Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-7331-2025
https://doi.org/10.5194/essd-17-7331-2025
Data description paper
 | 
19 Dec 2025
Data description paper |  | 19 Dec 2025

A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China

Li Wei, Dongri Song, Peng Cui, Lijun Su, Gordon G. D. Zhou, Kaiheng Hu, Fangqiang Wei, Yong Hong, Guoqiang Ou, Jun Zhang, Zhicheng Kang, Xiaojun Guo, Wei Zhong, Xiaoyu Li, Yaonan Zhang, Chao Shi, and Hui Tang

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Cited articles

Aaron, J., Spielmann, R., McArdell, B. W., and Graf, C.: High-frequency 3D LiDAR measurements of a debris flow: A novel method to investigate the dynamics of full-scale events in the field, Geophys. Res. Lett., 50, e2022GL102373, https://doi.org/10.1029/2022GL102373, 2023. 
Abancó, C., Hürlimann, M., and Moya, J.: Analysis of the ground vibration generated by debris flows and other torrential processes at the Rebaixader monitoring site (Central Pyrenees, Spain), Nat. Hazards Earth Syst. Sci., 14, 929–943, https://doi.org/10.5194/nhess-14-929-2014, 2014. 
Arattano, M. and Marchi, L.: Systems and sensors for debris-flow monitoring and warning, Sensors, 8, 2436–2452, https://doi.org/10.3390/s8042436, 2008. 
Bel, C., Navratil, O., Liébault, F., Fontaine, F., Bellot, H., and Laigle, D.: Monitoring debris flow propagation in steep erodible channels, in: Engineering geology for society and territory, vol. 3, edited by: Lollino, G., Arattano, M., Rinaldi, M., Giustolisi, O., Marechal, J.-C., and Grant, G. E., Springer International Publishing, 103–107, https://doi.org/10.1007/978-3-319-09054-2_20, 2015. 
Berger, C., McArdell, B., and Schlunegger, F.: Direct measurement of channel erosion by debris flows, Illgraben, Switzerland, J. Geophys. Res., 116, F01002, https://doi.org/10.1029/2010JF001722, 2011. 
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Short summary
This research presents a unique 64-year (1961–2024) debris-flow dataset for Jiangjia Ravine, Dongchuan, Yunnan, China. The dataset includes detailed measurements of debris-flow kinematic parameters (velocity, depth, and discharge), physical–mechanical properties (particle size, yield stress, and viscosity), seismic data, and hydrometeorological records (e.g., minute-by-minute rainfall and soil moisture). The dataset is publicly accessible via the National Cryosphere Desert Data Center (NCDC).
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