A SCOUR DEPTH APPROACH FOR DERIVING ERODIBILITY PARAMETERS FROM JET EROSION TESTS

被引:0
|
作者
Daly, E. R. [1 ]
Fox, G. A. [1 ]
Al-Madhhachi, A. T. [2 ]
Miller, R. B. [1 ]
机构
[1] Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74078 USA
[2] Al Mustansiriya Univ, Dept Environm Engn, Coll Engn, Baghdad, Iraq
基金
美国国家科学基金会;
关键词
Cohesive soil erosion; Critical shear stress; Erodibiliiy; Jet erosion test; Scour depth; SURFACE ERODIBILITY; EARTHEN CHANNELS; BANK STABILITY; HIGH STRESSES; MODEL; FLOW; TRANSPORT; SOILS;
D O I
10.13031/trans.56.10350
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Typically the erosion rate of cohesive soils is modeled using the excess shear stress equation, which includes two soil parameters: the erodibility coefficient (k(d)) and the critical shear stress (tau(c)). A jet erosion test (JET) is a standardized method available for deriving the erodibility of cohesive soils. The JET data are typically analyzed using a Blaisdell solution approach. A second solution approach based on direct parameter optimization to the measured scour depth data has recently been proposed but with limited evaluation. Therefore, the objectives of this research were to: (1) develop a new spreadsheet tool that simultaneously solves for the erodibility parameters using both solution approaches, (2) evaluate the solutions in terms of their ability to predict the observed scour depth data, and (3) quantify differences in the predicted erodibility parameters from the two approaches. A series of JETs conducted across the Illinois River watershed in eastern Oklahoma were used to evaluate the performance of the spreadsheet and the solution methodologies. The new scour depth solution provided improved fits to the original scour depth data along with being more stable in converging to a solution as a function of the initial parameter estimates. The automated spreadsheet provides an easy-to-use tool for deriving erodibilizy parameters from JETs.
引用
收藏
页码:1343 / 1351
页数:9
相关论文
共 11 条
  • [1] CORRELATING SITE-SCALE ERODIBILITY PARAMETERS FROM JET EROSION TESTS TO SOIL PHYSICAL PROPERTIES
    Daly, E. R.
    Fox, G. A.
    Fox, A. K.
    TRANSACTIONS OF THE ASABE, 2016, 59 (01) : 115 - 128
  • [2] DERIVING PARAMETERS OF A FUNDAMENTAL DETACHMENT MODEL FOR COHESIVE SOILS FROM FLUME AND JET EROSION TESTS
    Al-Madhhachi, A. T.
    Hanson, G. J.
    Fox, G. A.
    Tyagi, A. K.
    Bulut, R.
    TRANSACTIONS OF THE ASABE, 2013, 56 (02) : 489 - 504
  • [3] Variability of Erodibility Parameters from Laboratory Mini Jet Erosion Tests
    Khanal, A.
    Fox, G. A.
    Al-Madhhachi, A. T.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2016, 21 (10)
  • [4] SOIL MOISTURE IMPACTS LINEAR AND NONLINEAR ERODIBILITY PARAMETERS FROM JET EROSION TESTS
    Khanal, A.
    Fox, G. A.
    Guertault, L.
    TRANSACTIONS OF THE ASABE, 2020, 63 (04) : 1123 - 1131
  • [5] Site-scale variability of streambank fluvial erodibility parameters as measured with a jet erosion test
    Daly, E. R.
    Fox, G. A.
    Enlow, H. K.
    Storm, D. E.
    Hunt, S. L.
    HYDROLOGICAL PROCESSES, 2015, 29 (26) : 5451 - 5464
  • [6] COMPARISON OF FIELD JET EROSION TESTS AND WEPP-PREDICTED ERODIBILITY PARAMETERS FOR VARYING LAND COVER
    Lisenbee, W. A.
    Fox, G. A.
    Saenz, A.
    Miller, R. B.
    TRANSACTIONS OF THE ASABE, 2017, 60 (01) : 173 - 184
  • [7] Infiltration-Based Variability of Soil Erodibility Parameters Evaluated with the Jet Erosion Test
    Akin, Aaron A.
    Nguyen, Gia
    Sheshukov, Aleksey Y.
    WATER, 2024, 16 (07)
  • [8] Detachment characteristics of root-permeated soils from laboratory jet erosion tests
    Khanal, Anish
    Fox, Garey A.
    ECOLOGICAL ENGINEERING, 2017, 100 : 335 - 343
  • [9] An Innovative Approach to Predicting Scour Depth Around Foundations Under Combined Waves and Currents in Large-Scale Tests Based on Small-Scale Tests
    Hu, Ruigeng
    Liu, Hongjun
    Lu, Yao
    Wang, Xiuhai
    Shi, Wei
    JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2023, 22 (03) : 637 - 648
  • [10] An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database
    Zhang, Yu
    Zhang, Ziya
    Reed, Seann
    Koren, Victor
    COMPUTERS & GEOSCIENCES, 2011, 37 (02) : 219 - 231