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Site-specific decision-making based on RTK GPS survey and six alternative elevation data sources: soil erosion predictions.

机译:基于RTK GPS调查和六个备选海拔数据源的特定地点决策:土壤侵蚀预测。

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摘要

Precision farming equipment based on Global Positioning Systems (GPS) enables landowners to gather spatially distributed topographic data in real-time kinematic (RTK) mode, which has the potential to be used in addition to or as substitute for commonly available topographic data sources (e.g., U.S. Geological Survey (USGS) topographic contour lines and/or digital elevation models). The latter are considered insufficiently accurate in their topographical representation of watershed boundaries, slopes, and upslope contributing areas to be able to meaningfully apply detailed process-based soil erosion assessment tools at the field scale. In this second of two articles discussing the usefulness of the available data sets from a decision-maker's perspective, the same comprehensive accuracy tests that were used for these topographical parameters are applied to the spatially distributed soil erosion assessment results simulated by the Water Erosion Prediction Project (WEPP) model supported by Geographic Information Systems (GIS). The impact of the accuracy of six alternative topographical data sources on predicting soil erosion rates using WEPP is compared to on-site soil erosion predictions using elevation measurements from a survey-grade RTK GPS with centimeter accuracy. Results show that the more precise topographic measurements with a photogrammetric survey or any differential GPS units yield more precise on-site soil loss predictions for individual raster cells (0.01 ha) and hillslope areas of interest (0.5 ha). However, the best WEPP predictions for average annual off-site runoff (-18.3% error) and sediment yield (-2.7% error) from upslope contributing areas of about 4 ha within the 30 ha watershed were achieved using the USGS 10 ft contours. These results demonstrate that in this case, the runoff and sediment yield predictions using DEMs based on the commonly available contour lines can be even better than those from the more precise and costly topographic data sets. The contours also allowed successful application of the WEPP model to identify all 11 hillslope areas of interest (0.5 ha) with soil loss (10) or deposition (1) problems that were initially mapped in the field as larger rills and sedimentation areas, respectively.
机译:基于全球定位系统(GPS)的精密农用设备使土地所有者能够以实时运动(RTK)模式收集空间分布的地形数据,这有可能被补充或替代常用的地形数据源(例如,美国地质调查局(USGS)的地形轮廓线和/或数字高程模型)。后者被认为在流域边界,坡度和上坡贡献区域的地形表示中不够准确,因此无法在野外尺度上有意义地应用基于过程的详细土壤侵蚀评估工具。在两篇文章的第二篇中,从决策者的角度讨论了可用数据集的实用性,将用于这些地形参数的相同的综合精度测试应用于“水蚀预测项目”模拟的空间分布土壤侵蚀评估结果(WEPP)模型由地理信息系统(GIS)支持。将六个替代地形数据源的准确性对使用WEPP预测土壤侵蚀速率的影响与使用调查级RTK GPS的厘米级精度的高程测量结果对现场土壤侵蚀的预测进行了比较。结果表明,使用摄影测量法或任何差分GPS单位进行更精确的地形测量,可以更准确地预测单个栅格单元(0.01公顷)和目标坡地(0.5公顷)的土壤流失。但是,使用USGS 10英尺等高线,可以得出最佳的WEPP预测,即在30公顷的流域内,约4公顷的上坡贡献区域的年均场外径流量(-18.3%误差)和沉积物产量(-2.7%误差)。这些结果表明,在这种情况下,基于常用轮廓线使用DEM进行的径流和泥沙产量预测甚至可能比来自更精确和昂贵的地形数据集的径流和泥沙产量预测更好。轮廓线还允许成功地使用WEPP模型来识别所有11个感兴趣的山坡区域(0.5公顷),其中有土壤流失(10)或沉积(1)问题,这些问题最初分别映射为较大的小溪和沉积区。

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