Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)
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Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of beta, β, and the variability in streamflow, Q (Lapides et al., In Review, https://eartharxiv.org/mc6np/). This resource includes the empirical basis for the study and data compiled from the literature and maps. 1 - Channel length survey data (csv files) 2 - Discharge time series data (csv files) 3 - Watershed metadata (csv file) 4 - Blueline network files (pdf, png, and shp files) This collection includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find alpha, α, and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al., 2014). Data for 14 watersheds worldwide are included, along with watershed metadata, reference maps, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States. The collection brings data from a variety of agencies worldwide into a common format. Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320
湿态河道网络（wetted channel network）全年动态扩张与收缩。通过对某一流域（catchment）开展全年多频次密集野外踏勘，可直接观测该过程。Godsey等人（2014）提出，湿态河道网络的延展范围与出水口处径流量（discharge）服从幂律（power law）关系：L = αQ^β。基于该幂律关系，本研究构建了一套评估湿态河道延展范围变异性的框架，其以参数β与径流量Q的变异性作为核心影响因子（Lapides等，已投稿待刊，https://eartharxiv.org/mc6np/）。本数据集包含本研究的实证基础数据，以及从公开文献与地图资料中整理得到的配套数据。 1. 河道长度踏勘数据（CSV格式文件） 2. 径流量时序数据（CSV格式文件） 3. 流域元数据（CSV格式文件） 4. 蓝线河道网络（blueline network）文件（包含PDF、PNG及SHP格式文件） 本数据集收录所有满足以下两项条件的流域：至少开展过3次河道长度野外踏勘，且配套有对应的径流量时序数据集。设置至少3次河道长度踏勘的要求，源于Godsey等人（2014）提出的源头流域（headwater catchments）径流量与河道网络长度之间幂律关系的参数α、β求解的数据需求。本数据集共收录全球范围内14个流域的相关数据，同时配套提供流域元数据、参考地图、形状文件，以及针对美国境内目标流域的美国地质调查局（USGS）蓝线河道网络影像与地形合成图。本数据集将全球多家科研机构的异构数据统一为标准格式，实现数据的互通复用。 用于处理本数据集及生成本集合内其他衍生资源的方法，已在上述四类资源的摘要或附加元数据中进行详细说明。用于数据处理、变量计算及图形生成的Python代码可通过以下链接获取：https://zenodo.org/record/4057320
