Sedimentation and new operational curves for Mosul Dam, Iraq

Issa, Issa E.; Al‐Ansari, Nadhir; Knutsson, Sven

doi:10.1080/02626667.2013.789138

Cited by 22 publications

(16 citation statements)

References 2 publications

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“…Later in 2011 it was about 80 m due to sedimentation. This suggests that, 3.0 m of sediment accumulated near the dam during the operational period of the project [18].…”

Section: Bathymetric Survey Datamentioning

confidence: 96%

“…Four major tributaries (Batman, Garzan, Botan and Al-Khabur) feed the Tigris River north of MDR from the left bank [37]. The catchment area upstream MDR is about 54,900 km 2 shared by Turkey, Syria and Iraq [35] [36] while the valleys surrounding the reservoir drains an area of about 1375 km 2 [18] [33]. Long term sedimentation record data were measured in the River Tigris before the construction of the dam were carried out on three gaging stations by Harza engineering company and Binnie and Partners [38].…”

Section: Sedimentation Record Datamentioning

confidence: 99%

“…This represents an annual sediment deposition rate of 45.72 × 10 6 m 3 •yr −1 . As a result, the reservoir lost 10.29% of its storage capacity during this period [18]. The survey results were also used to construct area-storage capacity curves (Figure 3).…”

Section: Bathymetric Survey Datamentioning

confidence: 99%

“…In addition, to the above TE of MDR for the whole period of its operation were computed using the same technique to find out the time of dam operating. These results were compared with bathymetric survey data that were collected in 2011 after 25 year of operating Mosul dam [18]. Thus, the specific aims of this study were evaluating these methods with reference to the bathymetric survey for determining the amount of sediment deposited during this period and to monitor the sedimentation process in MDR which is the biggest and the most important strategic projects in Iraq.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring and Evaluating the Sedimentation Process in Mosul Dam Reservoir Using Trap Efficiency Approaches

Issa¹,

Al‐Ansari²,

Knutsson³

et al. 2015

ENG

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Reservoirs are usually exposed to sediment accumulation problems that will lead to reduction in their storage capacity. This problem directly affects the performance of the dams and causes shortage of their useful life. The simplest technique to estimate sediment deposition rate is using sediment rating curve with sediment trapping efficiency (TE) of the reservoir. Many empirical and semi-empirical approaches have been suggested for to determine this term depending on the annual inflow rate, reservoir characteristics and features of the catchments area. In this study six different empirical methods depending on the residence time principle (water retention time) were used. These approaches were reviewed and applied to determine TE of Mosul dam reservoir (MDR) for period 1986 to 2011. The monthly operating data for inflow, outflow and water elevations for MDR were used to determine monthly TE and long-term TE for whole period of MDR using the mentioned methods. Furthermore, the monthly inflow rate for River Tigris upstream MDR, its sediment rating curve and sediment feeding from valleys around MDR were used to estimate the amount sediment coming to the reservoir. The results provided by these methods for TE with sediment coming to MDR were used to compute the amount of sediment deposited in MDR on monthly bases during this period. The results obtained were evaluated using observed bathymetric survey data that had been collected in 2011 after 25 years of the operation of the dam. The results showed all the mentioned methods gave convergent results and they were very close to bathymetric survey results for estimating the volume of sediment deposited especially that proposed by Ward which gave 0.368% percentage error. Furthermore, the result computed using monthly TE gave good agreement if compared with that long-term TE where the percentage error was ranging between −3.229% to 1.674% for monthly adopted data and −4.862% to −2.477% for I. E. Issa et al. 191 whole period data. It is believed that this work will help others to use this procedure on other reservoirs.

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“…Later in 2011 it was about 80 m due to sedimentation. This suggests that, 3.0 m of sediment accumulated near the dam during the operational period of the project [18].…”

Section: Bathymetric Survey Datamentioning

confidence: 96%

Section: Sedimentation Record Datamentioning

confidence: 99%

Section: Bathymetric Survey Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Monitoring and Evaluating the Sedimentation Process in Mosul Dam Reservoir Using Trap Efficiency Approaches

Issa¹,

Al‐Ansari²,

Knutsson³

et al. 2015

ENG

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“…The HEC‐RAS model as a one‐dimensional (1‐D) model was applied to simulate the flows and evaluate the total sediment deposited in Mosul Dam Reservoir within 25 years of its operation from 1986 to 2011 (Mohammad et al, ). The results indicated the model performance was good for estimating the total load deposited in the reservoir, compared to the bathymetry survey (Issa, Al‐Ansari, & Knutsson, a,b).…”

Section: Introductionmentioning

confidence: 89%

A numerical study of pumping effects on flow velocity distributions in Mosul Dam reservoir using the HEC‐RAS model

et al. 2020

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Water flow direction and velocity affect and controls erosion, transport and deposition of sediment in rivers, reservoirs and different hydraulic structures. One of the main structures affected is pumping stations within the dams wherein the velocity distribution near the station intake is disturbed. The two‐dimensional (2‐D) HEC‐RAS 5.01 model was utilized to study, analyse and evaluate the effects of pumping rates and flow depth on the flow velocity distribution, flow stream power and their effects in the Mosul Dam reservoir. The pumping station was considered as a case study. The station is suffering from sediment accumulation around, and in, its intake and suction pipes. The main inflow sources to the reservoir are the Tigris River and run‐off from the valleys within its basin. The reservoir was divided into two parts for the present study, including the upper part near the pumping station (analysed as a two‐dimensional zone), while the lower part was analysed as a one‐dimensional flow to reduce the simulation period computation time (1986–2011). Different operation plans (i.e. pumping rate and water depth) were considered. The results of the depth‐averaged velocity model indicated that when the pumping station was working at a range from the designed full capacity (100% to 25% of its full capacity), the maximum flow velocity increased from 75 to 4 times the normal velocity when there is no pumping dependent on pumping rate and flow depth. For the same operation plans, the flow stream power varied from around zero values to 400 times at full pumping capacity and low flow depth. For sediment routing along the reservoir, the considered statistical criteria indicated the model performance in estimating the total sediment load deposition and invert bed level is much better than in the case of erosion and deposition areas for different considered bed sections of the reservoir.

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