This data set is the observation data of Zhamunongba landslide in Southeastern Tibet from 2016 to 2019. The station is located in Yigong Township, Bomi County, Tibet Autonomous Region. Zhamunonggou is located in the northwest of nanbajiawa peak and the left bank of Yigong Zangbu. The terrain is high in the West and low in the East. Its geomorphic type belongs to alpine landform, with a drainage area of 29.4km2. The geological structure in the area has been significantly uplifted. Zhamunonggou is located in Yigong Tongmai- These uplifted areas are affected by a series of lateral structures and become the prone areas of periodic or quasi periodic landslides and debris flows. The observation station records landslide related data in detail. The data are measured by bucket type rainfall sensor, soil temperature sensor, pore water pressure sensor, water content sensor, water potential sensor and vibration sensor on the site. The collection frequency is 10 minutes / piece. The original data of soil temperature, pore water pressure, water content, water potential and vibration are obtained by CR1000 data collector Daily average data is used for some parameters, and daily cumulative data is used for rainfall data.
Station Name: zhamunongba landslide observation station, longitude and latitude: 94 ° 56 ′ 54,30 ° 11 ′ 13, altitude: 2550m data content: rainfall unit is mm, soil temperature unit is centigrade (℃), pore water pressure unit is kPa (kPa), water content unit is volume ratio (m3 / m3), unit of water potential is pa (PA), unit of vibration is acceleration (g)
Automatic acquisition
The original data is collected automatically by field instruments every 10 minutes, and collected and summarized by professionals regularly. The daily average data of soil temperature, pore water pressure, water content, water potential and vibration are used, and the rainfall data are processed by accumulated rainfall data, and then processed into data set products
The data were acquired and processed by professionals at all stages of the process, and the quality of the data was good.
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.BoMi.2020.17
10.12072/ncdc.BoMi.db0001.2020
