Problems of spatially distributed quantitative evaluation of soil erosion losses

Oleksandr Svіtlуchnyi, Alla Piatkova
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Abstract

Formulation of the problem. Water erosion of soils is the most widespread and dangerous soil degradation process in Ukraine. The development of an effective system of soil protection measures requires the use of spatially distributed mathematical models of soil erosion losses. This, in turn, highlights the problem of spatially distributed source data, which adequately reflect the spatial differentiation of factors of the erosion process, among which the main one is the relief. The purpose of the article. Assessing the adequacy of available spatially distributed source data, including cartographic and freely distributed global digital elevation models (DEMs), for spatially distributed quantitative assessment of soil erosion losses at the local level of territorial coverage is the aim of the article. Assessing from this point of view the scale of the original cartographic data, different global DEMs and their spatial resolution, as well as the degree of spatial generalization of the original data. Materials and methods. The solution of the set tasks was performed by the method of simulation modeling with the use of physical-statistical GIS-realized mathematical model of soil erosion-accumulation, developed at Odessa I. I. Mechnikov National University. Source data arrays were tested with DEMs SRTM90 and SRTM30 with a spatial resolution of 3 and 1 angular seconds, respectively, and AW3D30 with a spatial resolution of 1 angular second, as well as with cartographic DEMs based on topographic maps of scale 1:10000 and 1:25000. For testing the initial data, three test plots with an area of 2.67, 0.59 and 0.21 km2 were selected. The plots are located in the Balta district of Odessa region on the southern spurs of the Podolska upland. Results. It is established that freely distributed global digital elevation models SRTM and AW3D30 in the conditions of flat terrain do not always allow to adequately display the structure of slope runoff and, accordingly, to correctly perform calculations of soil erosion losses. The maximum deviation of the average soil erosion losses calculated for the test plots using global DEMs from the soil losses calculated using the reference DEM for SRTM30 and AW3D30 was 27%, for SRTM90 – almost 70%. The distribution of soil losses over the area of test plots obtained using different global DEMs differs even more. When using DEM based on topographic maps, reducing the scale of the original maps from 1: 10000 to 1: 25000 leads to a decrease in the average value of soil erosion losses by about 20% due mainly to reducing the magnitude and area of distribution of maximum soil losses, and on slopes of complex shape also due to changes in the area of accumulation zones. The degree of spatial generalization of the initial data significantly affects the results of the assessment of soil erosion losses both in relation to the average values and their distribution over the area. For small areas, the use of raster cells larger than 50 m is impractical. Scientific novelty and practical significance. It has been shown for the first time that in the conditions of flat terrain at the local level of spatial coverage, the freely distributed global DEM SRTM and AW3D30 are not always hydrologically correct. The reasons and conditions of violation of this correctness are specified. It has been established that the global DEM AW3D30 has local instrumental errors that may make it impossible to use it. The most realistic values of soil erosion losses are provided by DEM SRTM with a spatial resolution of 1 angular second.
空间分布的土壤侵蚀损失定量评价问题
问题的表述。水土流失是乌克兰最普遍和最危险的土壤退化过程。建立有效的土壤保护措施体系需要利用空间分布的土壤侵蚀损失数学模型。这又凸显了源数据空间分布的问题,源数据充分反映了侵蚀过程因子的空间分异,其中最主要的是地形起伏。文章的目的。本文的目的是评估可用的空间分布源数据的充分性,包括地图和自由分布的全球数字高程模型(dem),用于在地方领土覆盖水平上对空间分布的土壤侵蚀损失进行定量评估。从这个角度评估原始制图数据的比例尺、不同全球dem及其空间分辨率,以及原始数据的空间概化程度。材料和方法。利用敖德萨梅奇尼科夫国立大学开发的物理统计gis实现的土壤侵蚀积累数学模型,通过模拟建模的方法对设置的任务进行求解。源数据阵列分别使用空间分辨率为3角秒的dem SRTM90和1角秒的dem SRTM30,空间分辨率为1角秒的dem AW3D30,以及基于1:10000和1:25000比例尺地形图的制图dem进行测试。对初始数据进行检验,选取面积分别为2.67、0.59和0.21 km2的3个试验样地。这些地块位于敖德萨地区的巴尔塔区,位于波多尔斯卡高地的南缘。研究发现,在平坦地形条件下,自由分布的全球数字高程模型SRTM和AW3D30并不总是能够充分显示坡面径流的结构,因此不能正确计算土壤侵蚀损失。SRTM30和AW3D30参考DEM计算的样地平均水土流失量与SRTM90参考DEM计算的土壤流失量最大偏差为27%,SRTM90参考DEM计算的土壤流失量最大偏差接近70%。不同全球dem测得的试验地块面积土壤流失量分布差异更大。在使用基于地形图的DEM时,将原始地图的比例尺从1:10 000降低到1:25 000,导致土壤侵蚀损失的平均值降低了约20%,这主要是由于最大土壤流失量的大小和分布面积的减小,而在形状复杂的斜坡上,堆积带面积的变化也是原因之一。初始数据的空间概化程度对土壤侵蚀损失的均值及其在区域内的分布都有显著影响。对于小区域,使用大于50米的栅格单元是不切实际的。具有科学新颖性和现实意义。首次证明了在局部平坦地形条件下,自由分布的全球DEM SRTM和AW3D30在水文上并不总是正确的。说明了违反这种正确性的原因和条件。已经确定,全球DEM AW3D30存在局部仪器误差,可能使其无法使用。DEM SRTM提供了最真实的土壤侵蚀损失值,空间分辨率为1角秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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