| Citation: |
GONG Xueqiang，XI Chuanjie，HU Xiewen，et al. Landslide susceptibility assessment and zonation using negative sampling strategy: A case study of Bazhong area, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control，2025，36(1): 146-155. DOI: 10.16031/j.cnki.issn.1003-8035.202309028
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Landslide susceptibility assessment is a crucial component of landslide risk management, effectively guiding disaster prevention and mitigation efforts. However, the accuracy of landslide susceptibility assessments is constrained by various factors, and current research on optimizing negative sample sampling strategies based on slope units remains relatively limited. This study, focuses on Bazhong City as the research area, incorporates eleven conditioning factors including elevation, relief, and annual average rainfall to develop a geographically weighted regression - random forest (GWR-RF) coupling model. This model optimize the negative sampling strategy by comparing it against traditional random sampling across the entire area. The results indicate the following: (1) Random sampling from the entire area leads to significant disparities in susceptibility assessments, accompanied by a relatively diminished accuracy, rendering it unsuitable for slope unit-based assessments. (2) The coupled GWR-RF model demonstrates spatial variations in landslide susceptibility, predominantly distributing in the Enyang, Bazhou, Pingchang Counties, and the central - southern region of Nanjiang County. The proposed GWR-RF coupled model improves the accuracy of landslide susceptibility assessments by optimizing the negative sample sampling strategy, providing a scientific basis for landslide disaster prevention and mitigation in the Bazhong region.
| [1] |
牛朝阳,高欧阳,刘伟,等. 光学遥感图像滑坡检测研究进展[J]. 航天返回与遥感,2023,44(3):133 − 144. [NIU Chaoyang,GAO Ouyang,LIU Wei,et al. Research progress of landslide detection in optical remote sensing images[J]. Spacecraft Recovery & Remote Sensing,2023,44(3):133 − 144. (in Chinese with English abstract)] DOI: 10.3969/j.issn.1009-8518.2023.03.014
NIU Chaoyang, GAO Ouyang, LIU Wei, et al. Research progress of landslide detection in optical remote sensing images［J］. Spacecraft Recovery & Remote Sensing, 2023, 44（3）: 133 − 144. （in Chinese with English abstract） DOI: 10.3969/j.issn.1009-8518.2023.03.014
|
| [2] |
YALCIN A,REIS S,AYDINOGLU A C,et al. A GIS-based comparative study of frequency ratio,analytical hierarchy process,bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon,NE Turkey[J]. Catena,2011,85(3):274 − 287. DOI: 10.1016/j.catena.2011.01.014
|
| [3] |
MERGHADI A,YUNUS A P,DOU Jie,et al. Machine learning methods for landslide susceptibility studies:A comparative overview of algorithm performance[J]. Earth-Science Reviews,2020,207:103225. DOI: 10.1016/j.earscirev.2020.103225
|
| [4] |
郭飞,赖鹏,黄发明,等. 基于知识图谱的滑坡易发性评价文献综述及研究进展[J]. 地球科学,2024,49(5):1584 − 1606. [GUO Fei,LAI Peng,HUANG Faming,et al. Literature review and research progress of landslide susceptibility mapping based on knowledge graph[J]. Earth Science,2024,49(5):1584 − 1606. (in Chinese with English abstract)]
GUO Fei, LAI Peng, HUANG Faming, et al. Literature review and research progress of landslide susceptibility mapping based on knowledge graph［J］. Earth Science, 2024, 49（5）: 1584 − 1606. （in Chinese with English abstract）
|
| [5] |
陈航, 刘惠军, 王韬, 等. 基于频率比-深度神经网络耦合模型的滑坡易发性评价——以盐源县为例[J]. 水文地质工程地质,2024,51(5):161 − 171. [CHEN Hang, LIU Huijun, WANG Tao, et al. Landslide susceptibility evaluation based on FR-DNN coupling model: A case study on Yanyuan County[J]. Hydrogeology & Engineering Geology,2024,51(5):161 − 171. (in Chinese with English abstract)]
CHEN Hang, LIU Huijun, WANG Tao, et al. Landslide susceptibility evaluation based on FR-DNN coupling model: A case study on Yanyuan County［J］. Hydrogeology & Engineering Geology, 2024, 51（5）: 161 − 171. （in Chinese with English abstract）
|
| [6] |
吕蓓茹,彭玲,李樵民. 顾及样本敏感性的滑坡易发性评价[J]. 测绘通报,2022(11):20 − 25. [LYU Beiru,PENG Ling,LI Qiaomin. Landslide susceptibility evaluation considering sample sensitivity[J]. Bulletin of Surveying and Mapping,2022(11):20 − 25. (in Chinese with English abstract)]
LYU Beiru, PENG Ling, LI Qiaomin. Landslide susceptibility evaluation considering sample sensitivity［J］. Bulletin of Surveying and Mapping, 2022（11）: 20 − 25. （in Chinese with English abstract）
|
| [7] |
黄发明,陈佳武,唐志鹏,等. 不同空间分辨率和训练测试集比例下的滑坡易发性预测不确定性[J]. 岩石力学与工程学报,2021,40(6):1155 − 1169. [HUANG Faming,CHEN Jiawu,TANG Zhipeng,et al. Uncertainties of landslide susceptibility prediction due to different spatial resolutions and different proportions of training and testing datasets[J]. Chinese Journal of Rock Mechanics and Engineering,2021,40(6):1155 − 1169. (in Chinese with English abstract)]
HUANG Faming, CHEN Jiawu, TANG Zhipeng, et al. Uncertainties of landslide susceptibility prediction due to different spatial resolutions and different proportions of training and testing datasets［J］. Chinese Journal of Rock Mechanics and Engineering, 2021, 40（6）: 1155 − 1169. （in Chinese with English abstract）
|
| [8] |
刘纪平,梁恩婕,徐胜华,等. 顾及样本优化选择的多核支持向量机滑坡灾害易发性分析评价[J]. 测绘学报,2022,51(10):2034 − 2045. [LIU Jiping,LIANG Enjie,XU Shenghua,et al. Multi-kernel support vector machine considering sample optimization selection for analysis and evaluation of landslide disaster susceptibility[J]. Acta Geodaetica et Cartographica Sinica,2022,51(10):2034 − 2045. (in Chinese with English abstract)] DOI: 10.11947/j.AGCS.2022.20220326
LIU Jiping, LIANG Enjie, XU Shenghua, et al. Multi-kernel support vector machine considering sample optimization selection for analysis and evaluation of landslide disaster susceptibility［J］. Acta Geodaetica et Cartographica Sinica, 2022, 51（10）: 2034 − 2045. （in Chinese with English abstract） DOI: 10.11947/j.AGCS.2022.20220326
|
| [9] |
魏文豪,贾雨霏,盛逸凡,等. 基于Ⅰ、SVM、Ⅰ-SVM的滑坡灾害易发性评价模型研究[J]. 安全与环境工程,2023,30(3):136 − 144. [WEI Wenhao,JIA Yufei,SHENG Yifan,et al. Research on landslide susceptibility evaluation model based on Ⅰ,SVM and Ⅰ-SVM[J]. Safety and Environmental Engineering,2023,30(3):136 − 144. (in Chinese)]
WEI Wenhao, JIA Yufei, SHENG Yifan, et al. Research on landslide susceptibility evaluation model based on Ⅰ, SVM and Ⅰ-SVM［J］. Safety and Environmental Engineering, 2023, 30（3）: 136 − 144. （in Chinese）
|
| [10] |
何万才,赵俊三,林伊琳,等. 基于证据权和支持向量机模型的威信县滑坡易发性评价[J]. 科学技术与工程,2023,23(15):6350 − 6360. [HE Wancai,ZHAO Junsan,LIN Yilin,et al. Landslide susceptibility assessment in Weixin County based on evidence weight and support vector machine model[J]. Science Technology and Engineering,2023,23(15):6350 − 6360. (in Chinese with English abstract)] DOI: 10.12404/j.issn.1671-1815.2023.23.15.06350
HE Wancai, ZHAO Junsan, LIN Yilin, et al. Landslide susceptibility assessment in Weixin County based on evidence weight and support vector machine model［J］. Science Technology and Engineering, 2023, 23（15）: 6350 − 6360. （in Chinese with English abstract） DOI: 10.12404/j.issn.1671-1815.2023.23.15.06350
|
| [11] |
黄发明,曾诗怡,姚池,等. 滑坡易发性预测建模的不确定性:不同“非滑坡样本”选择方式的影响[J]. 工程科学与技术,2023:1 − 14. [HUANG Faming,ZENG Shiyao,YAO Chi,et al. Uncertainties of landslide susceptibility prediction modeling:Influence of different selection methods of "non-landslide samples[J]. Advanced Engineering Sciences,2023,23(15):6350 − 6360. (in Chinese with English abstract)]
HUANG Faming, ZENG Shiyao, YAO Chi, et al. Uncertainties of landslide susceptibility prediction modeling: Influence of different selection methods of "non-landslide samples［J］. Advanced Engineering Sciences, 2023, 23（15）: 6350 − 6360. （in Chinese with English abstract）
|
| [12] |
JACOBS L,KERVYN M,REICHENBACH P,et al. Regional susceptibility assessments with heterogeneous landslide information:Slope unit- vs. pixel-based approach[J]. Geomorphology,2020,356:107084. DOI: 10.1016/j.geomorph.2020.107084
|
| [13] |
张勇,温智,程英建. 四川巴中市滑坡灾害与降雨雨型关系探讨[J]. 水文地质工程地质,2020,47(2):178 − 182. [ZHANG Yong,WEN Zhi,CHENG Yingjian. A discussion of the relationship between landslide disaster and rainfall types in Bazhong of Sichuan[J]. Hydrogeology & Engineering Geology,2020,47(2):178 − 182. (in Chinese with English abstract)]
ZHANG Yong, WEN Zhi, CHENG Yingjian. A discussion of the relationship between landslide disaster and rainfall types in Bazhong of Sichuan［J］. Hydrogeology & Engineering Geology, 2020, 47（2）: 178 − 182. （in Chinese with English abstract）
|
| [14] |
COMBER A,BRUNSDON C,CHARLTON M,et al. A route map for successful applications of geographically weighted regression[J]. Geographical Analysis,2023,55(1):155 − 178. DOI: 10.1111/gean.12316
|
| [15] |
卢宾宾,葛咏,秦昆,等. 地理加权回归分析技术综述[J]. 武汉大学学报(信息科学版),2020,45(9):1356 − 1366. [LU Binbin,GE Yong,QIN Kun,et al. A review on geographically weighted regression[J]. Geomatics and Information Science of Wuhan University,2020,45(9):1356 − 1366. (in Chinese with English abstract)]
LU Binbin, GE Yong, QIN Kun, et al. A review on geographically weighted regression［J］. Geomatics and Information Science of Wuhan University, 2020, 45（9）: 1356 − 1366. （in Chinese with English abstract）
|
| [16] |
于宪煜,熊十力. 基于空间多尺度分析的滑坡易发性评价——以三峡库区秭归-巴东段为例[J]. 大地测量与地球动力学,2020,40(2):187 − 192. [YU Xianyu,XIONG Shili. Landslide susceptibility assessment based on spatial multi-scale analysis:A case study of Zigui to Badong in the Three Gorges Reservoir area[J]. Journal of Geodesy and Geodynamics,2020,40(2):187 − 192. (in Chinese with English abstract)]
YU Xianyu, XIONG Shili. Landslide susceptibility assessment based on spatial multi-scale analysis: A case study of Zigui to Badong in the Three Gorges Reservoir area［J］. Journal of Geodesy and Geodynamics, 2020, 40（2）: 187 − 192. （in Chinese with English abstract）
|
| [17] |
方匡南,吴见彬,朱建平,等. 随机森林方法研究综述[J]. 统计与信息论坛,2011,26(3):32 − 38. [FANG Kuangnan,WU Jianbin,ZHU Jianping,et al. A review of technologies on random forests[J]. Statistics & Information Forum,2011,26(3):32 − 38. (in Chinese with English abstract)]
FANG Kuangnan, WU Jianbin, ZHU Jianping, et al. A review of technologies on random forests［J］. Statistics & Information Forum, 2011, 26（3）: 32 − 38. （in Chinese with English abstract）
|
| [18] |
于新洋,赵庚星,常春艳,等. 随机森林遥感信息提取研究进展及应用展望[J]. 遥感信息,2019,34(2):8 − 14. [YU Xinyang,ZHAO Gengxing,CHANG Chunyan,et al. Random forest classifier in remote sensing information extraction:A review of applications and future development[J]. Remote Sensing Information,2019,34(2):8 − 14. (in Chinese with English abstract)]
YU Xinyang, ZHAO Gengxing, CHANG Chunyan, et al. Random forest classifier in remote sensing information extraction: A review of applications and future development［J］. Remote Sensing Information, 2019, 34（2）: 8 − 14. （in Chinese with English abstract）
|
| [19] |
吴先谭,邓辉,张文江,等. 基于斜坡单元自动划分的滑坡易发性评价[J]. 山地学报,2022,40(4):542 − 556. [WU Xiantan,DENG Hui,ZHANG Wenjiang,et al. Evaluation of landslide susceptibility based on automatic slope unit division[J]. Mountain Research,2022,40(4):542 − 556. (in Chinese with English abstract)]
WU Xiantan, DENG Hui, ZHANG Wenjiang, et al. Evaluation of landslide susceptibility based on automatic slope unit division［J］. Mountain Research, 2022, 40（4）: 542 − 556. （in Chinese with English abstract）
|
| [20] |
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 Xing,YANG Sai,LI Yuanyao,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)]
LI Xing, YANG Sai, LI Yuanyao, 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）
|
| [21] |
赵晓燕,谈树成,李永平. 基于斜坡单元与组合赋权法的东川区地质灾害危险性评价[J]. 云南大学学报(自然科学版),2021,43(2):299 − 305. [ZHAO Xiaoyan,TAN Shucheng,LI Yongping. Risk assessment of geological hazards in Dongchuan District based on the methods of slope unit and combination weighting[J]. Journal of Yunnan University (Natural Sciences Edition),2021,43(2):299 − 305. (in Chinese with English abstract)]
ZHAO Xiaoyan, TAN Shucheng, LI Yongping. Risk assessment of geological hazards in Dongchuan District based on the methods of slope unit and combination weighting［J］. Journal of Yunnan University （Natural Sciences Edition）, 2021, 43（2）: 299 − 305. （in Chinese with English abstract）
|
| [22] |
刘传正,陈春利. 中国地质灾害成因分析[J]. 地质论评,2020,66(5):1334 − 1348. [LIU Chuanzheng,CHEN Chunli. Research on the origins of geological disasters in China[J]. Geological Review,2020,66(5):1334 − 1348. (in Chinese with English abstract)]
LIU Chuanzheng, CHEN Chunli. Research on the origins of geological disasters in China［J］. Geological Review, 2020, 66（5）: 1334 − 1348. （in Chinese with English abstract）
|
| [23] |
HONG Haoyuan,POURGHASEMI H R,POURTAGHI Z S. Landslide susceptibility assessment in Lianhua County (China):A comparison between a random forest data mining technique and bivariate and multivariate statistical models[J]. Geomorphology,2016,259:105 − 118. DOI: 10.1016/j.geomorph.2016.02.012
|
| [24] |
蒋文学,李益敏,杨雪,等. 基于斜坡单元的怒江州滑坡易发性研究[J]. 水土保持学报,2023,37(5):160 − 167. [JIANG Wenxue,LI Yimin,YANG Xue,et al. Study on landslide susceptibility in Nujiang prefecture based on slope unit[J]. Journal of Soil and Water Conservation,2023,37(5):160 − 167. (in Chinese with English abstract)]
JIANG Wenxue, LI Yimin, YANG Xue, et al. Study on landslide susceptibility in Nujiang prefecture based on slope unit［J］. Journal of Soil and Water Conservation, 2023, 37（5）: 160 − 167. （in Chinese with English abstract）
|
| [25] |
郭衍昊,窦杰,向子林,等. 基于优化负样本采样策略的梯度提升决策树与随机森林的汶川同震滑坡易发性评价[J]. 地质科技通报,2024,43(3):251 − 265. [GUO Yanhao,DOU Jie,XIANG Zilin,et al. Susceptibility evaluation of Wenchuan coseismic landslides by gradient boosting decision tree and random forest based on optimal negative sample sampling strategies[J]. Bulletin of Geological Science and Technology,2024,43(3):251 − 265. (in Chinese with English abstract)]
GUO Yanhao, DOU Jie, XIANG Zilin, et al. Susceptibility evaluation of Wenchuan coseismic landslides by gradient boosting decision tree and random forest based on optimal negative sample sampling strategies［J］. Bulletin of Geological Science and Technology, 2024, 43（3）: 251 − 265. （in Chinese with English abstract）
|
| [26] |
阳清青,余秋兵,张廷斌,等. 基于GDIV模型的大渡河中游地区滑坡危险性评价与区划[J]. 中国地质灾害与防治学报,2023,34(5):130 − 140. [YANG Qingqing,YU Qiubing,ZHANG Tingbin,et al. Landslide hazard assessment in the middle reach area of the Dadu River based on the GDIV model[J]. The Chinese Journal of Geological Hazard and Control,2023,34(5):130 − 140. (in Chinese with English abstract)]
YANG Qingqing, YU Qiubing, ZHANG Tingbin, et al. Landslide hazard assessment in the middle reach area of the Dadu River based on the GDIV model［J］. The Chinese Journal of Geological Hazard and Control, 2023, 34（5）: 130 − 140. （in Chinese with English abstract）
|
| [27] |
于宪煜, 汤礼. 基于SMOTE-Tomek和CNN耦合的滑坡易发性评价模型及其应用——以三峡库区秭归—巴东段为例[J]. 中国地质灾害与防治学报,2024,35(3):141 − 151. [YU Xianyu, TANG Li. Landslide susceptibility mapping model based on a coupled model of SMOTE-Tomek and CNN and its application: A case study in the Zigui-Badong section of the Three Gorges Reservoir area[J]. The Chinese Journal of Geological Hazard and Control,2024,35(3):141 − 151. (in Chinese with English abstract)]
YU Xianyu, TANG Li. Landslide susceptibility mapping model based on a coupled model of SMOTE-Tomek and CNN and its application: A case study in the Zigui-Badong section of the Three Gorges Reservoir area［J］. The Chinese Journal of Geological Hazard and Control, 2024, 35（3）: 141 − 151. （in Chinese with English abstract）
|
| [28] |
PETSCHKO H,BRENNING A,BELL R,et al. Assessing the quality of landslide susceptibility maps:case study Lower Austria[J]. Natural Hazards and Earth System Sciences,2014,14(1):95 − 118. DOI: 10.5194/nhess-14-95-2014
|
| [29] |
王惠,许月卿,刘超,等. 基于地理加权回归的生境质量对土地利用变化的响应 ——以河北省张家口市为例[J]. 北京大学学报(自然科学版),2019,55(3):509 − 518. [WANG Hui,XU Yueqing,LIU Chao,et al. Response of habitat quality to land use change based on geographical weighted regression[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2019,55(3):509 − 518. (in Chinese with English abstract)]
WANG Hui, XU Yueqing, LIU Chao, et al. Response of habitat quality to land use change based on geographical weighted regression［J］. Acta Scientiarum Naturalium Universitatis Pekinensis, 2019, 55（3）: 509 − 518. （in Chinese with English abstract）
|
| [30] |
陈强,朱慧敏,何溶,等. 基于地理加权回归模型评估土地利用对地表水质的影响[J]. 环境科学学报,2015,35(5):1571 − 1580. [CHEN Qiang,ZHU Huimin,HE Rong,et al. Evaluating the impacts of land use on surface water quality using geographically weighted regression[J]. Acta Scientiae Circumstantiae,2015,35(5):1571 − 1580. (in Chinese with English abstract)]
CHEN Qiang, ZHU Huimin, HE Rong, et al. Evaluating the impacts of land use on surface water quality using geographically weighted regression［J］. Acta Scientiae Circumstantiae, 2015, 35（5）: 1571 − 1580. （in Chinese with English abstract）
|
| [31] |
SHIRZADI A,SOLAIMANI K,ROSHAN M H,et al. Uncertainties of prediction accuracy in shallow landslide modeling:Sample size and raster resolution[J]. Catena,2019,178:172 − 188. DOI: 10.1016/j.catena.2019.03.017
|
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