Dataset for modelling the apparent von Kármán parameter in thermally and sedimentologically stratified air flows
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https://zenodo.org/record/7196648
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资源简介:
The dataset is used to support the article titled as "Modelling the apparent von Kármán parameter in thermally and sedimentologically stratified air flows" by the same authors. There are two spreadsheets in the datasheet.xlsx file. The first one is the 5-min block averaged data derived from the measurements by a meterologoical tower. The second one is the sand transport and saltation sensor data derived from a number of 5-10 min measurements by sand trap stacks and a Sensit.
1. Description for Spreadsheet "Tower Data":
Date: Data collection date
Run_number: the run number counting from the start of the experiment. Measurements were taken for 5 min for each run.
UA1: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.19 m above the bed
UA2: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.49 m above the bed
UA3: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.76 m above the bed
UA: resultant wind speed (m/s) measured by a 3D ultrasonic anemometer at 1.49 m above the bed
R_square: the R2 value for log-linear curve fitting between wind speed measured by ultrasonic anemometers and elevation
R_f: flux Richardson number Rf
u_star: shear velocity u* (m/s)
zeta: stability parameter ζ
phi_m: dimensionless wind shear Φm
kappa_a: apparent von Kármán parameter κa
KE: KE values measured by Sensit
Q: Calculated sediment transport rate Q ( g m-1 s-1) using KE-Q relationship described in spreadsheet "Trap data"
2. Description for Spreadsheet "Trap Data":
KE: KE values measured by Sensit
Q: sediment transport rate Q ( g m-1 s-1) measured by sand traps
The figure with regression equation describes the relationship between KE and Q.
本数据集用于支撑同名作者发表的题为《热分层与沉积分层气流中表观冯·卡门参数建模》(Modelling the apparent von Kármán parameter in thermally and sedimentologically stratified air flows)的学术论文。数据集文件datasheet.xlsx包含两张电子表格:第一张为基于气象塔测量得到的5分钟块平均数据;第二张为基于集沙仪堆与Sensit传感器的多组5~10分钟测量得到的输沙与跃移传感器数据。
1. 电子表格"Tower Data"说明:
Date:数据采集日期
Run_number:实验启动后的连续运行编号,每组运行的测量时长为5分钟
UA1:床面上方0.19 m处,二维超声风速仪测得的合成风速(单位:m/s)
UA2:床面上方0.49 m处,二维超声风速仪测得的合成风速(单位:m/s)
UA3:床面上方0.76 m处,二维超声风速仪测得的合成风速(单位:m/s)
UA:床面上方1.49 m处,三维超声风速仪测得的合成风速(单位:m/s)
R_square:超声风速仪测得的风速与高程之间的对数线性曲线拟合的R²值
R_f:通量理查森数(flux Richardson number)R_f
u_star:剪切速度u*(单位:m/s)
zeta:稳定度参数ζ
phi_m:无量纲风切变Φ_m
kappa_a:表观冯·卡门参数(apparent von Kármán parameter)κ_a
KE:Sensit传感器测得的KE值
Q:依据"Trap Data"表格中给出的KE-Q关系计算得到的输沙率Q(单位:g·m⁻¹·s⁻¹)
2. 电子表格"Trap Data"说明:
KE:Sensit传感器测得的KE值
Q:集沙仪测得的输沙率Q(单位:g·m⁻¹·s⁻¹)
附带回归方程的图表展示了KE与Q之间的相关关系。
创建时间:
2022-10-14



