Geological spatial based modelling for economic imperatives in preliminary site investigation

Abstract

The alignment and general layout of the transportation corridors in the natural landscape have a major influence on slope, geology, environmental effects, resource consumption, and structural engineering costs. Transportation infrastructure is also strongly related to a number of sustainability concerns of primary policy relevance. Planners and engineers can use urban geology's information on urban geologic environments as a scientific foundation for proper land use planning and transportation development. Such mapping can be categorized according to its scale, content, and purpose. This study uses Istanbul's engineering geological mapping process as a case study. The Geographic Information System (GIS) was used to build the input layers (slope, topography, and lithology), which were then integrated to create engineering geological maps. A suitability map is used to display the results. The study area was thus divided into two categories: favorable and unfavorable. A spatial representation of intricate geological systems is provided by these segmentations. This study aimed to demonstrate a more thorough investigation of the target region in order to assess the imperatives that need the selection of places for building. Site-specific research, including in-situ and laboratory tests, should expand on the findings of this study in order to determine the necessary parameters for the constructions of greater significance.

Keywords

• Road structural engineeering
• microzonation
• engineering geological mapping

References

1. Kokkala, A., & Marinos, V. (2022). An engineering geological database for managing, planning and protecting intelligent cities: The case of Thessaloniki city in Northern Greece. Engineering Geology, 301, 106617. https://doi.org/10.1016/j.enggeo.2022.106617
2. Zhao, W., Ju, N., & Zhao, J. (2014). Route Alignment and Optimization of Railway Based on Geological Condition. In Engineering Geology for Society and Territory: Applied Geology for Major Engineering Projects, 6, 269-272. https://doi.org/10.1007/978-3-319-09060-3_44
3. Ustaoglu, E., Sisman, S., & Aydınoglu, A. C. (2021). Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques. Ecological Modelling, 455, 109610. https://doi.org/10.1016/j.ecolmodel.2021.109610
4. Dai, F. C., Lee, C. F., & Zhang, X. H. (2001). GIS-based geo-environmental evaluation for urban land-use planning: a case study. Engineering Geology, 61(4), 257-271. https://doi.org/10.1016/S0013-7952(01)00028-X
5. Larsen, J. I. (1973). Geology for planning in Lake County, Illinois. Circular no. 481. https://library.isgs.illinois.edu/Pubs/pdfs/circulars/c481.pdf
6. He, L., Jiao, Y., Zhang, Y., Zheng, F., Peng, H., & Ranjith, P. G. (2024). Innovative geological–geotechnical zoning framework for urban planning: Wuhan’s experience. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 176. https://doi.org/10.1007/s40948-024-00830-5
7. Yang, P., Shang, Y. J., Li, Y. Y., & Li, K. (2024). A borehole engineering geological suitability index (BEGSI) for engineering geological zoning and evaluation of the large-scale infrastructure site. Environmental Earth Sciences, 83(15), 445. https://doi.org/10.1007/s12665-024-11747-3
8. Liu, S., Li, W., & Wang, Q. (2018). Zoning method for environmental engineering geological patterns in underground coal mining areas. Science of the Total Environment, 634, 1064-1076. https://doi.org/10.1016/j.scitotenv.2018.04.060

9. Alibekova, N., Abisheva, A., Dosmukhambetova, B., Saktaganova, N., Abdikerova, U., & Budikova, A. (2023). Use of GIS technologies for zoning urban areas taking into account engineering-geological conditions. GEOMATE Journal, 25(110), 167-175. https://doi.org/10.21660/2023.110.3970
10. Guo, K. (2021). Application of Remote Sensing Technology in Engineering Geological Surveying and Surveying. International Journal of Geology, 6(1). http://doi.org/10.26789/IJG.2021.01.005
11. Akyol, E., Kaya, A., & Alkan, M. (2016). Geotechnical land suitability assessment using spatial multi-criteria decision analysis. Arabian Journal of Geosciences, 9, 1-12. https://doi.org/10.1007/s12517-016-2523-6
12. Gašparović, M. (2020). Urban growth pattern detection and analysis. In Urban ecology, 35-48. https://doi.org/10.1016/B978-0-12-820730-7.00003-3
13. Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International journal of Remote sensing, 28(5), 823-870. https://doi.org/10.1080/01431160600746456
14. Istanbul Metropolitan Municipality, Directorate of Earthquake and Geotechnical Investigation. (2020). Istanbul geological map (1:100,000) [JPEG image].
15. Ince, G. C., Yildirim, M., Özaydin, K., & Özener, P. T. (2008). Seismic microzonation of the historic peninsula of Istanbul. Bulletin of Engineering Geology and the Environment, 67, 41-51.
16. Dou, F., Li, X., Xing, H., Yuan, F., & Ge, W. (2021). 3D geological suitability evaluation for urban underground space development–A case study of Qianjiang Newtown in Hangzhou, Eastern China. Tunnelling and Underground Space Technology, 115, 104052. https://doi.org/10.1016/j.tust.2021.104052
17. Celikbilek, A., & Sapmaz, G. (2016). Risk management and microzonation in urban planning: an analysis for Istanbul. Disaster Science and Engineering, 2(2), 59-66.
18. Pan, D., Xu, Z., Lu, X., Zhou, L., & Li, H. (2020). 3D scene and geological modeling using integrated multi-source spatial data: Methodology, challenges, and suggestions. Tunnelling and Underground Space Technology, 100, 103393. https://doi.org/10.1016/j.tust.2020.103393
19. Çalışkan, B., & Atahan, A. O. (2023). Cartographic modelling and Multi-criteria Analysis (CMCA) for rail transit suitability. Urban Rail Transit, 9(1), 1-18. https://doi.org/10.1007/s40864-023-00186-1