Preprints
https://doi.org/10.5194/essd-2025-190
https://doi.org/10.5194/essd-2025-190
25 Apr 2025
 | 25 Apr 2025
Status: this preprint is currently under review for the journal ESSD.

A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 at 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, and Hui Tang

Abstract. The study of mechanisms of debris-flow formation and movement is constrained by the lack of comprehensive and long-term field monitoring data. In 1961, the Dongchuan Debris Flow Observation and Research Station (DDFORS) was established in the highly active debris-flow catchment of Jiangjia Ravine to conduct continuous field observations of debris flows. With the advancement of technology, more high-precision instruments have been employed to monitor the entire process of debris flows. This paper presents a unique and comprehensive dataset of debris flow and hydrometeorological observations collected over a 64-year period (1961–2024) at Jiangjia Ravine, China. The dataset documents 17,001 surges for a total of 278 debris-flow events, encompasses detailed measurements of kinematic parameters of debris flow, including velocity, depth, and discharge, as well as physical-mechanical parameters such as particle size distribution of debris flow, yield stress, and viscosity of debris-flow slurry. It also incorporates the induced seismic data, providing insights into the dynamic characteristics of debris flows. Furthermore, it includes continuous records of rainfall at minute intervals, soil moisture, and suspended sediment concentrations at the catchment scale. This extensive dataset provides invaluable insights into the initiation, transportation, and deposition processes of debris flows. It can be utilized to analyze flow resistance and dynamic characteristics of debris flows, to validate various computational models, to investigate the effects of debris flows on channel morphology, and evaluate the impact of climate change on sediment transport within watersheds. The dataset is publicly accessible through the National Cryosphere Desert Data Center (NCDC) (https://www.ncdc.ac.cn/) and is organized into several categories to facilitate ease of use and analysis.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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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, and Hui Tang

Status: open (until 01 Jun 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
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, and Hui Tang

Data sets

Debris-flow kinematic data at Jiangjia Ravine, Dongchuan, Yunnan, China, from 1961 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6803.2025

Seismic data of debris flow at Jiangjia Ravine, Yunnan, China, from 2023 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6804.2025

Particle size distribution of debris flows at Jiangjia Ravine, Dongchuan, Yunnan, China, in 1965, 1966, 1974, 1975, 1982, and from 2003 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6721.2025

Rheological data of debris-flow slurry at Jiangjia Ravine, Yunnan, China, from 2003 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6720.2025

Debris flow video at Jiangjia Ravine in 2023 and 2024, Yunnan, China Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6807.2025

Cross-sectional measurement data at Jiangjia Ravine, Yunnan, China, from 1999 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6719.2025

Meteorological data at Jiangjia Ravine and Xiaojiang River Catchment, Yunnan, China Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6805.2025

Rainfall data at Jiangjiag Ravine and Xiaojiang River Catchment, Yunnan, China Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6716.2025

Soil moisture and temperature data at Jiangjia Ravine, Yunnan, China, from 2017 to 2024 Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6718.2025

Sediment concentration and grain size distribution data at Jiangjiag Ravine and Xiaojiang River Catchment, Yunnan, China Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6802.2025

Observation data at runoff plots at Jiangjia Ravine, Yunnan, China Dongri Song et al. http://dx.doi.org/10.12072/ncdc.ddfors.db6806.2025

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, and Hui Tang
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Latest update: 25 Apr 2025
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Short summary
This research presents a unique debris flow dataset over 64 years (1961–2024) at Jiangjia Ravine, Dongchuan, Yunnan, China. The dataset includes detailed measurements of debris-flow kinematic parameters (velocity, depth, discharge), physical-mechanical properties (particle size, yield stress, viscosity), seismic data, and hydrometeorological records (minute-by-minute rainfall, soil moisture, et al.). The dataset is publicly accessible via the National Cryosphere Desert Data Center (NCDC).
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