Publications
Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine
A groundbreaking approach using the grasshopper optimization algorithm combined with support vector machine (SVM) has achieved over 95% accuracy in detecting multi-element geochemical anomalies at Takht-e Soleyman, a UNESCO World Heritage Site in northwestern Iran. This method eliminates the need for trial-and-error hyperparameter tuning, significantly reducing training time while maintaining high precision. The optimized SVM model, utilizing polynomial and radial basis kernel functions, not only advances mineral exploration under barren cover but also sets a precedent for applying swarm-intelligence techniques in geoscientific applications. This innovation could revolutionize the identification of undiscovered mineral deposits, addressing a critical challenge in industrial progress.
Regimentation of geochemical indicator elements employing convolutional deep learning algorithm
A convolutional deep learning (CDL) algorithm has demonstrated high accuracy in clustering geochemical indicator elements, achieving root mean square error (RMSE) values below 20% and adjusted R² values above 90%. This approach significantly outperforms traditional methods for recognizing multi-element geochemical anomalies, particularly in mineral exploration contexts. Applied to the Takht-e Soleyman District in Iran, the algorithm effectively predicted dependent variables such as lead (Pb) and silver (Ag) using their independent variables, confirming its robustness and potential for broader geological studies.
Bodies and Glazes of Architectural Ceramics from the Ilkhanid Period at Takht-e Soleyman (North-Western Iran)
Architectural ceramics from the Ilkhanid period at Takht-e Soleyman reveal that tiles were predominantly made with clay or stonepaste and decorated with a mixed alkaline lead glaze containing 8–25 wt% PbO. This glaze composition was also found on kiln furniture residues, suggesting consistent production techniques. The study used non-invasive μXRF for qualitative analysis and SEM/EDX for quantitative insights, providing detailed material characterization. While the findings highlight the technical characteristics of these ceramics, further petrographic analysis is recommended to clarify local or regional production origins.
Mineral chemistry, P-T and tectonometamorphic evolutions of garnet amphibolites from the Takht-e-Soleyman, NW Takab
Garnet amphibolites from Takht-e-Soleyman, a UNESCO World Heritage Site in Iran, reveal distinct mineral chemistry and metamorphic evolution linked to tectonic processes. The study identifies pressure-temperature (P-T) conditions of approximately 6–8 kbar and 700–750°C during the metamorphic peak, suggesting subduction-related metamorphism. Mineral compositions indicate complex fluid-rock interactions, with garnet showing zoning patterns that reflect changes in pressure and temperature over time. This research provides critical insights into the tectonometamorphic history of the region, contributing to a better understanding of the geological dynamics that shaped Takht-e-Soleyman's unique landscape.
Safeguarding and retrofitting works at the UNESCO World Heritage Site Takht‐e Soleyman, Iran
A collaborative effort between the Technical University of Dresden and Iran's cultural heritage organization successfully stabilized the Western Eivan at Takht-e Soleyman, a 6th-century AD fire temple and UNESCO World Heritage Site. The project, supported by Germany’s Federal Foreign Office, employed advanced safeguarding techniques to address structural decay caused by centuries of abandonment and neglect. Preliminary investigations in 2016 laid the groundwork for further stabilization planned for 2018, ensuring the preservation of this historically significant Ilkhanid-era complex.
Ancient Gold-Mercury Mining in the Takht-e Soleyman Area, Northwest Iran
A comprehensive survey of the Takht-e Soleyman area in northwest Iran reveals extensive evidence of ancient gold and mercury mining, including previously undocumented archaeological sites. The study, covering 5000 km², combines geological analysis with detailed documentation of mining relics, highlighting the region's historical significance as a center for metal extraction. Key findings include traces of ore processing techniques and new archaeological discoveries that shed light on ancient metallurgical practices in this UNESCO World Heritage Site.
When theory and practice clash: participatory governance and management in Takht-e Soleyman
This study reveals a significant gap between international theories and national policies on participatory governance and the actual implementation of these approaches at UNESCO World Heritage Sites, particularly in rural cultural landscapes like Takht-e Soleyman. The research highlights challenges in aligning management practices with theoretical values, emphasizing the need for locally tailored strategies. Using a combination of theoretical analysis, in-depth interviews with key stakeholders, and large-scale surveys of local populations, the study provides a detailed examination of governance mechanisms at Takht-e Soleyman. It underscores the importance of adapting participatory management systems to local features while maintaining consistency with broader policies.
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