The data of this paper include: (1) impact factor data: 90m resolution DEM data, China 1 ∶ 250000 grade 1, grade 3, grade 4 and grade 5 River classification data set, which are from the international scientific data mirror website of computer network information center of Chinese Academy of Sciences（ http://www.gscloud.cn ); The spatial distribution data of 1 ∶ 1000000 vegetation types in China (1971-2000), 1 ∶ 500000 geological map of Qinghai Province, 1 ∶ 4000000 geomorphologic map of China and road map of Qinghai Province were obtained from the resource and environmental science data center of Chinese Academy of Sciences（ http://www.resdc.cn ); The annual average rainfall data (1971-2000) is from China Meteorological science data sharing service network（ http://www.data.ac.cn ); The fault data are Holocene active faults, which are derived from the research results of Dong Zhiping (1992)（(2) Geological disaster data: the historical geological disaster data (1 ∶ 100000) is from the geological environment monitoring station of Qinghai Province; The provincial data of major geological hazards are from the Department of natural resources of Qinghai Province（ http://zrzyt.qinghai.gov.cn )。(3) Basic data: the population data comes from the results of the sixth census of the National Bureau of statistics in 2010; The 1:250000 County digital administrative division map of Qinghai Province is from the national basic geographic information center（ http://www.ngcc.cn )。 In this paper, the information model and entropy method are used to calculate the landslides, landslides, debris flows and comprehensive susceptibility index of Hehuang Valley, so as to regionalize the study area. The information model is used to determine the susceptibility index of landslides and landslides. In the evaluation of geological hazard susceptibility, the information model takes the disaster point as the evaluation object, and the influence factor of geological hazard is the evaluation index of the model. The closeness between the model and the research object is evaluated by calculating the contribution degree of each factor. The higher the information is, the higher the susceptibility coefficient is.

File naming and required software

The data set is stored in Excel format, including two worksheets, namely the original data of Hehuang Valley dangerous hidden danger points (low version) and Hehuang dangerous hidden danger points. Among them, there is a sheet file in the work side table of Hehuang Valley dangerous hidden danger points (low version), which contains the data of ID, hidden danger points, longitude and latitude. There are five sheet files in the original data sheet of Hehuang dangerous hidden danger point. The contents of sheet 1 include hidden danger point, geological disaster type, longitude and latitude, occurrence grade; The content of sheet 2 includes longitude, latitude and hidden danger point data; The content of sheet 3 includes data of name, longitude and latitude; The content of sheet 4 includes name, longitude, latitude and number of people threatened; The content of sheet 5 includes name, longitude, latitude and geological disaster grade data. Data files can be opened with office software.

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Cite as:

Hou, G. (2021). Assessment of geological hazard susceptibility in Hehuang valley of Qinghai Province (2010-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geo.tpdc.271276. CSTR: 18406.11.Geo.tpdc.271276. (Download the reference： RIS | Bibtex )

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References literature

1.Li, L. P., Lan, H. X., Guo, C. B., et al. (2017). Geohazard susceptibility assessment along the Sichuan-Tibet railway and its adjacent area using an improved frequency ratio method. Geoscience, 31(5), 911-929. (View Details )

2.Cui P., Su F. H., Zou Q., et al. (2015). Risk assessment and disaster reduction strategies for mountainous and meteorological hazards inTibetan Plateau. Chinese Science Bulletin, 60(32), 3067-3077. (View Details )

3.Dai, F. C., Lee, C. .F, Li, J., et al. (2001). Assessment of landslide susceptibility on the natural terrain of Lantau island. Hong Kong .Environmental Geology, 40(3), 381-391. (View Details )

4.Deng, Y., Zhou, T. G., Jiang, W. G. (2016). Assessment of geological disaster hazard and potential impact in Dujiangyan City. Journal of Catastrophology, 31(2), 196-199, 212. (View Details )

5.Dong, Z. .P, Yao, Z. S., Le, I. F. (1992). Active faults and modern tectonic stress field in the region of eastern Qinghai. Crustal Deformation and Earthquake, 12(4), 64-71. (View Details )

6.Fan, L. F., Hu, R. L., Zeng, F. C., et al. (2012). Application of weighted information value model to landslide susceptibility assessment: a case study of Enshi City, Hubei Province . Journal of Engineering Geology, 20(4), 508-513. (View Details )

7.Guo, B. M., Quan, K. X. (2019). ArcGIS-based disaster risk assessment of Longwu River basin in Qinghai Province. Geology and Resources, 28(3), 289-292. (View Details )

8.Huang, R. Q., LI, Y. G.. (1991). Numerical simulation of bank slope deformation and failure mechanism of horizontal strata in three gorges reservior area. Geological Hazards and Environment Preservation, 2(2), 23-31. (View Details )

9.Huang, R. Q., Xu, X. N., Tang, C., et al. (2008). Geological environment assessment and geological hazards management. Beijing:Science Press, 151-179. (View Details )

10.Jia, G. Y., Quan, Y. Q., L,i Z. H., et al. (2014). Geo-hazards assessment for the Gansu segment in Bailongjiang River basin by using combination weighting method. Journal of Glaciology and Geocryology, 36(5), 1227-1236. (View Details )

11.Jia, X., Lee, H. F., Cui, M. C., et al. (2019). Differentiations of geographic distribution and subsistence strategies between Tibetan and other major ethnic groups are determined by the physical environment in Hehuang Valley. Science China Earth Sciences, 62(2), 412-422. (View Details )

12.Kou, L. N., Bian, J., Zhang, T. T., et al. (2017). The application of GISbased information method in susceptibility evaluation of regional geological hazards in Minhe County, Qinghai Province. Northwestern Geology, 50(2), 244-248. (View Details )

13.Cheng, W. M., Zhou, C. H., Chai, H. X., et al. (2009). Quantitative extraction and analysis of basic morphological types of landgeomorphology in China. Journal of Geo-Information Science, 11( 6), 725-736. (View Details )

14.Li ,Z. S. (2003). The state of the art of the research on seismic landslide hazard at home and abroad. Journal of Catastrophology, 18(4),64-70. (View Details )

15.Liao, L. P., Yu, M., Wen, H. T., et al. (2019). Evaluation on the susceptibility of collapse and landslide in Rongxian County, Southeastern Guangxi. Earth and Environment, 47(4), 518-526. (View Details )

16.Liu, C. Z., Liu, Y. H., Wen, M. S., et al. (2007). Research on the geohazards genesis and assessment in the Three Gorges reservoir of Changjiang River in China. Beijing: Geological Publishing House. (View Details )

17.Liu, X. (2014). Study on risk assessment of debris flow in Ashigong Gui De County, Qinghai Province. Beijing: China University of Geosciences. (View Details )

18.Liu, Y., Tang, C., Feng, Y. (2013). Geological disaster risk assessment based on AHP information method. Earth and Environment, 41(2), 173-179. (View Details )

19.Ni, X. J., Nan, Y. (2014). Comprehensive assessment of geological disasters risk in Changbai Mountain region based on GIS .Journal ofNatural Disasters, 23(1), 112-120. (View Details )

20.Qinghai Provincial Bureau of Statistics. (2016). Qinghai statistical yearbook in 2016. Beijing: China Statistical Publishing House. (View Details )

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Foundation of Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application (No:2019-002)

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