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Strategic agricultural land-use planning in response to water-supplier variation in a China’s rural region

Listed author(s):
  • Lu, H.W.
  • Huang, G.H.
  • Zhang, Y.M.
  • He, L.
Registered author(s):

    A strategic agricultural land-use planning approach was proposed in response to water-supplier variation under parameter uncertainty. It was capable of examining the implication of various water-suppliers on agricultural land-use planning problems, interpreting the response of land-use schemes to water-supply patterns with respect to a variety of systematic features, and handling uncertain parameters widely existing in many real-world practices. A case study in central-south China demonstrated the applicability of the proposed approach. The modeling inputs of economic-related parameters were identified as intervals based on statistic data, while those related to water availability were predicted through a distributed hydrological model. Scenarios of (1) no groundwater supplementation, (2) 20% of groundwater supplementation, and (3) 40% of groundwater supplementation to total water demand were considered to generate optimal land-use plans. Reasonable results were obtained, which were then used to interpret the implication of water-supplier variation on planning sustainable development strategies. A special rate of groundwater supplementation (i.e. 20.1%) was also suggested to the manager to facilitate regulating long-term water-allocation schemes.

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    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 108 (2012)
    Issue (Month): C ()
    Pages: 19-28

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    Handle: RePEc:eee:agisys:v:108:y:2012:i:c:p:19-28
    DOI: 10.1016/j.agsy.2011.10.007
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    1. H. Lu & G. Huang & G. Zeng & I. Maqsood & L. He, 2008. "An Inexact Two-stage Fuzzy-stochastic Programming Model for Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(8), pages 991-1016, August.
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    6. He, Li & Huang, Guo H. & Lu, Hongwei, 2011. "Bivariate interval semi-infinite programming with an application to environmental decision-making analysis," European Journal of Operational Research, Elsevier, vol. 211(3), pages 452-465, June.
    7. Shakya, Keshab M. & Leuschner, William A., 1990. "A multiple objective land use planning model for Nepalese hills farms," Agricultural Systems, Elsevier, vol. 34(2), pages 133-149.
    8. Riquelme, Francisco J. Montero & Ramos, Antonio Brasa, 2005. "Land and water use management in vine growing by using geographic information systems in Castilla-La Mancha, Spain," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 82-95, August.
    9. Matthews, K.B. & Buchan, K. & Sibbald, A.R. & Craw, S., 2006. "Combining deliberative and computer-based methods for multi-objective land-use planning," Agricultural Systems, Elsevier, vol. 87(1), pages 18-37, January.
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