ISSN 1003-8035 CN 11-2852/P
    FENG Fan, TANG Yaming, PAN Xueshu, et al. An attempt of risk assessment of geological hazards in different scales: A case study in Wubao County of Shaanxi Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(2): 115-124. DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-14
    Citation: FENG Fan, TANG Yaming, PAN Xueshu, et al. An attempt of risk assessment of geological hazards in different scales: A case study in Wubao County of Shaanxi Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(2): 115-124. DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-14

    An attempt of risk assessment of geological hazards in different scales: A case study in Wubao County of Shaanxi Province

    • Wubao County is located in the northeastern part of the loess plateau in northern Shaanxi, geological disasters are developing in the area, which seriously threatens the life and property safety of local residents. On the basis of fully analyzing the geological disaster survey data in Wubao County, the evaluation indicators such as slope, slope aspect, and surface curvature were selected for the whole county scale, and the risk assessment was carried out based on the 25 m×25 m grid unit based on the information model based on the GIS platform. The evaluation results are divided into: extremely high risk area, high risk area, medium risk area and low risk area, accounting for 0.63%, 12.58%, 24.40% and 62.39% of the total area respectively. According to the scale of key areas, the factors of slope and slope height are selected, and the analytic hierarchy process model is used to carry out risk assessment of slope units divided by hydrological method based on GIS platform, including 19 extremely high-risk slopes, 69 high-risk slopes, 145 medium-risk slopes, 359 low-risk slopes. The same area (area A) under the two scales was selected to conduct variance analysis on the risk assessment results. It shows that at different scales and the same geographical location, the evaluation results of risk level may be inconsistent. At the county-wide scale, various mathematical statistical models with predictive functions should be used, but at the smaller key area scale, due to the insufficient number of samples used for training, it is not appropriate to use mathematical statistical models. Correspondingly, the grid unit based on GIS tools can be used as the evaluation unit at the county scale; the actual slope body can be used as the evaluation unit at the key area scale.
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