Hydrographic and landscape description of a river basin based on GIS- and geographic data

被引:0
|
作者
B. I. Gartsman
机构
[1] Russian Academy of Sciences,Pacific Institute of Geography, Far Eastern Division
来源
关键词
River Basin; RUSSIAN Meteorology; River Network; Digital Terrain Model; Amur River Basin;
D O I
暂无
中图分类号
学科分类号
摘要
The description of a river basin is the obligatory section of any project or scientific-and-application work in the area of hydrology, hydraulic engineering, and related problem areas. Present-day methods of the analysis of the territory including the description of a river basin should be based on the use of GIS-techniques and of the broad array of geographic data. This especially concerns mediumscale digital terrain models that are widely used at present, as well as the layers containing climatic and landscape information. Altogether this gives the principally new technological basis of the analysis, by many times increases the potential of obtaining detailed quantitative data on the morphometry and landscape structure of a basin, and provides the technical possibility of using the achievements of the structural and hydrographic analysis of river systems and of the landscape-hydrological approach.
引用
收藏
页码:407 / 415
页数:8
相关论文
共 50 条
  • [41] Optimization of landscape pattern in the main river basin of Liao River in China based on ecological network
    Jing, Mengqi
    Song, Fei
    Meng, Kexin
    Su, Fangli
    Wei, Chao
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (24) : 65587 - 65601
  • [42] Optimization of landscape pattern in the main river basin of Liao River in China based on ecological network
    Mengqi Jing
    Fei Song
    Kexin Meng
    Fangli Su
    Chao Wei
    [J]. Environmental Science and Pollution Research, 2023, 30 : 65587 - 65601
  • [43] Simulation-based Evaluation of Hydrographic Data Analysis for Dune Tracking on the River Rhine
    Lorenz, Felix
    Artz, Thomas
    Brueggemann, Thomas
    Reich, Julius
    Weiss, Robert
    Winterscheid, Axel
    [J]. PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2021, 89 (02): : 111 - 120
  • [44] Landscape genetic analysis of the tropical freshwater fish Mogurnda mogurnda (Eleotridae) in a monsoonal river basin: importance of hydrographic factors and population history
    Cook, Benjamin D.
    Kennard, Mark J.
    Real, Kathryn
    Pusey, Bradley J.
    Hughes, Jane M.
    [J]. FRESHWATER BIOLOGY, 2011, 56 (05) : 812 - 827
  • [45] GIS-based risk assessment of flood disaster in the Lijiang River Basin
    Li, Ziwei
    Tang, Xiangling
    Li, Liju
    Chu, Yanqi
    Wang, Xingming
    Yang, Dishan
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [46] GIS-based risk assessment of flood disaster in the Lijiang River Basin
    Li Ziwei
    Tang Xiangling
    Li Liju
    Chu Yanqi
    Wang Xingming
    Yang Dishan
    [J]. Scientific Reports, 13
  • [47] Retraction Note: Landscape simulation of small towns along Huaihe River based on geographic information system and big data analysis
    Chun Ou
    Xiamei Yao
    Yuanyuan Chen
    [J]. Arabian Journal of Geosciences, 2021, 14 (23)
  • [48] Erosion Analysis of Kozlu River Basin with the GIS Based a Modified RUSLE Method
    Ekinci, Deniz
    [J]. JOURNAL OF GEOGRAPHY-COGRAFYA DERGISI, 2005, (13): : 109 - 119
  • [49] GIS-Based Surface Irrigation Potential Assessment for Ethiopian River Basin
    Birhanu, Asfaw
    Murlidhar Pingale, Santosh
    Soundharajan, Bankaru-Swamy
    Singh, Pratap
    [J]. IRRIGATION AND DRAINAGE, 2019, 68 (04) : 607 - 616
  • [50] Control Unit Zoning for Liaohe River Basin in Liaoning Province Based on GIS
    Wang, Jian
    Yu, Yingtan
    Li, Fayun
    Hou, Wei
    Hu, Cheng
    Tang, Dayuan
    Zhang, Yuan
    Feng, Yongxin
    [J]. ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 1123 - 1127