Optimizing conjunctive use of surface water and groundwater for irrigation to address human-nature water conflicts: A surrogate modeling approach

Agricultural Water Management

Volumn 163, Issue , 2015, Pages 380-392

  Wu, Xin ^a   Zheng, Yi ^a   Wu, Bin ^a   Tian, Yong ^a,b   Han, Feng ^a,b   Zheng, Chunmiao ^a,b,c  

^a PEKING UNIVERSITY   (China)

^b SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF ALABAMA   (United States)

Author keywords

Heihe River Basin; Integrated surface water groundwater modeling; Irrigation; Optimization; Surrogate modeling; Water diversion

Indexed keywords

AGRICULTURE; ARID REGIONS; ECOLOGY; ECOSYSTEMS; FLOOD CONTROL; FLOW OF WATER; GROUNDWATER; GROUNDWATER RESOURCES; IRRIGATION; OPTIMIZATION; RIVER DIVERSION; RIVERS; SURFACE PROPERTIES; SURFACE WATER RESOURCES; SURFACE WATERS; WATER CONSERVATION; WATER MANAGEMENT; WATER SUPPLY; WATERSHEDS;

ARID AND SEMI-ARID AREAS; GROUNDWATER MODELING; HEIHE RIVER BASIN; RESPONSE SURFACE MODELS; SURFACE WATER AND GROUNDWATERS; SURROGATE MODEL; SURROGATE-BASED OPTIMIZATION; WATER DIVERSIONS;

WATER RESOURCES;

CONFLICT MANAGEMENT; EFFICIENCY MEASUREMENT; EVAPOTRANSPIRATION; FEASIBILITY STUDY; GROUNDWATER; INTEGRATED APPROACH; IRRIGATION SYSTEM; OPTIMIZATION; RIVER BASIN; SURROGATE METHOD; SUSTAINABILITY; WATER MANAGEMENT;

CHINA; GANSU; HEIHE BASIN;

EID: 84947018368     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2015.08.022     Document Type: Article

References (69)

1. Arnold J.G., Kiniry J.R., Srinivasan R., Williams J.R., Haney E.B., Neitsch S.L. Soil and Water Assessment Tool Input/Output File Documentation Version 2009 2011, Texas Water Resources Institute Technical Report No. 365.
2. Baú D.A., Mayer A.S. Stochastic management of pump-and-treat strategies using surrogate functions. Adv. Water Resour. 2006, 29:1901-1917.
3. Bhattacharjya R.K., Datta B. Optimal management of coastal aquifers using linked simulation optimization approach. Water Resour. Manag. 2005, 19:295-320.
4. Bouwer H. Integrated water management for the 21st Century: problems and solutions. J. Irrig. Drain. Eng. 2002, 128:193-202.
5. Brunner P., Simmons C.T. HydroGeoSphere: a fully integrated, physically based hydrological model. Ground Water 2012, 50:170-176.
6. Cai X., Zeng R., Kang W.H., Song J., Valocchi A.J. Strategic Planning for Drought Mitigation under Climate Change. J. Water Resour. Plann. Manag. 2015, 04015004.
7. Castelletti A., Galelli S., Ratto M., Soncini-Sessa R., Young P.C. A general framework for Dynamic Emulation Modelling in environmental problems. Environ. Modell. Software 2012, 34:5-18.
8. Chang L.C., Ho C.C., Yeh M.S., Yang C.C. An Integrating approach for conjunctive-use planning of surface and subsurface water system. Water Resour. Manag. 2010, 25:59-78.
9. Chen Y., Zhang D., Sun Y., Liu X., Wang N., Savenije H.H.G. Water demand management: A case study of the Heihe River Basin in China. Phys. Chem Earth, Parts A/B/C 2005, 30:408-419.
10. Clerc M., Kennedy J. The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Trans, Evol. Comput. 2002, 6:58-73.
11. Cosgrove D.M., Johnson G.S. Aquifer management zones based on simulated surface-water response functions. J. Water Resour. Plann. Manag. 2005, 131:89-100.
12. Deb K. An efficient constraint handling method for genetic algorithms. Comput. Methods Appl. Mech. Eng. 2000, 186:311-338.
13. Duan Q.Y., Sorooshian S., Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 1992, 28:1015-1031.
14. Espinet A., Shoemaker C., Doughty C. Estimation of plume distribution for carbon sequestration using parameter estimation with limited monitoring data. Water Resour. Res. 2013, 49:4442-4464.
15. Forrester A.I.J., Keane A.J. Recent advances in surrogate-based optimization. Prog. Aerosp. Sci. 2009, 45:50-79.
16. Galelli S., Gandolfi C., Soncini-Sessa R., Agostani D. Building a metamodel of an irrigation district distributed-parameter model. Agric. Water Manage. 2010, 97:187-200.
17. Goldberg D. Genetic Algorithms in Search, Optimization and Machine Learning 1989, Addison-Wesley, Reading, Massachusetts, USA.
18. Graham N., Refsgaard A. MIKE SHE: A Distributed, Physically Based Modelling System for Surface Water/groundwater Interactions 2001, Golden, Colorado.
19. Harbaugh A.W. MODFLOW-2005 The U.S. Geological Survey modular ground-water model- the Ground-Water Flow Process 2005, 6-A16. U.S. Geological Survey Techniques and Methods.
20. Holland J. Adap Tation in Natural and Artificial Systems 1975, University of Michigan Press, Ann Arbor, Michigan, USA.
21. Ji X., Kang E., Chen R., Zhao W., Zhang Z., Jin B. The impact of the development of water resources on environment in arid inland river basins of Hexi region, Northwestern China. Environ. Geol. 2006, 50:793-801.
22. Ji X., Kang E., Zhao W., Chen R., Xiao S., Jin B. Analysis on supply and demand of water resources and evaluation of the security of water resources in irrigation region of the middle reaches of Heihe River, Northwest China (in Chinese). Sci. Agric. Sin. 2005, 38:9.
23. Johnson V.M., Rogers L.L. Accuracy of neural network approximators in simulation-optimization. J. Water Resour. Plann. Manag. 2000, 126:48-56.
24. Khare D., Jat M.K., Ediwahyunan Assessment of counjunctive use planning options: a case study of Sapon irrigation command area of Indonesia. J. Hydrol. 2006, 328:764-777.
25. Kollet S.J., Maxwell R.M. Integrated surface-groundwater flow modeling: a free-surface overland flow boundary condition in a parallel groundwater flow model. Adv. Water Resour. 2006, 29:945-958.
26. Krebs J.R., Wilson J.D., Bradbury R.B., Siriwardena G.M. The second silent spring?. Nature 1999, 400:611-612.
27. Kumar S., Pavelic P., George B., Venugopal K., Nawarathna B. Integrated modeling framework to evaluate conjunctive use options in a canal irrigated area. J. Irrig. Drain. Eng. 2013, 139:766-774.
28. Konikow L.F., Leake S.A. Depletion and capture: revisiting the source of water derived from wells. Ground Water 2014, 52:100-111.
29. Leavesley G.H., Lichty R.W., Troutman B.M., Saindon L.G. Precipita Tion-runoff Modeling System-user's Manual 1983, U.S. Geological Survey Water-Resources Investigations Report.
30. Li F.-F., Shoemaker C.A., Qiu J., Wei J.-H. Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system. Environ. Modell. Software 2015, 69:319-329.
31. Liong S., Khu S., Chan W. Derivation of pareto front with genetic algorithm and neural network. Derivation Pareto Front Genet. Algorithm Neural Network 2001, 6:10.
32. Liu L., Luo Y., He C., Lai J., Li X. Roles of the combined irrigation, drainage, and storage of the canal network in improving water reuse in the irrigation districts along the lower Yellow River, China. J. Hydrol. 2010, 391:157-174.
33. Liu X., Wang L. Discussion on the scheduling scheme and water allocation curve of Heihe River (In Chinese). Gansu Water Resour. Hydropower Technol. 2012, 48:3.
34. Mantoglou A., Papantoniou M. Optimal design of pumping networks in coastal aquifers using sharp interface models. J. Hydrol. 2008, 361:52-63.
35. Markstrom S.L., Niswonger R.S., Regan D.E., Prudic P.M.B. Gsflow-coupled Ground-water and Surface-water Flow Model Based on the Integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005) 2008, U.S. Geological Survey Techniques and Methods.
36. McPhee J., Yeh W.W.G. Groundwater management using model reduction via empirical orthogonal functions. J. Water Resour. Plann. Manag. 2008, 134:161-170.
37. Michael L.M., Leonard F.K. D Ocumentation of a Computer Program to Simulate Lake-aquifer Interaction Using the Modflow Ground-water Flow Model and the Moc3d Solute-transport Model 2000, U.S. Geological water-resources investigations report.
38. Mugunthan P., Shoemaker C.A. Assessing the impacts of parameter uncertainty for computationally expensive groundwater models. Water Resour. Res. 2006, 42. W10428.
39. Niu Z., Zhao W., Huang W., Chen X. Impact of ecological water diversion on temporal and spatial change of water resources in Heihe Downstream (in Chinese). Hydrology 2011, 31:5.
40. Ostfeld A., Salomons S. A hybrid genetic-instance based learning algorithm for CE-QUAL-W2 calibration. J. Hydrol. 2005, 310:122-142.
41. Pasetto D., Guadagnini A., Putti M. POD-based Monte Carlo approach for the solution of regional scale groundwater flow driven by randomly distributed recharge. Adv. Water Resour. 2011, 34:1450-1463.
42. Powell M.J.D. The theory of radial basis function approximation in 1990, Advances in Numecal Analysis II: Wavelets, Subdivision, and Radial Basis Functions 1992, 105-210. Oxford University Press, Oxford.
43. Prasad A.S., Umamahesh N.V., Viswanath G.K. Optimal irrigation planning under water scarcity. J. Irrig. Drain. Eng. 2006, 132:228-237.
44. Razavi S., Tolson B.A., Burn D.H. Review of surrogate modeling in water resources. Water Resour. Res. 2012, 48. W07401.
45. Regis R.G., Shoemaker C.A. A stochastic radial basis function method for the global optimization of expensive functions. INFORMS J. Comput. 2007, 19:497-509.
46. Regis R.G., Shoemaker C.A. Parallel stochastic global optimization using radial basis functions. INFORMS J. Compu. 2009, 21:411-426.
47. Regis R.G., Shoemaker C.A. Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization. Eng. Optim. 2013, 45:529-555.
48. Reichard E.G., Johnson T.A. Assessment of regional management strategies for controlling seawater intrusion. J. Water Resour. Plann. Manag. 2005, 131:280-291.
49. Richard G.N., David E., Prudic R.S.R. Documentation of the Unsaturated-Zone Flow (UZF1) Package for Modeling Unsaturated Flow Between the Land Surface and the Water Table with MODFLOW-2005 2006, 6-A19. U.S. Geological Survey Techniques and Methods.
50. Richard G.N., David E.P. Documentation of the Streamflow-Routing (SFR2) Package to Include Unsaturated Flow Beneath Streams-A Modification to SFR1 2010, 6-A13. U.S. Geological Survey Techniques and Methods.
51. Safavi H.R., Esmikhani M. Conjunctive use of surface water and groundwater: application of support vector machines (SVMs) and genetic algorithms. Water Resour. Manag. 2013, 27:2623-2644.
52. Simons G.W.H., Bastiaanssen W.G.M., Immerzeel W.W. Water reuse in river basins with multiple users: a literature review. J. Hydrol. 2015, 522:558-571.
53. Singh A. Conjunctive use of water resources for sustainable irrigated agriculture. J. Hydrol. 2014, 519:1688-1697.
54. Singh A. Simulation-optimization modeling for conjunctive water use management. Agric. Water Manag. 2014, 141:23-29.
55. Singh A., Panda S.N. Development and application of an optimization model for the maximization of net agricultural return. Agric. Water Manag. 2012, 115:267-275.
56. Singh A., Panda S.N. Optimization and simulation modelling for managing the problems of water resources. Water Resour. Manag. 2013, 27:3421-3431.
57. Smout I.K., Gorantiwar S.D. Multilevel approach for optimizing land and water resources and irrigation deliveries for tertiary units in large irrigation Schemes. I: method. J. Irrig. Drain. Engineering 2005, 131:254-263.
58. Tabari M.M.R., Soltani J. Multi-objective optimal model for conjunctive use management using SGAs and NSGA-II Models. Water Resour. Manag. 2012, 27:37-53.
59. Tan Q., Huang G.H., Cai Y.P. Radial interval chance-constrained programming for agricultural non-point source water pollution control under uncertainty. Agric. Water Manag. 2011, 98:1595-1606.
60. Theis The source of water derived from wells: essential factors controling the response of aquifers to development. Civil Eng. 1940, 10:8.
61. Tian Y., Zheng Y., Wu B., Wu X., Liu J., Zheng C. Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture. Environ. Modell. Software 2015, 63:170-184.
62. Tolson B.A., Shoemaker C.A. Dynamically dimensioned search algorithm for computationally efficient watershed model calibration. Water Resour. Res. 2007, 43. W01413.
63. Wang X., Yang H., Shi M., Zhou D., Zhang Z. Managing stakeholders' conflicts for water reallocation from agriculture to industry in the Heihe River Basin in Northwest China. Sci. Total Environ. 2015, 505:823-832.
64. Weill S., Mazzia A., Putti M., Paniconi C. Coupling water flow and solute transport into a physically-based surface-subsurface hydrological model. Adv. Water Resour. 2011, 34:128-136.
65. Wichelns D., Oster J.D. Sustainable irrigation is necessary and achievable, but direct costs and environmental impacts can be substantial. Agric. Water Manag. 2006, 86:114-127.
66. Wu B., Zheng Y., Tian Y., Wu X., Yao Y., Han F., Liu J., Zheng C. Systematic assessment of the uncertainty in integrated surface water-groundwater modeling based on the probabilistic collocation method. Water Resour. Res. 2014, 50:5848-5865.
67. Wu B., Zheng Y., Wu X., Tian Y., Han F., Liu J., Zheng C. Optimizing water resources management in large river basins with integrated surface water-groundwater modeling: a surrogate-based approach. Water Resour. Res. 2015, 51:2153-2173.
68. Zeng X., Kang S., Li F., Zhang L., Guo P. Fuzzy multi-objective linear programming applying to crop area planning. Agric. Water Manag. 2010, 98:134-142.
69. Zheng Y., Wang W., Han F., Ping J. Uncertainty assessment for watershed water quality modeling: a probabilistic collocation method based approach. Adv. Water Resour. 2011, 34:887-898.