The municipality of Hammam N’bails,located 37 km east of the capital of Guelma province(eastern Algeria),is accessible via RN20 and CW19 roads.It borders the municipalities of Khemissa and El Henancha in Souk-Ahras p...The municipality of Hammam N’bails,located 37 km east of the capital of Guelma province(eastern Algeria),is accessible via RN20 and CW19 roads.It borders the municipalities of Khemissa and El Henancha in Souk-Ahras province.With a population of approximately 16,000 and covering an area of 164 km²,this region is characterized by mountainous terrain,with elevations ranging from 112 to 292 meters.The area experiences cold,snowy winters and hot,dry summers,with an average annual rainfall of about 600 mm.Renowned for its natural thermal springs,Hammam N’bails is also a notable tourist destination.The rugged topography of the region leads to frequent landslides,particularly on medium and low slopes.Landslide susceptibility is assessed using raster calculators in ArcGIS and efficient machine learning algorithms,such as Decision Trees,Bagging,Random Forest,SVM,and MLP.Factors considered in the analysis include slope,elevation,geology,aspect,proximity to streams and roads,land cover,and rainfall.The performance of these models is evaluated using ROC-AUC curves,providing a robust method to understand and mitigate geological risks in this area.展开更多
在全面踏查的基础上,于2016年7月对浙江高姥山金缕梅Hamamelis mollis群落结构特征以及金缕梅种群结构进行调查研究。研究表明,群落中以金缕梅和四照花Dendrobenthamia japonica var. chinensis为主要优势种,其重要值分别为20.126%和17....在全面踏查的基础上,于2016年7月对浙江高姥山金缕梅Hamamelis mollis群落结构特征以及金缕梅种群结构进行调查研究。研究表明,群落中以金缕梅和四照花Dendrobenthamia japonica var. chinensis为主要优势种,其重要值分别为20.126%和17.737%,两者的重要值比例为37.863%;乔木层的物种丰富度指数最高,灌木层的物种均匀度指数最高,而乔木层、灌木层和草本层的优势度指数均较高且极为接近,说明该群落为相对不成熟群落;群落的乔木层高度主要集中在5～6 m。群落中金缕梅的高度虽然并不占优势,但通过根出条萌枝扩大冠幅,从而争夺群落资源;由于萌枝作为其主要更新方式,金缕梅种群整体呈聚集分布。金缕梅种群的大小结构以III级小树和IV级中树为主,由此认为该种群目前尚处于稳定阶段。展开更多
文摘The municipality of Hammam N’bails,located 37 km east of the capital of Guelma province(eastern Algeria),is accessible via RN20 and CW19 roads.It borders the municipalities of Khemissa and El Henancha in Souk-Ahras province.With a population of approximately 16,000 and covering an area of 164 km²,this region is characterized by mountainous terrain,with elevations ranging from 112 to 292 meters.The area experiences cold,snowy winters and hot,dry summers,with an average annual rainfall of about 600 mm.Renowned for its natural thermal springs,Hammam N’bails is also a notable tourist destination.The rugged topography of the region leads to frequent landslides,particularly on medium and low slopes.Landslide susceptibility is assessed using raster calculators in ArcGIS and efficient machine learning algorithms,such as Decision Trees,Bagging,Random Forest,SVM,and MLP.Factors considered in the analysis include slope,elevation,geology,aspect,proximity to streams and roads,land cover,and rainfall.The performance of these models is evaluated using ROC-AUC curves,providing a robust method to understand and mitigate geological risks in this area.
