Refinement of the channel response system by considering time-varying parameters for flood prediction

被引:2
作者
Huang, Pin-Chun [1 ]
Lee, Kwan Tun [2 ]
机构
[1] Natl Taiwan Ocean Univ, Ctr Excellence Ocean Engn, Keelung 202, Taiwan
[2] Natl Taiwan Ocean Univ, Dept River & Harbor Engn, Keelung, Taiwan
关键词
linear channel routing; modified impulse response function; time-varying parameters; HIGHER CUMULANTS; LINEAR CHANNEL; HYDROGRAPH; RIVER;
D O I
10.1002/hyp.13868
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Impulse response functions derived from different types of flood wave equations (simplified shallow water equations) are continuously developed to conduct the linear channel routing (LCR), which is based on the linearized Saint Venant equation and has been widely applied to avoid any possibility of numerical instability. The impulse response function proposed by Dooge, Napiorkowski, and Strupczewski (1987) and derived from the dynamic wave equation with complete force terms has been acknowledged as a classic work to establish a good physical interpretation for the LCR model; however, the flexibility of altering the shape of impulse response still needs to be improved. Based on the concept of this work, this study intends to introduce the time-varying parameters in the model, so the values of parameters can be adjusted according to the inflow condition, flood stage, and the cross-sectional shape. Moreover, an integrated routing procedure is proposed to formulate the impulse response function for lateral-flow inputs and then to connect multiple inputs from subwatersheds or alongside the main channel with the impulse response function of each channel segment to reflect the spatial variation of hydraulic characteristics among different segments. In the discussion of this article, the impulse response function is analysed to show its sensitivity to hydraulic variables with spatial and temporary variations. Flood-event simulations of a studied watershed are also provided to verify the applicability of the proposed channel routing system.
引用
收藏
页码:4097 / 4111
页数:15
相关论文
共 50 条
[21]   TEHL analysis of VH-CATT cylindrical gear transmission in elliptical contact considering time-varying parameters [J].
Luo, Pei ;
Wu, Yang ;
Liang, Shuang ;
Hou, Li ;
Fan, Qingwen ;
Wei, Yongqiao .
ADVANCES IN MECHANICAL ENGINEERING, 2022, 14 (02)
[22]   LSTM-based Estimation of Time-Varying Parameters in a Spatiotemporal PDE Model for Prediction of Epidemic Spread [J].
David, Deepak Antony ;
Street, Logan ;
Ramakrishnan, Subramanian ;
Kumar, Manish .
IFAC PAPERSONLINE, 2024, 58 (28) :468-473
[23]   Fractional Order Accumulation Polynomial Time-Varying Parameters Discrete Grey Prediction Model and Its Application [J].
Gao, Pumei ;
Zhan, Jun .
JOURNAL OF GREY SYSTEM, 2020, 32 (01) :90-107
[24]   The Time-Varying Response of Hours Worked to a Productivity Shock [J].
Li, Huachen .
JOURNAL OF MONEY CREDIT AND BANKING, 2023, 55 (07) :1907-1935
[25]   A Bayesian analysis of moving average processes with time-varying parameters [J].
Triantafyllopoulos, K. ;
Nasonb, G. P. .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 52 (02) :1025-1046
[26]   Statistical inference for a general class of distributions with time-varying parameters [J].
Barbu, Vlad Stefan ;
Karagrigoriou, Alex ;
Makrides, Andreas .
JOURNAL OF APPLIED STATISTICS, 2020, 47 (13-15) :2354-2373
[27]   Linear models with time-varying parameters: a comparison of different approaches [J].
Lucchetti, Riccardo Jack ;
Valentini, Francesco .
COMPUTATIONAL STATISTICS, 2024, 39 (07) :3523-3545
[28]   Construction of SCUIR Propagation Model Based on Time-Varying Parameters [J].
Li, Feng ;
Sun, Gengxin .
JOURNAL OF GLOBAL INFORMATION MANAGEMENT, 2022, 30 (10)
[29]   Time-varying parameters in monetary policy rules: a GMM approach [J].
Anderl, Christina ;
Caporale, Guglielmo Maria .
JOURNAL OF ECONOMIC STUDIES, 2024, 51 (09) :148-176
[30]   Nonstationary filters with one time-varying function all the parameters [J].
Kaszynski, Roman ;
Wysocka, Anna .
PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (10B) :49-51