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Automatic recognition of landslides based on YOLOv7 and attention mechanism

Journal of Mountain Science 2024年第8期21卷 2681-2695页

作者： SONG Yewei GUO Jie WU Gaofeng ma fengshan LI Fangrui Key Laboratory of Shale Gas and Geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Sciences Chinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China

Landslide disasters comprise the majority of geological incidents on slopes,posing severe threats to the safety of human lives and property while exerting a significant impact on the geological *** rapid identification of landslides is important for disaster prevention and control;however,currently,landslide identification relies mainly on the manual interpretation of remote sensing *** interpretation and feature recognition methods are time-consuming,labor-intensive,and challenging when confronted with complex ***,automatic landslide recognition has emerged as a pivotal avenue for future *** this study,a dataset comprising 2000 landslide images was constructed using open-source remote sensing images and *** YOLOv7 model was enhanced using data augmentation algorithms and attention *** optimization models were formulated to realize automatic landslide *** findings demonstrate the commendable performance of the optimized model in automatic landslide recognition,achieving a peak accuracy of 95.92%.Subsequently,the optimized model was applied to regional landslide identification,co-seismic landslide identification,and landslide recognition at various scales,all of which showed robust recognition ***,the model exhibits limitations in detecting small targets,indicating areas for refining the deep-learning *** results of this research offer valuable technical support for the swift identification,prevention,and mitigation of landslide disasters.

关键词： Deep learning Landslide detection Natural disasters Attention mechanism Remote sensing

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Comparison of debris flow susceptibility assessment methods:support vector machine,particle swarm optimization,and feature selection techniques

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Journal of Mountain Science 2024年第2期21卷 397-412页

作者： ZHAO Haijun WEI Aihua ma fengshan DAI Fenggang JIANG Yongbing LI Hui Key Laboratory of Shale Gas and Geoengineering Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Innovation Academy for Earth Science Chinese Academy of SciencesBeijing 100029China Hebei Province Key Laboratory of Sustained Utilization&Development of Water Recourse Hebei GEO UniversityShijiazhuang 050031China School of Water Resources and Environment Hebei GEO UniversityShijiazhuang 050031China The Sixth Geological Brigade of Geological Mineral Exploration and Development Bureau of Hebei Province Shijiazhuang 050085China

The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility *** this study,metaheuristic optimization and feature selection techniques were applied to identify the most important input parameters for mapping debris flow susceptibility in the southern mountain area of Chengde City in Hebei Province,China,by using machine learning *** total,133 historical debris flow records and 16 related factors were *** support vector machine(SVM)was first used as the base classifier,and then a hybrid model was introduced by a two-step ***,the particle swarm optimization(PSO)algorithm was employed to select the SVM model ***,two feature selection algorithms,namely principal component analysis(PCA)and PSO,were integrated into the PSO-based SVM model,which generated the PCA-PSO-SVM and FS-PSO-SVM models,*** statistical metrics(accuracy,recall,and specificity)and the area under the receiver operating characteristic curve(AUC)were employed to evaluate and validate the performance of the *** results indicated that the feature selection-based models exhibited the best performance,followed by the PSO-based SVM and SVM ***,the performance of the FS-PSO-SVM model was better than that of the PCA-PSO-SVM model,showing the highest AUC,accuracy,recall,and specificity values in both the training and testing *** was found that the selection of optimal features is crucial to improving the reliability of debris flow susceptibility assessment ***,the PSO algorithm was found to be not only an effective tool for hyperparameter optimization,but also a useful feature selection algorithm to improve prediction accuracies of debris flow susceptibility by using machine learning *** high and very high debris flow susceptibility zone appropriately covers 38.01%of the study area,where debris flow may occur under intens

关键词： Chengde Feature selection Support vector machine Particle swarm optimization Principal component analysis Debris flow susceptibility

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Hydrochemical Characteristics and the Suitability of Groundwater in the Coastal Region of Tangshan, China

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Journal of Earth Science 2014年第6期25卷 1067-1075页

作者： fengshan ma Aihua Wei Qinghai Deng Haijun Zhao Key Laboratory of Engineering Geomechanics Institute of Geology and Geophysics Chinese Academy of Sciences Shijiazhuang University of Economics Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources College of Geological Science and Engineering Shandong University of Science and Technology

Through collecting groundwater samples from the coastal region of Tangshan, China, the hydrochemical processes that affect the chemical composition of groundwater and the quality of resources were analyzed. Chemical constituents, factor analysis, and a graphic method were employed in this research. The results show that human activities obviously affect fresh groundwater. The deep groundwater distributed in the southern part of the region is severely affected by salinization, and the shallow groundwater in the north is also beginning to show the same deterioration. The chemical concentrations of the deep groundwater depend largely upon the water-rock interaction, the mixing of saline water and the ion exchange processes. With the exception of sample C-33, all the groundwater samples in the study area are suitable for drinking. Tests show that roughly half of the deep groundwater samples have at least one water quality index indicating that it is chemically doubtful or unsuitable for irrigation. Therefore, it is concluded that deep groundwater is becoming an unacceptable resource to irrigate areas located near the coastline because the groundwater quality in the study area is exhibiting signs of degradation. This study＇s findings contribute to a better understanding of groundwater resources in order to support regional management and protection.

关键词： groundwater factor analysis ion exchange process salinization water quality index

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The Characteristics and Causes of Land Subsidence in Tanggu Based on the GPS Survey System and Numerical Simulation

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Acta Geologica Sinica(English Edition) 2011年第6期85卷 1495-1507页

作者： ma fengshan WEI Aihua HAN Zhantao ZHAO Haijun GUO Jie Key Laboratory of Engineering Geomechanics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing 100029 China The Institute ofHydrogeology andEnvironmental Geology Chinese Academy of Geological Sciences Shijiazhuang 050061 China

Land subsidence is a severe hazard threatening Tanggu, a flat lowland area, and evidences of land subsidence can be seen throughout the city. A new reasonable GPS network was set up in this area from 2008 to 2010. The monitoring data show that land subsidence was serious and two main subsidence cones were obviously formed in the region. One emerged at Hujiayuan, with the maximum rate reaching 60 ram/a, and the influence region enlarged prominently from 2005 to 2010. The other one occurred at Kaifaqu, which became obvious only after 2005, and it showed a decreasing tendency with time. To analyze the causes of ground settlement, a correlation between groundwater withdrawal and land subsidence was firstly made. The results confirmed that over-exploitation of groundwater was the major cause for the severe settlement in Hujiayuan. Meanwhile, the subsidence of Kaifaqu was also related to groundwater withdrawal before 2005. However, the relationship became unconspicuous after 2005. To find the cause of this abnormity, a three-dimensional finite element numerical model, coupled with groundwater flow and subsidence, was built. The simulation results indicate that the subsidence induced by high-rise buildings is serious, but the affected range is limited and it also shows a decreasing trend with time, corresponding to the subsidence characteristics at Kaifaqu. Therefore, more attention should be paid to this hazard induced by engineering construction besides groundwater withdrawal, as more high-rise buildings are under construction in Tanggu.

关键词： land subsidence GPS subsidence cones finite element numerical model high-rise buildings

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Stability Analysis of Zhangmu Landslide Based on the Monitoring Technology

Stability Analysis of Zhangmu Landslide Based on the Monitor...

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中国科学院地质与地球物理研究所2014年度（第14届）学术年会

作者： fengshan ma Jie Wang Kuo Ding Key Laboratory of Engineering Geomechanics Institute of Geology and GeophysicsChinese Academy of Sciences

Zhangmu town is an important treaty port between China and *** is located on an ancient landslide due to terrain *** stability of the landslide is analyzed based on the monitoring surface and underground *** deformation characteristics are compared with the geological conditions obtained from *** landslide is divided into two ancient landslides named respectively Fuliyuan landslide and Bangcundong *** find that Fuliyuan landslide is dangerous but Bangcundong landslide is temporally *** accurate boundary of Fuliyuan landslide is *** dangerous stratum related to sliding is figured *** result can be a good reference for treatment plan.

关键词： Zhangmu landlside monitoring surficial displacement underground displacement

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Investigating the characteristics of mine water in a subsea mine using groundwater geochemistry and stable isotopes

Investigating the characteristics of mine water in a subsea ...

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中国科学院地质与地球物理研究所2015年度（第15届）学术年会

作者： fengshan ma Haijun Zhao Jie Guo Key Laboratory of Shale Gas and Geoengineering Institute of Geology and GeophysicsChinese Academy of Sciences

Investigation were conducted in the Xinli subsea mine from 2006 to 2011,which is the largest subsea mine in China and threatened by the overlying Quaternary aquifer and *** and stable isotopic(δH andδO)analyses were used to study the relationships between various *** results indicated that the seepage water in the mine tunnels had higher EC,TDS,and concentrations of most elements than the seawater and saline *** analyses indicated the mine discharge was a mixture of the seawater,brine,and atmospheric *** proportions of the three different sources were calculated based on hydrochemical and isotopic *** seepage water were more isotopically enriched than the seawater but less than the *** addition,the isotope mixing calculation indicated that the average proportions of mine water from seawater,brine and atmospheric precipitation were about38.5,46,and 15.5%respectively for the entire mine ***,the concentrations of these analyses decreased and the proportion of the seawater increased21.1%after 5 years of exploitation in *** changes demonstrated that the surrounding rock mass underwent a certain extent of deformation and failure because of the mining disturbance,which enhanced the permeability of the surrounding rock mass.

关键词： Subsea mine Seepage Geochemistry Stable isotope

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Monitoring of Ground Fissures Induced by Underground Mining

Monitoring of Ground Fissures Induced by Underground Mining

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中国科学院地质与地球物理研究所2012年度（第12届）学术年会

作者： Jie Guo fengshan ma Haijun Zhao Key Laboratory of Engineering Geomechanics Institute of Geology and GeophysicsChinese Academy of Sciences

Aim to analyze the development trend of ground fissures,new type of deformation monitoring device was *** device was used to measure the deformation of ground fissures in metal *** results showed it was feasible to mo... 详细信息

关键词： ground fissure monitoring three-dimensional deformation measurement device

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Evaluation of Rock mass Permeability Based on Geometry Measuring Method in a Gold Mine

Evaluation of Rock Mass Permeability Based on Geometry Measu...

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中国科学院地质与地球物理研究所2012年度（第12届）学术年会

作者： fengshan ma Haijun Zhao Jie Guo Key Laboratory of Engineering Geomechanics Institute of Geology and GeophysicsChinese Academy of Sciences

In this paper,a practical technical approach for the evaluation of hydraulic conductivity in complex fractured rock mass is present in a seabed gold *** to hydrogeological conditions and characteristics survey in the field,geometry measuring method was applied in the insitu ***,various methods were involved in the evaluation of the fracture development,water seepage features and permeability of the fractured rock *** this study,a particular set of hydrogeological investigation,research and permeability evaluation methods were put forward,which are of great significance to the research and practical production of mines with similar cases.

关键词： fractured rock mass mining hydrogeological characteristic permeability joint

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Regularity and formation mechanism of large-scale abrupt karst collapse in southern China in the first half of 2010

Regularity and formation mechanism of large-scale abrupt kar...

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中国科学院地质与地球物理研究所2012年度（第12届）学术年会

作者： Haijun Zhao fengshan ma Jie Guo Key Laboratory of Engineering Geomechanics Institute of Geology and GeophysicsChinese Academy of Sciences

From winter 2009 to spring 2010,southern China suffered from an extensive and lengthy ***,southern China experienced torrential rains a dozen times during the flood season of *** prolonged drought and subsequent intensive rainfall dramatically altered the hydrodynamic conditions of the karst areas, causing hundreds of widely distributed karst collapses,with extensive damage to houses and fields and necessitating the evacuation of many *** the causes of these collapses will provide a scientific basis for the prediction or prevention of the related ***,a geologic survey of karst collapses was performed that systematically allowed to analyze the basic geological conditions,groundwater hydrodynamic conditions,overlying strata properties,and environmental and climatic conditions in southern *** results showed that environmental and climatic changes,especially the drastic changes in rainfall,gave rise to striking changes in karst hydrodynamic conditions that accelerated infiltration,suffosion,dissolution,and transportation rates and also changed the physical and mechanical properties of the strata overlying karst *** stressors triggered or facilitated both cave formation and collapse.

关键词： Southern China Karst collapse Sinkhole Environmental and climatic changes

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Characteristics and mechanisms of mining-induced fault reactivations in an open-pit mine

Characteristics and mechanisms of mining-induced fault react...

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中国科学院地质与地球物理研究所2013年度（第13届）学术年会

作者： Haijun Zhao fengshan ma Jie Guo Aihua Wei Key Laboratory of Engineering Geomechanics Institute of Geology and GeophysicsChinese Academy of Sciences

Fault reactivation is a common and important engineering geological phenomenon. However,the manifestation modes and degrees of open-pit mining-induced fault reactivation vary with the engineering geological *** the current study,several common types of fault reactivations were identified according to the geological investigations in the Jinchuan open-pit mine of China. Different models of fault reactivation and their influences on slope deformation were *** on these observations,the spatial characteristics of fault reactivations were *** development conditions of fault reactivations and their formation mechanisms were further studied by some theoretical *** results are helpful in the understanding of fault reactivations and also contribute to the slope deformation studies.

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