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[1]WU Bingxiao,HOU Lei,Song Minmin,et al.Gully Density Analysis Based on Flow Accumulation Method[J].Research of Soil and Water Conservation,2017,24(03):39-44.

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Gully Density Analysis Based on Flow Accumulation Method

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 03 Page number: 39-44 Column: Public date: 2017-06-28

Title:: Gully Density Analysis Based on Flow Accumulation Method

Author(s):: WU Bingxiao, HOU Lei, Song Minmin, WU Faqi; College of Natural Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: gully density; flow accumulation; raster reclassified; grid refinement

CLC:: P931;TP79

DOI:: -

Abstract:: Gully density is an important indicator to assess the impact of surface erosion, soil erosion, landform analysis etc. Based on DEM filling, using surface flow accumulation and raster reclassification analysis principles, we researched the relationship between the number of grids in the channel coverage area and the binarization threshold of the accumulation grids, and selected an appropriate threshold to extract the surface channel. According to the natural surface elevation, the reasonable thresholds were analyzed. Reclasscifying the elevation and relative elevation rasters and thining, we used the binarization results as the product template to optimize the channel extraction results. Finally, we calculated the number of target grids in each 1-km² unit area to qualify the grid raster density of research zone. The results showed that the mean value of surface gully density in Xi’an City is 1.29 km/km² based on DEM with 30 m resolution. In addition to the Yanta District, the results were consistent with previous studies in average gully density of the remaining administrative regions. It certificated that this analytical method can be used to calculate the density of the urban gully effectively and accurately. The results can be used to quantify the characteristic values of the gully density in the study area and reflect the variation trend of the gully density through the gray-scale variation of the grid pixels.

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