Academic literature on the topic 'Multi-reservoir Systems'

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Journal articles on the topic "Multi-reservoir Systems"

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Archibald, T. W., C. S. Buchanan, L. C. Thomas, and K. I. M. McKinnon. "Controlling multi-reservoir systems." European Journal of Operational Research 129, no. 3 (2001): 619–26. http://dx.doi.org/10.1016/s0377-2217(99)00450-6.

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Alsukni, Emad, Omar Suleiman Arabeyyat, Mohammed A. Awadallah, Laaly Alsamarraie, Iyad Abu-Doush та Mohammed Azmi Al-Betar. "Multiple-Reservoir Scheduling Using β-Hill Climbing Algorithm". Journal of Intelligent Systems 28, № 4 (2019): 559–70. http://dx.doi.org/10.1515/jisys-2017-0159.

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Abstract The multi-reservoir systems optimization problem requires defining a set of rules to recognize the water amount stored and released in accordance with the system constraints. Traditional methods are not suitable for complex multi-reservoir systems with high dimensionality. Recently, metaheuristic-based algorithms such as evolutionary algorithms and local search-based algorithms are successfully used to solve the multi-reservoir systems. β-hill climbing is a recent metaheuristic local search-based algorithm. In this paper, the multi-reservoir systems optimization problem is tackled usi
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Brandão, Joao Luiz B. "Performance of the Equivalent Reservoir Modelling Technique for Multi-Reservoir Hydropower Systems." Water Resources Management 24, no. 12 (2010): 3101–14. http://dx.doi.org/10.1007/s11269-010-9597-9.

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Mariotte, Guilhem, and Ludovic Leclercq. "Flow exchanges in multi-reservoir systems with spillbacks." Transportation Research Part B: Methodological 122 (April 2019): 327–49. http://dx.doi.org/10.1016/j.trb.2019.02.014.

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Huseby, Arne Bang, and Nils F. Haavardsson. "Multi-reservoir production optimization." European Journal of Operational Research 199, no. 1 (2009): 236–51. http://dx.doi.org/10.1016/j.ejor.2008.11.023.

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Tavakoli, S. Kamyar, and André Longtin. "Signal demixing using multi-delay multi-layer reservoir computing." PLOS Complex Systems 2, no. 2 (2025): e0000034. https://doi.org/10.1371/journal.pcsy.0000034.

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Brain circuitry involves a large number of recurrent feedback loops whose dynamics depend on interaction delays. Brain-inspired reservoir computing leverages the rich recurrent dynamics of interconnected units for performing tasks on inputs. In particular, time-delay reservoir computing uses the high-dimensional transient dynamics in nonlinear delayed feedback loop architectures for e.g. time series prediction and speech classification. The modification of the dynamical properties of delay-differential systems through the inclusion of multiple delays has also recently been shown to improve the
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Afshar, Mohammad Hadi, and Reza Hajiabadi. "Application of Cellular Automata in Bi-Objective Operation of Multi Reservoir Systems." Water 13, no. 19 (2021): 2740. http://dx.doi.org/10.3390/w13192740.

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Optimal operation of multi-reservoir systems is one the most challenging problems in water resource management due to their multi-objective nature and time-consuming solving process. In this paper, Multi-Reservoir Parallel Cellular Automata-Simulated Annealing (MPCA-SA), a hybrid method based on cellular automata and simulated annealing is presented for solving bi-objective operations of multi-reservoir systems problems. The problem considers the bi-objective operation of a multi-reservoir system with the two conflicting objectives of water supply and hydropower generation. The MPCA-SA method
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Afshar, Abbas, Mahyar Shafii, and Omid Bozorg Haddad. "Optimizing multi-reservoir operation rules: an improved HBMO approach." Journal of Hydroinformatics 13, no. 1 (2010): 121–39. http://dx.doi.org/10.2166/hydro.2010.061.

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We present an improved version of Honey Bees Mating Optimization (HBMO) algorithm to develop operating rules for multi-reservoir systems. The performance of the proposed model is tested through sensitivity analysis and comparing the result with those of a real-coded Genetic Algorithm (GA) for a 60-month period single-reservoir operation problem. The improved model is subsequently employed to derive release rule and storage balancing functions which form operating policy for a multi-reservoir system along two case examples: (i) water supply and (ii) hydropower generation. The obtained operating
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Mousavi, Hirad, and A. S. Ramamurthy. "Optimal design of multi-reservoir systems for water supply." Advances in Water Resources 23, no. 6 (2000): 613–24. http://dx.doi.org/10.1016/s0309-1708(99)00053-6.

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Amado, Sergio M., and Celso C. Ribeiro. "Short-Term Generation Scheduling of Hydraulic Multi-Reservoir Multi-Area Interconnected Systems." IEEE Power Engineering Review PER-7, no. 8 (1987): 53–54. http://dx.doi.org/10.1109/mper.1987.5527068.

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Dissertations / Theses on the topic "Multi-reservoir Systems"

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Sharif, Mohammed. "Multi reservoir systems optimisation using genetic algorithms." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/14390.

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The operation of multiple reservoir systems for sometimes conflicting purposes can be a complex process because of the involvement of a large number of decision variables and constraints. Dynamic programming (DP) has long been recognised as a powerful approach in the analysis of water resource systems. The usefulness of DP for multi-reservoir systems is, however, limited by the huge demand that it can induce on computational resources. Many forms of DP have been developed to alleviate the problem of dimensionality with varying degrees of success but no general algorithm exists. This thesis des
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Archila, Daniel. "Development and evaluation of a multi-objective optimization model for multi-reservoir systems." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/51894.

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The BC Hydro and Power Authority is the largest electric utility in the province of British Columbia, Canada. With a generating capacity of more than 12,000 MW, it serves almost 2 million customers in the province. It operates 31 hydroelectric facilities, most of them located in multi-reservoir systems. In order to facilitate the operation of these reservoirs, BC Hydro developed an in-house application called the Operations Planning Tool (OPT), a deterministic Linear Programming (LP) model that provides the optimal operation of the multi-reservoir systems considering multiple purposes. The obj
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Mata, Domingo A. "Validation of a new technique of production data analysis for single and multi-layer formations under controlled environment." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5369.

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Thesis (M.S.)--West Virginia University, 2007.<br>Title from document title page. Document formatted into pages; contains viii, 105 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 95).
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Maddock, Thomas III, and Laurel J. Lacher. "MODRSP: a program to calculate drawdown, velocity, storage and capture response functions for multi-aquifer systems." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1991. http://hdl.handle.net/10150/620142.

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MODRSP is program used for calculating drawdown, velocity, storage losses and capture response functions for multi - aquifer ground -water flow systems. Capture is defined as the sum of the increase in aquifer recharge and decrease in aquifer discharge as a result of an applied stress from pumping [Bredehoeft et al., 19821. The capture phenomena treated by MODRSP are stream- aquifer leakance, reduction of evapotranspiration losses, leakance from adjacent aquifers, flows to and from prescribed head boundaries and increases or decreases in natural recharge or discharge from head dependent
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Madani, Hadi. "Application of reservoir simulation and flow routing models to the operation of multi-reservoir system in terms of flood controlling and hydropower’s regulation." Thesis, KTH, Mark- och vattenteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171853.

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Dams are amongst the most important components of water resource systems. In many places the water regulated by and stored in dams is essential to meet the development objectives of water supply, flood control, agriculture (i.e. irrigation and livestock), industry, energy generation and other sectors. Previous studies (Gourbesvive, 2008) indicate that in the next 30 years water use will increase by 50% in the world. By 2025 about 4 billion people will live under conditions of severe water stress. Continuous deterioration in water quality in most developing countries is additional challenge. Th
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Payne, Ariane. "Rôle de la faune sauvage dans le système multi-hôtes de Mycobacterium bovis et risque de transmission entre faune sauvage et bovins : étude expérimentale en Côte d’Or." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10040/document.

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La tuberculose bovine causée par Mycobacterium bovis (M. bovis) est une zoonose multi-hôtes. Outre les bovins, elle peut être transmise à des populations sauvages variées dont certaines peuvent entretenir l'infection et/ou la retransmettre aux bovins, pouvant empêcher leur assainissement. Les conditions de persistance de M. bovis dans les populations sauvages ont été étudiées dans différentes régions du monde, mettant en lumière des statuts épidémiologiques variables selon les espèces et les contextes géographiques, cynégétiques et zootechniques. Notre objectif était de déterminer le rôle des
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Müller, Ruben. "Eine neue Strategie zur multikriteriellen simulationsbasierten Bewirtschaftungsoptimierung von Mehrzweck-Talsperrenverbundsystemen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160659.

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Wasserwirtschaftliche Speichersysteme sind unverzichtbar, um weltweit die Trinkwasserversorgung, Nahrungsmittelproduktion und Energieversorgung sicherzustellen. Die multikriterielle simulationsbasierte Optimierung (MK-SBO) ist eine leistungsfähige Methodik, um für Mehrzweck-Talsperrenverbundsysteme (MZ-TVS) eine Pareto-optimale Menge an Kompromisslösungen zwischen konträren Zielen bereitzustellen. Der rechentechnische Aufwand steigt jedoch linear mit der Länge des Simulationszeitraums der Talsperrenbewirtschaftung an. Folglich begrenzen sich MK-SBO-Studien bisher auf Simulationszeiträume von w
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Nguyen, Thanh Hao. "Gestion optimale d’un système multi-réservoirs pour le contrôle des crues : Application au bassin versant du Vu Gia Thu Bon, Vietnam." Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4027.

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Ce travail de recherche a comme objectif de développer les méthodes d’évaluation des opérations des retenues, nécessaires à la protection contre les crues du bassin versant Vu Gia Thu Bon. La stratégie de contrôle des crues est basée sur un modèle qui associe simulation-optimisation. La fonction objective consiste à minimiser les dégâts totaux d’inondation qui dépend des débits ou des hauteurs d’eau dans les secteurs aval.La méthode proposée comporte trois composants majeurs : (1) la simulation des débits et des niveaux d'eau réalisée par un modèle hydraulique 1D ; (2) la simulation des opérat
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Shrivastava, Rakesh Kumar. "On-line reservoir operation model for multi-reservoir systems." Thesis, 1989. http://localhost:8080/iit/handle/2074/5874.

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Marcos, Marcel. "Development of a model to optimize irrigation planning for multi-reservoir systems." Thesis, 1996. http://spectrum.library.concordia.ca/2998/1/MM18416.pdf.

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Books on the topic "Multi-reservoir Systems"

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Archibald, T. W. An aggregate stochastic dynamic programming model of multi-reservoir systems. University of Edinburgh, Management School, 1996.

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Chmielowski, Wojciech Z. Management of Complex Multi-reservoir Water Distribution Systems using Advanced Control Theoretic Tools and Techniques. Springer International Publishing, 2013.

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Chmielowski, Wojciech Z. Management of Complex Multi-reservoir Water Distribution Systems using Advanced Control Theoretic Tools and Techniques. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00239-2.

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Ponnambalam, Kumaraswamy *. Optimization of the integrated operation of multi-reservoir irrigation systems. 1987.

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Chmielowski, Wojciech Z. Management of Complex Multi-Reservoir Water Distribution Systems Using Advanced Control Theoretic Tools and Techniques. Springer International Publishing AG, 2013.

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Li, Shengyang. Adaptive Multi-Reservoir-Based Flood Control and Management for the Yellow River: Towards a Next Generation Software System - UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2013.

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Book chapters on the topic "Multi-reservoir Systems"

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Čerňanský, Michal, and Iveta Dirgová Luptáková. "Multi-reservoir Echo State Networks with Encoders." In Artificial Intelligence Trends in Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09076-9_43.

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Takeda, Daisuke, Junya Kato, Ryo Natsuaki, and Akira Hirose. "Geographical Multi-reservoir Computing Systems for Local Population Forecasting." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6963-9_10.

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Chang, F. J., Y. C. Lo, P. A. Chen, L. C. Chang, and M. C. Shieh. "Multi-Step-Ahead Reservoir Inflow Forecasting by Artificial Intelligence Techniques." In Knowledge-Based Information Systems in Practice. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13545-8_14.

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Agrell, Per J., Antonie Stam, and Barbara J. Lence. "Second-Generation Interactive Multi-Criteria Decision Making in Reservoir Management." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45772-2_27.

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Fletcher, S., M. Bessa, K. Ponnambalam, and W. F. Curi. "A Comparison of Stochastic Optimization Methods for Multi-Reservoir Systems." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-3081-5_31.

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Verma, Shashikant, A. D. Prasad, and Mani Kant Verma. "Optimizing Multi-reservoir Systems with the Aid of Genetic Algorithm: Mahanadi Reservoir Project Complex, Chhattisgarh." In Springer Geography. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16217-6_3.

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Kojiri, T. "Systems analysis in multi-dam reservoir systems including water quantity and quality controls." In Environmental Geotechnics and Problematic Soils and Rocks. CRC Press, 2021. http://dx.doi.org/10.1201/9781003211051-4.

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Adams, B. J., and K. Ponnambalam. "An Algorithm for Determining Closed-Loop Operations Policies for Multi-Reservoir Systems." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-3081-5_29.

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Zéphyr, Luckny, Pascal Lang, Bernard F. Lamond, and Pascal Côté. "Controlled Approximation of the Stochastic Dynamic Programming Value Function for Multi-Reservoir Systems." In Lecture Notes in Economics and Mathematical Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20430-7_5.

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Li, Zheng, Chunsheng Feng, Shi Shu, and Chen-Song Zhang. "Accelerating Reservoir Simulation on Multi-core and Many-Core Architectures with Graph Coloring ILU(k)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38789-5_31.

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Conference papers on the topic "Multi-reservoir Systems"

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Souli, Nicolas, Panayiotis Kardaras, Yiannis Grigoriou, Panayiotis Kolios, and Georgios Ellinas. "Onboard UAV State Estimation and Trajectory Prediction Using Multi-Task Reservoir Computing." In 2025 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2025. https://doi.org/10.1109/icuas65942.2025.11007856.

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Tran, Cong Quoc, Shang Jiang, and Mehdi Keyvan-Ekbatani. "Dial-a-Ride Problem Considering Urban Traffic Dynamics in Multi-Reservoir Systems." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10920093.

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Ahmed, Iftekhar, and Kevin E. Lansey. "Optimal Operation of Multi-Reservoir Systems under Uncertainty." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)147.

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Faber, Beth A., and Julien J. Harou. "Multi-objective Optimization of Reservoir Systems Using HEC-ResPRM." In World Environmental and Water Resources Congress 2007. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)556.

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Sun, Qifeng, Youxiang Duan, Fan Liu, and Hongqiang Li. "Application of Improved Multi-Threshold Birch Clustering in Reservoir Prediction." In 2019 6th International Conference on Systems and Informatics (ICSAI). IEEE, 2019. http://dx.doi.org/10.1109/icsai48974.2019.9010070.

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Liu, Hui, Kun Wang, Zhangxin Chen, and Kirk E. Jordan. "Efficient Multi-stage Preconditioners for Highly Heterogeneous Reservoir Simulations on Parallel Distributed Systems." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/173208-ms.

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Guohua, Liang, Wang Guoli, and Xi Shufeng. "A Multi-reservoir Flood Operating System Based on Fuzzy Messages." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.643.

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Lamond, B. F., and P. Lang. "Stochastic optimization of multi-reservoir systems with power plants and spillways." In RIVER BASIN MANAGEMENT 2007. WIT Press, 2007. http://dx.doi.org/10.2495/rm070041.

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Yanjun, Kong, Mei Yadong, Li Weinan, Wang Xianxun, and Ben Yue. "An enhanced water cycle algorithm for optimization of multi-reservoir systems." In 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS). IEEE, 2017. http://dx.doi.org/10.1109/icis.2017.7960022.

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Zhang, Junhua, Hao Ge, Mingyou Tan, Haiyun Chen, and Shiling Cui. "The Exploration of Buried Hill Reservoir By Multi-Scale Coherence Analysis." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5073185.

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Reports on the topic "Multi-reservoir Systems"

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McDonald, Jacob, Eric Starkey, and Wendy Wright. Wadeable stream suitability assessment for long-term monitoring: Congaree National Park. National Park Service, 2018. https://doi.org/10.36967/2256949.

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The Southeast Coast Network (SECN) initiated a monitoring effort to assess habitat conditions in wadeable streams at national parks, recreation areas, battlefields, and monuments in Alabama, Georgia, and South Carolina (McDonald et al. 2018a). These parks include Chattahoochee River National Recreation Area, Kennesaw Mountain National Battlefield Park, Congaree National Park, Horseshoe Bend National Military Park, and Ocmulgee National Monument. Wadeable stream monitoring, implemented in 2016, focuses specifically on providing relevant data to assess the physical condition of Piedmont and uppe
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