Road network is a corridor system that interacts with surrounding landscapes,and understanding their interaction helps to develop an optimal plan for sustainable transportation and land use.This study investigates the...Road network is a corridor system that interacts with surrounding landscapes,and understanding their interaction helps to develop an optimal plan for sustainable transportation and land use.This study investigates the relationships between road centrality and landscape patterns in the Wuhan Metropolitan Area,China.The densities of centrality measures,including closeness,betweenness,and straightness,are calculated by kernel density estimation(KDE).The landscape patterns are characterized by four landscape metrics,including percentage of landscape(PLAND),Shannon′s diversity index(SHDI),mean patch size(MPS),and mean shape index(MSI).Spearman rank correlation analysis is then used to quantify their relationships at both landscape and class levels.The results show that the centrality measures can reflect the hierarchy of road network as they associate with road grade.Further analysis exhibit that as centrality densities increase,the whole landscape becomes more fragmented and regular.At the class level,the forest gradually decreases and becomes fragmented,while the construction land increases and turns to more compact.Therefore,these findings indicate that the ability and potential applications of centrality densities estimated by KDE in quantifying the relationships between roads and landscapes,can provide detailed information and valuable guidance for transportation and land-use planning as well as a new insight into ecological effects of roads.展开更多
长江中游近年洪灾频发,武汉江段更是其防洪重点,开展武汉地区的古洪水研究,从而延长古洪水记录,对洪水预测具有重要意义。本文选取武汉地区河谷沉溺湖区SK10钻孔沉积作为研究对象,运用AMS 14C测年技术厘定地层年代,通过粒度和地球化学...长江中游近年洪灾频发,武汉江段更是其防洪重点,开展武汉地区的古洪水研究,从而延长古洪水记录,对洪水预测具有重要意义。本文选取武汉地区河谷沉溺湖区SK10钻孔沉积作为研究对象,运用AMS 14C测年技术厘定地层年代,通过粒度和地球化学元素的测定与分析,与文献中记录的古洪水频发期进行对比,建立一套适用于长江武汉段古洪水沉积的识别指标,并对长江武汉段距今4.5~2.5 ka的古洪水期进行研究。结果表明:①基于后湖与长江的分布关系,在钻孔沉积中选取粒度指标(P95、砂含量、平均粒径、黏土/粉砂、(粗粉砂+砂)/黏土)和地球化学指标(Na2O、Al2O3、Fe2O3、Rb/Sr、Zr/Rb)作为古洪水频发期识别标志,对武汉地区的洪水频发期沉积有较好的指示作用。②通过指标识别出的古洪水频发期为:2608±30 a BP、2814±35 a BP、3094±35 a BP、3577±35 a BP、3830±35 a BP、3939±35 a BP、4084±35 a BP、4193±35 a BP、4391±35 a BP左右,与文献记录中距今4.5~2.5 ka的几次洪水频发期基本一致。展开更多
基金Under the auspices of National Key Technology Research and Development Program of China(No.2012BAH28B02)
文摘Road network is a corridor system that interacts with surrounding landscapes,and understanding their interaction helps to develop an optimal plan for sustainable transportation and land use.This study investigates the relationships between road centrality and landscape patterns in the Wuhan Metropolitan Area,China.The densities of centrality measures,including closeness,betweenness,and straightness,are calculated by kernel density estimation(KDE).The landscape patterns are characterized by four landscape metrics,including percentage of landscape(PLAND),Shannon′s diversity index(SHDI),mean patch size(MPS),and mean shape index(MSI).Spearman rank correlation analysis is then used to quantify their relationships at both landscape and class levels.The results show that the centrality measures can reflect the hierarchy of road network as they associate with road grade.Further analysis exhibit that as centrality densities increase,the whole landscape becomes more fragmented and regular.At the class level,the forest gradually decreases and becomes fragmented,while the construction land increases and turns to more compact.Therefore,these findings indicate that the ability and potential applications of centrality densities estimated by KDE in quantifying the relationships between roads and landscapes,can provide detailed information and valuable guidance for transportation and land-use planning as well as a new insight into ecological effects of roads.
文摘长江中游近年洪灾频发,武汉江段更是其防洪重点,开展武汉地区的古洪水研究,从而延长古洪水记录,对洪水预测具有重要意义。本文选取武汉地区河谷沉溺湖区SK10钻孔沉积作为研究对象,运用AMS 14C测年技术厘定地层年代,通过粒度和地球化学元素的测定与分析,与文献中记录的古洪水频发期进行对比,建立一套适用于长江武汉段古洪水沉积的识别指标,并对长江武汉段距今4.5~2.5 ka的古洪水期进行研究。结果表明:①基于后湖与长江的分布关系,在钻孔沉积中选取粒度指标(P95、砂含量、平均粒径、黏土/粉砂、(粗粉砂+砂)/黏土)和地球化学指标(Na2O、Al2O3、Fe2O3、Rb/Sr、Zr/Rb)作为古洪水频发期识别标志,对武汉地区的洪水频发期沉积有较好的指示作用。②通过指标识别出的古洪水频发期为:2608±30 a BP、2814±35 a BP、3094±35 a BP、3577±35 a BP、3830±35 a BP、3939±35 a BP、4084±35 a BP、4193±35 a BP、4391±35 a BP左右,与文献记录中距今4.5~2.5 ka的几次洪水频发期基本一致。
