scholarly journals Reservoir Sedimentation Based on Uncertainty Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Farhad Imanshoar ◽  
Afshin Jahangirzadeh ◽  
Hossein Basser ◽  
Shatirah Akib ◽  
Babak Kamali ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Storage Capacity ◽  
Sediment Accumulation ◽  
Economic Life ◽  
Delta Method ◽  
Design Stage ◽  
Reservoir Sedimentation ◽  
Sediment Storage ◽  
Dead Storage ◽  
Useful Life

Reservoir sedimentation can result in loss of much needed reservoir storage capacity, reducing the useful life of dams. Thus, sufficient sediment storage capacity should be provided for the reservoir design stage to ensure that sediment accumulation will not impair the functioning of the reservoir during the useful operational-economic life of the project. However, an important issue to consider when estimating reservoir sedimentation and accumulation is the uncertainty involved in reservoir sedimentation. In this paper, the basic factors influencing the density of sediments deposited in reservoirs are discussed, and uncertainties in reservoir sedimentation have been determined using the Delta method. Further, Kenny Reservoir in the White River Basin in northwestern Colorado was selected to determine the density of deposits in the reservoir and the coefficient of variation. The results of this investigation have indicated that by using the Delta method in the case of Kenny Reservoir, the uncertainty regarding accumulated sediment density, expressed by the coefficient of variation for a period of 50 years of reservoir operation, could be reduced to about 10%. Results of the Delta method suggest an applicable approach for dead storage planning via interfacing with uncertainties associated with reservoir sedimentation.

scholarly journals Prediksi Beban Sedimentasi Waduk Selorejo Menggunakan Debit Ekstrapolasi dengan Rantai Markov

2015 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Ernawan Setyono ◽  
Devi Ismijayanti
Keyword(s):  
Service Life ◽  
Storage Capacity ◽  
Reservoir Sedimentation ◽  
Sediment Storage ◽  
Water Line ◽  
Dead Storage ◽  
Rate Of Sedimentation ◽  
The Dead ◽  
And Storage

Prediksi Beban Sedimentasi Waduk Selorejo Menggunakan Debit Ekstrapolasi dengan Rantai MarkovPrediction of Reservoir Sedimentation Selorejo Loads Using Debit Extrapolation Markov ChainErnawan Setyono1 & Devi Ismijayanti21,2Jurusan Teknik Sipil – Fakultas Teknik Univ. Muhammadiyah MalangAlamat Korespondensi : Jl. Raya Tlogomas 246 Malang 65144Email : 2)[email protected] reservoirs in operation since 1970 and is expected to operate and serve the needs of water up to the year 2020. The main problem encountered in the construction and operation of reservoirs is how to keep the service life of the reservoir as planned, one of which causes the sediment that settles at the bottom of the reservoir , Based on the results of recent measurements, it is known that the dead storage capacity of 1.71 million m3. Each year has an additional volume of sediment that settles that require greater storage capacity. The results showed that in 2014 increased storage capacity for additional volume of sediment that settles at 3,223,797.64 m3 and storage capacity increased to 4,933,797.64 m3. 2015 dead storage capacity increased to 7,920,967.58 m3 and continued to increase until 2020 dead storage capacity reaches 25,585,055.30 m3. This situation shows that the volume of sediment elevation has crossed the level of low-water line (LWL) and already exceeds the volume of the sediment storage capacity die before the age of reservoirs that have been planned so that it takes some effort to reduce the rate of sedimentation in the reservoir.Keywords: reservoirs, dead storage capacity, sedimentAbstrakWaduk Selorejo beroperasi sejak tahun 1970 dan diharapkan dapat beroperasi dan melayani kebutuhan air hingga pada tahun 2020. Masalah utama yang dihadapi dalam pembangunan dan pengoperasian waduk adalah bagaimana menjaga agar umur layanan waduk sesuai dengan yang direncanakan, salah satunya penyebabnya adanya sedimen yang mengendap di dasar waduk. Berdasarkan hasil pengukuran terakhir, diketahui bahwa kapasitas tampungan mati 1,71 juta m3. Setiap tahun memiliki tambahan volume sedimen yang mengendap sehingga memerlukan kapasitas tampungan yang lebih besar. Hasil penelitian menunjukkan bahwa pada tahun 2014 kapasitas tampungan meningkat karena penambahan volume sedimen yang mengendap di 3,223,797.64 m3 dan kapasitas tampungan meningkat menjadi 4,933,797.64 m3. Tahun 2015 kapasitas tampungan mati meningkat menjadi 7,920,967.58 m3 dan terus meningkat hingga 2020 kapasitas tampungan mati mencapai 25,585,055.30 m3. Situasi ini menunjukkan bahwa volume elevasi sedimen telah menyeberangi tingkat garis air rendah (LWL) dan sudah melebihi volume kapasitas tampungan sedimen mati sebelum usia waduk yang telah direncanakan sehingga dibutuhkan beberapa upaya untuk mengurangi tingkat sedimentasi ke dalam reservoir.Kata kunci: waduk, kapasitas tampungan mati, sedimen

scholarly journals Reservoir Sedimentation and Flushing using Run-of-River Project

2019 ◽  
Vol 8 (10) ◽  
pp. 357-361
Keyword(s):  
Power Generation ◽  
Transport Equation ◽  
Catchment Area ◽  
Storage Capacity ◽  
Sediment Accumulation ◽  
Design Stage ◽  
Time Interval ◽  
Severe Problem ◽  
North East ◽  
Run Of River

Annually sedimentation causes 1 % of storage capacity of the reservoir all over the world. Blockage of intakes in the reservoirs and damage to tunnels/turbines can be also caused due to sediment inflow from the rivers in the catchment area. Due to the problems caused by sediments scouring of sediment from reservoir known as flushing is been done and this technique for removal of sediment is the most effective one. The process of flushing is done by lowering the water level necessarily to erode deposited sediment and also to flush them from/through the intakes and river catchment. The sediment size and other parameters such as the sediment characteristics within the catchment area of reservoir and technique used during the flushing process through the reservoir and also along the geometry of channel can be related to outflow sediment discharge. Run-of-the-river projects contribute a major part of power generation in India, but this type of projects face a very common problem of sediment accumulation in the reservoirs due to high amount of sediments coming from mountainous region. These sediments decrease the storage capacity of reservoir and also the life of turbine blades by choking and reacting with it. North and North-East India is facing severe problem of storage depletion in their reservoirs for the power generation. Hence, it is essential to keep proper sediment management plans in reservoirs of these types of projects during planning and design stage. This paper describes the prediction of sedimentation and flushing pattern in the reservoir of usual run of river project in Himalayan region, the paper describes the use of mathematical model simulations. The one dimensional HEC-RAS 5.0.3 was used as numerical modeling for the project and the results of flushing model was also. In this study, monsoon data was used to predict the year wise sedimentation pattern. Eight sets of transport equations (Ackers-White, Meyer Peter Muller, Engelund-Hansen, Laursen, Wilcock-Crowe, Yang, Toffaleti, MPM-Toffaleti.) were used with different sets of time interval to perform the study. The analysis of results and comparison with annual observed sediment volume indicated that simulations using HEC-RAS 5.0.3 with Ackers-White transport equation predicted the sediment load more accurately when the reservoir was operated at FRL. Hence, further studies for reservoir operating at FRL were carried out using the Ackers-White transport equation. Further, the worst condition of sediment accumulation was taken into flushing model to perform flushing analysis. Here, two different combinations of run were performed of 300 cumecs & 400 cumecs discharge for of 3, 6, 9, 12, 15, 18, 24, and 27 hours respectively. By analyzing the results coming from flushing runs, it was concluded that the run performed at FRL for 300 cumec discharge for 24 hours and 400 cumecs discharge for 15 & 18 hours were effective.

Ground Mass Heat-Accumulating Capacity Evaluation at the Protective Structure Conditioning System Design Stage

2018 ◽  
Vol 931 ◽  
pp. 940-945
Author(s):  
Oleg A. Gubeladze ◽  
Avtandil R. Gubeladze ◽  
Larisa F. Kirilchik
Keyword(s):  
System Design ◽  
Air Conditioning ◽  
Storage Capacity ◽  
Heat Storage ◽  
Design Stage ◽  
Energy Costs ◽  
Protective Structure ◽  
Capacity Evaluation ◽  
Ground Mass

The possibility of using the heat-storage capacity of the soil massif surrounding the underground protective structure is under consideration with the purpose to minimize the energy costs of the projected system for technological air conditioning of the facility.

scholarly journals Reservoir sedimentation regime analysis: case study of Kedungombo reservoir and Sermo reservoir

2021 ◽  
Vol 27 (1) ◽  
pp. 80-87
Author(s):  
Indri Rahmandhani Fitriana ◽  
Djoko Legono ◽  
Heriantono Waluyadi
Keyword(s):  
Sedimentation Rate ◽  
Characteristic Curve ◽  
Digital Terrain Model ◽  
Reservoir Sedimentation ◽  
Terrain Model ◽  
Basic Services ◽  
Sedimentation Volume ◽  
Dead Storage ◽  
The Dead ◽  
Sedimentation Regime

The Kedungombo and the Sermo Reservoirs have problems in fulfilling basic services because of sedimentation. Sedimentation that occurs in each of the reservoirs would form a specific reservoir sedimentation pattern that is supposed to be similar because the hydrology and physiography conditions of the reservoir's catchment area are similar. This study aims to determine the dynamics of sedimentation patterns that occur in the dead storage for reviewing the characteristics/sedimentation regime of the two reservoirs. The analysis was carried out by processing bathymetrical data which were processed into a digital terrain model (DTM) using ArcGIS. Furthermore, the storage volume, sedimentation volume, storage percentage, and specific reservoir sedimentation rate are calculated. The results showed that the two reservoirs showed an increase in sedimentation volume each year so that the reservoir characteristic curve shifted from the plan graph. The dead storage capacity of Kedungombo Reservoir is 100% in 1989 to 43% in 2016 and 100% of Sermo Reservoir in 1997 to 58% in 2011. The specific reservoir sedimentation rate, i.e. 0.0031 and 0.0042 million m3/year/km2 for the Kedungombo Reservoir (between 1989 and 2016) and the Sermo Reservoir (between 1997 and 2011) respectively, indicating that the two reservoirs are in the same regime

scholarly journals Spectral Reflectance in the Spatial-temporal Dynamic of Turbidity, Itaipu Reservoir, Brazil

2021 ◽  
Vol 44 ◽  
Author(s):  
Douglas Stefanello Facco ◽  
Laurindo Antonio Guasselli ◽  
Luis Fernando Chimelo Ruiz ◽  
João Paulo Delapasse Simioni ◽  
Daiane Gerhardt Dick
Keyword(s):  
Sediment Transport ◽  
Spectral Reflectance ◽  
Storage Capacity ◽  
Space Time ◽  
Landsat 8 ◽  
Time Dynamics ◽  
High Turbidity ◽  
Useful Life ◽  
And Storage ◽  
Reflectance Data

Water quality and the useful life of reservoirs and dams are influenced by the entry of suspended solids, in addition to reducing theirtransparency and storage capacity. It is primary to monitor and analyses its space-time dynamics. Thus, the objective of this work isto characterize the dynamics of the Itaipu Reservoir waters from turbidity, rainfall and spectral reflectance data. To characterize thedynamics, the reservoir was divided into 18 aquatic compartments between upstream and downstream, using precipitation data fromthe TRMM sensor and Landsat 8 images in different precipitation situations. NDWI, MNDWI and NDTI water spectral indexes werecalculated from Landsat 8 images. The results showed high correlation between the NDTI index and the turbidity (R² = 0.91). Then theNDTI images were reclassified into low, medium and high turbidity. A strong correlation between turbidity and 4 Band correspondingto the spectral range of red (R² = 0.94) was also obtained. The precipitation has a determinant influence, being the Paraná River, in theperiods of greater precipitation, the main agent in sediment transport. The space-time dynamics showed that the lateral compartmentsof the reservoir have less influence on sediment transport. In this sense, our analysis brought new elements to understand the turbidityvariation in these Itaipu Reservoir compartments, as well as the spectral reflectance dynamics in the space-time characterization relatedto turbidity.

Assessment of Reservoir Storage Capacity Loss and Investigating the Effects of Climate Variability on Reservoir Sedimentation in Italy

2021 ◽  
Author(s):  
Epari Ritesh Patro ◽  
Carlo De Michele
Keyword(s):  
Soil Erosion ◽  
Hydrological Modeling ◽  
Sediment Load ◽  
Storage Capacity ◽  
Assessment Tool ◽  
Hydropower Plant ◽  
Reservoir Sedimentation ◽  
Capacity Loss ◽  
Starting Point ◽  
The Future

<p>Reservoir sedimentation has a prominent impact on the hydropower performance in the future and is a growing concern for hydropower stakeholders. Sedimentation caused by soil erosion is influenced by various parameters. Reservoir sedimentation is one of the most challenging problems that affect hydroelectric production since it overall causes a reduction of the reservoir capacity that overcomes the annual increase in storage volume and implies a dangerous net loss of energy. The first part of this study examined various Italian reservoirs (50 dams) to determine sedimentation rates and storage capacity loss based on available bathymetric surveys. All the reservoirs studied here have reached an average age of 74 years as of 2019, with the highest loss of capacity observed at 90% and the highest annual sediment yield of 2471 m<sup>3</sup>/km<sup>2</sup>/year. Out of all the reservoirs studied, 25% of them already have reached their half-life as of 2019. The second part of this study extended the work to the specific case study of the Ceppo Morelli hydropower plant. The study was carried out to analyse the water-sediment interaction, future sediment load and prioritizing of critical soil erosion areas using the Soil and Water Assessment Tool (SWAT). The distinguishing feature of this work lies in the possibility to exploit remote sensing data (i.e. actual/potential evapotranspiration) to successfully calibrate hydrological models in scarce data regions. Simulation results indicated that the discharge and sediment load entering Ceppo Morelli reservoir will decline and the rate of reduction of latter is higher than that of former for all the future climate scenarios implemented. This analysis will provide a starting point for management and prioritization of adaptation and remediation policies for addressing the issue of reservoir sedimentation. These results are part of the RELAID project funded through PRIN-Italy. The aim of this project is to integrate updated knowledge on hydrologic, hydraulics, and sedimentation processes to address the water and flood risk management of impounded Italian rivers through a holistic paradigm.</p><p>Keywords: reservoir sedimentation; hydropower; hydrological modeling; RELAID; Italy</p>

scholarly journals A review of radiometric analysis on soil erosion and deposition studies in Africa

2018 ◽  
Vol 45 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Caroline W. Maina ◽  
Joseph K. Sang ◽  
Benedict M. Mutua ◽  
James M. Raude
Keyword(s):  
Soil Erosion ◽  
Storage Capacity ◽  
Sediment Cores ◽  
Sustainable Use ◽  
Soil Productivity ◽  
Reservoir Sedimentation ◽  
Erosion And Deposition ◽  
Reservoir Storage ◽  
Fallout Radionuclides ◽  
Capacity Loss

Abstract Soil erosion is one of the main soil degradation phenomena that threaten sustainable use of soil productivity thus affecting food security. In addition, it leads to reservoir storage capacity loss because of sedimentation. This not only affects water quantity but also water quality. Worldwide, annual loss in reservoir storage capacity due to sedimentation is 0.5 to 1%. Similarly, about 27% of land in Africa is largely degraded by erosion. As a result, there is need to minimize soil erosion and deposition through site specific estimation of soil erosion and deposition rates in the reservoirs. To achieve this, Fallout RadioNuclides (FRNs) are some of the methods in use. The most common radionuclides include; 137Cs, 210Pb and 7Be. Only few countries in Africa have exploited these FRNs. In these countries, 137Cs has been largely exploited but in some regions, it has been reported to be below minimum detection limit. Using 137Cs and 210Pb, maximum reference inventory in Africa is found to be 1450 and 2602 Bq/m2, respectively. However, there is minimal application of 7Be within the continent. Also, very little has been done in Africa to assess chronology and sedimentation rates of reservoirs using FRNs measured from sediment cores. In conclusion, a gap still exists on FRNs application in Africa in assessing soil erosion, deposition and reservoir sedimentation.

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