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Special observation data from the National Field Scientific Observation and Research Station of Dongchuan Debris Flow in Yunnan Province in 2025 was released
Recently, the Yunnan Dongchuan Debris Flow National Field Scientific Observation and Research Station systematically compiled the continuous observation data of the Jiangjiagou Debris Flow in 2025, and released it fully online at the National Glacier, Permafrost and Desert Scientific Data Center. This batch of data systems collects the continuous observation results of three typical debris flow events in the Jiangjiagou Basin in 2025, covering multi-source monitoring information such as debris flow kinematic parameters, particle gradation, slurry rheological characteristics, microseismic signals, high-definition video and channel sections. It also includes data on environmental factors such as basin meteorology, minute rainfall, soil moisture temperature, etc., which can provide key data support for in-depth research on the initiation, transport, and accumulation of debris flows. At the same time, it can be used to verify relevant numerical models and provide strong data guarantee for practical applications such as debris flow monitoring and early warning, and risk management. Scientific researchers are welcome to download and use it. Dongchuan Station is currently the debris flow observation and research station with the longest observation history, the most complete observation projects, and the most complete observation experimental equipment and infrastructure in the world. The observation data series lasts for 65 years. The Xiaojiang Basin where it is located in the northern part of the Yunnan-Guizhou Plateau. It is a typical heavy rain and debris flow area in our country and even the world. There are 107 different types of debris flow gullies developed. Jiangjiagou is the most representative debris flow ditch in the Xiaojiang River Basin, with a drainage area of 48.6 square kilometers, a main ditch length of 13.9 kilometers, and an altitude of 1,042 to 3,269 meters. The Jiangjiagou debris flow has diverse flow regimes, complete processes and complete types. It is the world's rare and ideal base for observation, experimental research of natural debris flows. Dongchuan Station has built the country's leading debris flow observation network in Jiangjiagou. In the source area of debris flow, gradient weather stations and rainfall stations are arranged to monitor real-time rainfall, soil moisture, etc., to support the study of changes in rainfall and soil mechanical properties during the formation of debris flow; in the debris flow movement area, debris flow sampling cableways, microseismic monitors, thermal imaging, radar mud level monitors, video monitoring systems, and hydrological runoff observation equipment are arranged to observe dynamic parameters such as debris flow sound, mud level, flow rate, and sediment transport volume. In addition, GNSS landslide displacement monitoring systems, deep displacement monitoring sensors, groundwater level sensors, and soil moisture content sensors are also installed on the large landslide body in the source area to conduct high-precision measurement of landslide surface displacement, deep displacement, groundwater and other parameters in the source area of debris flow., explore the deformation characteristics and instability triggering mechanism of the landslide, and provide quantitative data for the material source of debris flow. The 2025 observation data launched this time covers complete monitoring records of three debris flow events on July 19, July 24, and July 29, 2025, forming a total of 9 data sets, with a total data volume of 104.6 GB, and historical data from 1961 to 2024 form a continuous observation sequence. The data has important reference value for carrying out dynamic mechanism analysis of debris flow, multi-parameter correlation research, numerical model verification and disaster warning. Data topic address: Observation data from 1961 to 2024: https://www.ncdc.ac.cn/portal/topic/detail? id=08f6efe2-c1ff-4072-ae44-f24d2c3b47a5 Observation data for 2025: https://www.ncdc.ac.cn/portal/topic/detail? id=28273f3e-1cf0-4f01-a55c-78d7cff86ec6
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