Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
-
摘要: 为研究康定市泥石流易发性，将康定市划分为421个沟域单元，采用ArcGIS软件中空间分析工具以及SPSS软件分别对评价指标内部叠加情况、评价指标与泥石流灾害相关性进行了分析，通过筛除剔除重叠度高、相关性差的评价因子，选取流域面积、melton比率、形状系数比、流域崩滑密度、流域植被覆盖率、流域道路密度、流域平均径流侵蚀力指数、多年汛期平均降雨量等8个评价指标进行康定市泥石流地质灾害易发性评价。采用信息量模型与熵值法相结合的方法定量评价了泥石流易发性，熵值法定量确定了评价指标权重，计算出评价因子加权信息量值，将康定市泥石流划分为极高易发区、高易发区、中易发区以及低易发区4个等级。通过频率比模型、受试者工作特征曲线（ROC曲线）对泥石流易发性评价结果进行检验，ROC曲线AUC值为0.842，表明评价模型精度较高。Abstract: To study the susceptibility of debris flow in Kangding City, the study area was divided into 421 watershed units. Spatial analysis tools in ArcGIS software and SPSS software were used to analyze the internal superposition of evaluation indicators and the correlation between evaluation indicators and debris flows disasters. By screening out the evaluation factors with a high degree of overlap and poor correlation, eight evaluation factors were selected for debris flow susceptibility assessment. These included watershed unit area, melton rate, form factor ratio, collapse and landslides density of catchment, average fractional vegetation cover of catchment, road density of catchment, average stream power index of catchment, and average rainfall during the multi-year flood season. The susceptibility of debris flow was quantitatively evaluated by combining the information value model and the entropy method. The weights of the evaluation indicators were quantitatively determined by the entropy method, and the evaluation factor weighted information quantity value was calculated. Based on this, the debris flow susceptibility in Kangding City was divided into four grades: extremely high, high, medium and low. The results of debris flow susceptibility assessment were tested using the frequency ratio model and the Receiver-Operating Characteristic (ROC) curve, with an AUC curve of 0.842, indicating high accuracy of the evaluation model.
-
Keywords:
- debris flow /
- susceptibility assessment /
- Kangding City /
- watershed unit /
- information value
-
-
![]()
图 4 评价因子与泥石流关系统计图
Figure 4. Statistical diagram of the relationship between evaluation factors and debris flow
![]()
图 5 沟域单元评价因子分级图
Figure 5. Classification diagram of evaluation factors of watershed units
![]()
图 6 康定市泥石流易发性评价图
Figure 6. Susceptibility evaluation map of the debris flow in Kangding City
![]()
图 7 泥石流易发性评价模型ROC曲线
Figure 7. ROC curve of the debris flow susceptibility assessment model
表 1 数据来源和数据类型
Table 1 Sources and types of data
基础数据 数据来源 数据格式 DEM 县域1∶5万DLG 栅格 交通、水系 县域1∶5万DLG 矢量 地层、构造 县域1∶5万区域地质图 矢量 降雨 康定市气象局 矢量 地震加速度 地震数据来自中国地震信息网（ http://www.csi.ac.cn/publish/main/837/1077/index.html）的1∶400万中国地震动峰值加速度区划图 矢量 Landsat8 数据 来源美国地质调查局（ landsatlook.usgs.gov） ，计算植被覆盖度 多波段栅
格数据历史泥石流灾害点 《康定市地质灾害风险调查评价报告》 矢量 
下载: 导出CSV
表 2 评价指标内部相关性系数
Table 2 Internal correlation coefficients of evaluation factors
指标 A B C D E F G H I J K L M N O A 1 B −0.13 1 C 0.22 0.72 1 D −0.62 0.56 0.31 1 E −0.60 0.65 0.42 0.88 1 F −0.25 −0.03 −0.14 0.48 0.05 1 G −0.09 −0.13 −0.20 −0.13 0.01 −0.24 1 H 0.00 −0.40 −0.51 −0.23 −0.31 0.08 0.05 1 I −0.08 0.03 0.06 0.06 0.08 −0.02 0.21 −0.18 1 J −0.26 0.32 0.31 0.35 0.16 −0.09 0.27 −0.31 0.32 1 K −0.08 0.40 0.24 0.19 0.24 −0.06 0.26 −0.25 0.21 0.25 1 L −0.02 −0.15 −0.15 −0.07 −0.05 −0.04 0.26 0.01 0.10 0.25 0.21 1 M −0.12 −0.06 0.11 0.17 0.16 0.06 0.01 −0.33 −0.05 0.13 0.07 0.06 1 N 0.15 −0.16 0.16 −0.52 −0.49 −0.23 −0.01 −0.10 0.01 −0.12 −0.01 0.04 −0.01 1 O 0.02 −0.33 −0.16 −0.12 −0.12 −0.03 0.26 −0.19 −0.03 −0.01 0.00 0.18 0.20 0.05 1 注：表中A为流域面积；B为流域平均坡度；C为流域地形起伏度；D为沟道纵坡降；E为melton比率；F为形状系数比；G为流域沟壑密度；H为工程地质岩组；I为流域断层密度；J为流域崩滑密度；K为NDVI；L为流域道路密度；M为PGA；N为SPI；O为多年汛期平均降雨量。
下载: 导出CSV
表 3 评价指标与泥石流相关性
Table 3 The correlation between evaluation factors and debris flow
自变量 因变量Y spearman相关系数 显著性 X1 −0.247** 0.000 X2 0.221** 0.000 X3 −0.166** 0.001 X4 0.038 0.438 X5 −0.026 0.596 X6 0.009 0.858 X7 0.396** 0.000 X8 0.180** 0.000 X9 0.378** 0.000 X10 0.031 0.520 X11 −0.187** 0.000 X12 0.165** 0.001 注：表中Y为泥石流是否发生，X1为流域面积，X2为melton比率，X3为形状系数比，X4为流域沟壑密度，X5为工程地质岩组，X6为流域断层密度，X7为流域崩滑密度，X8为流域植被覆盖率（NDVI），X9为流域道路密度，X10为地震动峰值加速度（PGA），X11为流域平均径流侵蚀力指数（SPI），X12为多年汛期平均降雨量。**，在置信度（双侧）为0.01时，相关性是显著的。*，在置信度（双侧）为0.05时，相关性是显著的。
下载: 导出CSV
表 4 评价指标权重及加权信息量值
Table 4 Evaluation factors weights and its weighted information value
因子分类 一级评价因子 序号 二级评价因子 泥石流
数量/个沟域单元
个数/个泥石流密度/
（个·km−2）信息量值 权重 加权信息量值 地形条件 流域面积/km2 1 <0.2 5 7 477.55 1.1418 0.1120 0.1279 2 0.2～5 50 134 14.65 0.4925 0.0552 3 5～10 9 84 1.5 −0.7553 −0.0846 4 10～50 31 171 0.79 −0.2294 −0.0257 5 >50 1 25 0.06 −1.7406 −0.1949 melton比率 1 <0.3 7 57 0.32 −0.6189 0.0780 −0.0483 2 0.3～0.5 17 98 0.7 −0.2735 −0.0213 3 0.5～0.7 17 106 1.33 −0.3519 −0.0275 4 0.7～1 26 104 4.2 0.0920 0.0072 5 >1 29 56 27.28 0.8202 0.0640 形状系数比 1 <0.25 19 90 1.44 −0.0771 0.0880 −0.0068 2 0.25～0.4 29 163 1 −0.2482 −0.0218 3 0.4～0.7 30 135 1.45 −0.0258 −0.0023 4 0.7～1.2 13 25 5.53 0.8244 0.0725 5 >1.2 5 8 8.09 1.0083 0.0887 物源条件 流域崩滑密度/（处·km−2） 1 0～0.02 13 157 0.4 −1.0130 0.1820 −0.1844 2 0.02～0.05 17 107 1.02 −0.3613 −0.0658 3 0.05～0.08 15 57 2 0.1433 0.0261 4 0.08～0.11 17 36 3.6 0.7280 0.1325 5 >0.11 34 64 7.11 0.8458 0.1539 NDVI 1 0～0.15 16 131 0.91 −0.6243 0.0970 −0.0606 2 0.15～0.25 19 87 1.09 −0.0432 −0.0042 3 0.25～0.35 22 71 1.56 0.3066 0.0297 4 0.35～0.5 22 62 2.18 0.4422 0.0429 5 >0.5 17 70 2.55 0.0630 0.0061 流域道路密度/（km·km−2） 1 0～0.16 32 253 0.82 −0.5894 0.2120 −0.1249 2 0.16～0.52 19 76 1.21 0.0920 0.0195 3 0.52～1.05 23 57 2.86 0.5707 0.1210 4 1.05～1.8 5 13 3.44 0.5228 0.1108 5 >1.8 17 22 10.62 1.2205 0.2587 SPI 1 <2.25 29 144 5.1 −0.1242 0.0690 −0.0086 2 2.25～2.75 17 118 1.07 −0.4592 −0.0317 3 2.75～3.2 20 81 1.13 0.0796 0.0055 4 3.2～3.7 14 37 1.46 0.5064 0.0349 5 >3.7 16 41 0.94 0.5373 0.0371 水源条件 多年汛期平均降雨量/mm 1 <470 11 69 1.11 −0.3579 0.1620 −0.0580 2 470～520 25 145 1.04 −0.2796 −0.0453 3 520～580 26 112 1.54 0.0179 0.0029 4 580～660 16 48 1.94 0.3797 0.0615 5 >660 18 47 2.63 0.5185 0.0840
下载: 导出CSV
表 5 泥石流易发性评价结果统计表
Table 5 Statistical table of debris flow susceptibility evaluation results
易发性等级 面积/km2 面积
百分比/%泥石流点
数量/个泥石流
百分比/%频率比 极高易发区 528.85 4.56 49 51.04 11.19 高易发区 1597.19 13.78 31 32.29 2.34 中易发区 1988.87 17.16 12 12.50 0.73 低易发区 7476.75 64.50 4 4.17 0.06
下载: 导出CSV
-
[1] 陈宁生,高延超,李东风,等. 丹巴县邛山沟特大灾害性泥石流汇流过程分析[J]. 自然灾害学报,2004,13(3):104 − 108. [CHEN Ningsheng,GAO Yanchao,LI Dongfeng,et al. Conflux process analysis of desastrous debris flow in Qiongshan Ravine,Danba,Sichuan Province[J]. Journal of Natural Disasters,2004,13(3):104 − 108. (in Chinese with English abstract) CHEN Ningsheng, GAO Yanchao, LI Dongfeng, et al. Conflux process analysis of desastrous debris flow in Qiongshan Ravine, Danba, Sichuan Province[J]. Journal of Natural Disasters, 2004, 13（3）: 104-108. （in Chinese with English abstract）
[2] 文强,胡卸文,刘波,等. 四川丹巴梅龙沟 “6·17” 泥石流成灾机理分析[J]. 中国地质灾害与防治学报,2022,33(3):23 − 30. [WEN Qiang,HU Xiewen,LIU Bo,et al. Analysis on the mechanism of debris flow in Meilong valley in Danba County on June 17,2020[J]. The Chinese Journal of Geological Hazard and Control,2022,33(3):23 − 30. (in Chinese with English abstract) WEN Qiang, HU Xiewen, LIU Bo, et al. Analysis on the mechanism of debris flow in Meilong valley in Danba County on June 17, 2020[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33（3）: 23-30. （in Chinese with English abstract）
[3] 陈永萍,周强,陈琼,等. 高山、极高山地区地质灾害易发性评价—以昌都市为例[J]. 高原科学研究,2021(4):35 − 43. [CHEN Yongping,ZHOU Qiang,CHEN Qiong,et al. Evaluation on the susceptibility of geological hazards in the high mountain and extreme high mountain areas:A case study in the Qamdo[J]. Plateau Science Research,2021(4):35 − 43. (in Chinese with English abstract) CHEN Yongping, ZHOU Qiang, CHEN Qiong, et al. Evaluation on the susceptibility of geological hazards in the high mountain and extreme high mountain areas—a case study in the Qamdo[J]. Plateau Science Research, 2021（4）: 35-43. （in Chinese with English abstract）
[4] 周粤,王运生,赵逊,等. 怒江支流迪麻洛河流域泥石流易发性评价[J]. 地质通报,2022,41(4):702 − 712. [ZHOU Yue,WANG Yunsheng,ZHAO Xun,et al. Susceptibility assessment of debris flow in Dimaluo River, branch of Nujiang River[J]. Geological Bulletin of China,2022,41(4):702 − 712. (in Chinese with English abstract) [ZHOU Yue, WANG Yunsheng, ZHAO Xun, et al. Susceptibility assessment of debris flow in Dimaluo River, branch of Nujiang River[J]. Geological Bulletin of China, 2022, 41(4): 702-712. （in Chinese with English abstract）
[5] 张以晨,秦胜伍,翟健健,等. 基于信息量的长白山地区泥石流易发性评价[J]. 水文地质工程地质,2018,45(2):150 − 158. [ZHANG Yichen,QIN Shengwu,ZHAI Jianjian,et al. Susceptibility assessment of debris flow based on GIS and weight information for the Changbai mountain area[J]. Hydrogeology and Engineering Geology,2018,45(2):150 − 158. (in Chinese with English abstract) ZHANG Yichen, QIN Shengwu, ZHAI Jianjian, et al. Susceptibility assessment of debris flow based on GIS and weight information for the Changbai Mountain area[J]. Hydrogeology and Engineering Geology, 2018, 45（2）150-158（in Chinese with English abstract）
[6] 刘林通,孟兴民,郭鹏,等. 基于流域单元和信息量法的白龙江流域泥石流危险性评价[J]. 兰州大学学报(自然科学版),2017,53(3):292 − 298. [LIU Lintong,MENG Xingmin,GUO Peng,et al. Assessment of debris flow hazards in the Bailongjiang River based on the watershed unit and information value method[J]. Journal of Lanzhou University (Natural Sciences),2017,53(3):292 − 298. (in Chinese with English abstract) Liu Lintong, Meng Xingmin, Guo Peng, et al. Assessment of debris flow hazards in the Bailongjiang River based on the watershed unit and information value method[J]. Journal of Lanzhou University （Natural Sciences）, 2017, 53（3）: 292-298. （in Chinese with English abstract）
[7] 易靖松,王峰,程英建,等. 高山峡谷区地质灾害危险性评价—以四川省阿坝县为例[J]. 中国地质灾害与防治学报,2022,33(3):134 − 142. [YI Jingsong,WANG Feng,CHENG Yingjian,et al. Study on the risk assessment of geological disasters in alpine valley area:A case study in Aba County,Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control,2022,33(3):134 − 142. (in Chinese with English abstract) YI Jingsong, WANG Feng, CHENG Yingjian, et al. Study on the risk assessment of geological disasters in alpine valley area: a case study in Aba County, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33（3）: 134-142. （in Chinese with English abstract）
[8] 吴赛儿,陈剑,ZHOU Wendy,等. 基于逻辑回归模型的泥石流易发性评价与检验—以金沙江上游奔子栏—昌波河段为例[J]. 现代地质,2018,32(3):611 − 622. [WU Saier,CHEN Jian,ZHOU Wendy,et al. Debris-flow susceptibility assessment and validation based on logistic regression model:An example from the benzilan-changbo segment of the upper Jinshajiang River[J]. Geoscience,2018,32(3):611 − 622. (in Chinese with English abstract) WU Saier, CHEN Jian, WENDY Z, et al. Debris-flow susceptibility assessment and validation based on logistic regression model: an example from the benzilan-changbo segment of the upper Jinshajiang River[J]. Geoscience, 2018, 32（3）: 611-622. （in Chinese with English abstract）
[9] 杜国梁,杨志华,袁颖,等. 基于逻辑回归-信息量的川藏交通廊道滑坡易发性评价[J]. 水文地质工程地质,2021,48(5):102 − 111. [DU Guoliang,YANG Zhihua,YUAN Ying,et al. Landslide susceptibility mapping in the Sichuan-Tibet traffic corridor using logistic regression-information value method[J]. Hydrogeology and Engineering Geology,2021,48(5):102 − 111. (in Chinese with English abstract) [DU Guoliang, YANG Zhihua, YUAN Ying, et al. Landslide susceptibility mapping in the Sichuan-Tibet traffic corridor using logistic regression-information value method[J]. Hydrogeology & Engineering Geology, 2021, 48(5): 102-111.（in Chinese with English abstract）
[10] 李益敏,李驭豪,赵志芳. 基于确定性系数模型的泸水市泥石流易发性评价[J]. 水土保持研究,2019,26(4):336 − 342. [LI Yimin,LI Yuhao,ZHAO Zhifang. Assessment on susceptibility of debris flow in Lushui based on the certain factor model[J]. Research of Soil and Water Conservation,2019,26(4):336 − 342. (in Chinese with English abstract) LI Yimin, LI Yuhao, ZHAO Zhifang. Assessment on susceptibility of debris flow in Lushui based on the certain factor model[J]. Research of Soil and Water Conservation, 2019, 26（4）: 336-342. （in Chinese with English abstract）
[11] 李益敏,杨蕾,魏苏杭. 基于小流域单元的怒江州泥石流易发性评价[J]. 长江流域资源与环境,2019,28(10):2419 − 2428. [LI Yimin,YANG Lei,WEI Suhang. Susceptibility assessment of debris flow in Nujiang befecture based on the catchment[J]. Resources and Environment in the Yangtze Basin,2019,28(10):2419 − 2428. (in Chinese with English abstract) LI Yimin, YANG Lei, WEI Suhang. Susceptibility assessment of debris flow in Nujiang befecture based on the catchment[J]. Resources and Environment in the Yangtze Basin, 2019, 28（10）: 2419-2428. （in Chinese with English abstract）
[12] 王鑫,赵康,蒋叶林,等. 基于BP神经网络的怒江流域泥石流易发性动态区划模型研究[J]. 化工矿物与加工,2022,51(1):39 − 43. [WANG Xin,ZHAO Kang,JIANG Yelin,et al. Study on dynamic zoning model of mud-rock flow susceptibility in Nujiang Basin based on BP neural network[J]. Industrial Minerals & Processing,2022,51(1):39 − 43. (in Chinese with English abstract) WANG Xin, ZHAO Kang, JIANG Yelin, et al. Study on dynamic zoning model of mud-rock flow susceptibility in Nujiang Basin based on BP neural network[J]. Industrial Minerals & Processing, 2022, 51（1）39-43（in Chinese with English abstract）
[13] 田宇鹏,李玉荣,范辉. 模糊数学和权的最小平方法在西藏波密县白龙沟泥石流易发性评价中的应用[J]. 地质找矿论丛,2021,36(4):546 − 552. [TIAN Yupeng,LI Yurong,FAN Hui. Application of fuzzy math and weighted least-square to debris flow susceptibility evaluation in Bailong Gully of Bomi County of Tibet[J]. Contributions to Geology and Mineral Resources Research,2021,36(4):546 − 552. (in Chinese with English abstract) TIAN Yupeng, LI Yurong, FAN Hui. Application of fuzzy math and weighted least-square to debris flow susceptibility evaluation in Bailong Gully of Bomi County of Tibet[J]. Contributions to Geology and Mineral Resources Research, 2021, 36（4）: 546-552. （in Chinese with English abstract）
[14] ZHANG Yonghong,GE Taotao,TIAN Wei,et al. Debris flow susceptibility mapping using machine-learning techniques in Shigatse area,China[J]. Remote Sensing,2019,11(23):2801. DOI: 10.3390/rs11232801
[15] XIONG Ke,ADHIKARI B R,STAMATOPOULOS C A,et al. Comparison of different machine learning methods for debris flow susceptibility mapping:A case study in the Sichuan Province,China[J]. Remote Sensing,2020,12(2):295. DOI: 10.3390/rs12020295
[16] 李坤,赵俊三,林伊琳,等. 基于RF和SVM模型的东川泥石流易发性评价研究[J]. 云南大学学报(自然科学版),2022,44(1):107 − 115. [LI Kun,ZHAO Junsan,LIN Yilin,et al. Assessment of debris flow susceptibility in Dongchuan based on RF and SVM models[J]. Journal of Yunnan University (Natural Sciences Edition),2022,44(1):107 − 115. (in Chinese with English abstract) LI Kun, ZHAO Junsan, LIN Yilin, et al. Assessment of debris flow susceptibility in Dongchuan based on RF and SVM models[J]. Journal of Yunnan University （Natural Sciences Edition）, 2022, 44（1）: 107-115. （in Chinese with English abstract）
[17] 徐艳琴,白淑英,徐永明. 基于两种方法的攀西泥石流易发性评价对比分析[J]. 水土保持研究,2018,25(3):285 − 291. [XU Yanqin,BAI Shuying,XU Yongming. Comparative analysis of debris flow susceptibility assessment based on two methods in Panxi District[J]. Research of Soil and Water Conservation,2018,25(3):285 − 291. (in Chinese with English abstract) XU Yanqin, BAI Shuying, XU Yongming. Comparative analysis of debris flow susceptibility assessment based on two methods in panxi district[J]. Research of Soil and Water Conservation, 2018, 25（3）: 285-291. （in Chinese with English abstract）
[18] 于淼,邢会歌,胡士瑜. 基于信息量-逻辑回归模型的泥石流易发性评价 —以四川省石棉县为例[J]. 人民长江,2021,52(12):107 − 114. [YU Miao,XING Huige,HU Shiyu. Debris flow susceptibility assessment based on information value and logistic regression coupled model:Case of Shimian County,Sichuan Province[J]. Yangtze River,2021,52(12):107 − 114. (in Chinese with English abstract) YU Miao, XING Huige, HU Shiyu. Debris flow susceptibility assessment based on information value and logistic regression coupled model: case of Shimian County, Sichuan Province[J]. Yangtze River, 2021, 52（12）107-114（in Chinese with English abstract）
[19] 陈怡,范宣梅. 震后地质灾害易发性评价—以映秀震区为例[J]. 科学技术与工程,2020,20(9):3516 − 3527. [CHEN Yi,FAN Xuanmei. Susceptibility assessment of post-earthquake geo-hazard in the epicentral area of the 2008 Wenchuan eearthquake near Yingxiu Town[J]. Science Technology and Engineering,2020,20(9):3516 − 3527. (in Chinese with English abstract) CHEN Yi, FAN Xuanmei. Susceptibility assessment of post-earthquake geo-hazard in the epicentral area of the 2008 Wenchuan eearthquake near yingxiu town[J]. Science Technology and Engineering, 2020, 20（9）3516-3527（in Chinese with English abstract）
[20] 魏伦武,王德伟,丁俊,等. 四川康定城地质灾害危险性分区评价[J]. 沉积与特提斯地质,2006,26(2):81 − 87. [WEI Lunwu,WANG Dewei,DING Jun,et al. Risk assessment of geological hazards in Kangding County town,western Sichuan[J]. Sedimentary Geology and Tethyan Geology,2006,26(2):81 − 87. (in Chinese with English abstract) Wei Lunwu, Wang Dewei, Ding Jun, et al. Risk assessment of geological hazards in Kangding County town, western Sichuan[J]. Sedimentary Geology and Tethyan Geology, 2006, 26（2）: 81-87. （in Chinese with English abstract）
[21] 郑万模,巴仁基,刘宇杰,等. 四川康定城市地震地质及地质灾害风险评价[J]. 沉积与特提斯地质,2012,32(3):75 − 78. [ZHENG Wanmo,BA Renji,LIU Yujie,et al. Risk evaluation of urban seismogeology and geological hazards in Kangding,western Sichuan[J]. Sedimentary Geology and Tethyan Geology,2012,32(3):75 − 78. (in Chinese with English abstract) ZHENG Wanmo, BA Renji, LIU Yujie, et al. Risk evaluation of urban seismogeology and geological hazards in Kangding, western Sichuan[J]. Sedimentary Geology and Tethyan Geology, 2012, 32（3）75-78（in Chinese with English abstract）
[22] 赵东亮,兰措卓玛,侯光良,等. 青海省河湟谷地地质灾害易发性评价[J]. 地质力学学报,2021,27(1):83 − 95. [ZHAO Dongliang,LAN C,HOU Guangliang,et al. Assessment of geological disaster susceptibility in the Hehuang Valley of Qinghai Province[J]. Journal of Geomechanics,2021,27(1):83 − 95. (in Chinese with English abstract) ZHAO Dongliang, LAN C, HOU Guangliang, et al. Assessment of geological disaster susceptibility in the Hehuang Valley of Qinghai Province[J]. Journal of Geomechanics, 2021, 27（1）: 83-95. （in Chinese with English abstract）
[23] 王家柱,高延超,铁永波,等. 基于斜坡单元的山区城镇滑坡灾害易发性评价—以康定为例[J]. 沉积与特提斯地质,2021,03001:1 − 17. [WANG Jiazhu,GAO Yanchao,TIE Yongbo,et al. Evaluation of the susceptibility to landslide in mountainous towns based on slope unit:Taking Kangding as an example[J]. Sedimentary Geology and Tethyan Geology,2021,03001:1 − 17. (in Chinese with English abstract) WANG Jiazhu, GAO Yanchao, TIE Yongbo, et al. Evaluation of the susceptibility to landslide in mountainous towns based on slope unit: taking Kangding as an example[J]. Sedimentary Geology and Tethyan Geology, 2021, 03001: 1-17. （in Chinese with English abstract）
-
期刊类型引用(7)
1. 蔡小东. 暴雨条件下赣南山区高速公路高边坡稳定性研究. 价值工程. 2025(04): 139-141 . 
百度学术
2. 赖波，江金进，江山，江宁，赵风顺. 珠海市南水镇金龙边坡变形破坏特征及稳定性评价. 城市地质. 2024(01): 20-28 . 百度学术
3. 王玉刚，袁伟. 基于遗传算法的地下暗挖工程边坡稳定性分析. 大众标准化. 2023(15): 103-105 . 百度学术
4. 林逸晖，李广涛，杨天雨，乔登攀，王俊，张希，赵怀军. 基于PCA-RF的边坡稳定性预测. 化工矿物与加工. 2023(12): 59-65 . 百度学术
5. 王猛，何德伟，贾志宏，胡至华. 基于多源遥感数据的高位滑坡特征分析——以广元市利州区荣山镇岩窝村滑坡为例. 中国地质灾害与防治学报. 2023(06): 57-68 . 本站查看
6. 刘顺青，蔡宇宸，程涛，周萍，王旭畅. 降雨入渗条件下下蜀土边坡稳定性分析. 地质灾害与环境保护. 2022(02): 32-37 . 百度学术
7. 郭世兴. 关于崩滑地质灾害抢险治理工程的斜坡稳定性分析. 世界有色金属. 2021(21): 203-204 . 百度学术
其他类型引用(1)
计量
- 文章访问数: 1066
- HTML全文浏览量: 328
- PDF下载量: 160
- 被引次数: 8
邮件订阅
RSS