首页|Regional differences in gully network connectivity based on graph theory:a case study on the Loess Plateau,China

Regional differences in gully network connectivity based on graph theory:a case study on the Loess Plateau,China

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
Material exchange frequently occurs in gullies,and thus the relationship between a gully-network structure and sediment transport potential has attracted considerable interest.However,previous researches ignored the difficulty of material transport from sources to sinks,and did not quantify the connectivity of a network structure.In this study,we used a graph model structure to model gully networks of six typical sample areas in the Loess Plateau of China and quantified gully network connectivity using four indexes:average node strength,accessibility from sources to sinks,potential flow,and network structural connectivity index.Results show that:(1)Reflected by different quantitative indexes,the trends of gully network connectivity in different regions are similar.From north to south,the connectivity of a sample area first increases and then decreases.(2)The more mature gullies have stronger network connectivity.Small resistance is conducive to material transport in the gullies.(3)The node connectivity index of the gully network shows a significant aggregation distribution in space,and node connectivity on the main channel is often stronger than that on the branch trench.These results not only deepen the understanding of the process and mechanism of loess gully geomorphic development and evolution but also provide a reference for geomorphic studies.

Graph theoryGully networkLoess PlateauConnectivityRegional difference

CHENG Jian-hua、LUO Lan-hua、LI Fa-yuan、LIU Lu-lu、CUI Ling-zhou

展开 >

School of Geography,Nanjing Normal University,Nanjing 210023,China

Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210023,China

Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing Normal University,Nanjing 210023,China

School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China

College of Life and Environmental Science,Wenzhou University,Wenzhou 325035,China

展开 >

National Natural Science Foundation of ChinaNational Natural Science Foundation of China

4227142141930102

2023

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSTPCDCSCD
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2023.20(4)
  • 5