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<p>This study examines urban geoheritage landforms in northern Tabriz, influenced by the North Tabriz Fault (NTF). A novel numerical raster mapping method integrating mountain-front sinuosity (<i>Smf</i>) and slope correlation (<i>SC</i>) techniques was employed, addressing regional tectonic control (RTC) uncertainty. The methodology provides an affordable and accessible approach for identifying topographic regions and serves as a framework for examining urban geoheritage landforms. Section Network Analysis (SNA) identified 29 mountain fronts and delineated six primary regions. Zoning maps of <i>Smf</i> and <i>SC</i> enabled the calculation of tectonic control percentages, validated through P-T dihedra analysis and fuzzy evaluation against empirical data. <i>SC</i> percentages ranged from 63.8 to 77.1%, leading to an input variable matrix for uncertainty characterization and the creation of an <i>SC</i>-<i>Smf</i> hybrid map. The analysis identified eight locations for urban geoheritage tectonic landforms, emphasizing their significance due to their NTF-controlled positions near urban development, which poses an increasing risk of destruction.</p>

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Evaluating urban geoheritage tectonic landforms using a novel numerical raster mapping methodology: a case study of Northern Tabriz, Iran

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月10日

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  • Pouya Sadeghi-Farshbaf,
  • Davoud Mokhtari

摘要

This study examines urban geoheritage landforms in northern Tabriz, influenced by the North Tabriz Fault (NTF). A novel numerical raster mapping method integrating mountain-front sinuosity (Smf) and slope correlation (SC) techniques was employed, addressing regional tectonic control (RTC) uncertainty. The methodology provides an affordable and accessible approach for identifying topographic regions and serves as a framework for examining urban geoheritage landforms. Section Network Analysis (SNA) identified 29 mountain fronts and delineated six primary regions. Zoning maps of Smf and SC enabled the calculation of tectonic control percentages, validated through P-T dihedra analysis and fuzzy evaluation against empirical data. SC percentages ranged from 63.8 to 77.1%, leading to an input variable matrix for uncertainty characterization and the creation of an SC-Smf hybrid map. The analysis identified eight locations for urban geoheritage tectonic landforms, emphasizing their significance due to their NTF-controlled positions near urban development, which poses an increasing risk of destruction.