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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 12 - 2024 | doi: 10.3389/feart.2024.1460169

Empowering Urban Development: Geospatial Modeling and Zonation Mapping in New Kabul City, Afghanistan

Provisionally accepted
Amini Mohammad Amini Mohammad 1,2Longsheng Deng Longsheng Deng 1,3*Waqas Hassan Waqas Hassan 4Zidane Fatima Zahra Zidane Fatima Zahra 2Zaryab Abdulhalim Zaryab Abdulhalim 5Shahzad Arfan Shahzad Arfan 6
  • 1 Chang’an University, Xi'an, China
  • 2 School of Geological Engineering and Geomatics of Chang’An University, Xi’an 710054, China, Xián, China
  • 3 Mine Geological Disasters Mechanism and Prevention Key Laboratory, Xi’an 710054, China, School of Geological Engineering and Geomatics of Chang’An University, Xi’an 710054, China, Xián, China
  • 4 National University of Sciences and Technology (NUST), Islamabad, Islamabad, Pakistan
  • 5 Hydrogeology and geological engineering, Kabul Polytechnic University, Kabul, Kabul, Afghanistan
  • 6 National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan

The final, formatted version of the article will be published soon.

    The main difficulties in urban development, choosing a location, and creating preventative safety precautions are accurately characterizing and valuing subsurface soil information from a geotechnical and geological standpoint. This paper discusses how to define and build geotechnical subsoil spatial zonation maps (SZMs) for the new Kabul city, Afghanistan, using traditional ArcGIS software assessing Kriging interpolation approaches. With the city's expansion plans, including New Kabul City's development, our research supports informed urban development strategies. Subsoil data from 213 locations across the city were collected from geotechnical studies, focusing on soil classification, Standard Penetration Test (SPT-N values), undrained shear strength, and consolidation characteristics up to 15m depth. SPT-N and soil type were used to create SZMs, and other parameters were used to evaluate bearing capacity and settlement. The results revealed that SPT-N values divided the research region into three main sections: A (8->50), B (13->50), and C (14->50). The subsurface strata consist of low-plasticity clay (CL) and clayey sand (SC) underlain by highly plastic clay (CH) and silt (MH). Linear regression predicted SPT-N values with depth, showing a strong R² of 0.95. This speeds up sub-soil stiffness and strength assessments during building project planning and feasibility studies. The shallow Kabul foundation has an allowable bearing capacity of over 100 kPa, making it suitable for lightly loaded buildings.Predicting SPT-N levels has an 85% correlation coefficient, while soil type has 94%. Accurate geotechnical data on the soil's underlying layers will help characterize the site and identify future project risks.

    Keywords: statistical interpolation, soil type, geotechnical investigation reports, SPT-N value, Bearing capacity, and regional database

    Received: 05 Jul 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Mohammad, Deng, Hassan, Fatima Zahra, Abdulhalim and Arfan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Longsheng Deng, Chang’an University, Xi'an, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.