Sensitivity of optimized transient storage model parameters to spatial and temporal resolution

被引:0
|
作者
Steve Wallis
Russell Manson
机构
[1] Heriot-Watt University,School of Energy, Geoscience, Infrastructure and Society
[2] Stockton University,School of Natural Sciences and Mathematics
来源
Acta Geophysica | 2019年 / 67卷
关键词
Solute transport; Rivers; Transient storage model; Model resolution; Parameter optimization;
D O I
暂无
中图分类号
学科分类号
摘要
The transient storage model is a popular tool for modelling solute transport along rivers. Its use requires values for the velocity and shear flow dispersion coefficient in the main channel of the river together with two exchange rates between the main channel and transient storage zones, which surround the main channel. Currently, there is insufficient knowledge to enable these parameters to be predicted from the type of hydraulic variables that may typically be available. Hence, recourse is made to tracer experiments, which provide temporal solute concentration profiles that can be used to estimate the parameters by optimizing model output to observations. The paper explores the sensitivity of such parameters to the spatial and temporal resolutions used in the optimization of the model. Data from 25 tracer experiments covering a river flow rate range of 300–2250 L/s in a single reach of the river Brock in north-west England were used. The shear flow dispersion coefficient was found to be the most sensitive parameter; the velocity was found to be the least sensitive parameter. When averaged over all the experiments, mean percentage differences in parameter values between a coarse resolution case and a fine resolution case were of the order of 2% for the velocity, 70% for the shear flow dispersion coefficient and 30% and 20% for the two exchange rates. Since the shear flow dispersion coefficient was found to be small, both in numerical terms and in comparison with an estimate of the total dispersion in the reach, it is suggested that it may be viable to omit the shear flow dispersion term from the model.
引用
收藏
页码:951 / 960
页数:9
相关论文
共 50 条
  • [21] Identifiability of transient storage model parameters along a mountain stream
    Kelleher, C.
    Wagener, T.
    McGlynn, B.
    Ward, A. S.
    Gooseff, M. N.
    Payn, R. A.
    [J]. WATER RESOURCES RESEARCH, 2013, 49 (09) : 5290 - 5306
  • [22] Predicting Transient Storage Model Parameters of Rivers by Genetic Algorithm
    Sahay, Rajeev Ranjan
    [J]. WATER RESOURCES MANAGEMENT, 2012, 26 (13) : 3667 - 3685
  • [23] Predicting Transient Storage Model Parameters of Rivers by Genetic Algorithm
    Rajeev Ranjan Sahay
    [J]. Water Resources Management, 2012, 26 : 3667 - 3685
  • [24] Electrophysiological measures of temporal resolution, contrast sensitivity and spatial resolving power in sharks
    Laura A. Ryan
    Jan M. Hemmi
    Shaun P. Collin
    Nathan S. Hart
    [J]. Journal of Comparative Physiology A, 2017, 203 : 197 - 210
  • [25] Sensitivity of the tropical Pacific Ocean simulation to the temporal and spatial resolution of wind forcing
    Chen, DK
    Liu, WT
    Zebiak, SE
    Cane, MA
    Kushnir, Y
    Witter, D
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C5) : 11261 - 11271
  • [26] PERCEPTUAL MODIFICATION OF SENSITIVITY (D') - MODIFYING TEMPORAL RESOLUTION BY CONSISTENCY OF SPATIAL CONFIGURATION
    TYSON, PD
    [J]. PERCEPTION & PSYCHOPHYSICS, 1972, 12 (1A): : 45 - &
  • [27] Electrophysiological measures of temporal resolution, contrast sensitivity and spatial resolving power in sharks
    Ryan, Laura A.
    Hemmi, Jan M.
    Collin, Shaun P.
    Hart, Nathan S.
    [J]. JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY, 2017, 203 (03): : 197 - 210
  • [28] Sensitivity of snowpack storage to precipitation and temperature using spatial and temporal analog models
    Luce, Charles H.
    Lopez-Burgos, Viviana
    Holden, Zachary
    [J]. WATER RESOURCES RESEARCH, 2014, 50 (12) : 9447 - 9462
  • [29] Comparative study of spectral sensitivity, irradiance sensitivity, spatial resolution and temporal resolution in the visual systems of Ocypode quadrata and Aratus pisonii
    Qian, Ruchao
    Frank, Tamara M.
    [J]. JOURNAL OF EXPERIMENTAL BIOLOGY, 2024, 227 (03):
  • [30] Sensitivity of the Baltic Sea level prediction to spatial model resolution
    Kowalewski, Marek
    Kowalewska-Kalkowska, Halina
    [J]. JOURNAL OF MARINE SYSTEMS, 2017, 173 : 101 - 113