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Slope spectrum variation in a simulated loess watershed

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Abstract

A simulated loess watershed, where the loess material and relief properly represent the true loess surface, is adopted to investigate the variation in slope spectrum with loess watershed evolution. The evolution of the simulated loess watershed was driven by the exogenetic force of artificial rainfall. For a period of three months, twenty artificial rainfall events with different intensities and durations were carried out. In the process, nine DEM data sets, each with 10 mm grid resolution, were established by the method of close-range photogrammetry. The slope spectra were then extracted from these DEMs. Subsequent series of carefully designed quantitative analyses indicated a strong relationship between the slope spectrum and the evolution of the simulated loess watershed.

Quantitative indices of the slope spectrum varied regularly following the evolution of the simulated loess watershed. Mean slope, slope spectrum information entropy (H), terrain driving force (T d ), Mean patch area (AREA_MN), Contagion Index (CONTAG), and Patch Cohesion Index (COHESION) kept increasing following the evolution of the simulated watershed, while skewness (S), Perimeter-Area Fractal Dimension (PAFRAC), and Interspersion and Juxtaposition Index (IJI) represented an opposite trend. All the indices changed actively in the early and active development periods, but slowly in the stable development periods. These experimental results indicate that the time series of slope spectra was able to effectively depict the slope distribution of the simulated loess watershed, thus presenting a potential method for modeling loess landforms.

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Authors and Affiliations

  1. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing, 210023, China

    Fayuan Li & Guoan Tang

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

    Fayuan Li & Guoan Tang

  3. Land Information Engineering Department, Chuzhou University, Chuzhou, 239000, China

    Chun Wang

  4. College of Life and Environment Science, Wenzhou University, Wenzhou, 325035, China

    Lingzhou Cui

  5. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China

    Rui Zhu

Authors
  1. Fayuan Li
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  2. Guoan Tang
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  3. Chun Wang
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  4. Lingzhou Cui
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  5. Rui Zhu
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Correspondence to Fayuan Li.

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Li, F., Tang, G., Wang, C. et al. Slope spectrum variation in a simulated loess watershed. Front. Earth Sci. 10, 328–339 (2016). https://doi.org/10.1007/s11707-015-0519-2

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  • DOI: https://doi.org/10.1007/s11707-015-0519-2

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