참고문헌 (22)

1. 건설교통부(2016), 「제4차 수자원 장기종합계획(2001-2020) 제3차 수정계획」 

2. 관계부처합동(2020), 「제3차 국가 기후변화 적응대책(2021-2025)」 

3. 진영규 등 (2017), "댐 용수 공급 조정기준의 가뭄 대응능력 평가." 물과 미래, 50(2), 35-40. 

   원문보기 상세보기

4. Adams et al. (2017), Environmental hedging: A theory and method for reconciling reservoir operations for downstream ecology and water supply, Water Resources Research, 53(9), pp.7816-7831. 

   상세보기

5. Ashofteh et al. (2015), Evaluation of climatic-change impacts on multiobjective reservoir operation with multiobjective genetic programming. Journal of Water Resources Planning and Management, 141(11), 04015030. 

   상세보기

6. Ashrafi et al. (2021), Two-stage metaheuristic mixed Integer nonlinear programming approach to extract optimum hedging rules for multireservoir systems, journal of water resources planning and management. 147(10), 04021070. 

   상세보기

7. Chang et al. (2019), Reservoir operations to mitigate drought effects with a hedging policy triggered by the drought prevention limiting water level, water resources research, 55, pp.904-922. 

   상세보기

8. Fallah-Mehdipour et al. (2012), Real-time operation of reservoir system by genetic programming. Water resources management, 26(14), pp.4091-4103. 

   상세보기

9. Jahandideh-Tehrani et al. (2020), Application of particle swarm optimization to water management: an introduction and overview. Environmental monitoring and assessment, 192(5), pp.1-18. 

   상세보기

10. Giuliani et al. (2016), Curses, tradeoffs, and scalable management: Advancing evolutionary multiobjective direct policy search to improve water reservoir operations. Journal of Water Resources Planning and Management, 142(2), 04015050. 

    상세보기

11. Kim (2022), Improving on-site reservoir operation policies by robust and adaptive optimization models, Ph.D. thesis, seoul national university. 

12. Kim and Kim (2021), How does the coupling of real-World policies with optimization models expand the practicality of solutions in reservoir operation problems? water resources management, 35, pp.3121-3137. 

    상세보기

13. Kim and Palmer (1997), Value of seasonal flow forecasts in Bayesian stochastic programming. Journal of Water Resources Planning and Management, 123(6), pp.327-335. 

    상세보기

14. Kim et al. (2007), Optimizing operational policies of a Korean multireservoir system using sampling stochastic dynamic programming with ensemble streamflow prediction. Journal of Water Resources Planning and Management, 133(1), pp.4-14. 

    상세보기

15. Kumar and Reddy (2007), Multipurpose reservoir operation using particle swarm optimization. Journal of Water Resources Planning and Management, 133(3), pp.192-201. 

    상세보기

16. Labadie (2004), Optimal operation of multireservoir systems: State-of-the-art review, Journal of water resources planning and management. 130(2), pp.93-111. 

    상세보기

17. Seo et al. (2019), Time-varying discrete hedging rules for drought contingency plan considering long-range dependency in streamflow, water resources management, 33, pp.2791-2807. 

    상세보기

18. Quinn et al. (2017), Direct policy search for robust multi-objective management of deeply uncertain socio-ecological tipping points. Environmental Modelling & Software, 92, pp.125-141. 

    상세보기

19. Shepherd (1998), Drought contingency planning: Evaluating the effectiveness of plans, Journal of Water Resources Planning and Management. 124(5), pp.246-251. 

    상세보기

20. Stedinger et al. (1984), Stochastic dynamic programming models for reservoir operation optimization, Water Resources Research. 20(11), pp.1499-1505. 

    상세보기

21. Tejada-Guibert et al. (1995), The value of hydrologic information in stochastic dynamic programming models of a multireservoir system. Water Resources Research, 31(10), pp.2571-2579. 

    상세보기

22. Tu et al. (2003), Optimization of reservoir management and operation with hedging rules, Journal of Water Resources Planning and Management. 129(2), pp.86-97. 

    상세보기

저자의 다른 논문 :

김영오 (61)