RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (10): 1528-1536.doi: 10.11870/cjlyzyyhj201610007

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STUDY ON SIMULATION AND STRUCTURE OPTIMIZATION OF LAND USE CARBON REDUCTION AND EFFICIENCY IMPROVEMENT SYSTEM OF HUBEI PROVINCE

XU Lei, DONG Jie, ZHAGN An-lu   

  1. College of Public Management, Huazhong Agricultural University, Wuhan 430070, China
  • Received:2016-01-04 Revised:2016-06-22 Online:2016-10-20
  • Supported by:
    Key Projects of Philosophy and Social Sciences Research, the Ministry of Education (14JZD009)

Abstract: Land use changes are among the main factors that induce carbon emissions. One of the goals of land use is to pursue the benefits. It's important to optimize land use structure for achieving both carbon reduction and increasing efficiency. Based on the perspective of the interaction between system structure and function, in this paper we explored the feedbacks among the variables in the subsystems of carbon reduction, efficiency increasing of land use. Using the system dynamic to build a simulation model for the system, we put the constraint condition into the multi-objective programming model (MOP), combined the model of MOP and SD into one model, and acquired optimized land-use structure of Hubei Province in 2020 through system simulation. The result showed that the SD-MOP model can be used to optimize the land use structure under the conditions of carbon emission reduction and efficiency increase. Compared with the data of 2008, cultivated land, woodland, grassland and construction land increase by 3.3 thousand ha, 301.7 thousand ha, 0.8 thousand ha and 163.7 thousand ha, respectively. On the other hand, other agricultural lands and unutilized lands decreased by 72.3 thousands ha and 331.5 thousands ha, respectively. In contrast to SD model without constraints, land use carbon emission reduced by 580 thousand tons, the annual growth rate of economic efficiency was maintained at 3.58%, showing that the scheme is feasible. Optimization of land use structure based on the SD-MOP model can meet the requirements of regional sustainable development and take into account the dual goals of land use carbon emission reduction and economic benefit growth, which can provide reference for the optimal allocation of regional land resources.

Key words: low-carbon, land use, system dynamic-multi-objective programming model, simulation, optimization

CLC Number: 

  • F301.2
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