中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China

文献类型:期刊论文

作者Wei, Li6; Song, Dongri5,6; Cui, Peng6; Su, Lijun6; Zhou, Gordon g. d.6; Hu, Kaiheng6; Wei, Fangqiang4; Hong, Yong6; Ou, Guoqiang6; Zhang, Jun6
刊名EARTH SYSTEM SCIENCE DATA
出版日期2025-12-19
卷号17期号:12页码:7331-7358
关键词none
ISSN号1866-3508
DOI10.5194/essd-17-7331-2025
英文摘要

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) in Jiangjia Ravine, China. The dataset documents 17 001 surges for a total of 278 debris-flow events and encompasses detailed measurements of kinematic parameters of debris flow, including velocity, depth, and discharge, as well as physical-mechanical parameters, such as the 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 1 min 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, validate various computational models, 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; 10.12072/ncdc.ddfors.db6803.2025; 10.12072/ncdc.ddfors.db6804.2025; 10.12072/ncdc.ddfors.db6721.2025; 10.12072/ncdc.ddfors.db6720.2025; 10.12072/ncdc.ddfors.db6807.2025; 10.12072/ncdc.ddfors.db6719.2025; 10.12072/ncdc.ddfors.db6805.2025; 10.12072/ncdc.ddfors.db6716.2025; 10.12072/ncdc.ddfors.db6718.2025; 10.12072/ncdc.ddfors.db6802.2025; 10.12072/ncdc.ddfors.db6806.2025; Song et al., 2025a-k) and is organized into several categories to facilitate ease of use and analysis.

WOS关键词IN-SITU MEASUREMENTS ; YUNNAN PROVINCE ; TORRENTIAL PROCESSES ; INTERMITTENT SURGES ; VIDEO IMAGERY ; LIDAR DATA ; INITIATION ; MAGNITUDE ; VELOCITY ; PROBABILITY
资助项目Chinese Academy of Sciences[IMHE-JCCX-02] ; National Natural Science Foundation of China[42477193] ; National Natural Science Foundation of China[52409109]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001643789100001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.imde.ac.cn/handle/131551/59426]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Song, Dongri
作者单位1.German Res Ctr Geosci GFZ, Earth Surface Proc Modelling, Potsdam, Germany
2.Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore
3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
4.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
5.Natl Cryosphere Desert Data Ctr, Lanzhou 730000, Peoples R China
6.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Engn Resilience, Chengdu 610213, Peoples R China
推荐引用方式
GB/T 7714
Wei, Li,Song, Dongri,Cui, Peng,et al. A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China[J]. EARTH SYSTEM SCIENCE DATA,2025,17(12):7331-7358.
APA Wei, Li.,Song, Dongri.,Cui, Peng.,Su, Lijun.,Zhou, Gordon g. d..,...&Tang, Hui.(2025).A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China.EARTH SYSTEM SCIENCE DATA,17(12),7331-7358.
MLA Wei, Li,et al."A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China".EARTH SYSTEM SCIENCE DATA 17.12(2025):7331-7358.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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