Abstract LiDAR-based predictions of flow channels through riparian buffer zones
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LiDAR-based predictions of flow channels through riparian buffer zones

机译:基于LiDAR的河岸缓冲区流道预测

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Abstract Riparian buffer zones (RBZs) are critical for protecting stream water quality. High Resolution Light Detection and Ranging (LiDAR) data provides a way to locate channels where water can flow through a RBZ and into a stream. The objectives of this study were to characterize flow channels through riparian buffer zones around Lake Issaqueena, SC, USA, using LiDAR topography models and to validate these predictions using field observations of channel presence, soil moisture content and soil temperature. A LiDAR derived digital elevation model (DEM) was utilized to define flow channels and determine forty sample locations. Analysis indicated channel locations and the presence of large forested buffers generally 10m or greater in the study area. High flow accumulation channels can be accurately predicted by LiDAR data, but lower flow channels were less accurately estimated. Surface soil temperature measurements were relatively uniform showing no difference between predicted channel and control locations. Presented methodologies can serve as a template for future efforts to quantify riparian buffers and their effects on protecting water quality.
机译: 摘要 河岸缓冲区(RBZ)对于保护溪流水质至关重要。高分辨率光检测和测距(LiDAR)数据提供了一种定位水可以流经RBZ并流入河流的通道的方法。这项研究的目的是使用LiDAR地形图模型表征通过在美国南卡罗来纳州伊萨奎纳湖周围的河岸缓冲带形成的水流通道,并通过现场观察通道的存在,土壤含水量和土壤温度来验证这些预测。利用LiDAR衍生的数字高程模型(DEM)来定义流道并确定40个样本位置。分析表明通道位置和研究区域中通常存在10 m或更大的大森林缓冲区的存在。可以通过LiDAR数据准确预测高流量积累通道,而较低流量通道的估算则不够准确。地表土壤温度测量相对均匀,表明预测的通道和控制位置之间没有差异。提出的方法可以作为未来量化河岸缓冲液及其对保护水质影响的模板。

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