Citation: | ZHENG Defeng,PAN Meiyi,GAO Min,et al. Multi-factor risk assessment of landslide disasters under concentrated rainfall in Xianrendong national nature reserve in southern Liaoning Province[J]. Bulletin of Geological Science and Technology,2025,44(2):1-11 doi: 10.19509/j.cnki.dzkq.tb20240509 |
Xianrendong National Nature Reserve in southern Liaoning Province and its adjacent areas have experienced numerous geological disasters, such as landslides, during periods of concentrated rainfall in recent years. However, the vulnerability and risk assessment of landslide disasters in this region under the influence of concentrated rainfall have been rarely explored. Therefore, it is urgent to conduct in-depth research, which is of great significance for effectively reducing the harm of geological disasters in the reserve and enhancing the capacity for emergency response and risk prevention and control.
Firstly, using the SMOTE-Tomek comprehensive sampling method coupled with an XGBoost model, 12 indices including topography, geology and lithology, hydrometeorology, and human engineering activities are deeply analyzed to obtain the evaluation results of landslide susceptibility. Secondly, focusing on the impact of short-term concentrated rainfall and continuous rainfall, daily rainfall data from four weather stations surrounding the study area are used to calculate annual average rainstorm intensity from 2018 to 2023 and three-day cumulative rainfall as risk assessment indicators, enabling the quantitative assessment of landslide hazards. On this basis, considering the vulnerability characteristics of the disaster-bearing body and regional disaster prevention and mitigation capabilities, a multi-factor landslide disaster risk assessment model suitable for the study area is constructed, resulting in a landslide disaster risk zoning map.
The results show that high-risk and above areas account for approximately 10% of the total study area, primarily distributed in the northeast of Xianrendong Town, the north of Buyunshan Town, the north of Changling Town, and the southwest of Hehuashan Town.
In the future, efforts should focus on high-risk areas such as Xianrendong Town, strengthening monitoring and early warning systems to provide decision support for the prevention and control of geological disasters across the entire study area.
[1] |
黄发明,汪洋,董志良,等. 基于灰色关联度模型的区域滑坡敏感性评价[J]. 地球科学,2019,44(2):664-676.
HUANG F M,WANG Y,DONG Z L,et al. Regional landslide susceptibility mapping based on grey relational degree model[J]. Earth Science,2019,44(2):664-676. (in Chinese with English abstract
|
[2] |
裴振伟,年廷凯,吴昊,等. 滑坡地质灾害应急处置技术研究进展[J]. 防灾减灾工程学报,2021,41(6):1382-1394.
PEI Z W,NIAN T K,WU H,et al. Research progress on emergency treatment techniques for landslide geological hazards[J]. Journal of Disaster Prevention and Mitigation Engineering,2021,41(6):1382-1394. (in Chinese with English abstract
|
[3] |
闫成林,郑德凤,年廷凯,等. 基于ANP的模糊贝叶斯网络模型及其在海岸带地质灾害风险评价中的应用[J]. 工程地质学报,2021,29(6):1862-1868.
YAN C L,ZHENG D F,NIAN T K,et al. Fuzzy Bayesian network model based on anp and its application to coastal zone geohazard risk assessment[J]. Journal of Engineering Geology,2021,29(6):1862-1868. (in Chinese with English abstract
|
[4] |
LI Y Y,ZHENG D F,YAN C L,et al. Spatial distributions and multi-factor driving mechanism of landslide in southern Liaodong Peninsula[J]. Frontiers in Ecology and Evolution,2024,11:1339265. doi: 10.3389/fevo.2023.1339265
|
[5] |
国家地震局震害防御司,自然灾害学报编辑部. 国际减轻自然灾害十年计划的实施[M]. 北京:地震出版社,1992.
Earthquake Disaster Prevention Department of State Seismological Bureau,Editorial Department of Journal of Natural Disasters. Implementation of the international ten-year plan for natural disaster reduction[M]. Beijing:Seismological Press,1992. (in Chinese)
|
[6] |
黄发明,胡松雁,闫学涯,等. 基于机器学习的滑坡易发性预测建模及其主控因子识别[J]. 地质科技通报,2022,41(2):79-90.
HUANG F M,HU S Y,YAN X Y,et al. Landslide susceptibility prediction and identification of its main environmental factors based on machine learning models[J]. Bulletin of Geological Science and Technology,2022,41(2):79-90. (in Chinese with English abstract
|
[7] |
ZHANG S H,TAN S C,ZHOU J X,et al. Geological disaster susceptibility evaluation of a random-forest-weighted deterministic coefficient model[J]. Sustainability,2023,15(17):12691. doi: 10.3390/su151712691
|
[8] |
刘帅,朱杰勇,杨得虎,等. 不同降雨工况条件下的崩滑地质灾害危险性评价[J]. 地质科技通报,2024,43(2):253-267.
LIU S,ZHU J Y,YANG D H,et al. Geological hazard risk assessment of collapse and landslide under different rainfall conditions[J]. Bulletin of Geological Science and Technology,2024,43(2):253-267. (in Chinese with English abstract
|
[9] |
张迎宾,徐佩依,林剑锋,等. 基于BP神经网络的九寨沟地区地震滑坡危险性预测研究[J]. 工程地质学报,2024,32(1):133-145.
ZHANG Y B,XU P Y,LIN J F,et al. Earthquake-triggered landslide susceptibility prediction in Jiuzhaigou based on BP neural network[J]. Journal of Engineering Geology,2024,32(1):133-145. (in Chinese with English abstract
|
[10] |
DIKSHIT A,SARKAR R,PRADHAN B,et al. Spatial landslide risk assessment at phuentsholing,Bhutan[J]. Geosciences,2020,10(4):131. doi: 10.3390/geosciences10040131
|
[11] |
NOVELLINO A,CESARANO M,CAPPELLETTI P,et al. Slow-moving landslide risk assessment combining machine learning and InSAR techniques[J]. CATENA,2021,203:105317. doi: 10.1016/j.catena.2021.105317
|
[12] |
RAM P,GUPTA V. Landslide hazard,vulnerability,and risk assessment (HVRA),Mussoorie Township,lesser Himalaya,India[J]. Environment,Development and Sustainability,2022,24(1):473-501.
|
[13] |
TANIMU J J,HAMADA M,HASSAN M,et al. A machine learning method for classification of cervical cancer[J]. Electronics,2022,11(3):463. doi: 10.3390/electronics11030463
|
[14] |
郑德凤,高敏,闫成林,等. 基于卷积神经网络的滑坡易发性评价:以辽南仙人洞国家级自然保护区为例[J]. 地球科学,2024,49(5):1654-1664.
ZHENG D F,GAO M,YAN C L,et al. Susceptibility assessment of landslides based on convolutional neural network model:A case study from Xianrendong National Nature Reserve in southern Liaoning Province[J]. Earth Science,2024,49(5):1654-1664. (in Chinese with English abstract
|
[15] |
CHANDRA W,SUPRIHATIN B,RESTI Y. Median-KNN regressor-SMOTE-tomek links for handling missing and imbalanced data in air quality prediction[J]. Symmetry,2023,15(4):887. doi: 10.3390/sym15040887
|
[16] |
DENG S,PAN H Y,LI C W,et al. A real-time lithological identification method based on SMOTE-tomek and ICSA optimization[J]. Acta Geologica Sinica (English Edition),2024,98(2):518-530. doi: 10.1111/1755-6724.15144
|
[17] |
TARIQ M A,SARGANO A B,IFTIKHAR M A,et al. Comparing different oversampling methods in predicting multi-class educational datasets using machine learning techniques[J]. Cybernetics and Information Technologies,2023,23(4):199-212. doi: 10.2478/cait-2023-0044
|
[18] |
SHI N,LI Y L,WEN L F,et al. Rapid prediction of landslide dam stability considering the missing data using XGBoost algorithm[J]. Landslides,2022,19(12):2951-2963. doi: 10.1007/s10346-022-01947-y
|
[19] |
吴润泽,胡旭东,梅红波,等. 基于随机森林的滑坡空间易发性评价:以三峡库区湖北段为例[J]. 地球科学,2021,46(1):321-330.
WU R Z,HU X D,MEI H B,et al. Spatial susceptibility assessment of landslides based on random forest:A case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science,2021,46(1):321-330. (in Chinese with English abstract
|
[20] |
年廷凯,王国栋,郑德凤,等. 南海北部陆坡区典型峡谷陡坡群地震稳定性[J]. 吉林大学学报(地球科学版),2023,53(6):1785-1798.
NIAN T K,WANG G D,ZHENG D F,et al. Seismic stability of steep slope groups in typical canyons of northern South China Sea[J]. Journal of Jilin University (Earth Science Edition),2023,53(6):1785-1798. (in Chinese with English abstract
|
[21] |
李星,杨赛,李远耀,等. 面向区域滑坡易发性精细化评价的改进斜坡单元法[J]. 地质科技通报,2023,42(3):81-92.
LI X,YANG S,LI Y Y,et al. Improved slope unit method for fine evaluation of regional landslide susceptibility[J]. Bulletin of Geological Science and Technology,2023,42(3):81-92. (in Chinese with English abstract
|
[22] |
吴宏阳,周超,梁鑫,等. 基于XGBoost模型的三峡库区燕山乡滑坡易发性评价与区划[J]. 中国地质灾害与防治学报,2023,34(5):141-152.
WU H Y,ZHOU C,LIANG X,et al. Assessment of landslide susceptibility mapping based on XGBoost model:A case study of Yanshan Township[J]. The Chinese Journal of Geological Hazard and Control,2023,34(5):141-152. (in Chinese with English abstract
|
[23] |
胡杨,张紫昭,林世河. 基于证据权与逻辑回归耦合的新疆伊犁河谷地区滑坡易发性评价[J]. 工程地质学报,2023,31(4):1350-1363.
HU Y,ZHANG Z Z,LIN S H. Evaluation of landslide susceptibility in Ili valley,Xinjiang based on the coupling of WOE model and logistic re-gression[J]. Journal of Engineering Geology,2023,31(4):1350-1363. (in Chinese with English abstract ).
|
[24] |
LI W,YIN Y B,QUAN X W,et al. Gene expression value prediction based on XGBoost algorithm[J]. Frontiers in Genetics,2019,10:1077. doi: 10.3389/fgene.2019.01077
|
[25] |
QIU Y G,ZHOU J,KHANDELWAL M,et al. Performance evaluation of hybrid WOA-XGBoost,GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration[J]. Engineering with Computers,2022,38(5):4145-4162.
|
[26] |
ZHANG P,JIA Y Q,SHANG Y L. Research and application of XGBoost in imbalanced data[J]. International Journal of Distributed Sensor Networks,2022,18(6):155013292211069.
|
[27] |
张富灵. 库水及降雨作用下滑移-弯曲型滑坡形成条件与演化机制研究:以木鱼包滑坡为例[D]. 湖北宜昌:三峡大学,2021.
ZHANG F L. Study on formation conditions and evolution mechanism of slip-bend landslide under the action of reservoir water and rainfall:Taking Muyubao landslide as an example[D]. Yichang Hubei:China Three Gorges University,2021. (in Chinese with English abstract
|
[28] |
LIN J H,CHEN W H,QI X H,et al. Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment[J]. Journal of Cleaner Production,2021,309:127077. doi: 10.1016/j.jclepro.2021.127077
|
[29] |
LIN J H,LIN M S,CHEN W H,et al. Ecological risks of geological disasters and the patterns of the urban agglomeration in the Fujian delta region[J]. Ecological Indicators,2021,125:107475. doi: 10.1016/j.ecolind.2021.107475
|
[30] |
丁明涛,庙成. 基于GIS的芦山地震灾区滑坡灾害风险评价[J]. 自然灾害学报,2014,23(4):81-90.
DING M T,MIAO C. GIS-based risk assessment of landslide hazards in Lushan earthquake-stricken areas[J]. Journal of Natural Disasters,2014,23(4):81-90. (in Chinese with English abstract
|
[31] |
刘海洋,王录仓,常跟应. 郑州“7·20” 特大暴雨灾害对中国铁路运网的冲击过程和机制[J]. 地理学报,2024,79(3):617-634. doi: 10.11821/dlxb202403005
LIU H Y,WANG L C,CHANG G Y. The impact process and mechanism of the superheavy rainfall event in Zhengzhou on July 20,2021 on the China's railway transport network[J]. Acta Geographica Sinica,2024,79(3):617-634. (in Chinese with English abstract doi: 10.11821/dlxb202403005
|
[32] |
HU S Y,YU M,QUE T,et al. Individual willingness to prepare for disasters in a geological hazard risk area:An empirical study based on the protection motivation theory[J]. Natural Hazards,2022,110(3):2087-2111. doi: 10.1007/s11069-021-05026-8
|
[33] |
SHAO L F. Geological disaster prevention and control and resource protection in mineral resource exploitation region[J]. International Journal of Low-Carbon Technologies,2019,14(2):142-146. doi: 10.1093/ijlct/ctz003
|
[34] |
CHEN L,HUANG Y C,BAI R Z,et al. Regional disaster risk evaluation of China based on the universal risk model[J]. Natural Hazards,2017,89(2):647-660. doi: 10.1007/s11069-017-2984-2
|
[35] |
YE J Y,ZHANG R Y,LIN G F,et al. Comprehensive risk assessment of non-typhoon rainstorms over the southeastern coastal region of China[J]. Frontiers in Environmental Science,2022,10:1058054. doi: 10.3389/fenvs.2022.1058054
|
[36] |
荣广智,张继权,李天涛,等. 极端降水诱发地质灾害链风险评估研究:以贵州省水城县为例[J]. 灾害学,2022,37(4):201-210. doi: 10.3969/j.issn.1000-811X.2022.04.031
RONG G Z,ZHANG J Q,LI T T,et al. Risk assessment of extreme precipitation-induced geological disaster chain:A case study of Shuicheng County,Guizhou Province[J]. Journal of Catastrophology,2022,37(4):201-210. (in Chinese with English abstract doi: 10.3969/j.issn.1000-811X.2022.04.031
|
[37] |
王婷,吴绍洪,高江波,等. 区域台风−洪涝−地质灾害链减灾能力评估[J]. 灾害学,2022,37(4):193-200. doi: 10.3969/j.issn.1000-811X.2022.04.030
WANG T,WU S H,GAO J B,et al. Coping capacity assessment of regional typhoon-flood-geological disaster chain[J]. Journal of Catastrophology,2022,37(4):193-200. (in Chinese with English abstract doi: 10.3969/j.issn.1000-811X.2022.04.030
|
[38] |
石菊松,石玲,吴树仁. 利用GIS技术开展滑坡制图的技术方法与流程[J]. 地质通报,2008,27(11):1810-1821. doi: 10.3969/j.issn.1671-2552.2008.11.008
SHI J S,SHI L,WU S R. Techniques and procedures of applications of the GIS technique in landslide map making[J]. Geological Bulletin of China,2008,27(11):1810-1821. (in Chinese with English abstract doi: 10.3969/j.issn.1671-2552.2008.11.008
|
[39] |
郑迎凯,陈建国,王成彬,等. 确定性系数与随机森林模型在云南芒市滑坡易发性评价中的应用[J]. 地质科技通报,2020,39(6):131-144.
ZHENG Y K,CHEN J G,WANG C B,et al. Application of certainty factor and random forests model in landslide susceptibility evaluation in Mangshi City,Yunnan Province[J]. Bulletin of Geological Science and Technology,2020,39(6):131-144. (in Chinese with English abstract
|
[40] |
王璨,肖浩,肖婷,等. 基于机器学习的长沙市滑坡灾害快速风险评价[J]. 矿冶工程,2023,43(5):26-31. doi: 10.3969/j.issn.0253-6099.2023.05.006
WANG C,XIAO H,XIAO T,et al. Efficient risk assessment of landslide disasters in Changsha City based on machine learning[J]. Mining and Metallurgical Engineering,2023,43(5):26-31. (in Chinese with English abstract doi: 10.3969/j.issn.0253-6099.2023.05.006
|