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水土流失会导致生态环境恶化、自然灾害频发,近年来,以水土保持为主要内容的生态环境建设越来越受到关注。本文利用SRTM数据,其分辨率为3弧秒,确定模型所需的各种因子,借助地理信息系统软件Arc GIS空间分析平台,处理研究区域的DEM数据,生成研究区坡度、坡向、地表切割深度和平面曲率图、剖面曲率图。利用对这些因子的分析结果,选择美国通用的水土流失方程(USLE)对研究区域的土壤侵蚀强度进行计算,从而确定了地貌形态特征对土壤水土流失的影响。 相似文献
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The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected. The main objective is to assess and compare the results obtained from three soil erosion models using GIS platform. Variation in the rate of erosion of the three models is compared considering varying slope, soil and land use of the area. Three models selected are Morgan–Morgan–Finney (MMF), Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The best fit or the most reliable model for the study area is selected after validation with the observed sedimentation data. The results give –39.45%, –9.60% and 4.80% difference in the values of sedimentation by MMF, USLE and RUSLE, respectively, from the observed data. Finally, RUSLE model has been found to be most reliable for the study area. 相似文献
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基于RS、GPS和GIS(3S技术)的集成提出了USLE 6大因子的算法,在建立的专题地理信息数据库基础上,运用USLE对深圳市茜坑水库流域的土壤侵蚀强度进行预测和估算.结果表明:整个流域90.5%的区域土壤流失强度为中度以下,强度侵蚀以上的区域虽然仅占整个流域面积的9.5%,但是年土壤侵蚀量达到了整个流域土壤侵蚀量的49.4%.流域土壤侵蚀强度和植被覆盖情况明显相关,茜坑水库流域的东北山区部分是整个流域的严重侵蚀区.研究证明:在3S技术集成支持下,采用USLE对流域的土壤流失强度进行预测和估算的方法具有直观、方便、快捷的优点,成果能充分满足小流域水土保持工作的需要. 相似文献
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ABSTRACT The accurate representation of the Earth’s surface plays a vital role in soil erosion modelling. Topography is parameterized in the Universal Soil Loss Equation (USLE) and Revised USLE (RUSLE) by the topographic (LS) factor. For slope gradients of < 20%, soil loss values are similar for both models, but when the gradient is increased, RUSLE estimates are only half of those of USLE. The study aims to assess the validity of this statement for complex hillslope profiles. To that end, both models were applied at eight diverse mountainous sub-watersheds. The USLE and RUSLE indices were estimated utilizing the SEAGIS model and a European dataset, respectively. LS factors were in a 3:1 ratio (i.e. USLE:RUSLE) considering the entire basin area. For areas with slopes <20%, gross erosion estimates of both models converged. Sites of strong relief (>20%) USLE yielded significantly higher values than RUSLE. 相似文献
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将泥沙输移能力公式与USLE公式相结合,建立了一个简化的分布式小流域产沙模型,并将其应用于川中丘陵区小流域的土壤侵蚀与泥沙输移的空间分布模拟。得到的主要结论:1.该模型适用于川中丘陵区小流域产沙的模拟;2.魏城河流域1980—1987年8 a平均土壤侵蚀量为16.8×104t,侵蚀模数为675.8 t/(km2.a),模拟得到的输沙模数为238.6 t/(km2.a),泥沙输移比为0.35;3.魏城河流域主要以微度侵蚀为主,占到全流域总面积的68%,强度侵蚀占流域面积的1%,主要分布在坡度较陡的流域边缘地带;4.相对其他因子,降雨与坡度对该流域侵蚀产沙的影响更为突出。 相似文献
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K. Meusburger N. KonzM. Schaub C. Alewell 《International Journal of Applied Earth Observation and Geoinformation》2010
The focus of soil erosion research in the Alps has been in two categories: (i) on-site measurements, which are rather small scale point measurements on selected plots often constrained to irrigation experiments or (ii) off-site quantification of sediment delivery at the outlet of the catchment. Results of both categories pointed towards the importance of an intact vegetation cover to prevent soil loss. With the recent availability of high-resolution satellites such as IKONOS and QuickBird options for detecting and monitoring vegetation parameters in heterogeneous terrain have increased. The aim of this study is to evaluate the usefulness of QuickBird derived vegetation parameters in soil erosion models for alpine sites by comparison to Cesium-137 (Cs-137) derived soil erosion estimates. The study site (67 km2) is located in the Central Swiss Alps (Urseren Valley) and is characterised by scarce forest cover and strong anthropogenic influences due to grassland farming for centuries. A fractional vegetation cover (FVC) map for grassland and detailed land-cover maps are available from linear spectral unmixing and supervised classification of QuickBird imagery. The maps were introduced to the Pan-European Soil Erosion Risk Assessment (PESERA) model as well as to the Universal Soil Loss Equation (USLE). Regarding the latter model, the FVC was indirectly incorporated by adapting the C factor. Both models show an increase in absolute soil erosion values when FVC is considered. In contrast to USLE and the Cs-137 soil erosion rates, PESERA estimates are low. For the USLE model also the spatial patterns improved and showed “hotspots” of high erosion of up to 16 t ha−1 a−1. In conclusion field measurements of Cs-137 confirmed the improvement of soil erosion estimates using the satellite-derived vegetation data. 相似文献
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Abstract Soil erosion probability maps were produced under various case scenarios by accounting for uncertainties in the data and in the decision rule, using the Universal Soil Loss Equation (USLE), remote sensing and geographical information systems (GIS). This objective was realized by applying the Bayesian Probability Theory within IDRISI, a raster based GIS. The outcomes were two continuous probability soil erosion maps ranging from zero to 1. Comparing these maps with an earlier study indicates that accounting for the uncertainties has, in general, decreased the probability of soil erosion. Based on average readings for specific sites on the maps, increases in erosion risk under the second case scenario have had the highest impact on the highlands that is in the central, eastern, and northern regions of Langkawi Island, Malaysia. Assuming a 10% risk, this impact has increased by 11.98, 11.83 and 5.741% for high, medium and low soil erosion risk areas on the island respectively. 相似文献
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三江平原不同流域水土流失变化特征分析 总被引：7，自引：2，他引：5
运用地理信息系统(GIS)结合美国通用水土流失方程(USLE),根据研究区现状合理选择USLE中水土流失各因子的计算方法,求算出三江平原1954年、1976年、1986年以及2000年的水土流失状况图。通过与2000年遥感普查结果进行对比,验证了方法的有效性。分别对三江平原六个流域水土流失变化情况进行分析,认为土地利用方式对水土流失有重要影响,农田开发是造成水土流失面积增加、强度增强的主要原因。土地垦荒活动强度降低以及部分旱地改种水田后,水土流失面积增加的幅度明显下降。 相似文献