Artificial neural network modeling for spatial and temporal variations of pore-water pressure responses to rainfall

• Main Authors: Rahardjo, Harianto, Mustafa, M. R., Rezaur, R. B., Isa, M. H., Arif, A.
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2015
• Subjects: DRNTU::Science::Physics::Meteorology and climatology
• Online Access: https://hdl.handle.net/10356/103084; http://hdl.handle.net/10220/25807
• Institution: Nanyang Technological University

Knowledge of spatial and temporal variations of soil pore-water pressure in a slope is vital in hydrogeological and hillslope related processes (i.e., slope failure, slope stability analysis, etc.). Measurements of soil pore-water pressure data are challenging, expensive, time consuming, and difficu...