A systematical water allocation scheme for drought mitigation

Journal of Hydrology

Volumn 507, Issue , 2013, Pages 124-133

  Chang, Fi John ^a   Wang, Kuo Wei ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Drought mitigation; Reservoir operation; Surface water; System analysis; Water allocation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL STORAGE; DROUGHT; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; IRRIGATION; MANAGEMENT; MANAGERS; SURFACE WATERS; SYSTEMS ANALYSIS; TRACKING (POSITION); WATER SUPPLY;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENCE TECHNIQUES; DROUGHT MITIGATION; HYDROLOGICAL CONDITION; IRRIGATION WATER SUPPLY; RESERVOIR OPERATION; WATER ALLOCATIONS; WATER RESOURCES MANAGEMENT;

RESERVOIRS (WATER);

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DROUGHT; FUZZY MATHEMATICS; HYDROLOGICAL MODELING; OPTIMIZATION; SIMULATION; SOCIOECONOMIC CONDITIONS; UNCERTAINTY ANALYSIS; WATER MANAGEMENT; WATER STORAGE;

SHIHMEN RESERVOIR; TAIWAN;

EID: 84887517081     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.10.027     Document Type: Article

References (56)

1. Bacanli U.G., Firat M., Dikbas F. Adaptive neuro-fuzzy inference system for drought forecasting. Stoch. Env. Res. Risk A 2009, 23(8):1143-1154.
2. Bellamy J.A., Walker D.H., McDonald G.T., Syme G.J. A systems approach to the evaluation of natural resource management initiatives. J. Environ. Manage. 2001, 63(4):407-423.
3. Bruen M. Systems Analysis - a new paradigm and decision support tools for the water framework directive. Hydrol. Earth Syst. Sci. 2008, 12:739-749.
4. Cai X., McKinney D.C., Lasdon L.S. A framework for sustainability analysis in water resources management and application to the Syr Darya Basin. Water Resour. Res. 2002, 38(6):21/1-21/14.
5. Chandramouli V., Raman H. Multireservoir modeling with dynamic programming and neural network. J. Water Resour. Plan. Manage. 2001, 127(2):89-98.
6. Chang F.J., Chang Y.T. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Adv. Water Resour. 2006, 29(1):1-10.
7. Chang L.C., Chang F.J. Intelligent control for modeling of real time reservoir operation. Hydrol. Process. 2001, 15(9):1621-1634.
8. Chang L.C., Chang F.J., Hsu H.C. Real-time reservoir operation for flood control using artificial intelligent techniques. Int. J. Nonlin. Sci. Num. 2010, 11(11):887-902.
9. Chang Y.T., Chang L.C., Chang F.J. Intelligent control for modeling of real-time reservoir operation, part II: artificial neural network with operating rule curves. Hydrol. Process. 2005, 19(7):1431-1444.
10. Chiang Y.M., Chang L.C., Tsai M.J., Wang Y.F., Chang F.J. Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks. Hydrol. Earth Syst. Sci. 2011, 15:185-196.
11. Chaves P., Chang F.J. Intelligent reservoir operation system based on evolving artificial neural networks. Adv. Water Resour. 2008, 31:926-936.
12. Chen Y.H., Chang F.J. Evolutionary artificial neural networks for hydrological systems forecasting. J. Hydrol. 2009, 367(1-2):125-137.
13. Cutore P., Di Mauro G., Cancelliere A. Forecasting palmer index using neural networks and climatic indexes. J. Hydrol. Eng. 2009, 14(6):588-595.
14. Davidson B., Malano H., Nawarathna B., Maheshwari B. The hydrological and economic impacts of changing water allocation in political regions within the peri-urban south creek catchment in Western Sydney I: model development. J. Hydrol. 2013, 499:339-348.
15. Dogan E., Gumrukcuoglu M., Sandalci M., Opan M. Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems. Eng. Appl. Artif. Intel. 2010, 23(6):961-967.
16. Dursun O.F., Kaya N., Firat M. Estimating discharge coefficient of semi-elliptical side weir using ANFIS. J. Hydrol. 2012, 426-427:55-62.
17. Elshorbagy A. Multicriterion decision analysis approach to assess the utility of watershed modeling for management decisions. Water Resour. Res. 2006, 42:W09407.
18. George B., Malano H., Davidson B., Hellegers P., Bharati L., Massuel S. An integrated hydro-economic modelling framework to evaluate water allocation strategies I: model development. Agr. Water Manage. 2011, 98(5):733-746.
19. Gong L., Jin C. Fuzzy comprehensive evaluation for carrying capacity of regional water resources. Water Resour. Manage. 2009, 23:2505-2513.
20. Hajkowicz S., Collins K. A review of multiple criteria analysis for water resource planning and management. Water Resour. Manage. 2007, 21:1553-1566.
21. Huang W.C., Chou C.C. Drought early warning system in reservoir operation: theory and practice. Water Resour. Res. 2005, 41:W11406.
22. Huang W.C., Chou C.C. Risk-based drought early warning system in reservoir operation. Adv. Water Resour. 2008, 31:649-660.
23. Huang W.C., Yuan L.C. A drought early warning system on real-time multireservoir operations. Water Resour. Res. 2004, 40:W06401.
24. Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man. Cyb. 1993, 23:665-685.
25. Karbowski A., Malinowski K., Niewiadomska-Szynkiewicz E. A hybrid analytic rule-based approach to reservoir system management during flood. Decis. Support Syst. 2005, 38(4):599-610.
26. Karimi S., Kisi O., Shiri J., Makarynskyy O. Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia. Comput. Geosci. 2013, 52:50-59.
27. Kisi O., Shiri J., Nikoofar B. Forecasting daily lake levels using artificial intelligence approaches. Comput. Geosci. 2012, 41:169-180.
28. Lee, Y.C., Tzeng, L.K., Tzeng, J.S., 2005. Irrigation water management strategies for mass fallow land. In: 2005 Conference on Paddy Farming Multi-Functionality, Taichung, R.O.C., pp. 109-122.
29. Liu J., Savenije H.H.G. Food consumption patterns and their effect on water requirement in China. Hydrol. Earth Syst. Sci. 2008, 12(3):887-898.
30. Lohani V.K., Loganathan G.V. An early warning system for drought management using the Palmer drought index. J. Am. Water Resour. As. 1997, 33(6):1375-1386.
31. Lohani A.K., Kumar R., Singh R.D. Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques. J. Hydrol. 2012, 442-443:23-35.
32. Mishra A.K., Singh V.P. Drought modeling - a review. J. Hydrol. 2011, 403(1):157-175.
33. Mousavi S.J., Shourian M. Adaptive sequentially space-filling meta modeling applied in optimal water quantity allocation at basin scale. Water Resour. Res. 2010, 46:W03520.
34. Nourani V., Kisi Ö., Komasi M. Two hybrid Artificial Intelligence approaches for modeling rainfall-runoff process. J. Hydrol. 2011, 402(1-2):41-59.
35. OECD, 2010. Sustainable Management of Water Resources in Agriculture.
36. Pereira, L.S., Cordery, I., Iacovides, I., 2012. Coping with water scarcity An action framework for agriculture and food security. FAO Water, Report, 38.
37. Ponnambalam K., Karray F., Mousavi S.J. Minimizing variance of reservoir system operations benefits using soft computing tools. Fuzzy Set. Syst. 2003, 139(2):451-461.
38. Quiroga S., Ferńandez-Haddad Z., Iglesias A. Crop yields response to water pressures in the Ebro basin in Spain: risk and water policy implications. Hydrol. Earth Syst. Sci. 2011, 15:505-518.
39. Sabu P., Sudhindra N.P. Optimal irrigation allocation: a multilevel approach. J. Irrig. Drain. Eng. 2000, 126(3):149-156.
40. Sivakumar M.V.K., Glinni A.F. Applications of crop growth models in the semiarid regions. Agricultural System Models in Field Research and Technology Transfer 2002, 178-205. Lewis Publ., New York. L.R. Ahuja (Ed.).
41. Syme G.J. Acceptable risk and social values: struggling with uncertainty in Australian water allocation. Stoch. Env. Res. Risk A 2013, 10.1007/s00477-013-0694-1.
42. Syme G.J., Nancarrow B.E. The determinants of perceptions of fairness in the allocation of water to multiple uses. Water Resour. Res. 1997, 33(9):2143-2152.
43. Syme G.J., Nancarrow B.E. Justice and the allocation of benefits from water. Soc. Altern. 2008, 27(3):21-25.
44. Tabari H., Kisi O., Ezani A. Hosseinzadeh Talaee P. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment. J. Hydrol. 2012, 444-5:78-89.
45. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst., Man, Cyb. 1985, 15:116-132.
46. Talei A., Chua L.H.C., Wong T.S.W. Evaluation of rainfall and discharge inputs used by adaptive network-based fuzzy inference systems (ANFIS) in rainfall-runoff modeling. J. Hydrol. 2010, 391(3-4):248-262.
47. Tilmant A., Goor Q., Pinte D. Agricultural-to-hydropower water transfers: sharing water and benefits in hydropower-irrigation systems. Hydrol. Earth Syst. Sci. 2009, 13:1091-1101.
48. UN-Water, 2007. Coping with water scarcity - challenge of the twenty-first century.
49. Valeriano S.O.C., Koike T., Yang K., Graf T., Li X., Wang L., Han X. Decision support for dam release during floods using a distributed biosphere hydrological model driven by quantitative precipitation forecasts. Water Resour. Res. 2010, 46:W10544.
50. Wang K.W., Chang L.C., Chang F.J. Multi-tier interactive genetic algorithms for the optimization of long-term reservoir operation. Adv. Water Resour. 2011, 34(10):1343-1351.
51. Wang, S.F., 2006. Spatial analysis for impact of fallow decision on regional irrigation demand. MS thesis, Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.
52. Wen T.H., Lin C.H., Chen C.T., Su M.D. Analysis of spatial scenarios aiding decision making for regional irrigation water-demand planning. J. Irrig. Drain. Eng. 2007, 133(5):455-467.
53. Westphal K.S., Vogel R.M., Kirshen P., Chapra S.C. Decision support system for adaptive water supply management. J. Water Resour. Plan. Manage. 2003, 129(3):165-177.
54. Wilhite D.A., Sivakumar M.V.K., Wood D.A. Early warning systems for drought preparedness and drought management. Proceedings of an Expert Group Meeting in Lisbon 2000, World Meteorological Organization, Geneva (Switzerland).
55. Yen J.H., Chen C.Y. Allocation strategy analysis of water resources in south Taiwan. Water. Resour. Manage. 2001, 15:283-297.
56. Zhang X., Liang F., Srinivasan R., Van Liew M. Estimating uncertainty of streamflow simulation using Bayesian neural networks. Water Resour. Res. 2009, 45:W02403.