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Improved method for identifying Manning’s roughness coefficients in plain looped river network area
- Source :
- Engineering Applications of Computational Fluid Mechanics, Vol 15, Iss 1, Pp 94-110 (2021)
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- Manning’s roughness coefficient(n) is considered a key parameter in a one-dimensional (1D) hydrodynamic model. However, it is highly variable and time- and site- dependent. Further, identifying proper n values is not easy, especially in plain looped river network areas. Therefore, a more systematic approach is needed. This study proposes a coupled optimization-simulation model to systematically estimate the spatial distribution of n values. The particle swarm optimization (PSO) algorithm and InfoWorks Integrated Catchment Modelling (ICM) software were integrated to solve the objective function and hydraulic process, respectively. Crisscrossing rivers were partitioned into river reaches that were each assumed to have a uniform and constant Manning’s roughness coefficient according to their network topology and cross-section variation. In addition, a sensitivity analysis was implemented to determine the weights of measured data from different gauging stations, and a large difference in the spatial distribution of the sensitivity index illustrated the importance of identifying the weights of multiple stations. Then, a systematic approach was applied to estimate the n values in the Changshu Grand Polder Area (CGPA), which is crisscrossed by 150 rivers, under the water diversion stage. The calculation statistics and efficiency indicated that the proposed method performs well for model calibration.
- Subjects :
- General Computer Science
particle swarm optimization (pso)
manning’s roughness coefficient
Soil science
Improved method
plain looped river network area
02 engineering and technology
Surface finish
Engineering (General). Civil engineering (General)
01 natural sciences
010305 fluids & plasmas
infoworks integrated catchment modelling (icm)
Roughness coefficient
Variable (computer science)
020303 mechanical engineering & transports
sensitivity analysis
0203 mechanical engineering
Modeling and Simulation
0103 physical sciences
River network
Key (cryptography)
latin hypercube sampling (lhs)
TA1-2040
Mathematics
Subjects
Details
- ISSN :
- 1997003X and 19942060
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Engineering Applications of Computational Fluid Mechanics
- Accession number :
- edsair.doi.dedup.....a83099882f32e5be645487610c19d7bf