Development of Three-Dimensional Soil Water Dynamic Flow (3D SWD FLOW) Data Model for Landslide Modelling

• Main Authors: Siti Nurbaidzuri, Reli @ Raily, Izham, Mohamad Yusoff, Muhamad Uznir, Ujang, Tharshini, Murthy
• Other Authors: Ram Narayan, Yadava
• Format: Book Chapter
• Language: English
• Published: Springer, Cham 2024
• Subjects: G Geography (General); GE Environmental Sciences
• Online Access: http://ir.unimas.my/id/eprint/45713/1/Book%20Chapter%20Springer%20Siti%20Nurbaidzuri%202024.pdf; http://ir.unimas.my/id/eprint/45713/; https://link.springer.com/book/10.1007/978-3-031-50848-6; https://doi.org/10.1007/978-3-031-50848-6_8
• Institution: Universiti Malaysia Sarawak

Analysis using 3D geospatial models in landslide studies allows for patterning a more likely landslide displacement of soils, which enhances the precision of determining the stability of soil masses. 3D models may better portray displacement planes, lines of landslide fissures, separation walls, protrusion ramparts, and landslide terraces within the developing cirque than 2D flat models. The prediction accuracy of Landslide Susceptibility is significantly enhanced by the addition of spatial attributes to the 3D Model [27]. However, three dimensional geospatial models in landslide research are receiving less attention than other environment-related studies because of the complicated integration of geotechnical and hydrological processes. Due to the challenge of combining a dynamic process with a computational framework, the existing model mostly isolates material failure from propagation. Due to computational efficiency and deformation and flow representation issues, it is still challenging to conduct 3D analysis of the entire landslide process in an integrated way, despite the development of numerous numerical methods to predict landslip occurrence and the extent of sediment flow. Studies of landslides must take into account perspectives and theories in geology (slope material, soil strength) and environmental science (atmospheric condition based on Antecedent Working Rainfall). Thus, the current study deals with engineering and mathematical equations FOS, Extended Multilayer Green and Ampt method, wetting front soil suction head, Corey method and random walk) to create the 3D geospatial data model using Java. The intricacy of 3D landslides compels the researcher to adopt commercially available software with development capabilities.