Seismic, Field, and Remote Sensing Analysis of the 13 February 2024 Çöpler Gold Mine Landslide, Erzincan, Türkiye

Abstract A massive landslide (1–1.2 Mm3) struck the Çöpler Gold Mine in Erzincan, Türkiye, on 13 February 2024 (∼11:30:10 UTC), and killed nine buried miners under a heap leach pad. The landslide was recorded at seismic stations up to 400 km away, with two distinct pulses 48 s apart. These pulses were analyzed using a single-force model with Bayesian bootstrap-based probabilistic inversion, providing insight into the complex forces driving the landslide. This landslide consisted of two mass movements: (F1) westward detachment on a steep slope and (F2) north-northeast movement on a gentler slope, with significant impacts consistent with field observations and optical imagery. Interferometric Synthetic Aperture Radar detected continuous slow deformation over four years at mean rates of up to 60 mm/yr. The cyanide leach pond exhibits critical 85 mm/yr deformation with the risk of environmental contamination because it contains poisonous waste and is located close to the Euphrates River. This study stresses that seismological monitoring and infrastructure resilience are crucial factors in active mining areas.

Authors

Institutions

Publication Details

Journal
The Seismic Record
Published
2025-04-01
DOI
https://doi.org/10.1785/0320250007
Citations
4
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
9.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seismic, Field, and Remote Sensing Analysis of the 13 February 2024 Çöpler Gold Mine Landslide, Erzincan, Türkiye

Deniz Ertuncay, Ezgi Karasözen, Hakan Tanyaş, Tolga Görüm et al.
4 citations
The Seismic Record
Landslides and related hazards
9.69
article

Seismic, Field, and Remote Sensing Analysis of the 13 February 2024 Çöpler Gold Mine Landslide, Erzincan, Türkiye

Deniz Ertuncay, Ezgi Karasözen, Hakan Tanyaş, Tolga Görüm, Angela Carrillo-Ponce, Pınar Büyükakpınar, Muhammad Badar Munir, Athul Palliath
article en
4 citations

Abstract

Abstract A massive landslide (1–1.2 Mm3) struck the Çöpler Gold Mine in Erzincan, Türkiye, on 13 February 2024 (∼11:30:10 UTC), and killed nine buried miners under a heap leach pad. The landslide was recorded at seismic stations up to 400 km away, with two distinct pulses 48 s apart. These pulses were analyzed using a single-force model with Bayesian bootstrap-based probabilistic inversion, providing insight into the complex forces driving the landslide. This landslide consisted of two mass movements: (F1) westward detachment on a steep slope and (F2) north-northeast movement on a gentler slope, with significant impacts consistent with field observations and optical imagery. Interferometric Synthetic Aperture Radar detected continuous slow deformation over four years at mean rates of up to 60 mm/yr. The cyanide leach pond exhibits critical 85 mm/yr deformation with the risk of environmental contamination because it contains poisonous waste and is located close to the Euphrates River. This study stresses that seismological monitoring and infrastructure resilience are crucial factors in active mining areas.

The Seismic RecordVol. 5(2)
University of Alaska Fairbanks (US), University of Potsdam (DE), National Geophysical Research Institute (IN), GFZ Helmholtz Centre for Geosciences (DE), National Institute of Oceanography and Applied Geophysics (IT), Istanbul Technical University (TR), University of Twente (NL)
Agenția Națională pentru Cercetare și Dezvoltare, European Commission, Deutsche Forschungsgemeinschaft, Agencia Nacional de Investigación y Desarrollo, CHIST-ERA
Openalex Percentile: Top 3%
Landslides and related hazards
9.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.