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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17152037 |
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Table of Contents:
- <p><em><span lang="EN-US">Purpose. To develop a lightweight, modular method for assessing urban gas-pipeline vulnerability in seismically active areas, using Almaty as a pilot case. Methods. The approach couples deep</span><span lang="EN-US"> </span><span lang="EN-US">–</span><span lang="EN-US"> </span><span lang="EN-US">learning</span><span lang="EN-US"> </span><span lang="EN-US">–</span><span lang="EN-US"> </span><span lang="EN-US">based surface defect detection (a customized You Only Look Once model – YOLOv11-M) with GIS risk modeling built on a Digital Elevation Model (DEM), terrain slope, and active fault proximity. Detected defects are georeferenced and fused into a Composite Risk Index (CRI) within QGIS. Results. Validation indicates high recognition accuracy (mean Average Precision, mAP = 95.3%; F1-score = 95.2%) and a strong spatial correlation between geohazard zones and defect density, resulting in risk maps that prioritize segments for inspection and prevention. Significance. The framework is scalable and cost-effective for data-constrained municipalities, supporting urban resilience and Smart City strategies.</span></em></p>