Subsurface Topographic Modeling Using Geospatial and Data Driven Algorithm

Abstract

Infrastructures play an important role in urbanization and economic activities but are vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the sustainability and resilience often are poorly recognized. In the current paper a 3D topographical predictive model using distributed geospatial data incorporated with evolutionary gene expression programming (GEP) was developed and applied on a concrete-face rockfill dam (CFRD) in Guilan province- northern to generate spatial variation of the subsurface bedrock topography. The compared proficiency of the GEP model with geostatistical ordinary kriging (OK) using different analytical indexes showed 82.53% accuracy performance and 9.61% improvement in precisely labeled data. The achievements imply that the retrieved GEP model efficiently can provide accurate enough prediction and consequently meliorate the visualization insights linking the natural and engineering concerns. Accordingly, the generated subsurface bedrock model dedicates great information on stability of structures and hydrogeological properties, thus adopting appropriate foundations.

Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel

“…The topography and dip direction of the rock level are important factors in water and mud inrush [20][21][22][23][24]. The topography directly affects the development and occurrence characteristics of the underground karst strata.…”

Analysis of the Influence of Thermal Loading on the Behaviour of the Earth’s Crust

“…Our work builds on simpler, previously developed, models [9,18,19,2 Alternatively, the findings or procedures presented in [32], which w for an area in Sweden, can also be used, but their application to the entir Earth is too challenging and complicated.…”

“…In addition to rocks and minerals, there are also gases and water. It is, therefore, an inherently highly anisotropic, heterogeneous and inhomogeneous material [2,[32][33][34][35][36][37][38][39].…”

“…Alternatively, the findings or procedures presented in [32], which were carried out for an area in Sweden, can also be used, but their application to the entire surface of the Earth is too challenging and complicated.…”

Battling COVID-19 using machine learning: A review

“…Referring to available literatures, the applicability of ML and hybridized models successfully in various field of engineering and natural disasters (Abbaszadeh Shahri, Asheghi et al, 2021;Abbaszadeh Shahri, Kheiri et al, 2021;Abbaszadeh Shahri & Maghsoudi Moud, 2020, psychometric analysis (Orrù et al, 2020;Rosenbusch et al, 2021), medical and pharmaceutics (Kan, 2017;Réda et al, 2020;Vamathevan et al, 2019), incorporating with graph theory (Abderrahim et al, 2014) as well as social sciences (N. C. Chen et al, 2018;Grimmer et al, 2021;Hindman, 2015) have been approved.…”