An Artificial Stream Network and Its Application on Exploring the Effect of DEM Resolution on Hydrological Parameters

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    Abstract

    Digital elevation models (DEM) are widely used in various distributed hydrological models. The stream network can be extracted from it so that runoff routing can be calculated. With the advent of remote sensing and computing technologies, the computation based on DEM with high resolution becomes possible. However, there still exist regions with poor resolution, particularly in developing countries. Previous work only conducted comparisons between results by implementing hydrological models for specific basins in the real world and resolutions were only assigned to several fixed values, such as 30 and 90 m. So, the results derived were thus not in a general sense. To roughly understand how DEM resolution influences the hydrologic response, in this paper, first an artificial stream network of which the principle is originated from fractal theory is constructed. Then by implementing calculation on such artificial networks in an iterative way and performing aggregation, the influence of DEM resolution on several hydrological parameters, namely, the number of basins, drainage density of all basins, total stream length, average stream slope and average topographic index used to assess the spatial distribution of soil saturation of the largest basin can thus be acquired. It is found that DEMs of low resolution would reduce drainage density, total stream length and average stream slope, but would increase topographic index. But the effect is insignificant regarding the number of basins. In the end, the results of the simulation as well as the quality of the fractal terrain are validated by referencing field data.
    Original languageEnglish
    Title of host publicationGeospatial Technologies for All
    Subtitle of host publicationSelected Papers of the 21st AGILE Conference on Geographic Information Science
    EditorsAli Mansourian, Petter Pilesjö, Lars Harrie, Ron van Lammeren
    PublisherSpringer
    Pages75-91
    ISBN (Electronic)978-3-319-78208-9
    ISBN (Print)978-3-319-78207-2
    DOIs
    Publication statusPublished - 2018
    EventAGILE 2018: 21st AGILE Conference on Geographic Information Science - Lund, Sweden
    Duration: 12 Jun 201815 Jun 2018

    Publication series

    NameLecture Notes in Geoinformation and Cartography
    Volumepart F3
    ISSN (Print)1863-2351

    Conference

    ConferenceAGILE 2018: 21st AGILE Conference on Geographic Information Science
    CountrySweden
    CityLund
    Period12/06/1815/06/18

    Keywords

    • Fractal terrain
    • DEM
    • Stream network
    • Hydrological parameter

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