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Identifying the Stream Erosion Potential of Cave Levels in Carter Cave State Resort Park, Kentucky, USA

机译:确定美国肯塔基州卡特洞穴州立度假公园的洞穴水位侵蚀潜力

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Cave levels, passages found at similar elevations and formed during the same constant stream base level event, reveal information about paleoclimates and karst geomorphology. The investigation presented here examines how Stream Power Index (SPI) relates to cave levels. The study area, Carter Caves State Resort Park (CCSRP), is a fluviokarst system in northeastern Kentucky containing multiple cave levels. SPI determines the erosive power overland flow based on the assumption that flow accumulation and slope are proportional to potential for sediment entrainment. Part of this digital terrain analysis requires the creation of a flow accumulation raster from a digital elevation model (DEM). In creating the flow accumulation raster, one has the option to fill depressions (also considered errors) within the DEM. Filling these depressions, or “sinks,” creates a well-connected stream network; however it also removes possible sinkholes from the DEM. This paper also investigates the effects a filled and an unfilled DEM have on SPI and what each reveals about erosion potential in the area. The data shows that low elevations within the filled DEM maintain a high SPI value when compared to the unfilled DEM. The filled DEM also created a stream network similar to reality. The unfilled DEM demonstrated similar SPI results between all levels, indicating a well-connected karst system. In order to truly understand the mechanics of this system, a combination of these two DEMs is required.
机译:洞穴水位,在相似高度处发现并在相同的恒定水流基水位事件期间形成的通道揭示了有关古气候和岩溶地貌的信息。此处进行的调查研究了流功率指数(SPI)与洞穴水位的关系。研究区域卡特洞穴国家度假公园(CCSRP)是肯塔基州东北部的一个潮汐岩溶系统,包含多个洞穴级别。 SPI根据流量累积和坡度与夹带沉积物的潜力成正比的假设确定陆上侵蚀力。这种数字地形分析的一部分要求从数字高程模型(DEM)创建流量累积栅格。在创建流量累积栅格时,可以选择填充DEM中的凹陷(也称为错误)。填补这些洼地或“水槽”会形成一个连接良好的河流网络。但是,它也消除了DEM中可能出现的凹陷。本文还研究了填充的和未填充的DEM对SPI的影响,以及它们各自揭示出该地区的侵蚀潜力。数据显示,与未填充的DEM相比,填充的DEM内的低海拔保持较高的SPI值。填充的DEM还创建了类似于现实的流网络。未填充的DEM在所有级别之间均显示出类似的SPI结果,表明喀斯特系统连接良好。为了真正理解该系统的机制,需要将这两个DEM组合在一起。

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