Flood Influence Evaluation of Xiazhu Village Construction Land in Wuqing District in Tianjin City

2012 ◽  
Vol 594-597 ◽  
pp. 1877-1881
Author(s):  
Ping Yu ◽  
Ping Feng ◽  
Shu Hong Sun
Keyword(s):  
Flood Control ◽  
Flood Routing ◽  
Adjacent Area ◽  
Detention Basin ◽  
Venant Equation ◽  
River Flood ◽  
Tianjin City ◽  
Control Criteria ◽  
The Mathematical Model ◽  
The Yongding River

Investigate on the information of river basin and river way in Dianbei Provisional Detention Basin, use the Preissmann four point implicit difference scheme for the discrete solution of Saint Venant equation, and establish the mathematical model of flood routing for hydraulic. Analyze and evaluate the backwater of construction in Dianbei Provisional Detention Basin, and the Yongding River flood control criteria are combined. The result indicates that water level caused by the implementation of construction project is very small, and the influence to flood control in flood detention area and the adjacent area is very limited, so the project will not affect the flood release in detention basin.

scholarly journals Nonstructural Flood Control using Multi-reservoir Operation

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Babak Bayat
Keyword(s):  
Optimization Model ◽  
Flood Control ◽  
Flood Damage ◽  
Flood Routing ◽  
Flow Equations ◽  
Reservoir System ◽  
Simulation Based ◽  
River Flood ◽  
Southwest Of Iran

Nonstructural flood damage minimization through optimizing a short term multi-reservoir system operation is considered in this paper using a simulation-based optimization model. The well known evolutionary computation technique of particle swarm optimization (PSO) has been combined with a simulation model of river flood routing. The hydraulic routing model includes numerical solution of unsteady gradually varied flow equations by Preissmann method. The developed model has been used in a three-reservoir system as a real case study southwest of Iran. The results show applicability and efficiency of the proposed simulation-optimization model in determining optimal reservoir releases.

scholarly journals Flood routing via a copula-based approach

2021 ◽  
Author(s):  
Mohammad Nazeri Tahroudi ◽  
Yousef Ramezani ◽  
Carlo De Michele ◽  
Rasoul Mirabbasi
Keyword(s):  
Case Studies ◽  
Flood Control ◽  
Simulated Data ◽  
Flood Routing ◽  
Conditional Density ◽  
Dependence Structure ◽  
Efficiency Coefficient ◽  
Copula Functions ◽  
River Flood ◽  
Outflow Hydrograph

Abstract Floods are among the most common natural disasters that if not controlled may cause severe damage and high costs. Flood control and management can be done using structural measures that should be designed based on the flood design studies. The simulation of outflow hydrograph using inflow hydrograph can provide useful information. In this study, a copula-based approach was applied to simulate the outflow hydrograph of various floods, including the Wilson River flood, the River Wye flood and the Karun River flood. In this regard, two-dimensional copula functions and their conditional density were used. The results of evaluating the dependence structure of the studied variables (inflow and outflow hydrographs) using Kendall's tau confirmed the applicability of copula functions for bivariate modeling of inflow and outflow hydrographs. The simulation results were evaluated using the root-mean-square error, the sum of squared errors and the Nash–Sutcliffe efficiency coefficient (NSE). The results showed that the copula-based approach has high performance. In general, the copula-based approach has been able to simulate the peak flow and the rising and falling limbs of the outflow hydrographs well. Also, all simulated data are at the 95% confidence interval. The NSE values for the copula-based approach are 0.99 for all three case studies. According to NSE values and violin plots, it can be seen that the performance of the copula-based approach in simulating the outflow hydrograph in all three case studies is acceptable and shows a good performance.

Investigation of neural network and fuzzy inference neural network and their optimization using meta-algorithms in river flood routing

2018 ◽  
Vol 94 (3) ◽  
pp. 1057-1080 ◽  
Author(s):  
Mohammad R. Hassanvand ◽  
Hojat Karami ◽  
Sayed-Farhad Mousavi
Keyword(s):  
Neural Network ◽  
Fuzzy Inference ◽  
Flood Routing ◽  
River Flood

Discussion of “Snow on Mississippi River Flood Control”

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  
Keyword(s):  
Mississippi River ◽  
Flood Control ◽  
River Flood

Discussion of “Snow on Mississippi River Flood Control”

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  
Keyword(s):  
Mississippi River ◽  
Flood Control ◽  
River Flood

Discussion of “Snow on Mississippi River Flood Control”

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  
Keyword(s):  
Mississippi River ◽  
Flood Control ◽  
River Flood

Discussion of “Snow on Mississippi River Flood Control”

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  
Keyword(s):  
Mississippi River ◽  
Flood Control ◽  
River Flood

Discussion of “Snow on Mississippi River Flood Control”

1929 ◽  
Vol 93 (1) ◽  
pp. 840-950
Author(s):  
J. P. Snow ◽  
Frank B. Maltby ◽  
Morris Knowles ◽  
Charles H. Paul ◽  
F. G. Jonah ◽  
...  
Keyword(s):  
Mississippi River ◽  
Flood Control ◽  
River Flood

scholarly journals Flood Routing Process and High Dam Interception of Natural Discharge from the 2018 Baige Landslide-Dammed Lake

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 605 ◽  
Author(s):  
Bin-Rui Gan ◽  
Xing-Guo Yang ◽  
Hai-Mei Liao ◽  
Jia-Wen Zhou
Keyword(s):  
Flood Control ◽  
Arrival Time ◽  
Arch Dam ◽  
Flood Routing ◽  
Hydraulic Calculation ◽  
Outburst Flood ◽  
Jinsha River ◽  
Flood Peak ◽  
Inundation Area ◽  
High Dams

The outburst flood of the Baige landslide dam caused tremendous damage to infrastructure, unfinished hydraulic buildings, roads, and bridges that were built or under construction along the Jinsha River. Can downstream hydraulic buildings, such as high dams with flood control and discharge function, accommodate outburst floods or generate more serious losses due to wave overtopping? In this study, the unsteady flow of a one-dimensional hydraulic calculation was used to simulate natural flood discharge. Assuming a high dam (Yebatan arch dam) is constructed downstream, the flood processes were carried out in two forms of high dam interception (complete interception, comprehensive flood control of blocking and draining). Moreover, three-dimensional visualization of the inundation area was performed. Simulation results indicate that the Yebatan Hydropower Station can completely eliminate the outburst flood risk even under the most dangerous situations. This station can reduce the flood peak and delay the peak flood arrival time. Specifically, the flood peak decreased more obviously when it was closer to the upstream area, and the flood peak arrival time was more delayed when the flood spread further downstream. In addition, the downstream water depth was reduced by approximately 10 m, and the inundation area was reduced to half of the natural discharge. This phenomenon shows that hydraulic buildings such as high dams can reduce the inundation area of downstream farmlands and extend the evacuation time for downstream residents during the flood process, thus reducing the loss of life and property.

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