scholarly journals Reservoir Sedimentation Volume Changing Analysis of Pangsar Soedirman Dam Through USLE Based Rainfall Characteristics

Teknik ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 120
Author(s):  
Teguh - Marhendi
Keyword(s):  
Reservoir Sedimentation ◽  
Rainfall Characteristics ◽  
Sedimentation Volume ◽  
Dead Storage

Penelitian ini dimaksudkan untuk menganalisis pengaruh karakteristik curah hujan di daerah tangkapan air Waduk Pangsar Sudirman terhadap peningkatan sedimentasi Waduk. Penelitian dilakukan menggunakan formula USLE dengan faktor curah hujan (erosivitas) di DTA Waduk Pangsar Soedirman sebagai penentu. Data  laju sedimentasi waduk tahun 1989-2010 digunakan sebagai verifikasi hasil analisis. Hasil penelitian menunjukkan DTA Waduk Pangsar Soedirman memiliki curah hujan tahunan rata-rata sebesar 3.900 mm/tahun.  Karakteristik curah hujan ini menyebabkan potensi kejadian erosi  dan sedimentasi cukup besar. Volume sedimen di Waduk Pangsar Soedirman  sejak tahun 1989 hingga 2010, mencapai  92,77 juta m3 atau  sekitar 60 % dari volume dead storage dengan  volume inflow rata-rata sedimen mencapai 4,2 juta m3/tahun.

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 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

Đặc điểm phân bố mưa trên lãnh thổ Việt Nam

2008 ◽  
Vol 30 (4) ◽  
pp. 418-426
Author(s):  
Phạm Xuân Thành ◽  
Nguyễn Xuân Anh ◽  
Lê Việt Huy ◽  
Lê Như Quân ◽  
Bernard Fontaine ◽  
...  
Keyword(s):  
Viet Nam ◽  
Rainfall Characteristics ◽  
Temporal Study

Spatial and temporal study of rainfall characteristics over Vietnam

RESERVOIR SEDIMENTATION ESTIMATES AND LANDSLIDE SUSCEPTIBILITY IN PUERTO RICO AFTER HURRICANE MARIA

2018 ◽  
Author(s):  
Sahira Monic Cancel Vázquez ◽  
◽  
Edwin Omar Irizarry Brugman ◽  
K. Stephen Hughes
Keyword(s):  
Puerto Rico ◽  
Landslide Susceptibility ◽  
Reservoir Sedimentation

scholarly journals Cross Validation of Rainfall Characteristics Estimated from the TRMM PR, a Combined PR–TMI Algorithm, and a C-POL Ground Radar during the Passage of Tropical Cyclone and Nontropical Cyclone Events over Darwin, Australia

2018 ◽  
Vol 35 (12) ◽  
pp. 2339-2358 ◽  
Author(s):  
Anil Deo ◽  
S. Joseph Munchak ◽  
Kevin J. E. Walsh
Keyword(s):  
Tropical Cyclone ◽  
Tropical Rainfall Measuring Mission ◽  
Rainfall Rate ◽  
Rainfall Characteristics ◽  
Significant Difference ◽  
Median Volume ◽  
Precipitation Type ◽  
Correct Direction ◽  
Microwave Imager ◽  
Trmm Microwave Imager

AbstractThis study cross validates the radar reflectivity Z; the rainfall drop size distribution parameter (median volume diameter Do); and the rainfall rate R estimated from the Tropical Rainfall Measuring Mission (TRMM) satellite Precipitation Radar (PR), a combined PR and TRMM Microwave Imager (TMI) algorithm (COM), and a C-band dual-polarized ground radar (GR) for TRMM overpasses during the passage of tropical cyclone (TC) and non-TC events over Darwin, Australia. Two overpass events during the passage of TC Carlos and 11 non-TC overpass events are used in this study, and the GR is taken as the reference. It is shown that the correspondence is dependent on the precipitation type whereby events with more (less) stratiform rainfall usually have a positive (negative) bias in the reflectivity and the rainfall rate, whereas in the Do the bias is generally positive but small (large). The COM reflectivity estimates are similar to the PR, but it has a smaller bias in the Do for most of the greater stratiform events. This suggests that combining the TMI with the PR adjusts the Do toward the “correct” direction if the GR is taken as the reference. Moreover, the association between the TRMM estimates and the GR for the two TC events, which are highly stratiform in nature, is similar to that observed for the highly stratiform non-TC events (there is no significant difference), but it differs considerably from that observed for the majority of the highly convective non-TC events.

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