Taihang Mountains are situated between Shanxi Province and the North China Plain,spanning Beijing,Hebei,Shanxi,and Henan provinces and cities.The mountains extend from northeast to southwest for over 400 km,naturally ...Taihang Mountains are situated between Shanxi Province and the North China Plain,spanning Beijing,Hebei,Shanxi,and Henan provinces and cities.The mountains extend from northeast to southwest for over 400 km,naturally deviding the second step from the third one in China.The southeastern area of Taihang Mountains specifically refers to Changzhi City and Jincheng Administrative Region of Shanxi Province.Given Shanxi Province’s robust development plans for the southeast area of Taihang Mountains,the medicinal plant resources in this area will be affected.Therefore,it is imperative and urgent to conduct a comprehensive investigation and study on the medicinal plant resources in the southeast area of Taihang Mountains.By means of field investigation,literature review,and specimen identification,the plant resources and diversity of two counties in the southeast of Taihang Mountains were evaluated.The findings revealed 234 plants species across 172 genera in 70 families,primarily comprising angiosperms.The families with more species included Compositae,Leguminosae,Rosaceae,Labiatae,Ranunculaceae.Among the genera,those with more species were Cynanchum,Selaginella,Clematis,Thalictrum,and Rhamnus.A total of 114 medicinal plants were identified,constituting 48.72%of the total.Regarding medicinal parts,the concentration is in roots and rhizomes,followed by whole plants and fruits.On the basis of investigation and study,some suggestions on the development,utilization,and protection of medicinal plant resources in southeast Taihang Mountains were made.These suggestions provide valuable insights for the study on medicinal plant resources and vegetation in the southeast of Taihang Mountains,serving as a scientific basis for the protection and sustainable utilization of wild medicinal plant resources.展开更多
Mountain streams act as conveyors of sediments within the river continuum,where the physical transport of sediments between river reaches through the catchment or between individual parts(e.g.,between hillslopes and c...Mountain streams act as conveyors of sediments within the river continuum,where the physical transport of sediments between river reaches through the catchment or between individual parts(e.g.,between hillslopes and channels)of the catchment is assumed.This study focused on sediment connectivity analysis in the SlavíčRiver catchment in the MoravskoslezskéBeskydy Mts in the eastern part of the Czech Republic.The connectivity index and connectivity index target modelling were combined with an analysis of anthropogenic interventions.Additionally,field mapping,grain size of bed sediments and stream power analysis were used to obtain information about connectivity in the catchment.Based on the analysis and obtained results,terrain topography is the current main driving factor affecting the connectivity of sediment movement in the SlavíčRiver catchment.However,the modelling provided valuable information about high sediment connectivity despite different recent land use conditions(highly forested area of the catchment)than those in historical times from the 16th to 19th centuries when the SlavíčRiver catchment was highly deforested and sediment connectivity was probably higher.The analysis of anthropogenic interventions,field mapping,grain size of bed sediments and stream power analysis revealed more deceleration of sediment movement through the catchment,decreased sediment connectivity with bed erosion,and gradual river channel process transformation in some reaches.Field mapping has identified various natural formations and human-induced changes impacting the longitudinal and lateral connectivity in the SlavíčRiver.For instance,embankments along 48%of the river's length,both on the right and left banks,significantly hinder lateral sediment supply to the channel.Stream power index analysis indicates increased energy levels in the flowing water in the river's upper reaches(up to 404.8 W m^(-2)).This high energy is also observed in certain downstream sections(up to 337.6 W m^(-2)),where it is influenced by human activities.These conditions lead to intensified erosion processes,playing a crucial role in sediment connectivity.Similar observations were described in recent studies that pointed out the long-term human interventions on many streams draining European mountains,where a decrease in sediment connectivity in these streams is linked with sediment deficits and the transformation of processes forming channels.展开更多
针对无人驾驶车辆路径规划问题,基于快速扩展随机树(rapidly-exploring random tree,RRT)算法,提出了1种5次多项式曲线(quintic polynomial curve)与MT-RRT(multi-targeting rapidly-exploring random tree)的融合算法,即QPC-MT-RRT算...针对无人驾驶车辆路径规划问题,基于快速扩展随机树(rapidly-exploring random tree,RRT)算法,提出了1种5次多项式曲线(quintic polynomial curve)与MT-RRT(multi-targeting rapidly-exploring random tree)的融合算法,即QPC-MT-RRT算法。该算法根据无人驾驶车辆路径规划的相关理论,建立无人驾驶车辆路径规划问题的车辆运动学模型,为规划无人驾驶车辆最优、最高效、最安全路径提供理论依据。将上述算法在MATLAB上仿真,并在平均路径长度、平均路径规划时间、平均采样节点个数及节点利用率4个方面与基本RRT算法及MT-RRT算法进行了对比。仿真结果表明:5次多项式曲线与MT-RRT算法的融合算法具有最高的性能,可以规划出最优路径。展开更多
文摘Taihang Mountains are situated between Shanxi Province and the North China Plain,spanning Beijing,Hebei,Shanxi,and Henan provinces and cities.The mountains extend from northeast to southwest for over 400 km,naturally deviding the second step from the third one in China.The southeastern area of Taihang Mountains specifically refers to Changzhi City and Jincheng Administrative Region of Shanxi Province.Given Shanxi Province’s robust development plans for the southeast area of Taihang Mountains,the medicinal plant resources in this area will be affected.Therefore,it is imperative and urgent to conduct a comprehensive investigation and study on the medicinal plant resources in the southeast area of Taihang Mountains.By means of field investigation,literature review,and specimen identification,the plant resources and diversity of two counties in the southeast of Taihang Mountains were evaluated.The findings revealed 234 plants species across 172 genera in 70 families,primarily comprising angiosperms.The families with more species included Compositae,Leguminosae,Rosaceae,Labiatae,Ranunculaceae.Among the genera,those with more species were Cynanchum,Selaginella,Clematis,Thalictrum,and Rhamnus.A total of 114 medicinal plants were identified,constituting 48.72%of the total.Regarding medicinal parts,the concentration is in roots and rhizomes,followed by whole plants and fruits.On the basis of investigation and study,some suggestions on the development,utilization,and protection of medicinal plant resources in southeast Taihang Mountains were made.These suggestions provide valuable insights for the study on medicinal plant resources and vegetation in the southeast of Taihang Mountains,serving as a scientific basis for the protection and sustainable utilization of wild medicinal plant resources.
基金supported by an internal grant of the University of Ostrava[SGS10/PřF/2021-Specificity of fluvial landscape in the context of historical and future changes].
文摘Mountain streams act as conveyors of sediments within the river continuum,where the physical transport of sediments between river reaches through the catchment or between individual parts(e.g.,between hillslopes and channels)of the catchment is assumed.This study focused on sediment connectivity analysis in the SlavíčRiver catchment in the MoravskoslezskéBeskydy Mts in the eastern part of the Czech Republic.The connectivity index and connectivity index target modelling were combined with an analysis of anthropogenic interventions.Additionally,field mapping,grain size of bed sediments and stream power analysis were used to obtain information about connectivity in the catchment.Based on the analysis and obtained results,terrain topography is the current main driving factor affecting the connectivity of sediment movement in the SlavíčRiver catchment.However,the modelling provided valuable information about high sediment connectivity despite different recent land use conditions(highly forested area of the catchment)than those in historical times from the 16th to 19th centuries when the SlavíčRiver catchment was highly deforested and sediment connectivity was probably higher.The analysis of anthropogenic interventions,field mapping,grain size of bed sediments and stream power analysis revealed more deceleration of sediment movement through the catchment,decreased sediment connectivity with bed erosion,and gradual river channel process transformation in some reaches.Field mapping has identified various natural formations and human-induced changes impacting the longitudinal and lateral connectivity in the SlavíčRiver.For instance,embankments along 48%of the river's length,both on the right and left banks,significantly hinder lateral sediment supply to the channel.Stream power index analysis indicates increased energy levels in the flowing water in the river's upper reaches(up to 404.8 W m^(-2)).This high energy is also observed in certain downstream sections(up to 337.6 W m^(-2)),where it is influenced by human activities.These conditions lead to intensified erosion processes,playing a crucial role in sediment connectivity.Similar observations were described in recent studies that pointed out the long-term human interventions on many streams draining European mountains,where a decrease in sediment connectivity in these streams is linked with sediment deficits and the transformation of processes forming channels.
文摘针对无人驾驶车辆路径规划问题,基于快速扩展随机树(rapidly-exploring random tree,RRT)算法,提出了1种5次多项式曲线(quintic polynomial curve)与MT-RRT(multi-targeting rapidly-exploring random tree)的融合算法,即QPC-MT-RRT算法。该算法根据无人驾驶车辆路径规划的相关理论,建立无人驾驶车辆路径规划问题的车辆运动学模型,为规划无人驾驶车辆最优、最高效、最安全路径提供理论依据。将上述算法在MATLAB上仿真,并在平均路径长度、平均路径规划时间、平均采样节点个数及节点利用率4个方面与基本RRT算法及MT-RRT算法进行了对比。仿真结果表明:5次多项式曲线与MT-RRT算法的融合算法具有最高的性能,可以规划出最优路径。