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Library hybrid inexact optimization model for land-use allocation of China

hybrid inexact optimization model for land-use allocation of China

hybrid inexact optimization model for land-use allocation of China

Resource information

Date of publication
December 2015
Resource Language
ISBN / Resource ID
AGRIS:US201500196026
Pages
62-73

Land scarcity has become the prominent obstacle on the way to sustainable development for China. Under the constraints of land shortage, how to allocate the finite land resources to the multiple land users in China considering various political, environmental, ecological and economic conditions have become research topics with great significance. In this study, an interval fuzzy national-scale land-use model (IFNLM) was developed for optimizing land systems of China. IFNLM is based on an integration of existing interval linear programming (ILP), and fuzzy flexible programming (FFP) techniques. IFNLM allows uncertainties expressed as discrete interval values and fuzzy sets to be incorporated within a general optimization framework. It can also facilitate national-scale land-use planning under various environmental, ecological, social conditions within a multi-period and multi-option context. Then, IFNLM was applied to a real case study of land-use planning in China. The satisfaction degree of environmental constraints is between 0.69 and 0.97, the system benefit will between 198.25 × 10¹²USD and 229.67 × 10¹²USD. The results indicated that the hybrid model can help generate desired policies for land-use allocation with a maximized economic benefit and minimized environmental violation risk. Optimized land-use allocation patterns can be generated from the proposed IFNLM.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Zhou, Min
Cai, Yunlong
Guan, Xingliang
Tan, Shukui
Lu, Shasha

Publisher(s)
Data Provider
Geographical focus