Assessment of Regional Landslide Hazard in Yunyang County Consi- dering the Combined Effect of Reservoir Water Level and Rainfall

XIE Jia-long; LI Yuan-yao; WANG Ning-tao; LIU Yue

doi:10.11988/ckyyb.20200815

PDF(6103 KB)

Journal of Changjiang River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (12) : 72-81. DOI: 10.11988/ckyyb.20200815

ENGINEERING SAFETY AND DISASTER PREVENTION

Assessment of Regional Landslide Hazard in Yunyang County Consi- dering the Combined Effect of Reservoir Water Level and Rainfall

XIE Jia-long¹, LI Yuan-yao¹, WANG Ning-tao², LIU Yue³

Author information +

History +

Abstract

Hazard assessment is a key issue in risk assessment and risk control of regional landslide disaster. With Yunyang County, Chongqing City in the Three Gorges Reservoir area as study area, the stepwise discriminant method was employed to screen key indices (slope, elevation, profile curvature, terrain humidity index, rock and soil types, vegetation coverage and distance to roads) from the initial index system. The spatial probability of landslide was obtained by susceptibility zoning of the whole study area using logistic regression model. Furthermore,the study area was divided into non-reservoir-bank area (beyond 5 km to the water system) and reservoir bank area (within 5 km to the water system). For the time probability of landslide in non-reservoir-bank area, different return periods of rainfall was considered, while for the reservoir bank area, the combination of different reservoir water levels and different rainfall return periods was considered. According to the final comprehensive time probability and susceptibility results, the zoning map of regional landslide hazard risk in Yunyang County was obtained. Results suggest that landslides in the area mainly occur under the combined actions of heavy rainfall and low reservoir water level. Accounting for 52.7% of the total area of Yunyang County, areas of high risks distributed in construction land areas around cities and towns with intense human engineering activities along the main stream of the Yangtze River and its tributaries. The research findings offer reference for improving the accuracy of risk assessment and developing the theory of landslide hazard risk assessment.

Key words

landslide hazards / hazard assessment / reservoir water level / rainfall / Yunyang County

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

XIE Jia-long, LI Yuan-yao, WANG Ning-tao, LIU Yue. Assessment of Regional Landslide Hazard in Yunyang County Consi- dering the Combined Effect of Reservoir Water Level and Rainfall[J]. Journal of Changjiang River Scientific Research Institute. 2021, 38(12): 72-81 https://doi.org/10.11988/ckyyb.20200815

References

[1] COROMINAS J, MOYA J. A Review of Assessing Landslide Frequency for Hazard Zoning Purposes[J]. Engineering Geology, 2008, 102(3/4): 193-213.
[2] FELL R, COROMINAS J, BONNARD C,et al. Guidelines for Landslide Susceptibility, Hazard and Risk Zoning for Land Use Planning[J]. Engineering Geology, 2008, 102(3/4): 85-98.
[3] 张曦, 陈丽霞, 徐勇, 等. 两种斜坡单元划分方法对滑坡灾害易发性评价的对比研究[J]. 安全与环境工程, 2018,25(1):12-17.
[4] 唐川,马国超.基于地貌单元的小区域地质灾害易发性分区方法研究[J].地理科学,2015,35(1):91-98.
[5] MOAYEDI H, MEHRABI M, MOSALLANEZHAD M,et al. Modification of Landslide Susceptibility Mapping Using Optimized PSO-ANN Technique[J]. Engineering with Computers, 2019, 35(3): 967-984.
[6] 郭子正, 殷坤龙, 黄发明, 等. 基于滑坡分类和加权频率比模型的滑坡易发性评价[J]. 岩石力学与工程学报, 2019, 38(2): 287-300.
[7] 夏辉, 殷坤龙, 梁鑫, 等. 基于SVM-ANN模型的滑坡易发性评价:以三峡库区巫山县为例[J]. 中国地质灾害与防治学报, 2018, 29(5): 13-19.
[8] PHAM B T, PRAKASH I. Evaluationand Comparison of Logitboost Ensemble, Fisher’s Linear Discriminant Analysis, Logistic Regression and Support Vector Machines Methods for Landslide Susceptibility Mapping[J]. Geocarto International, 2019, 34(3): 316-333.
[9] 韩玲, 张庭瑜, 张恒. 基于IOE和SVM模型的府谷镇滑坡易发性分区[J]. 水土保持研究, 2019,26(3):367-372.
[10] 闫举生, 谭建民. 基于不同因子分级法的滑坡易发性评价:以湖北远安县为例[J]. 中国地质灾害与防治学报, 2019,30(1):52-60.
[11] 于宪煜, 胡友健, 牛瑞卿. 基于RS-SVM模型的滑坡易发性评价因子选择方法研究[J]. 地理与地理信息科学, 2016,32(3):23-28.
[12] 王念秦, 郭有金, 刘铁铭, 等. 基于SVM-LR模型的滑坡易发性评价:以临潼区为例[J]. 科学技术与工程, 2019,19(30):62-69.
[13] DAS I, STEIN A, KERLE N, et al. Probabilistic Landslide Hazard Assessment Using Homogeneous Susceptible Units (HSU) along a National Highway Corridor in the Northern Himalayas, India[J]. Landslides, 2011, 8(3): 293-308.
[14] PICARELLI L, OBONI F, EVANS S G, et al. Hazard Characterization and Quantification[M]//Landslide Risk Management. Boca Raton: CRC Press, 2005: 37-72.
[15] GUZZETTI F, ARDIZZONE F, CARDINALI M,et al. Landslide Volumes and Landslide Mobilization Rates in Umbria, Central Italy[J]. Earth and Planetary Science Letters, 2009, 279(3/4): 222-229.
[16] 薛强,张茂省,高波.斜坡单元支持下基于土体含水率的陕西省清涧县城区黄土滑坡危险性评价[J].中国地质, 2020, 47(6): 1904-1914.
[17] 王佳佳. 三峡库区万州区滑坡灾害风险评估研究[D].武汉:中国地质大学, 2015.
[18] 杜浩, 汪洋, 周宏, 等. 基于易发性评价的地质灾害利用区域选划研究[J]. 地质科技情报, 2018, 37(6): 266-273.
[19] 杜常见,易庆林,周宝,等.基于GIS和加权信息量的三峡库区云阳县滑坡灾害易发性评价[J].三峡大学学报(自然科学版), 2017, 39(2): 48-53.
[20] 郭子正, 殷坤龙, 刘庆丽, 等. 基于位移比模型的三峡库区云阳县域内蠕变型滑坡降雨预警[J]. 地球科学, 2020, 45(2): 672-684.