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The connections between rivers and their watersheds over multiple scales.

机译:河流及其流域之间的联系跨越了多个尺度。

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This research explores the interactions between a watershed and its river by examining how watersheds influence river discharge at a variety of spatial scales. Discharge in a river channel grows as drainage basin area increases following the general equation: Q = kAc, where Q is river discharge, k is a measure of river base flow, A is upstream drainage area, and c is the scaling power dependency. Land use is a critical variable in the examination of river discharge, with discharge having significant geologic and ecologic influences on fluvial systems. Discharge is assumed to scale linearly or nearly linearly with drainage area (c∼1), but in spite of its widespread application the relationship has not been explicitly tested with respect to urbanization. Here we show that in small, urban settings the scaling is nonlinear for peak flows. These higher discharges in urban rivers have the potential to increase erosion, degrade aquatic habitats, and significantly alter channel forms. From historic aerial photographs, a majority of the measured widths (67 of 85) were statistically wider in 1999 than in 1947 on the urban Little Lehigh Creek, while the widths from rural Sacony Creek are more evenly distributed among those that widened, narrowed, and those that were statistically unchanged. This research also investigates the nature of the scaling relationship between discharge and drainage area across a wider geographic area by examining five large, undammed main-stem rivers (John Day, Salmon, Wabash, Greenbrier, and Yellowstone) and one river with extensive dams, the Colorado River. The John Day, Salmon, Wabash, Greenbrier rivers scale at values of ∼0.8, and variables including slope, elevation, and evapotranspiration may account for the decrease in c values from 1. The Yellowstone watershed's c value of ∼0.5 decreases over time, possibly through climatic factors, while the c value Colorado River has been influenced by dams. The results from this small set of rivers have implications for the ability to model landscape evolution through river erosion.
机译:这项研究通过研究流域如何在各种空间尺度上影响河流流量来探索流域与其河流之间的相互作用。河流流域的排水量随流域面积的增加而增加,其公式如下:Q = kAc,其中Q为河流流量,k为河流基流的量度,A为上游流域面积,c为水垢功率依存性。土地使用是检查河流流量的关键变量,流量对河流系统具有重大的地质和生态影响。假定排水量与流域面积(c〜1)成线性关系或几乎呈线性关系,但尽管得到了广泛应用,但尚未明确检验城市化关系。在这里,我们表明,在小型城市环境中,峰值流量的缩放比例是非线性的。城市河流中的这些较高的排放量可能会增加侵蚀,破坏水生生境并显着改变河道形式。从历史航拍照片看,1999年在Little Lehigh Creek市区测得的大部分宽度(85个中的67个)在统计学上比1947年更宽,而从Sacoy Creek乡村出发的宽度在变宽,变窄和变窄的宽度中分布更均匀。那些在统计上没有变化的。这项研究还通过检查5条未受污染的大型主干河(John Day,Salmon,Wabash,Greenbrier和Yellowstone)和一条有大坝的河流,研究了更广阔地理区域的排水面积比例关系的性质。科罗拉多河。 John Day,Salmon,Wabash和Greenbrier河流的水垢量约为0.8,包括坡度,海拔和蒸散量在内的变量可能会导致c值从1降低。黄石流域的c值随时间的推移而降低至0.5。由于气候因素,科罗拉多河的C值受到大坝的影响。这套小型河流的结果对通过河流侵蚀进行景观演变建模的能力产生了影响。

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