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New application of open source data and Rock Engineering System for debris flow susceptibility analysis

Journal of Mountain Science 2021年第12期18卷 3200-3217页

作者： Sabrina BONETTO Pietro MOSCA Federico VAGNON Davide VIANELLO Department of Earth Science University of TorinoTorino 10125Italy Institute of Geosciences and Earth Resources National Research Council(CNR)Torino 10125Italy

This research describes a quantitative,rapid,and low-cost methodology for debris flow susceptibility evaluation at the basin scale using open-access data and geodatabases.The proposed approach can aid decision makers in land management and territorial planning,by first screening for areas with a higher debris flow susceptibility.Five environmental predisposing factors,namely,bedrock lithology,fracture network,quaternary deposits,slope inclination,and hydrographic network,were selected as independent parameters and their mutual interactions were described and quantified using the Rock Engineering System(RES)methodology.For each parameter,specific indexes were proposed,aiming to provide a final synthetic and representative index of debris flow susceptibility at the basin scale.The methodology was tested in four basins located in the Upper Susa Valley(NW Italian Alps)where debris flow events are the predominant natural hazard.The proposed matrix can represent a useful standardized tool,universally applicable,since it is independent of type and characteristic of the basin.

关键词： Debris flow Interaction matrix Rock Engineering System(RES) susceptibility analysis Open source data Debris flow predisposing factors

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Isolation,Identification and susceptibility analysis of Bacillus pyocyaners from a Canine Pyometra

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Agricultural Biotechnology 2020年第5期9卷 94-97页

作者： Kunyuan ZHU Lan WU Yanfei LIU Jiande YANG College of Animal Science and Veterinary Medicine Tianjin Agricultural UniversityTianjin 300384China

In order to clarify the causes of the fester disease in companion animals,this study involved isolation,identification and drug susceptibility analysis of pathogenic bacteria from the uterus of an 11-year-old female dog who was admitted to the veterinary hospital of Tianjin Agricultural University.According to the results of colony morphology,smear staining microscopy,physiological and biochemical reaction and 16 S rRNA gene analysis,the bacteria was identified as a Bacillus pyocyaners.The susceptibility analysis showed that the isolate is highly sensitive to aztreonam,cefdinir,cefotaxime,cefepime,ceftazidime,ofloxacin,streptomycin,kanamycin,piperacillin and tobramycin.Moreover,the isolate is moderately sensitive to ceftriaxone,cefuroxime and cefoxitin,but resistant to ampicillin,cefazolin,cefazine and medemycin.The research results provide references for controlling infection caused by B.pyocyaners.

关键词： Bacillus pyocyaners Isolation and identification 16S rRNA gene susceptibility analysis

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Estimation of Shallow Landslide susceptibility Incorporating the Impacts of Vegetation on Slope Stability

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International Journal of Disaster Risk Science 2023年第4期14卷 618-635页

作者： Hu Jiang Qiang Zou Bin Zhou Yao Jiang Junfang Cui Hongkun Yao Wentao Zhou Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment(IMHE)Chinese Academy of Sciences(CAS)Chengdu 610041China China-Pakistan Joint Research Center on Earth Sciences Islamabad 45320Pakistan University of Chinese Academy of Sciences Beijing 100049China

This study aimed to develop a physical-based approach for predicting the spatial likelihood of shallow landslides at the regional scale in a transition zone with extreme topography.Shallow landslide susceptibility study in an area with diverse vegetation types as well as distinctive geographic factors(such as steep terrain,fractured rocks,and joints)that dominate the occurrence of shallow landslides is challenging.This article presents a novel methodology for comprehensively assessing shallow landslide susceptibility,taking into account both the positive and negative impacts of plants.This includes considering the positive efects of vegetation canopy interception and plant root reinforcement,as well as the negative efects of plant gravity loading and preferential fow of root systems.This approach was applied to simulate the regional-scale shallow landslide susceptibility in the Dadu River Basin,a transition zone with rapidly changing terrain,uplifting from the Sichuan Plain to the Qinghai–Tibet Plateau.The research fndings suggest that:(1)The proposed methodology is efective and capable of assessing shallow landslide susceptibility in the study area;(2)the proposed model performs better than the traditional pseudo-static analysis method(TPSA)model,with 9.93%higher accuracy and 5.59%higher area under the curve;and(3)when the ratio of vegetation weight loads to unstable soil mass weight is high,an increase in vegetation biomass tends to be advantageous for slope stability.The study also mapped the spatial distribution of shallow landslide susceptibility in the study area,which can be used in disaster prevention,mitigation,and risk management.

关键词： Physical-based model Qinghai-Tibet Plateau Shallow landslide susceptibility analysis Vegetation effect

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