Incorporating ecological requirement into multipurpose reservoir operating rule curves for adaptation to climate change

Journal of Hydrology

Volumn 498, Issue , 2013, Pages 153-164

  Zhou, Yanlai ^a   Guo, Shenglian ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Adaptation; Climate change; Ecological requirement; Multipurpose; Reservoir; Rule curve

Indexed keywords

ADAPTATION; ADAPTATION TO CLIMATE CHANGES; ECOLOGICAL REQUIREMENTS; HYDROLOGICAL SIMULATIONS; MULTIPURPOSE; MULTIPURPOSE RESERVOIRS; OPTIMAL RESERVOIR OPERATIONS; RULE CURVES;

COMPUTER SIMULATION; ECOLOGY; FLOOD CONTROL; OPTIMIZATION; RESERVOIRS (WATER);

CLIMATE CHANGE;

CLIMATE CHANGE; ECOLOGICAL MODELING; FLOOD CONTROL; OPTIMIZATION; RIVER BASIN; SIMULATION; STREAMFLOW;

CHINA; DANJIANGKOU RESERVOIR;

EID: 84880358401     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.06.028     Document Type: Article

References (51)

1. Arnell N.W., Delaney E.K. Adapting to climate change: public water supply in England and Wales. Climatic Change 2006, 78(2-4):227-255.
2. Asiabar M.H., Ghodsypour S.H., Kerachian R. Deriving operating policies for multi-objective reservoir systems: application of self-learning genetic algorithm. Applied Soft Computing 2010, 10:1151-1163. 10.1016/j.asoc.2009.08.016.
3. Brekke L.D., Maure E.P., Anderson J.D., et al. Assessing reservoir operations risk under climate change. Water Resources Research 2009, 45. 10.1029/2008WR006941.
4. Buttle J., Muir T., Frain J. Economic impacts of climate change on the Canadian Great lakes hydro-electric power producers: a supply analysis. Canadian Water Resources Journal 2004, 29(2):89-109.
5. Chang F.J., Chen L., Chang L.C. Optimizing the reservoir operating rule curves by genetic algorithms. Hydrological Processes 2005, 19(11):2277-2289.
6. Chen S.T., Yu P.S. Pruning of support vector networks on flood forecasting. Journal of Hydrology 2007, 347(1-2):67-78.
7. Chen L., Mcphee J., Yeh W.W.-G. A diversified multi-objective GA for optimizing reservoir rule curves. Advances in Water Resources 2007, 30(5):1082-1093.
8. Chen H., Guo S.L., Xu C.Y. Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin. Journal of Hydrology 2007, 334:171-184.
9. Chen H., Guo J., Xiong W., et al. Downscaling GCMs using the Smooth Support Vector Machine Method to predict daily precipitation in the Hanjiang Basin. Advances in Atmospheric Science 2009, 10.1007/s00376-00908071-1.
10. Cheng C.T., Wang W.C., Xu D.M., et al. Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos. Water Resources Management 2008, 22(7):895-909.
11. Dejong K.A. An Analysis of the Behavior of a Class of Genetic Adaptive Systems. Ph.D. Dissertation 1975, University of Michigan.
12. Eum H.-I., Simonovic S.P. Integrated reservoir management system for adaptation to climate change: the Nakong River basin in Korea. Water Resources Management 2010, 24:3397-3417.
13. Eum H.-I., Vasan A., Simonovic S.P. Integrated reservoir management system for flood risk assessment under climate change. Water Resources Management 2012, 26:3785-3802.
14. Fowler H.J., Kilsby C.G., O'Connell P.E. Modeling the impacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system. Water Resources Research 2003, 39(8):1222. 10.1029/2002WR001778.
15. Ghosh S., Mujumdar P.P. Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Advances in Water Resources 2008, 31(1):132-146.
16. Grefenstette J.J. Optimization of control parameters for genetic algorithms. IEEE Transaction on Systems, Man and Cybernetics 1986, 16(1):122-128.
17. Guo S.L., Wang J.X., Xiong L.H., et al. A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China. Journal of Hydrology 2002, 268:1-15.
18. Guo S.L., Zhang H.G., Chen H., et al. A reservoir flood forecasting and control system in China. Hydrological Science Journal 2004, 49(6):959-972.
19. Guo S.L., Guo J., Zhang J., et al. VIC distributed hydrological model to predict climate change impact in the Hanjiang basin. Science in China Series E: Technological Sciences 2009, 52(11):3234-3239.
20. Harman C., Stewardson M. Optimizing dam release rules to meet environmental flow targets. River Research and Application 2005, 21:113-129.
21. Hinçal O., Altan-Sakarya B., Ger A.M. Optimization of multi-reservoir systems by genetic algorithm. Water Resources Management 2011, 25(6):1465-1487.
22. Krol M.S., Vries M.J., Oel P.R., et al. Sustainability of small reservoirs and large scale water availability under current conditions and climate change. Water Resources Management 2011, 25:3017-3026.
23. Lee C.S., Chang S.P. Interactive fuzzy optimization for an economic and environmental balance in a river system. Water Research 2005, 39:221-231.
24. Lee Y., Hsieh W., Huang C. ε-SSVR: a smooth support vector machine for insensitive regression. IEEE Trans Knowledge and Data Engineering 2005, 17:678-685.
25. Li L., Xu H., Chen X., et al. Streamflow forecast and reservoir operation performance assessment under climate change. Water Resources Management 2009, 24:83-104.
26. Liang X., Lettenmaier D.P., Wood E.F., et al. A simple hydrologically based model of land surface water and energy fluxes for GCMs. Journal of Geophysical Research 1994, 99(14):415-428.
27. Liu P., Guo S.L., Xiong L.H., et al. Deriving reservoir refill operating rules by using the proposed DPNS model. Water Resources Management 2006, 20(3):337-357.
28. Liu P., Guo S.L., Xiao Y., et al. Derivation of aggregation-based joint operating rule curves for cascade hydropower reservoirs. Water Resources Management 2011, 25(3):3177-3200.
29. Liu P., Cai X.M., Guo S.L. Deriving multiple near-optimal solutions to deterministic reservoir operation problems. Water Resources Research 2011, 47(W08506):1-20. 10.1029/2011WR010998.
30. Liu X.Y., Guo S.L., Liu P., et al. Deriving optimal refill rules for multi-purpose reservoir operation. Water Resources Management 2011, 25:431-448.
31. Lopez A., Fung F., New M., et al. From climate model ensembles to climate change impacts and adaptation: a case study of water resource management in the southwest of England. Water Resources Research 2009, 45:W08419. 10.1029/2008WR007499.
32. Manoj J., Arnold J.G., Gassman P.W., et al. Climate change sensitivity assessment on Upper Mississippi River Basin streamflows using SWAT. Journal of the American Water Resources Association 2006, 42(4):997-1015.
33. Oliveira R., Loucks D.P. Operating rules for multi-reservoir systems. Water Resources Research 1997, 33(4):839-852.
34. Ostadrahimi L., Mariño M.A., Afshar A. Multi-reservoir operation rules: multi-swarm PSO-based optimization approach. Water Resources Management 2012, 26(5):407-427.
35. Raje D., Mujumdar P.P. Reservoir performance and under uncertainty in hydrologic impacts of climate change. Advances in Water Resources 2010, 33:312-326.
36. Reddy M.J., Kumar D.N. Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation. Hydrological Processes 2007, 21(21):2897-2909.
37. Schaffer, J.D., Caruana, R.A., Eshelman, L.J., et al., 1989. A study of control parameters affecting online performance of genetic algorithms for function optimization. In: Proceedings on Third International Conference on Genetic Algorithms, pp. 51-60.
38. Srinivas M., Patnaik L.M. Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Transaction on Systems, Man and Cybernetics 1994, 24(4):656-667.
39. Suen J.P., Eheart J.W. Reservoir management to balance ecosystem and human needs: incorporating the paradigm of the ecological flow regime. Water Resources Research 2006, 42:1-9.
40. Tennant D.L. Instream flow regimes for fish, wildlife, recreation and related environmental resources. Fisheries 1976, 1(4):6-10.
41. Tripathi S., Srinivas V.V., Nanjundiah R.S. Downscaling of precipitation for climate change scenarios: a support vector machine approach. Journal of Hydrology 2006, 330(3-4):621-640.
42. Vapnik V.N. Statistical Learning Theory 1998, Wiley, New York, USA.
43. Wardlaw R., Sharif M. Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management 1999, 125(1):25-33.
44. Wilby R.L., Hay L.E., Leavesley G.H. A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado. Journal of Hydrology 1999, 225(1-2):67-91.
45. Wilby R.L., Whitehead P.G., Wade A.J., et al. Integrated modelling of climate change impacts on water resources and quality in a lowland catchment: River Kennet, UK. Journal of Hydrology 2006, 330:204-220.
46. Wood A.W., Lettenmaier D.P., Palmer R.N. Assessing climate change implications for water resources planning. Climatic Change 1997, 37:203-228.
47. Xie Z.H., Yuan F., Duan Q.Y., et al. Regional parameter estimation of the VIC land surface model: methodology and application to river basin in China. Journal of Hydrometeorology 2007, 8:447-468.
48. Xu C.Y. From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches. Progress in Physical Geography 1999, 23:229-249.
49. Yang N., Mei Y.D., Zhou C. An optimal reservoir operation model based on ecological requirement and its effect on electricity generation. Water Resources Management 2012, 26:3785-3802.
50. Yuan F., Xie Z.H., Liu Q., et al. An application of the VIC-3L land surface model and remote sensing data in simulating streamflow for the Hanjiang River basin. Canadian Journal Remote Sensing 2004, 30(5):680-690.
51. Yuan F., Xie Z.H., Liu Q., et al. Simulating hydrologic changes with climate change scenarios in the Haihe River basin. Pedosphere 2005, 15(5):595-600.