登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Zhao, Yan, Meng, Xingmin, Qi, Tianjun, Qing, Feng, Xiong, Muqi, Li, Yajun, Guo, Peng, Chen, Guan (2020) AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China. Geomorphology, 359. 107125 doi:10.1016/j.geomorph.2020.107125

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAI-based identification of low-frequency debris flow catchments in the Bailong River basin, China
JournalGeomorphology
AuthorsZhao, YanAuthor
Meng, XingminAuthor
Qi, TianjunAuthor
Qing, FengAuthor
Xiong, MuqiAuthor
Li, YajunAuthor
Guo, PengAuthor
Chen, GuanAuthor
Year2020 (June)Volume359
PublisherElsevier BV
DOIdoi:10.1016/j.geomorph.2020.107125Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID950143Long-form Identifiermindat:1:5:950143:4
GUID0
Full ReferenceZhao, Yan, Meng, Xingmin, Qi, Tianjun, Qing, Feng, Xiong, Muqi, Li, Yajun, Guo, Peng, Chen, Guan (2020) AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China. Geomorphology, 359. 107125 doi:10.1016/j.geomorph.2020.107125
Plain TextZhao, Yan, Meng, Xingmin, Qi, Tianjun, Qing, Feng, Xiong, Muqi, Li, Yajun, Guo, Peng, Chen, Guan (2020) AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China. Geomorphology, 359. 107125 doi:10.1016/j.geomorph.2020.107125
In(2020) Geomorphology Vol. 359. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhao, Yan, Meng, Xingmin, Qi, Tianjun, Chen, Guan, Li, Yajun, Yue, Dongxia, Qing, Feng (2023) Estimating the daily rainfall thresholds of regional debris flows in the Bailong River Basin, China. Bulletin of Engineering Geology and the Environment, 82 (2) doi:10.1007/s10064-023-03068-9
Zhao, Yan, Meng, Xingmin, Qi, Tianjun, Li, Yajun, Chen, Guan, Yue, Dongxia, Qing, Feng (2022) AI-based rainfall prediction model for debris flows. Engineering Geology, 296. 106456pp. doi:10.1016/j.enggeo.2021.106456
Xiong, Muqi, Meng, Xingmin, Wang, Siyuan, Guo, Peng, Li, Yajun, Chen, Guan, Qing, Feng, Cui, Zhijie, Zhao, Yan (2016) Effectiveness of debris flow mitigation strategies in mountainous regions. Progress in Physical Geography: Earth and Environment, 40 (6). 768-793 doi:10.1177/0309133316655304
Wang, Siyuan, Meng, Xingmin, Chen, Guan, Guo, Peng, Xiong, Muqi, Zeng, Runqiang (2017) Effects of vegetation on debris flow mitigation: A case study from Gansu province, China. Geomorphology, 282. 64-73 doi:10.1016/j.geomorph.2016.12.024
MENG, Xingmin, CHEN, Guan, GUO, Peng, XIONG, Muqi, Janusz, Wasowski (2013) RESEARCH OF LANDSLIDES AND DEBRIS FLOWS IN BAILONG RIVER BASIN:PROGRSS AND PROSPECT. Marine Geology & Quaternary Geology, 33 (4). 1pp. doi:10.3724/sp.j.1140.2013.04001
Qi, Tianjun, Meng, Xingmin, Qing, Feng, Zhao, Yan, Shi, Wei, Chen, Guan, Zhang, Yi, Li, Yajun, Yue, Dongxia, Su, Xiaojun, Guo, Fuyun, Zeng, Runqiang, Dijkstra, Tom (2021) Distribution and characteristics of large landslides in a fault zone: A case study of the NE Qinghai-Tibet Plateau. Geomorphology, 379. 107592pp. doi:10.1016/j.geomorph.2021.107592
Zhao, Yan, Meng, Xingmin, Qi, Tianjun, Chen, Guan, Li, Yajun, Yue, Dongxia, Qing, Feng (2021) Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach. Remote Sensing, 13 (23). doi:10.3390/rs13234813
Qing, Feng, Zhao, Yan, Meng, Xingmin, Su, Xiaojun, Qi, Tianjun, Yue, Dongxia (2020) Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway. Remote Sensing, 12 (18). doi:10.3390/rs12182933
Jiang, Wanyu, Chen, Guan, Meng, Xingmin, Jin, Jiacheng, Zhao, Yan, Lin, Linxin, Li, Yajun, Zhang, Yi (2022) Probabilistic rainfall threshold of landslides in Data-Scarce mountainous Areas: A case study of the Bailong River Basin, China. CATENA, 213. 106190 doi:10.1016/j.catena.2022.106190
Li, Yajun, Meng, Xingmin, Guo, Peng, Dijkstra, Tom, Zhao, Yan, Chen, Guan, Yue, Dongxia (2021) Constructing rainfall thresholds for debris flow initiation based on critical discharge and S-hydrograph. Engineering Geology, 280. 105962pp. doi:10.1016/j.enggeo.2020.105962
Zhao, Yan, Li, Yajun, Zheng, Jiaoyu, Wang, Yirui, Meng, Xingmin, Yue, Dongxia, Guo, Fuyun, Chen, Guan, Qi, Tianjun, Zhang, Yongjun (2025) A new rainfall Intensity−Duration threshold curve for debris flows using comprehensive rainfall intensity. Engineering Geology, 347. doi:10.1016/j.enggeo.2025.107949
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.6 18:03:02
Go to top of page