为了明晰泥石流防治的研究进展,以Web of Science中1335条文献信息为研究对象,利用CiteSpace分析该领域内主要机构、学者和相关学科以及共现关键词之间的关系网络。结果表明:①中国科学院和美国地质调查局等机构在该领域发挥重要作用,...为了明晰泥石流防治的研究进展,以Web of Science中1335条文献信息为研究对象,利用CiteSpace分析该领域内主要机构、学者和相关学科以及共现关键词之间的关系网络。结果表明:①中国科学院和美国地质调查局等机构在该领域发挥重要作用,形成了中国科学院(成都山地灾害与环境研究所)、成都理工大学、意大利国家研究委员会、佛罗伦萨大学和日内瓦大学五大学者群体;②研究理论相对单一,难以全面地认识泥石流灾害,应加强学科交流,促进多学科交叉融合;③研究热点主要集中在灾害型、诱因型、区域型和方法型4个大类。研究结果有助于进一步完善泥石流防治科学研究体系,为促进山区生态环境安全提供依据。展开更多
Understanding the spatial heterogeneity of debris-flow-prone areas holds significant implications for regional risk management, particularly in seismically active regions with geological faults. Despite the significan...Understanding the spatial heterogeneity of debris-flow-prone areas holds significant implications for regional risk management, particularly in seismically active regions with geological faults. Despite the significance of this knowledge, a comprehensive quantification of the influence of regional topographical and geological factors on the spatial heterogeneity of debris-flow-prone areas has been lacking. This study selected the Hengduan Mountains, an earthquake-prone region characterized by diverse surface conditions and complex landforms, as a representative study area. An improved units zoning and objective factors identification methodology was employed in earthquake and fault analysis to assess the impact of seismic activity and geological factors on spatial heterogeneity of debrisflow prone areas. Results showed that the application of GIS technology with hydrodynamic intensity and geographical units analysis can effectively analyze debris-flow prone areas. Meanwhile, earthquake and fault zones obviously increase the density of debrisflow prone catchments and make them unevenly distributed. The number of debris-flow prone areas shows a nonlinear variation with the gradual increase of geomorphic factor value. Specifically, the area with 1000 m-2500 m elevation difference, 25°-30° average slope, and 0.13-0.15 land use index is the most favorable conditions for debris-flow occurrence;The average annual rainfall from 600 to 1150 mm and landslides gradient from 16° to 35° are the main causal factors to trigger debris flow. Our study sheds light on the quantification of spatial heterogeneity in debris flow-prone areas in earthquake-prone regions, which can offer crucial support for post-debris flow risk management strategies.展开更多
文摘为了明晰泥石流防治的研究进展,以Web of Science中1335条文献信息为研究对象,利用CiteSpace分析该领域内主要机构、学者和相关学科以及共现关键词之间的关系网络。结果表明:①中国科学院和美国地质调查局等机构在该领域发挥重要作用,形成了中国科学院(成都山地灾害与环境研究所)、成都理工大学、意大利国家研究委员会、佛罗伦萨大学和日内瓦大学五大学者群体;②研究理论相对单一,难以全面地认识泥石流灾害,应加强学科交流,促进多学科交叉融合;③研究热点主要集中在灾害型、诱因型、区域型和方法型4个大类。研究结果有助于进一步完善泥石流防治科学研究体系,为促进山区生态环境安全提供依据。
基金supported by the Hubei Provincial Engineering Research Center of Slope Habitat Construction Technique Using Cement-based Materials Open Research Program (Grant No. 2022SNJ112022SNJ12)+4 种基金National Natural Science Foundation of China (Grant No. 42371014)Hubei Key Laboratory of Disaster Prevention and Mitigation (China Three Gorges University) Open Research Program (Grant No. 2022KJZ122023KJZ19)CRSRI Open Research Program (Grant No. CKWV2021888/KY)the Key Laboratory of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences (Grant No. KLMHESP20-0)。
文摘Understanding the spatial heterogeneity of debris-flow-prone areas holds significant implications for regional risk management, particularly in seismically active regions with geological faults. Despite the significance of this knowledge, a comprehensive quantification of the influence of regional topographical and geological factors on the spatial heterogeneity of debris-flow-prone areas has been lacking. This study selected the Hengduan Mountains, an earthquake-prone region characterized by diverse surface conditions and complex landforms, as a representative study area. An improved units zoning and objective factors identification methodology was employed in earthquake and fault analysis to assess the impact of seismic activity and geological factors on spatial heterogeneity of debrisflow prone areas. Results showed that the application of GIS technology with hydrodynamic intensity and geographical units analysis can effectively analyze debris-flow prone areas. Meanwhile, earthquake and fault zones obviously increase the density of debrisflow prone catchments and make them unevenly distributed. The number of debris-flow prone areas shows a nonlinear variation with the gradual increase of geomorphic factor value. Specifically, the area with 1000 m-2500 m elevation difference, 25°-30° average slope, and 0.13-0.15 land use index is the most favorable conditions for debris-flow occurrence;The average annual rainfall from 600 to 1150 mm and landslides gradient from 16° to 35° are the main causal factors to trigger debris flow. Our study sheds light on the quantification of spatial heterogeneity in debris flow-prone areas in earthquake-prone regions, which can offer crucial support for post-debris flow risk management strategies.
