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

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  • Lu, H.W.
  • Huang, G.H.
  • Zhang, Y.M.
  • He, L.

Abstract

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.

Suggested Citation

  • Lu, H.W. & Huang, G.H. & Zhang, Y.M. & He, L., 2012. "Strategic agricultural land-use planning in response to water-supplier variation in a China’s rural region," Agricultural Systems, Elsevier, vol. 108(C), pages 19-28.
    • 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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    Cited by:

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    2. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Tianxiao & Zhou, Yan, 2020. "Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty," Agricultural Systems, Elsevier, vol. 178(C).
    3. Vasu, Duraisamy & Srivastava, Rajeev & Patil, Nitin G. & Tiwary, Pramod & Chandran, Padikkal & Kumar Singh, Surendra, 2018. "A comparative assessment of land suitability evaluation methods for agricultural land use planning at village level," Land Use Policy, Elsevier, vol. 79(C), pages 146-163.
    4. H. Lu & G. Huang & L. He, 2012. "Simulation-Based Inexact Rough-Interval Programming for Agricultural Irrigation Management: A Case Study in the Yongxin County, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4163-4182, November.
    5. Yang, Gaiqiang & Liu, Lei & Guo, Ping & Li, Mo, 2017. "A flexible decision support system for irrigation scheduling in an irrigation district in China," Agricultural Water Management, Elsevier, vol. 179(C), pages 378-389.
    6. Ali Azarnivand & Mohammad Ebrahim Banihabib, 2017. "A Multi-level Strategic Group Decision Making for Understanding and Analysis of Sustainable Watershed Planning in Response to Environmental Perplexities," Group Decision and Negotiation, Springer, vol. 26(3), pages 629-648, May.

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