天山地区典型冻融碎屑滑坡现场监测数据
收藏资源简介：
该数据集为位于我国天山中部玛纳斯河源区（43.31°N, 85.07°E）典型冻融碎屑滑坡地温、气象及地表位移数据监测数据。测温探头采用冻土工程国家重点实验自主研制的高精度热敏电阻探头，测温精度0.05℃，数据采集和存储采用CR3000型数采仪。地温的观测深度为20m，其中0-3m为每0.5m一个测温探头，3-20m为每1m一个测温探头。质量控制包括剔除传感器未完全适应土壤环境时的数据和传感器出现故障造成的系统误差。气象数据由假设在滑坡体前缘的小型自动气象站收集，包括1.5米处空气温度、湿度、风速、辐射及降雨量等数据，经过矫正的最终数据以excel文件存储。地温及气象观测时间在2018年8月-2023年6月之间。地表位移由GNSS位移监测站获得，监测时间为2019年10月至2020年5月，精度约为2mm（水平）和5mm（垂向）。本数据集获取的现场数据经多人复查审核，数据完整性和准确度达到95%以上。监测数据可为后期开展冰缘区冻融碎屑滑坡相关研究工作提供必要的数据支撑。
This dataset contains in-situ monitored ground temperature, meteorological and surface displacement data from a typical freeze-thaw debris landslide in the Manas River source area (43.31°N, 85.07°E), central Tianshan Mountains, China. The temperature measurement probes are high-precision thermistor probes independently developed by the State Key Laboratory of Frozen Soil Engineering, with a measurement accuracy of 0.05℃. A CR3000 data logger was used for data acquisition and storage. The ground temperature observation depth reaches 20 m: temperature probes are arranged at 0.5 m intervals within the 0–3 m depth range, and at 1 m intervals for the 3–20 m depth range. Data quality control includes removing data collected when the sensors have not fully adapted to the soil environment, as well as systematic errors caused by sensor malfunctions. Meteorological data were collected by a small automatic weather station installed at the leading edge of the landslide, including air temperature, relative humidity, wind speed, solar radiation and rainfall measured at 1.5 m above the ground. The finalized corrected data are stored in Excel files. Ground temperature and meteorological observations were conducted from August 2018 to June 2023. Surface displacement data were obtained via GNSS displacement monitoring stations, with the monitoring period spanning from October 2019 to May 2020. The measurement accuracy is approximately 2 mm (horizontal) and 5 mm (vertical). The in-situ data of this dataset have been reviewed and verified by multiple researchers, with a data integrity and accuracy rate of over 95%. This monitored dataset can provide necessary data support for subsequent research on freeze-thaw debris landslides in periglacial regions.
