[1]TIAN Peng,CHANG Yuqiao,BAI Xianfu,et al.Landslide Susceptibility Assessment Based on Weight-of-Evidence Modeling in the Middle and South Sections of the Lijiang-Xiaojinhe Fault[J].Journal of Seismological Research,2023,46(03):332-342.[doi:10.20015/j.cnki.ISSN1000-0666.2023.0044]
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Landslide Susceptibility Assessment Based on Weight-of-Evidence Modeling in the Middle and South Sections of the Lijiang-Xiaojinhe Fault
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
46
Number of periods:
2023 03
Page number:
332-342
Column:
Public date:
2023-09-01
- Title:
- Landslide Susceptibility Assessment Based on Weight-of-Evidence Modeling in the Middle and South Sections of the Lijiang-Xiaojinhe Fault
- CLC:
- P315.94
- DOI:
- 10.20015/j.cnki.ISSN1000-0666.2023.0044
- Abstract:
- The Lijiang-Xiaojinhe fault has intense Holocene activity and frequent earthquakes; the geological disaster,landslide along the fault zone is incredibly developed.In this paper,places 10 km away from both sides of the middle and south sections of the fault zone are taken as the study areas.According to the geological and geographical environment and landslide development characteristics,10 factors are selected.They are topography(elevation,slope,aspect),lithology,distance of faults,roads,rivers,average annual precipitation,land use type,and peak ground acceleration.The weight of evidence method is used to establish the landslide vulnerability evaluation model to evaluate landslide vulnerability of the Lijiang-Xiaojinhe fault.Based on the natural breakpoints’ method,landslide susceptibility is labled as “high”, “medium”, “low” and “none”. The assessed AUC-value is 0.809.The landslide in the study area is mainly affected by slope,fault,river system and lithology.The high- and medium-prone regions are distributed along the fault zone and the both sides of the Jinsha River and other major river systems.The high-prone areas are concentrated in the surrounding areas such as Yulong County,Songping Township and Dadong Township.Xichuan Village is located in the high-prone areas too.However,there are few landslide points.
- References:
-
安晓文,常祖峰,陈守军,等.2018.云南第四纪活动断裂[M].北京:地震出版社.
白仙富,戴雨芡,叶燎原,等.2022.基于GIS和专家知识的滇西南地区滑坡敏感性模糊逻辑推理方法[J].地震研究,45(1):118-131.
邓起东,张培震,冉永康,等.2002.中国活动构造基本特征[J].中国科学:地球科学,32(12):1020-1030.
丁锐,任俊杰,张世民,等.2018.丽江—小金河断裂中段晚第四纪古地震历史[J].地震地质,40(3):622-640.
范强,巨能攀,向喜琼,等.2014.证据权法在区域滑坡危险性评价中的应用——以贵州省为例[J].工程地质学报,22(3):474-481.
郭长宝,杜宇本,张永双,等.2015.川西鲜水河断裂带地质灾害发育特征与典型滑坡形成机理[J].地质通报,34(1):121-134.
郭长宝,张永双,蒋良文,等.2009.基于GIS的滇藏铁路丽江—香格里拉段工程地质条件分区研究[J].现代地质,23(3):545-552.
黄小龙,吴中海,刘锋,等.2021.滇西北程海断裂带主要古地震滑坡及其分布特征的构造解释[J].地学前缘,28(2):125-139.
吉日伍呷,田宏岭,韩继冲,等.2022.基于不同机器学习算法的地震滑坡易发性评价——以鲁甸地震为例[J].昆明理工大学学报(自然科学版),17(2):47-56.
李安,张世民,丁锐,等.2016.丽江—小金河断裂南段全新世古地震研究[C]//中国地震局地壳应力研究所.地壳构造与地壳应力论文集·27.北京:地震出版社,1-9.
李环宇,丁锐,张世民.2020.丽江—小金河断裂南、中段地貌特征及构造指示意义[J].震灾防御技术,15(2):380-391.
李宁,朱良玉,刘雷.2018.丽江—小金河断裂带现今闭锁程度与地震危险性分析[J].地震研究,41(2):244-250.
李学平.2001.用层次分析法求指标权重的标度方法的探讨[J].北京邮电大学学报(社会科学版),3(1):25-27.
凌晓,刘甲美,王涛,等.2021.基于致灾因子对称法分级的信息量模型在地震滑坡危险性评价中的应用[J].国土资源遥感,33(2):172-181.
刘传正,刘艳辉,温铭生,等.2007.长江三峡库区地质灾害成因与评价研究[M].北京:地质出版社.
刘晓霞,邵志刚.2020.丽江—小金河断裂带现今断层运动特征[J].地球物理学报,63(3):1117-1126.
刘振军.2001.层次分析法在青藏高原中西部航磁异常分类及找矿预测中的应用[J].物探与化探,25(3):161-168.
蒲娉璠.2016.重庆市滑坡灾害时空分布特征与易发性评价研究[D].上海:华东师范大学.
石菊松,徐瑞春,石玲,等.2007.基于RS和GIS 技术的清江隔河岩库区滑坡易发性评价与制图[J].地学前缘,14(6):119-128.
唐川,黄楚兴,万晔.1997.云南省丽江大地震及其诱发的崩塌滑坡灾害特征[J].自然灾害学报,6(3):76-84.
王丽丽.2016.降雨型滑坡地质灾善易发性评价中的特征处理方法[D].杭州:浙江大学.
向宏发,徐锡伟,虢顺民,等.2002.丽江—小金河断裂第四纪以来的左旋逆推运动及其构造地质意义—陆内活动地块横向构造的屏蔽作用[J].地震地质,24(2):190-198.
徐锡伟,闻学泽,郑荣章,等.2003.川滇地区活动块体最新构造变动样式及其动力来源[J].中国科学:地球科学,33(S1):151-162.
闫怡秋,杨志华,张绪教,等.2021.基于加权证据权模型的青藏高原东部巴塘断裂带滑坡易发性评价[J].现代地质,35(1):26-37.
杨志华,郭长宝,吴瑞安,等.2021.青藏高原巴塘断裂带地震滑坡危险性预测研究[J].水文地质工程地质,48(5):91-101.
杨志华,郭长宝,姚鑫,等.2017.考虑地震后效应的青藏高原东缘地质灾害易发性评价[J].中国地质灾害与防治学报,28(4):103-112.
张生元,成秋明,张素萍,等.2009.加权证据权模型和逐步证据权模型及其在个旧锡铜矿产资源预测中的应用[J].地球科学—中国地质大学学报,34(2):281-286.
张永双,姚鑫,郭长宝,等.2016.地震扰动区重大滑坡泥石流灾害防治理论与实践[M].北京:科学出版社.
赵晓燕.2018.滇东北地区滑坡地质灾害危险性评价研究[D].昆明:云南大学.
Hoyer A,Kuss O.2020.Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test values[J].Research Synthesis Methods,11(2):301-313.
Lee S,Evangelista D G.2006.Earthquake-induced landslide-susceptibility mapping using an artificial neural network[J].Natural Hazards and Earth System Sciences,6(5):687-695.
Shen Z K,Lü J,Wang M,et al.2005.Contemporary crustal deformation around the southeast borderland of the Tibetan Plateau[J].Journal of Geo-physical Research:Solid Earth,110(B11409).
Walker S P.2019.The ROC curve redefined-optimizing sensitivity(and specificity)to the lived reality of cancer[J].The New England Journal of Medicine,380(17):1594-1595.
FXPC/ZRZY B-01,地质灾害风险调查评价技术要求[S].
GB 18306—2015,中国地震动参数区划图[S].
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Last Update:
2023-06-25