Slope spectrum variation in a simulated loess watershed

• Published in: Frontiers of earth science 2016-06, Vol.10 (2), p.328-339
• Main Authors: LI, Fayuan, TANG, Guoan, WANG, Chun, CUI, Lingzhou, ZHU, Rui
• Format: Article
• Language: English
• Subjects: Cohesion; Earth and Environmental Science; Earth Sciences; evolution; Geomorphology; Landforms; Loess; loess landform; Mathematical models; Photogrammetry; Research Article; Sediments; simulated watershed; slope spectrum; Soil erosion; Watersheds; 人工降雨; 变化规律; 持续时间; 模拟; 测量方法; 湿陷性黄土地区; 边坡; 频谱
• ISSN: 2095-0195; 2095-0209
• DOI: 10.1007/s11707-015-0519-2

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 10mm 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 （Td）, 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 （IJl） 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 model- ing loess landforms.