Long-Term Water Management Model for Preserving Sustainable Useful Capacity of Reservoirs
Tóm tắt
In this study, we present a long-term water management model which can be an important tool for the ordinary management of a reservoir. The model can be made simple and applicable in a graphic form. The key point of the model is that the sedimentation rate of solids can be modeled according to a power law. The basic equation of the model is tested using bathymetric surveys of different dams located in different parts of the world. Robustness and predictive power are evaluated both numerically and by comparison with satellite results. Then the model is transformed into the form of a management plot and applied to the real case of the Camastra dam.
Tài liệu tham khảo
Brown C (1943) Discussion of sedimentation in reservoirs. In: Proc. ASCE
Brune GM (1953) Trap efficiency of reservoirs. EOS Trans Am Geophys Union 34(3):407–418
Bufalo G, Florio C, Cinelli G, Lopez F, Cuomo F, Ambrosone L (2018) Principles of minimal wrecking and maximum separation of solid waste to innovate tanning industries and reduce their environmental impact: The case of paperboard manufacture. J Clean Prod 174:324–332
Campos R (2001) Three-dimensional reservoir sedimentation model. PhD thesis, University of Newcastle upon Tyne
Castro PW, Mantilla CA (2021) Implementation of strategies for the management of dams with sedimented reservoirs. Water Resour Manage 35(13):4399–4413
Ceylan A, Karabork H, Ekozoglu I (2011) An analysis of bathymetric changes in altinapa reservoir. Carpathian J Earth Environ Sci 6(2):15–24
Chen CN (1975) Design of sediment retention basins. In: Proceedings of the National Symposium on Urban Hydrology and Sediment Control, July 28-31, 1975., UKY BU109
Churchill M (1948) Discussion of analysis and use of reservoir sedimentation data. In: Proceedings of the Federal Interagency Sedimentation Conference. Bureau of Reclamation, US Department of the Interior, Washington, DC, pp 139–140
Cimorelli L, Covelli C, De Vincenzo A, Pianese D, Molino B (2021) Sedimentation in reservoirs: Evaluation of return periods related to operational failures of water supply reservoirs with monte carlo simulation. J Water Resour Plan Manag 147(1):04020096
Covelli C, Cimorelli L, Pagliuca DN, Molino B, Pianese D (2020) Assessment of erosion in river basins: A distributed model to estimate the sediment production over watersheds by a 3-dimensional ls factor in rusle model. Hydrology 7(1):13
Dalu T, Tambara EM, Clegg B, Chari LD, Nhiwatiwa T (2013) Modeling sedimentation rates of malilangwe reservoir in the south-eastern lowveld of zimbabwe. Appl Water Sci 3(1):133–144
DeVilliers J, Basson G (2007) Modelling of long-term sedimentation at welbedacht reservoir, south africa. Journal of the South African Institution of Civil Engineering= Joernaal van die Suid-Afrikaanse Instituut van Siviele Ingenieurswese 49(4):10–18
Espinosa-Villegas CO, Schnoor JL (2009) Comparison of long-term observed sediment trap efficiency with empirical equations for coralville reservoir, iowa. J Environ Eng 135(7):518–525
Gaubi I, Chaabani A, Ben Mammou A, Hamza M (2017) A gis-based soil erosion prediction using the revised universal soil loss equation (rusle)(lebna watershed, cap bon, tunisia). Nat Hazards 86(1):219–239
Heinemarm H (1981) A new sediment trap efficiency curve for small reservoirs 1. JAWRA J Am Water Resour Assoc 17(5):825–830
Jain SK, Jain SK, Sharma K (2005) Estimation of soil erosion and sedimentation in ramganga reservoir (india) using remote sensing. Sediment Budgets 292:315
Khagram S (2018) Dams and development. Cornell University Press
Khan S, Nazar AM (2015) Studies on the management of sediment characteristics of vaigai reservoir. Int J Adv Res Manag Soc Sci 4(4):312–321
Kim HS, Julien PY (2006) Soil erosion modeling using rusle and gis on the imha watershed. Water Eng Res 7(1):29–41
Merina NR, Sashikkumar M, Rizvana N, Adlin R (2016) Sedimentation study in a reservoir using remote sensing technique. Appl Ecol Environ Res 14(4):296–304
Mirauda D, Pannone M, De Vincenzo A (2018) An entropic model for the assessment of streamwise velocity dip in wide open channels. Entropy 20(1):69
Molino B, Bufalo G, De Vincenzo A, Ambrosone L (2020) Semiempirical model for assessing dewatering process by flocculation of dredged sludge in an artificial reservoir. Appl Sci 10(9):3051
Ortt RA, VanRyswick S, Wells D (2007) Bathymetry and sediment accumulation of triadelphia and rocky gorge reservoirs. Maryland Dept of Natural Resources, Maryland Geological Survey, Coastal and Estuarine Geology, Baltimore
Ranzi R, Le TH, Rulli MC (2012) A rusle approach to model suspended sediment load in the lo river (vietnam): Effects of reservoirs and land use changes. J Hydrol 422:17–29
Renard KG, Foster R, Weesies G, Porter G (1991) C rusle: Revised universal soil loss equation. J Soil Water Conserv 46:30–33
Shukla S, Jain SK, Kansal M, Chandniha SK (2017) Assessment of sedimentation in pong and bhakra reservoirs in himachal pradesh, india, using geospatial technique. Remote Sensing Applications: Society and Environment 8:148–156
Stroud PD, Sydoriak SJ, Riese JM, Smith JP, Mniszewski SM, Romero PR (2006) Semi-empirical power-law scaling of new infection rate to model epidemic dynamics with inhomogeneous mixing. Math Biosci 203(2):301–318
Tanyaş H, Kolat Ç, Süzen ML (2015) A new approach to estimate cover-management factor of rusle and validation of rusle model in the watershed of kartalkaya dam. J Hydrol 528:584–598
Tiller FM, Khatib Z (1984) The theory of sediment volumes of compressible, particulate structures. J Colloid Interface Sci 100(1):55–67
Tsolakidis I, Vafiadis M (2019) Comparison of hydrographic survey and satellite bathymetry in monitoring kerkini reservoir storage. Environmental Processes 6(4):1031–1049
Tundu C, Tumbare MJ, Kileshye Onema JM (2018) Sedimentation and its impacts/effects on river system and reservoir water quality: case study of mazowe catchment, zimbabwe. Proc Int Assoc Hydrol Sci 377:57–66
Xiaoqing Y, Yang X (2003) Manual on sediment management and measurement. Secretariat of the World Meteorological Organization Geneva