Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)

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. 2021). 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.

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

润湿河网网络在年度内呈现出扩张与收缩的动态变化。通过在全年内对流域进行多次密集的观测，可以直接观察到这一过程。Godsey 等人（2014年）提出，润湿河网网络的广度与出口处的流量成正比关系（L = αQ^β）。基于此关系，我们构建了一个框架，用以评估润湿河网广度的变化，这取决于幂律关系中的β值以及流量（Q）的变异性（Lapides 等人，2021年）。该资源包括研究的经验基础、文献和地图中的数据汇编。资源包含以下内容：

1. 河道长度调查数据（csv文件）
2. 流量时间序列数据（csv文件）
3. 流域元数据（csv文件）
4. 蓝线网络文件（pdf、png和shp文件）

该集合包括了至少进行了三次河道长度调查且拥有相应流量时间序列数据集的所有流域。要求至少三次河道长度调查的数据量，源于寻找正比关系中的α和β值以确定源头流域流量与河网长度之间的幂律关系的数据需求（Godsey 等人，2014年）。其中包含全球14个流域的数据，以及流域元数据、参考地图、shapefiles和复合的USGS蓝线河网影像及其地形图，针对美国感兴趣的流域。

该集合中数据集的处理方法或创建其他资源的方法包括在上述四个资源的摘要或附加元数据中。用于处理数据、计算变量和创建图形的Python代码可在以下链接获取：https://zenodo.org/record/4057320