Integrated Watershed Management with Multiobjective Land-Use Optimizations under Uncertainty
Publication: Journal of Irrigation and Drainage Engineering
Volume 139, Issue 3
Abstract
Integrated watershed management plays an important role in the environment and ecosystem. This paper analyzes multiobjective optimizations of agricultural land-use management problems with uncertainty involved. For each trial land-use scenario, multiple objective functions are constructed based on coupled simulation of the AnnAGNPS watershed model and the CCHE1D channel network model. To account for parameter uncertainties and uncertainties in numerical model results, the combined objective function is calculated using a fuzzy logic system based on interval computations to obtain a membership function, which yields not only a crisp value but also a range of variations. The proposed approach is tested with a land-use management study for the Goodwin Creek Experimental Watershed in northern Mississippi. The results show that it is a convenient way to introduce uncertainty-related considerations into an optimization framework, and it can incorporate various model parameters that are difficult or impossible for other uncertainty analysis techniques to consider. More importantly, this approach allows for the development of a complex system of estimating the responses between management goals and miscellaneous environmental factors under uncertainty.
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Acknowledgments
This work is a result of research sponsored by the USDA Agricultural Research Service under Specific Research Agreement No. 58-6408-2-0062 (monitored by the USDA-ARS National Sedimentation Laboratory) and the University of Mississippi.
References
Altinakar, M., et al. (2010). “Integration of watershed model AnnAGNPS and stream network model CCHE1D for the development of a new GIS-based BMP planning tool.” Proc., World Environmental and Water Resources Congress 2010: Challenges of Change, ASCE, Reston, VA.
Alvarez Martínez, J.-M., Suárez-Seoane, S., and de Luis Calabuig, E. (2011). “Modelling the risk of land cover change from environmental and socio-economic drivers in heterogeneous and changing landscapes: The role of uncertainty.” Landscape Urban Plann., 101(2), 108–119.
Cronshey, R. G., and Theurer, F. G. (1998). “AnnAGNPS non-point pollutant loading model.” Proc., 1st Federal Interagency-Hydrologic Modeling Conf., Subcommittee on Hydrology of the Interagency Advisory Committee on Water Data, Reston, VA, 1-9-1-16.
Gaddis, E. J. B., and Voinov, A. (2010). “Spatially explicit modeling of land-use specific phosphorus transport pathways to improve TMDL load estimates and implementation planning.” Water Resour. Manage., 24(8), 1621–1644.
Guertin, D. P., Fiedler, R. H., Miller, S. N., and Goodrich, D. C. (2000). “Fuzzy logic for watershed assessment.” Proc., ASCE Conf. on Watershed Management and Operations Management, ASCE, Reston, VA.
Haughton, A. J., et al. (2009). “A novel, integrated approach to assessing social, economic and environmental implications of changing rural land-use: A case study of perennial biomass crops.” J. Appl. Ecol., 46(2), 315–322.
Heathcote, I. W. (2009). Integrated watershed management: Principles and practice, 2nd Ed., Wiley, Hoboken, NJ.
Maqsooda, I., Huang, G. H., and Yeomansd, J. S. (2005). “An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty.” Eur. J. Oper. Res., 167(1), 208–225.
Nandalal, K. D. W., and Simonovic, S. P. (2003). State-of-the-art report on systems analysis methods for resolution of conflicts in water resources management, Report prepared for Division of Water Sciences UNESCO, Technical Document in Hydrology, UNESCO, New York.
Ogle, S. M., Breidt, F. J., Eve, M. D., and Paustian, K. (2003). “Uncertainty in estimating land use and management impacts on soil organic carbon storage for US agricultural lands between 1982 and 1997.” Global Change Biol., 9(11), 1521–1542.
Qi, H. (2007). “Integrated watershed management and agricultural land-use optimization under uncertainty.” Ph.D. dissertation, Univ. of Mississippi, University, MS.
Qi, H., and Altinakar, M. S. (2011a). “A conceptual framework of agricultural land-use planning with BMP for integrated watershed management.” J. Environ. Manage., 92(1), 149–155.
Qi, H., and Altinakar, M. S. (2011b). “Vegetation buffer strips design using an optimization approach for non-point source pollutant control of an agricultural watershed.” Water Resour. Manage., 25(2), 565–578.
Qi, H., Altinakar, M. S., Vieira, D. A. N., and Alidaee, B. (2008). “Application of tabu search algorithm with a coupled AnnAGNPS-CCHE1D model to optimize agricultural land-use.” J. Am. Water Resour. Assoc., 44(4), 866–878.
Reiher, W., et al. (2010). “Integrated modelling of European agricultural land use scenarios.” Chapter 10, Integrated mission-directed research: Experiences from environmental and natural resource management, W. Proctor, L. van Kerkhoff, and S. H. Dodds, eds., CSIRO, Collingwood, Australia, 165–187.
Shen, Z.-y., Hong, Q., Yu, H., and Niu, J.-f. (2010). “Parameter uncertainty analysis of non-point source pollution from different land-use types.” Sci. Total Environ., 408(8), 1971–1978.
Singh, A. P., Ghosh, S. K., and Sharma, P. J. (2007). “Water quality management of a stretch of River Yamuna: An interactive fuzzy multiobjective approach.” Water Resour. Manage., 21(2), 515–532.
Vieira, D. A., and Wu, W. (2002). One-dimensional channel network model CCHE1D Version 3.0—Model capabilities and applications, National Center for Computational Hydroscience and Engineering, Univ. of Mississippi, University, MS.
Wang, X. (2001). “Integrating water-quality management and land-use planning in a watershed context.” J. Environ. Manage., 61(1), 25–36.
Wu, J. (2004). “Water-quality-based BMP design approach and uncertainty analysis for integrated watershed management.” Ph.D. dissertation, Univ. of Virginia, Charlottesville, VA.
Yuan, Y., Locke, M. A., and Bingner, R. L. (2008). “AnnAGNPS model application for Mississippi Delta Beasley Lake watershed conservation practices assessment.” J. Soil Water Conserv., 63(6), 542–551.
Zadeh, L. A. (2008). “Is there a need for fuzzy logic?” Inf. Sci. (N. Y.), 178(13), 2751–2779.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 139 • Issue 3 • March 2013
Pages: 239 - 245
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jul 11, 2011
Accepted: Aug 28, 2012
Published online: Aug 31, 2012
Published in print: Mar 1, 2013
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