planning and development, as well as helping local government agencies and the general public by providing information on sea-level rise, flood risk zones, and coastal inundation to predict the upcoming sea level and flood discharge. The findings are intended to observe the increment in sea level in coastal areas, therefore, it is possible to anticipate the expected increase in flood areas in the coming year and make preparations in advance.