甘肃积石山<i>M</i><sub>s</sub>6.2级地震区滑坡危险性评价与区划

王秀琴; 牛全福; 王浩; 程西安; 李克恭; 牛虎林

doi:10.16031/j.cnki.issn.1003-8035.202405010

甘肃积石山M_s6.2级地震区滑坡危险性评价与区划

1.
甘肃省地图院，甘肃兰州　730000

2.
兰州理工大学土木工程学院，甘肃兰州　730050

3.
甘肃省测绘工程院，甘肃兰州　730000

4.
甘肃省地质矿产勘查开发局第三地质矿产勘查院，甘肃兰州　730050

基金项目: 国家自然科学基金项目（42261069）；甘肃省科技厅重点研发计划项目（22YF7FA074）

详细信息

作者简介: 王秀琴（1974—），甘肃甘谷人，地图学与地理信息系统专业，硕士，研究方向为灾害遥感。E-mail：330398304@qq.com

通讯作者: 牛全福（1973—），甘肃甘谷人，地图学与地理信息系统专业，博士，教授，研究方向为环境遥感。E-mail：Niuqf@lut.edu.cn

中图分类号: P642.22

收稿日期: 2024-05-08

修回日期: 2024-09-05

录用日期: 2025-01-03

刊出日期: 2025-02-25

Risk assessment of landslides induced by the M_s6.2 earthquake in Jishishan, Gansu Province

1.
The Map Institute of Gansu Province, Lanzhou, Gansu　730000, China

2.
School of Civil Engineering, Lanzhou University of Technology, Lanzhou, Gansu　730050, China

3.
Gansu Provincial Institute of Surveying and Mapping, Lanzhou, Gansu　730000, China

4.
The Third Geological and Mineral Exploration Institute of Gansu Provincial Geological and Mineral Exploration and Development Bureau, Lanzhou, Gansu　730050, China

More Information

Corresponding author: NIU Quanfu, Niuqf@lut.edu.cn

Received Date: 08 May 2024

Revised Date: 05 September 2024

Accepted Date: 03 January 2025

Publish Date: 25 February 2025

摘要

摘要:
2023年12月18日23时59分，甘肃省积石山县发生M_s6.2级地震，造成大量人员伤亡及崩塌和滑坡等地震次生灾害。基于震前震后高分辨率卫星影像，利用目视解译的灾害点和影响因子特征集构建MaxEnt模型进行地震后滑坡灾害危险性评价，研究认为：（1）地震诱发滑坡灾害点主要分布在1700～2250 m高程带、坡度20°～25°的阳坡范围内，在距道路距离1.5 km、距断裂带距离1.7 km、距地震中心距离5 km区间广布；（2）由影响因子的贡献率和置换重要性、测试效益值、AUC 值和正则化训练增益值综合得到地震诱发滑坡的主要影响因子为距断裂带的距离、海拔和人口分布；（3）基于构建的MaxEnt模型，得出极高和高危险区主要分布于地震烈度为Ⅷ度区，其面积为5.368 km²，占极高和高危险区总面积的77.82%，而低和极低危险区主要分布于Ⅵ和Ⅶ度区，面积百分比分别为75.33%和97.55%。文章在影响因子重要性分析基础上构建MaxEnt 模型进行震区滑坡灾害危险性评价，研究结果将为震区灾后重建提供参考。
- 积石山6.2级地震 /
- 滑坡 /
- 因子 /
- 重要性分析 /
- MaxEnt模型 /
- 危险性评价
Abstract:
On December 18, 2023, at 23:59, a magnitude M_s6.2 earthquake occurred in Jishishan County, Gansu Province, resulting in significant casualties and triggering numerous secondary geological disasters such as landslides and collapses. Utilizing high-resolution satellite imagery from before and after the earthquake, this study employs a MaxEnt model, constructed with visually interpreted disaster points and a set of impact factor characteristics, to assess the post-earthquake landslide hazard post-earthquake landslide hazard. The research conclusions are as follows: 1) Earthquake-induced landslide disasters are predominantly distributed within sunny slopes at elevations of 1800 to 2300 m and slope gradient of 20° to 25°, extensively across areas 1.5 km from roads, 1.7 km from fault zones, and within 5 km of the earthquake’s epicenter. The majority of the disasters occurred in cropland and loam areas with higher population density in the earthquake region. 2) The main influencing factors for earthquake-induced landslides determined by factor contribution rates, permutation importance, test benefit values, AUC values, and regularization training gain value were comprehensively determined as follows: Distance from the fault zone, Elevation, and Population density; 3) Based on the constructed MaxEnt model, it is found that there is a good consistency between the extremely high and high-risk areas of landslide disasters in the earthquake zone and the seismic intensity. Among them, the extremely high and high-risk areas are mainly distributed in the intensity Ⅷ zone, with an area of 5.368km², accounting for 77.82% of the total area of the extremely high and high-risk zones. The low and very low-risk areas are mainly distributed in the intensity Ⅵ and Ⅶ zones, accounting for 92.80% of the total area of the study region. This study constructs the MaxEnt model based on the importance analysis of impact factors to evaluate the landslide hazard in the earthquake area, providing references for post-disaster reconstruction in the earthquake zone.
- Jishishan M_s6.2 earthquake /
- landslide /
- factor /
- importance analysis /
- MaxEnt model /
- risk assessment

HTML全文

图 1 研究区概况

Figure 1.

下载: 全尺寸图片幻灯片

图 2 积石山地震诱发滑坡灾害点空间分布

Figure 2.

下载: 全尺寸图片幻灯片

图 3 滑坡灾害点的地形因子分布

Figure 3.

下载: 全尺寸图片幻灯片

图 4 滑坡灾害点的各距离因子分布

Figure 4.

下载: 全尺寸图片幻灯片

图 5 滑坡灾害点的其他因子分布

Figure 5.

下载: 全尺寸图片幻灯片

图 6 ROC评价结果

Figure 6.

下载: 全尺寸图片幻灯片

图 7 影响因子刀切法检验结果

Figure 7.

下载: 全尺寸图片幻灯片

图 8 影响因子响应曲线

Figure 8.

下载: 全尺寸图片幻灯片

图 9 土地利用与土壤质地的滑坡响应直方图

Figure 9.

下载: 全尺寸图片幻灯片

图 10 积石山M_s6.2级地震诱发的滑坡危险性评价结果

Figure 10.

下载: 全尺寸图片幻灯片

图 11 积石山震区典型滑坡

Figure 11.

下载: 全尺寸图片幻灯片

表 1 甘肃积石山M_s6.2级地震及余震数据

Table 1. M_s6.2 Jishishan earthquake and its aftershocks in Gansu Province

序号	发震时刻	纬度	经度	深度/km	震级/M_s	地名	备注
1	2023-12-18T23:59:30.0	35°42′	102°47′	10	6.2	积石山县	震中
2	2023-12-19T00:24:49.9	35°44′	102°47′	10	3.9	积石山县	余震
3	2023-12-19T00:36:18.3	35°47′	102°47′	10	4.0	积石山县	余震
4	2023-12-19T00:43:12.9	35°47′	102°46′	10	3.4	积石山县	余震
5	2023-12-19T00:56:51.3	35°42′	102°47′	10	3.4	积石山县	余震
6	2023-12-19T00:59:11.3	35°44′	102°46′	10	3.1	积石山县	余震
7	2023-12-19T00:59:39.0	35°50′	102°47′	10	4.1	积石山县	余震
8	2023-12-19T01:10:31.4	35°48′	102°47′	10	3.2	积石山县	余震
9	2023-12-19T01:20:12.6	35°48′	102°46′	10	3.2	积石山县	余震
10	2023-12-19T02:10:06.4	35°50′	102°46′	10	3.2	积石山县	余震
11	2023-12-19T00:32:52.9	35°46′	102°47′	9	3.4	积石山县	余震

下载: 导出CSV

表 2 甘肃积石山M_s6.2级地震诱发滑坡灾害影响因子数据

Table 2. Disaster-causing factors of landslides induced by the M_s6.2 Jishishan earthquake in Gansu Province

环境变量	影响因子	数据来源
地形因子	高程、坡度、坡向、剖面曲率、平面曲率、曲率、距河流距离、TWI	高程数据为数字高程模型（DEM），下载自ASF官网（https://search.asf.alaska.edu/#/），其它因子数据为DEM的派生数据
断裂带	距断裂带的距离	断裂带数据下载自国家地震科学数据中心（https://search.asf.alaska.edu/#/）
土壤质地	土壤质地数据	下载自世界土壤数据库（https://www.fao.org/）
道路	距道路的距离	OSM官网（https://www.openstreetmap.org/）
人口	人口分布密度	OSM官网（https://www.openstreetmap.org/）
土地利用	地表覆盖	武汉大学CLCD数据集（https://zenodo.org/）
植被	归一化植被指数	国家青藏高原科学数据中心（https://data.tpda.ac.cn/home ）

下载: 导出CSV

表 3 AUC评价标准

Table 3. AUC evaluation criteria

AUC值	精度评价
[0, 0.6）	很差
[0.6, 0.7）	较差
[0.7, 0.8）	一般
[0.8, 0.9）	好
[0.9, 1]	极好

下载: 导出CSV

表 4 滑坡灾害主要影响因子贡献率和置换重要性

Table 4. Contribution rates and permutation importance of main disaster-causing factors of landslides

序号	因子	贡献率/%	置换重要性/%
1	距断裂带距离	39	48.3
2	高程	38.1	45.1
3	人口分布	17.8	1.4
4	土壤质地	1.3	1.3
5	距河流距离	1.2	2.4
6	归一化植被指数	0.8	0.6
7	坡度	0.8	0.1
8	距道路距离	0.6	0.5
9	坡向	0.3	0.2
10	地形湿度指数	0.1	0
11	土地利用	0	0
12	平面曲率	0	0
13	剖面曲率	0	0
14	曲率	0	0

下载: 导出CSV

表 5 不同地震烈度区的危险性等级面积百分比统计

Table 5. Area percentage of different risk grades in various seismic intensity zones

地震烈度	极高危险/%	高危险/%	中危险/%	低危险/%	极低危险/%
Ⅷ区	6.91	19.47	28.82	11.76	33.05
Ⅶ区	1.80	5.95	16.92	16.12	59.21
Ⅵ区	0.03	0.23	2.19	6.15	91.40

下载: 导出CSV

参考文献(38)

[1]	中国地震台网中心. 12月18日23时59分在甘肃省临夏州积石山县发生6.2级地震[EB/OL]. [2023-12-27]. https://www.cenc.ac.cn/cenc/dzxx/409064/index.html. [China Earthquake Networks Center. A magnitude 6.2 earthquake struck Jishishan County, Linxia Prefecture, Gansu Province at 23:59 on December 18[EB/OL]. [2023-12-27]. https://www.cenc.ac.cn/cenc/dzxx/409064/index.html.] China Earthquake Networks Center. A magnitude 6.2 earthquake struck Jishishan County, Linxia Prefecture, Gansu Province at 23:59 on December 18［EB/OL］. [2023-12-27]. https://www.cenc.ac.cn/cenc/dzxx/409064/index.html.
[2]	王勤彩,罗钧,陈翰林,等. 2023年12月18日甘肃积石山6.2级地震震源机制解[J]. 地震,2024,44(1):185 − 188. [WANG Qincai,LUO Jun,CHEN Hanlin,et al. Focal mechanism for the December 18,2023,Jishishan M_s6.2 earthquake in Gansu Province[J]. Earthquake,2024,44(1):185 − 188. (in Chinese with English abstract)] WANG Qincai, LUO Jun, CHEN Hanlin, et al. Focal mechanism for the December 18, 2023, Jishishan M_s6.2 earthquake in Gansu Province［J］. Earthquake, 2024, 44（1）: 185 − 188. （in Chinese with English abstract）
[3]	许强,黄润秋. “5•12”汶川大地震诱发大型崩滑灾害动力特征初探[C]//中国岩石力学与工程学会. 汶川大地震工程震害调查分析与研究,北京:科学出版社,2009:8. [XU Qiang,HUANG Runqiu. A preliminary study of the dynamic characteristics of large-scale landslide disasters induced by the “5•12” Wenchuan earthquake[C]//China Society of Rock Mechanics and Engineering. The Wenchuan earthquake engineering seismic damage investigation and research,Beijing:Science Press,2009:8. (in Chinese with English abstract)] XU Qiang, HUANG Runqiu. A preliminary study of the dynamic characteristics of large-scale landslide disasters induced by the “5•12” Wenchuan earthquake［C］//China Society of Rock Mechanics and Engineering. The Wenchuan earthquake engineering seismic damage investigation and research, Beijing: Science Press, 2009: 8. （in Chinese with English abstract）
[4]	刘俊来,张进江,张培震. 中国构造地质学发展:百年回顾与展望[J]. 地质学报,2022,96(10):3283 − 3296. [LIU Junlai,ZHANG Jinjiang,ZHANG Peizhen. Structural geology development in China:One hundred years[J]. Acta Geologica Sinica,2022,96(10):3283 − 3296. (in Chinese with English abstract)] LIU Junlai, ZHANG Jinjiang, ZHANG Peizhen. Structural geology development in China: One hundred years［J］. Acta Geologica Sinica, 2022, 96（10）: 3283 − 3296. （in Chinese with English abstract）
[5]	李振洪,朱武,余琛,等. 影像大地测量学发展现状与趋势[J]. 测绘学报,2023,52(11):1805 − 1834. [LI Zhenhong,ZHU Wu,YU Chen,et al. Development status and trends of imaging geodesy[J]. Acta Geodaetica et Cartographica Sinica,2023,52(11):1805 − 1834. (in Chinese with English abstract)] LI Zhenhong, ZHU Wu, YU Chen, et al. Development status and trends of imaging geodesy［J］. Acta Geodaetica et Cartographica Sinica, 2023, 52（11）: 1805 − 1834. （in Chinese with English abstract）
[6]	黄润秋. 汶川8.0级地震触发崩滑灾害机制及其地质力学模式[J]. 岩石力学与工程学报,2009,28(6):1239 − 1249. [HUANG Runqiu. Mechanism and geomechanical modes of landslide hazards triggered by Wenchuan 8.0 earthquake[J]. Chinese Journal of Rock Mechanics and Engineering,2009,28(6):1239 − 1249. (in Chinese with English abstract)] HUANG Runqiu. Mechanism and geomechanical modes of landslide hazards triggered by Wenchuan 8.0 earthquake［J］. Chinese Journal of Rock Mechanics and Engineering, 2009, 28（6）: 1239 − 1249. （in Chinese with English abstract）
[7]	柴贺军,刘汉超,张倬元. 中国滑坡堵江事件目录[J]. 地质灾害与环境保护,1995,6(4):1 − 9. [CHAI Hejun,LIU Hanchao,ZHANG Zhuoyuan. The catalog of Chinese landslide dam events[J]. Journal of Geological Hazards and Environment Preservation,1995,6(4):1 − 9. (in Chinese with English abstract)] CHAI Hejun, LIU Hanchao, ZHANG Zhuoyuan. The catalog of Chinese landslide dam events［J］. Journal of Geological Hazards and Environment Preservation, 1995, 6（4）: 1 − 9. （in Chinese with English abstract）
[8]	许冲,戴福初,肖建章. “5•12” 汶川地震诱发滑坡特征参数统计分析[J]. 自然灾害学报,2011,20(4):147 − 153. [XU Chong,DAI Fuchu,XIAO Jianzhang. Statistical analysis of characteristic parameters of landslides triggered by May 12,2008 Wenchuan earthquake[J]. Journal of Natural Disasters,2011,20(4):147 − 153. (in Chinese with English abstract)] XU Chong, DAI Fuchu, XIAO Jianzhang. Statistical analysis of characteristic parameters of landslides triggered by May 12, 2008 Wenchuan earthquake［J］. Journal of Natural Disasters, 2011, 20（4）: 147 − 153. （in Chinese with English abstract）
[9]	陶和平,刘斌涛,刘淑珍,等. 遥感在重大自然灾害监测中的应用前景——以5•12汶川地震为例[J]. 山地学报,2008,26(3):276 − 279. [TAO Heping,LIU Bintao,LIU Shuzhen,et al. Natural hazards monitoring using remote sensing:A case study of 5•12 Wenchuan earthquake[J]. Mountain Research,2008,26(3):276 − 279. (in Chinese with English abstract)] TAO Heping, LIU Bintao, LIU Shuzhen, et al. Natural hazards monitoring using remote sensing: A case study of 5•12 Wenchuan earthquake［J］. Mountain Research, 2008, 26（3）: 276 − 279. （in Chinese with English abstract）
[10]	许冲,徐锡伟,戴福初,等. 2010年4月14日玉树地震滑坡空间分布与控制变量分析[J]. 工程地质学报,2011,19(4):505 − 510. [XU Chong,XU Xiwei,DAI Fuchu,et al. Analysis of spatial distribution and controlling parameters of landslides triggered by the April 14,2010 Yushu earthquake[J]. Journal of Engineering Geology,2011,19(4):505 − 510. (in Chinese with English abstract)] doi: 10.3969/j.issn.1004-9665.2011.04.011 XU Chong, XU Xiwei, DAI Fuchu, et al. Analysis of spatial distribution and controlling parameters of landslides triggered by the April 14, 2010 Yushu earthquake［J］. Journal of Engineering Geology, 2011, 19（4）: 505 − 510. （in Chinese with English abstract） doi: 10.3969/j.issn.1004-9665.2011.04.011
[11]	NIU Quanfu,CHENG Weiming,LIU Yong,et al. Risk assessment of secondary geological disasters induced by the Yushu earthquake[J]. Journal of Mountain Science,2012,9(2):232 − 242. doi: 10.1007/s11629-012-2076-4
[12]	和海霞,李素菊,刘明,等. 云南鲁甸6.5级地震灾区滑坡分布特征研判分析[J]. 灾害学,2016,31(1):92 − 95. [HE Haixia,LI Suju,LIU Ming,et al. Research on landslide spatial distribution in Ludian earthquake disaster area[J]. Journal of Catastrophology,2016,31(1):92 − 95. (in Chinese with English abstract)] HE Haixia, LI Suju, LIU Ming, et al. Research on landslide spatial distribution in Ludian earthquake disaster area［J］. Journal of Catastrophology, 2016, 31（1）: 92 − 95. （in Chinese with English abstract）
[13]	梁昌健. 四川九寨沟M_s7.0级地震的发震构造及成因机制分析[D]. 成都:成都理工大学,2019. [LIANG Changjian. Analysis of seismogenic structure and genetic mechanism of Jiuzhaigou earthquake with M_s7.0 in Sichuan Province[D]. Chengdu:Chengdu University of Technology,2019. (in Chinese with English abstract)] LIANG Changjian. Analysis of seismogenic structure and genetic mechanism of Jiuzhaigou earthquake with M_s7.0 in Sichuan Province［D］. Chengdu: Chengdu University of Technology, 2019. （in Chinese with English abstract）
[14]	徐浪,陈强,吴远昆,等. 2022年泸定M_w6.7地震滑动模型及地震风险性评估[J]. 大地测量与地球动力学,2024,44(5):473 − 478. [XU Lang,CHEN Qiang,WU Yuankun,et al. Coseismic slip model of the 2022 Luding M_w6.7 earthquake and seismic risk assessment[J]. Journal of Geodesy and Geodynamics,2024,44(5):473 − 478. (in Chinese with English abstract)] XU Lang, CHEN Qiang, WU Yuankun, et al. Coseismic slip model of the 2022 Luding M_w6.7 earthquake and seismic risk assessment［J］. Journal of Geodesy and Geodynamics, 2024, 44（5）: 473 − 478. （in Chinese with English abstract）
[15]	铁永波,张宪政,曹佳文,等. 积石山M_s6.2级和泸定M_s6.8级地震地质灾害发育规律对比[J]. 成都理工大学学报(自然科学版),2024,51(1):9 − 21. [TIE Yongbo,ZHANG Xianzheng,CAO Jiawen,et al. Comparative research of the characteristics of geological hazards induced by the Jishishan(M_s6.2) and Luding(M_s6.8) earthquakes[J]. Journal of Chengdu University of Technology (Science & Technology Edition),2024,51(1):9 − 21. (in Chinese with English abstract)] doi: 10.3969/j.issn.1671-9727.2024.01.02 TIE Yongbo, ZHANG Xianzheng, CAO Jiawen, et al. Comparative research of the characteristics of geological hazards induced by the Jishishan（M_s6.2） and Luding（M_s6.8） earthquakes［J］. Journal of Chengdu University of Technology （Science & Technology Edition）, 2024, 51（1）: 9 − 21. （in Chinese with English abstract） doi: 10.3969/j.issn.1671-9727.2024.01.02
[16]	杜源,王纯,张勤,等. 顾及黄土滑坡灾害状态特征的实时GNSS滤波算法[J]. 武汉大学学报(信息科学版),2023,48(7):1216 − 1222. [DU Yuan,WANG Chun,ZHANG Qin,et al. Real-time GNSS filtering algorithm considering state characteristics of loess landslide hazards[J]. Geomatics and Information Science of Wuhan University,2023,48(7):1216 − 1222. (in Chinese with English abstract)] DU Yuan, WANG Chun, ZHANG Qin, et al. Real-time GNSS filtering algorithm considering state characteristics of loess landslide hazards［J］. Geomatics and Information Science of Wuhan University, 2023, 48（7）: 1216 − 1222. （in Chinese with English abstract）
[17]	黄观文,景策,李东旭,等. 甘肃积石山6.2级地震对滑坡易发区的变形影响分析[J/OL]. 武汉大学学报(信息科学版) [2024-01-09](2024-05-08). https://doi.org/10.13203/j.whugis20230490. [HUANG Guanwen,JING Ce,LI Dongxu,et al. Analysis of deformation impacts on landslide-prone areas by the magnitude 6.2 earthquake in Jishishan,Gansu[J/OL]. Geomatics and Information Science of Wuhan University. [2024-01-09](2024-05-08). https://doi.org/10.13203/j.whugis20230490. (in Chinese with English abstract)] HUANG Guanwen, JING Ce, LI Dongxu, et al. Analysis of deformation impacts on landslide-prone areas by the magnitude 6.2 earthquake in Jishishan, Gansu［J/OL］. Geomatics and Information Science of Wuhan University. [2024-01-09]（2024-05-08）. https://doi.org/10.13203/j.whugis20230490. （in Chinese with English abstract）
[18]	于开宁,吴涛,魏爱华,等. 基于AHP-突变理论组合模型的地质灾害危险性评价——以河北平山县为例[J]. 中国地质灾害与防治学报,2023,34(2):146 − 155. [YU Kaining,WU Tao,WEI Aihua,et al. Geological hazard assessment based on the models of AHP,catastrophe theory and their combination:A case study in Pingshan County of Hebei Province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(2):146 − 155. (in Chinese with English abstract)] YU Kaining, WU Tao, WEI Aihua, et al. Geological hazard assessment based on the models of AHP, catastrophe theory and their combination: A case study in Pingshan County of Hebei Province［J］. The Chinese Journal of Geological Hazard and Control, 2023, 34（2）: 146 − 155. （in Chinese with English abstract）
[19]	牛全福,冯尊斌,张映雪,等. 基于GIS的兰州地区滑坡灾害孕灾环境敏感性评价[J]. 灾害学,2017,32(3):29 − 35. [NIU Quanfu,FENG Zunbin,ZHANG Yingxue,et al. Susceptibility assessment of disaster environment for landslide hazard based on GIS in Lanzhou area[J]. Journal of Catastrophology,2017,32(3):29 − 35. (in Chinese with English abstract)] doi: 10.3969/j.issn.1000-811X.2017.03.006 NIU Quanfu, FENG Zunbin, ZHANG Yingxue, et al. Susceptibility assessment of disaster environment for landslide hazard based on GIS in Lanzhou area［J］. Journal of Catastrophology, 2017, 32（3）: 29 − 35. （in Chinese with English abstract） doi: 10.3969/j.issn.1000-811X.2017.03.006
[20]	杨得虎,朱杰勇,刘帅,等. 基于信息量、加权信息量与逻辑回归耦合模型的云南罗平县崩滑灾害易发性评价对比分析[J]. 中国地质灾害与防治学报,2023,34(5):43 − 53. [YANG Dehu,ZHU Jieyong,LIU Shuai,et al. Comparative analyses of susceptibility assessment for landslide disasters based on information value,weighted information value and logistic regression coupled model in Luoping County,Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(5):43 − 53. (in Chinese with English abstract)] YANG Dehu, ZHU Jieyong, LIU Shuai, et al. Comparative analyses of susceptibility assessment for landslide disasters based on information value, weighted information value and logistic regression coupled model in Luoping County, Yunnan Province［J］. The Chinese Journal of Geological Hazard and Control, 2023, 34（5）: 43 − 53. （in Chinese with English abstract）
[21]	朱吉祥,张礼中,周小元,等. 基于信息熵的灰色模型在地质灾害评价中的应用——以四川青川县为例[J]. 灾害学,2012,27(1):78 − 82. [ZHU Jixiang,ZHANG Lizhong,ZHOU Xiaoyuan,et al. Application of entropy-based grey model in geological hazard assessment:A case study of Qingchuan County,Sichuan Province[J]. Journal of Catastrophology,2012,27(1):78 − 82. (in Chinese with English abstract)] doi: 10.3969/j.issn.1000-811X.2012.01.016 ZHU Jixiang, ZHANG Lizhong, ZHOU Xiaoyuan, et al. Application of entropy-based grey model in geological hazard assessment: A case study of Qingchuan County, Sichuan Province［J］. Journal of Catastrophology, 2012, 27（1）: 78 − 82. （in Chinese with English abstract） doi: 10.3969/j.issn.1000-811X.2012.01.016
[22]	SHAHINUZZAMAN M,HAQUE M N,SHAHID S. Delineation of groundwater potential zones using a parsimonious concept based on catastrophe theory and analytical hierarchy process[J]. Hydrogeology Journal,2021,29(3):1091 − 1116. doi: 10.1007/s10040-021-02322-2
[23]	王立朝,侯圣山,董英,等. 甘肃积石山M_s6.2级地震的同震地质灾害基本特征及风险防控建议[J]. 中国地质灾害与防治学报,2024,35(3):108 − 118. [WANG Lichao,HOU Shengshan,DONG Ying,et al. Basic characteristics of co-seismic geological hazards induced by Jishishan M_s6.2 earthquake and suggestions for their risk control[J]. The Chinese Journal of Geological Hazard and Control,2024,35(3):108 − 118. (in Chinese with English abstract)] WANG Lichao, HOU Shengshan, DONG Ying, et al. Basic characteristics of co-seismic geological hazards induced by Jishishan M_s6.2 earthquake and suggestions for their risk control［J］. The Chinese Journal of Geological Hazard and Control, 2024, 35（3）: 108 − 118. （in Chinese with English abstract）
[24]	郭富赟,张永军,窦晓东,等. 甘肃积石山M_s 6.2地震次生地质灾害分布规律与发育特征[J]. 兰州大学学报(自然科学版),2024,60(1):6 − 12. [GUO Fuyun,ZHANG Yongjun,DOU Xiaodong,et al. Distribution patterns and development characteristics of secondary geological hazards caused by the M_s 6.2 earthquake in Jishishan,Gansu[J]. Journal of Lanzhou University (Natural Sciences),2024,60(1):6 − 12. (in Chinese with English abstract)] GUO Fuyun, ZHANG Yongjun, DOU Xiaodong, et al. Distribution patterns and development characteristics of secondary geological hazards caused by the M_s 6.2 earthquake in Jishishan, Gansu［J］. Journal of Lanzhou University （Natural Sciences）, 2024, 60（1）: 6 − 12. （in Chinese with English abstract）
[25]	陈博,宋闯,陈毅,等. 2023年甘肃积石山M_s6.2地震同震滑坡和建筑物损毁情况应急识别与影响因素研究[J/OL]. 武汉大学学报(信息科学版)[2024-01-09](2024-05-08). https://doi.org/10.13203/J.whugis20. [CHEN Bo,SONG Chuang,CHEN Yi,et al. Study on contingency identification and influencing factors for co-seismic landslides and building damage in the 2023 Gansu Jishishan M_s6.2 earthquake[J/OL]. Geomatics and Information Science of Wuhan University [2024-01-09](2024-05-08). https://doi.org/10.13203/J.whugis20. (in Chinese with English abstract)] CHEN Bo, SONG Chuang, CHEN Yi, et al. Study on contingency identification and influencing factors for co-seismic landslides and building damage in the 2023 Gansu Jishishan M_s6.2 earthquake［J/OL］. Geomatics and Information Science of Wuhan University [2024-01-09]（2024-05-08）. https://doi.org/10.13203/J.whugis20. （in Chinese with English abstract）
[26]	王浩,牛全福,刘博,等. 基于MaxEnt结合粒子群优化的陇南市山洪灾害空间分布预测研究[J/OL]. 武汉大学学报(信息科学版),2023. [2023-10-20](2024-05-08). http://kns.cnki.net/KCMS/detail/detail.aspx?filename=WHCH20231018002&dbname=CJFD&dbcode=CJFQ. [WANG Hao,NIU Quanfu,LIU Bo,et al. Study on spatial distribution prediction of mountain torrents in Longnan city based on MaxEnt combined with particle swarm optimization[J/OL]. China Industrial Economics,2023. [2023-10-20](2024-05-08) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=WHCH20231018002&dbname=CJFD&dbcode=CJFQ. (in Chinese with English abstract)] WANG Hao, NIU Quanfu, LIU Bo, et al. Study on spatial distribution prediction of mountain torrents in Longnan city based on MaxEnt combined with particle swarm optimization［J/OL］. China Industrial Economics, 2023. [2023-10-20]（2024-05-08） http://kns.cnki.net/KCMS/detail/detail.aspx?filename=WHCH20231018002&dbname=CJFD&dbcode=CJFQ. （in Chinese with English abstract）
[27]	牛全福,熊超,雷姣姣,等. 基于FFPI模型的甘肃陇南山区山洪灾害风险评价[J]. 自然灾害学报,2023,32(4):36 − 47. [NIU Quanfu,XIONG Chao,LEI Jiaojiao,et al. Risk assessment of flash flood disasters in Longnan mountain area of Gansu Province based on FFPI model[J]. Journal of Natural Disasters,2023,32(4):36 − 47. (in Chinese with English abstract)] NIU Quanfu, XIONG Chao, LEI Jiaojiao, et al. Risk assessment of flash flood disasters in Longnan mountain area of Gansu Province based on FFPI model［J］. Journal of Natural Disasters, 2023, 32（4）: 36 − 47. （in Chinese with English abstract）
[28]	欧阳泽怡,李志辉,欧阳硕龙,等. 基于Maxent和ArcGIS的赤皮青冈在中国的潜在适生区预测[J]. 中南林业科技大学学报,2023,43(2):19 − 26. [OUYANG Zeyi,LI Zhihui,OUYANG Shuolong,et al. Prediction of the potential distribution of Cyclobalanopsis gilva in China based on the Maxent and ArcGIS model[J]. Journal of Central South University of Forestry & Technology,2023,43(2):19 − 26. (in Chinese with English abstract)] OUYANG Zeyi, LI Zhihui, OUYANG Shuolong, et al. Prediction of the potential distribution of Cyclobalanopsis gilva in China based on the Maxent and ArcGIS model［J］. Journal of Central South University of Forestry & Technology, 2023, 43（2）: 19 − 26. （in Chinese with English abstract）
[29]	姚政宇,韩其飞,林彬. 基于最大熵模型的新疆主要有毒杂草分布区预测[J]. 生态学报,2023,43(12):5096 − 5109. [YAO Zhengyu,HAN Qifei,LIN Bin. Prediction of distribution area of main noxious and miscellaneous weeds in Xinjiang based on MaxEnt model[J]. Acta Ecologica Sinica,2023,43(12):5096 − 5109. (in Chinese with English abstract)] YAO Zhengyu, HAN Qifei, LIN Bin. Prediction of distribution area of main noxious and miscellaneous weeds in Xinjiang based on MaxEnt model［J］. Acta Ecologica Sinica, 2023, 43（12）: 5096 − 5109. （in Chinese with English abstract）
[30]	刘明明,刘丹丹,芦星,等. 基于MaxEnt模型的新疆地区钝缘蜱适生区分布研究[J]. 中国媒介生物学及控制杂志,2023,34(5):671 − 678. [LIU Mingming,LIU Dandan,LU Xing,et al. MaxEnt model-based analysis of distribution of suitable habitats of Ornithodoros ticks in Xinjiang Uygur Autonomous Region,China[J]. Chinese Journal of Vector Biology and Control,2023,34(5):671 − 678. (in Chinese with English abstract)] doi: 10.11853/j.issn.1003.8280.2023.05.015 LIU Mingming, LIU Dandan, LU Xing, et al. MaxEnt model-based analysis of distribution of suitable habitats of Ornithodoros ticks in Xinjiang Uygur Autonomous Region, China［J］. Chinese Journal of Vector Biology and Control, 2023, 34（5）: 671 − 678. （in Chinese with English abstract） doi: 10.11853/j.issn.1003.8280.2023.05.015
[31]	牛全福,冯尊斌,党星海,等. 黄土区滑坡研究中地形因子的选取与适宜性分析[J]. 地球信息科学学报,2017,19(12):1584 − 1592. [NIU Quanfu,FENG Zunbin,DANG Xinghai,et al. Suitability analysis of topographic factors in loess landslide research[J]. Journal of Geo-Information Science,2017,19(12):1584 − 1592. (in Chinese with English abstract)] NIU Quanfu, FENG Zunbin, DANG Xinghai, et al. Suitability analysis of topographic factors in loess landslide research［J］. Journal of Geo-Information Science, 2017, 19（12）: 1584 − 1592. （in Chinese with English abstract）
[32]	王晓帆,段雨萱,金露露,等. 基于优化的最大熵模型预测中国高山栎组植物的历史、现状与未来分布变化[J]. 生态学报,2023,43(16):6590 − 6604. [WANG Xiaofan,DUAN Yuxuan,JIN Lulu,et al. Prediction of historical,present and future distribution of Quercus sect. Heterobalanus based on the optimized MaxEnt model in China[J]. Acta Ecologica Sinica,2023,43(16):6590 − 6604. (in Chinese with English abstract)] WANG Xiaofan, DUAN Yuxuan, JIN Lulu, et al. Prediction of historical, present and future distribution of Quercus sect. Heterobalanus based on the optimized MaxEnt model in China［J］. Acta Ecologica Sinica, 2023, 43（16）: 6590 − 6604. （in Chinese with English abstract）
[33]	何学高,刘欢,张婧,等. 基于优化的MaxEnt模型预测青海省祁连圆柏潜在分布区[J]. 北京林业大学学报,2023,45(12):19 − 31. [HE Xuegao,LIU Huan,ZHANG Jing,et al. Predicting potential suitable distribution areas for Juniperus przewalskii in Qinghai Province of northwestern China based on the optimized MaxEnt model[J]. Journal of Beijing Forestry University,2023,45(12):19 − 31. (in Chinese with English abstract)] HE Xuegao, LIU Huan, ZHANG Jing, et al. Predicting potential suitable distribution areas for Juniperus przewalskii in Qinghai Province of northwestern China based on the optimized MaxEnt model［J］. Journal of Beijing Forestry University, 2023, 45（12）: 19 − 31. （in Chinese with English abstract）
[34]	刘怡彤,郭慧,裴顺祥,等. 基于MaxEnt模型的天然元宝枫在我国的适生区区划及合理性分析[J]. 林业科学,2023,59(12):13 − 24. [LIU Yitong,GUO Hui,PEI Shunxiang,et al. Regionalization and rationality analysis of natural acer truncatum in China based on MaxEnt model[J]. Scientia Silvae Sinicae,2023,59(12):13 − 24. (in Chinese with English abstract)] doi: 10.11707/j.1001-7488.LYKX20210823 LIU Yitong, GUO Hui, PEI Shunxiang, et al. Regionalization and rationality analysis of natural acer truncatum in China based on MaxEnt model［J］. Scientia Silvae Sinicae, 2023, 59（12）: 13 − 24. （in Chinese with English abstract） doi: 10.11707/j.1001-7488.LYKX20210823
[35]	周安晟,成彦丽,陈鸿,等. 基于MaxEnt模型预测含笑在中国的潜在适生区[J]. 安徽科技学院学报,2023,37(6):19 − 27. [ZHOU Ansheng,CHENG Yanli,CHEN Hong,et al. Prediction of potential suitable areas of Michelia figo in China based on MaxEnt model[J]. Journal of Anhui Science and Technology University,2023,37(6):19 − 27. (in Chinese with English abstract)] ZHOU Ansheng, CHENG Yanli, CHEN Hong, et al. Prediction of potential suitable areas of Michelia figo in China based on MaxEnt model［J］. Journal of Anhui Science and Technology University, 2023, 37（6）: 19 − 27. （in Chinese with English abstract）
[36]	黄煜,谢婉丽,刘琦琦,等. 基于GIS与MaxEnt模型的滑坡易发性评价——以铜川市中部城区为例[J]. 西北地质,2023,56(1):266 − 275. [HUANG Yu,XIE Wanli,LIU Qiqi,et al. Landslide susceptibility assessment based on GIS and MaxEnt model:Example from central districts in Tongchuan City[J]. Northwestern Geology,2023,56(1):266 − 275. (in Chinese with English abstract)] HUANG Yu, XIE Wanli, LIU Qiqi, et al. Landslide susceptibility assessment based on GIS and MaxEnt model: Example from central districts in Tongchuan City［J］. Northwestern Geology, 2023, 56（1）: 266 − 275. （in Chinese with English abstract）
[37]	王兰民,许世阳,王平,等. 2023年积石山6.2级地震诱发大规模黄土液化流滑的特征与启示[J]. 岩土工程学报,2024,46(2):235 − 243. [WANG Lanmin,XU Shiyang,WANG Ping,et al. Characteristics and lessons of liquefaction-triggered large-scale flow slide in loess deposit during Jishishan M6.2 earthquake in 2023[J]. Chinese Journal of Geotechnical Engineering,2024,46(2):235 − 243. (in Chinese with English abstract)] WANG Lanmin, XU Shiyang, WANG Ping, et al. Characteristics and lessons of liquefaction-triggered large-scale flow slide in loess deposit during Jishishan M6.2 earthquake in 2023［J］. Chinese Journal of Geotechnical Engineering, 2024, 46（2）: 235 − 243. （in Chinese with English abstract）
[38]	NIU Quanfu,DANG Xinghai,LI Yuefeng,et al. Suitability analysis for topographic factors in loess landslide research:A case study of Gangu County,China[J]. Environmental Earth Sciences,2018,77(7):294. doi: 10.1007/s12665-018-7462-y

施引文献

资源附件(0)

访问统计

图(11)

表(5)

计量

文章访问数: 104
PDF下载数: 12
施引文献: 0

甘肃积石山Ms6.2级地震区滑坡危险性评价与区划

1. 甘肃省地图院，甘肃 兰州 730000 2. 兰州理工大学土木工程学院，甘肃 兰州 730050 3. 甘肃省测绘工程院，甘肃 兰州 730000 4. 甘肃省地质矿产勘查开发局第三地质矿产勘查院，甘肃 兰州 730050

作者简介: 王秀琴（1974—），甘肃甘谷人，地图学与地理信息系统专业，硕士，研究方向为灾害遥感。E-mail：330398304@qq.com

通讯作者: 牛全福（1973—），甘肃甘谷人，地图学与地理信息系统专业，博士，教授，研究方向为环境遥感。E-mail：Niuqf@lut.edu.cn

Risk assessment of landslides induced by the Ms6.2 earthquake in Jishishan, Gansu Province

Corresponding author: NIU Quanfu, Niuqf@lut.edu.cn

计量

出版历程

目录

甘肃积石山M_s6.2级地震区滑坡危险性评价与区划

1.
甘肃省地图院，甘肃兰州　730000

2.
兰州理工大学土木工程学院，甘肃兰州　730050

3.
甘肃省测绘工程院，甘肃兰州　730000

4.
甘肃省地质矿产勘查开发局第三地质矿产勘查院，甘肃兰州　730050

Risk assessment of landslides induced by the M_s6.2 earthquake in Jishishan, Gansu Province