Geo-Morphometric Analysis and Flood Simulation of the Tigris River Due to a Predicted Failure of the Mosul Dam, Mosul, Iraq

Saeedrashed, Younis Saida; Benim, Ali Cemal

doi:10.1007/978-3-030-21344-2_16

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The region of the Tigris River, located at its entrance from the northern region of the country, and the extension of its course to the upstream course of the Mosul Dam, was selected as a case study. This area has regular hydrological and hydrological characteristics, in addition to the absence of major tributaries entering or leaving the river [32]. Figure 7 shows the layout of the study area.…”

Section: Study Areamentioning

confidence: 99%

Optimization of the Nonlinear Muskingum Model Parameters for the River Routing, Tigris River a Case Study

Kadim¹,

Omran²,

Al-Taai³

2021

IJDNE

View full text Add to dashboard Cite

Flood forecasting and management are one of the most important strategies necessary for water resource and decision planners in combating flood problems. The Muskingum model is one of the most popular and widely used applications for the purpose of predicting flood routing. The particle swarm optimization (PSO) methodology was used to estimate the coefficients of the nonlinear Muskingum model in this study, comparing the results with the methods of genetic algorithm (GA), harmony search (HS), least-squares method (LSM), and Hook-Jeeves (HJ). The average monthly inflow for the Tigris River upstream at the Al-Mosul dam was selected as a case study for estimating the Muskingum model's parameters. The analytical and statistical results showed that the PSO method is the best application and corresponds to the results of the Muskingum model, followed by the genetic algorithm method, according to the following general descending sequence: PSO, GA, LSM, HJ, HS. The PSO method is characterized by its accurate results and does not require many assumptions and conditions for its application, which facilitates its use a lot in the subject of hydrology. Therefore, it is better to recommend further research in the use of this method in the implementation of future studies and applications.

show abstract

Section: Study Areamentioning

confidence: 99%