USGS Table AHG Parameters And Supplementary Data

Password Key: 69262qRead ; For more information please email: [e-mail] / [e-mail] Simplified hydraulic geometry relationships representing the average conditions over longer reaches could reduce the need for detailed field surveys and minimize the computational burden while studying river channel flow dynamics. Natural streams are characterized by changes in cross-section geometry and geophysical properties (e.g., bed-roughness, channel slope, channel planform, sediment load, etc.) along their reaches. Variations in the shape of the channel bed geometry are affected by several interacting features including the effect of different flow regimes, channel slope, sediment load, etc. Simplifying the river bed geometries will reduce the burden of assembling the required data and computational burden. “At-A-Station” Hydraulic Geometry (or AHG) relations are power-law functions that relate key hydraulic variables (i.e., velocity, depth, width, and flow area) to discharge at a river monitoring station (Dingman 2007; Dingman and Afshari 2018). The AHG relations have been introduced and discussed among researchers, engineers, and geomorphologists since the '50s based upon a limited number of observations made over a few flow monitoring stations across the United States. Afshari et. al., 2017 introduced a data filtering procedure that was trained and tested over both synthetic and realistic data followed by being applied over ~4000 U.S. Geological Survey’s river monitoring stations to compute AHG parameters based upon robust hydraulic vs. discharge measures. Estimated AHG parameters are combined with basic statistics (mean, minimum, maximum, and standard deviation) of key morphological and geophysical features at all USGS river monitoring sites, e.g. stream (Stahler) order, channel pattern (channel sinuosity), channel bed-slope, and channel lateral [or overbank] slope. The fundamental hydraulics, geographical, and geophysical data sources (websites) applied for making the "USGS Table AHG Parameters And Supplementary Data" table are USGS National Water Information System (USGS-NWIS) USGS Staged Product Directory (The National Map) National Hydrography Dataset Plus V2 (Horizon System Corporation) In doing so, potential interrelation among independent and dependent variables will be highlighted. Accordingly, given some assumptions, it is verified how well channel morphology and hydraulic components are intertwined and combined with AHG parameters and how categorizing river monitoring stations according to these characteristics will be practical and useful for further studies. References: Afshari, S., B.M. Fekete, S.L. Dingman, N. Devineni, D.M. Bjerklie, and R.M. Khanbilvardi. 2017. "Statistical filtering of river survey and streamflow data for improving At-A-Station hydraulic geometry relations." J. Hydrol. 547: 443–454. doi:10.1016/j.jhydrol.2017.01.038 Dingman, S.L., and S. Afshari. 2018. "Field verification of analytical at-a-station hydraulic- geometry relations." J. Hydrol. 564: 859-872. doi:10.1016/j.jhydrol.2018.07.020 Dingman, S.L. 2007. "Analytical derivation of at-a-station hydraulic geometry relations." J. Hydrol. 334: 17–27访问密钥：69262qRead；如需获取更多信息，请致邮：[e-mail] 或 [e-mail]。 简化水力几何关系可表征较长河段的平均水动力条件，在开展河道水流动力学研究时，能够减少详细野外勘测的需求，同时降低计算负担。天然河道的显著特征是沿程断面形态与地球物理属性（如床面粗糙度、河道坡度、河道平面形态、泥沙负荷等）均存在显著变化。河道床面几何形态的变化受多种交互作用因素影响，包括不同水流流态、河道坡度、泥沙负荷等的调控作用。简化河道床面几何形态，可大幅降低所需数据的整理工作量与计算负担。 “断面定点水力几何（At-A-Station Hydraulic Geometry, AHG）”关系属于幂律函数，可将关键水力变量（即流速、水深、河宽与过流面积）与河道监测站的流量建立定量关联（Dingman 2007; Dingman and Afshari 2018）。自20世纪50年代起，基于美国境内少量水文监测站的有限观测数据，AHG关系已在水力学研究者、水利工程师与地貌学家群体中被提出并广泛讨论。 Afshari等人2017年提出了一套数据过滤流程，该流程先在合成数据与实测数据集上完成训练与测试，随后被应用于约4000个美国地质调查局（United States Geological Survey, USGS）的河道监测站，基于稳健的水力-流量指标计算AHG参数。 估算得到的AHG参数，与所有USGS河道监测点的关键地貌与地球物理特征的基础统计量（均值、最小值、最大值与标准差）相结合，这些特征包括河流（Stahler）级数、河道形态（河道蜿蜒度）、河道床面坡度与河道侧向（或滩地）坡度。 用于构建“USGS断面定点水力几何参数与补充数据”表格的基础水文、地理与地球物理数据源（网站）包括：美国地质调查局国家水信息系统（USGS National Water Information System, USGS-NWIS）、美国地质调查局分期产品目录（《国家地图集》）、国家水文数据集Plus V2（Horizon System Corporation）。 通过上述研究流程，可凸显自变量与因变量间的潜在关联。据此，在若干合理假设前提下，可验证河道地貌与水力组分的耦合程度，及其与AHG参数的结合效果，同时可验证依据这些特征对河道监测站进行分类的方法，对后续相关研究的实用性与应用价值。 参考文献： Afshari, S., B.M. Fekete, S.L. Dingman, N. Devineni, D.M. Bjerklie, and R.M. Khanbilvardi. 2017. "Statistical filtering of river survey and streamflow data for improving At-A-Station hydraulic geometry relations." J. Hydrol. 547: 443–454. doi:10.1016/j.jhydrol.2017.01.038 Dingman, S.L., and S. Afshari. 2018. "Field verification of analytical at-a-station hydraulic- geometry relations." J. Hydrol. 564: 859-872. doi:10.1016/j.jhydrol.2018.07.020 Dingman, S.L. 2007. "Analytical derivation of at-a-station hydraulic geometry relations." J. Hydrol. 334: 17–27

搜集汇总

背景与挑战

背景概述

该数据集是一个水文数据集，专注于'At-A-Station Hydraulic Geometry (AHG) relations'参数和补充数据，旨在简化河流通道流动力学研究，减少详细野外调查和计算负担。它基于约4000个美国地质调查局（USGS）河流监测站的数据，结合形态和地球物理特征统计，数据来源包括USGS国家水信息系统等多个权威数据库。