![]() ![]() Calculating catchment area with divergent flow based on a regular grid. Acta Geodaetica et Cartographica Sinica, 35(3): 278–284. Three dimensional Douglas-Peucker algorithm and the study of its application to automated generalization of DEM. Water Resources Research, 27(5): 709–717.įei Lifan, He Jin, Ma Chenyan et al., 2006. Drainage networks from grid elevation models. Soil Science Society of America, 71(4): 1371–1380.įairfield J, Leymarie P, 1991. Digital elevation accuracy and grid cell size: Effects on estimated terrain attributes. John Wiley & Sons Press, 311–330.Įrskine R H, Green T R, Ramirez J A et al., 2007. Terrain Analysis: Principles and Application. Shallow landslide delineation for steep forest watersheds based on topographic attributes and probability analysis, In: Wilson J P, Gallant J C (eds.). Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas. Journal of Huaqiao University (Natural Science), 25(1): 79–82.Ĭosta-cabral M C, Burges S J, 1994. Analysis of slope change atlas drawing from digital elevation models of different spatial scales. Hydrological Processes, 19: 621–628.Ĭhen Yan, Tang Guoan, Qi Qingwen, 2004. Effects of DEM data resolution on SWAT output uncertainty. Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO 3-N loads predictions. With the advantages of no empirical parameters, the scaling model could be considered as a simple and objective model for SCA scaling in a rugged drainage area.Ĭhaplot V, 2005. Experiment results show that the downscaled SCA was well revised, and consistent with SCA at the target resolution with respect to the statistical indexes, histogram and spatial distribution. The scaling model can realize the conversion of SCA value from a coarse DEM resolution to a finer one at pixel level. Then, a downscaling model of SCA is put forward by introducing the scale factor and the location factor. The scale effect of CA can be concluded as a mathematic trend of exponential decline. ![]() When the location is close to downstream areas the impact of DEM scale on CA is gradually weakening. CA value in upslope location becomes bigger with the decrease of the DEM resolution. ![]() With Jiuyuangou Gully, a watershed about 70 km 2 in northern Shaanxi Province of China, as the test area, it is found that the impacts of DEM scale on CA are different in spatial distribution. In this paper, the scale effect of CA is firstly investigated. SCA can be described as the ratio of Catchment Area (CA) and DEM grid length. However, SCA value changes significantly at different DEM resolutions, which inevitably affect terrain analysis results. As one of the key terrain parameters, it is widely used in the modeling of hydrology, soil erosion and ecological environment. those documents other than research articles, reviews and conference papers.Specific Catchment Area (SCA) is defined as the upstream catchment area of a unit contour. Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. journal self-citations removed) received by a journal's published documents during the three previous years.Įxternal citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.Įvolution of the number of total citation per document and external citation per document (i.e. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.Įarth and Planetary Sciences (miscellaneous) The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles.
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