Journal
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume 36, Issue 9, Pages 2883-2906Publisher
SPRINGER
DOI: 10.1007/s00477-022-02176-4
Keywords
Uncertainty; Quantitative structural optimization; Spatial layout optimization; Multi-objective interval probabilistic fuzzy programming; GeoSOS-FLUS; Multiple scenario analysis
Categories
Funding
- National Natural Science Foundation of China [41401631]
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This study couples uncertain factors in the land use system with a spatial layout model, predicting optimal land use allocation under different priorities and achieving sustainable development of future land use patterns.
The comprehensive optimization analysis of the quantitative structure and spatial allocation of land use is the key research direction of current and future land use planning. There are a lot of uncertain factors in the land use system. However, few studies couple the uncertain factors in the land use system with the spatial layout model. Based on this, the uncertain mathematical model and the spatial allocation model (GeoSOS-FLUS) are coupled to simulate the land use optimal allocation in Wuhan in 2030. The quantitative structure and spatial allocation optimization model of land use under three scenarios of economic development priority, ecological protection priority and low carbon emission priority were predicted. The coupling model solves the quantitative problem of land system uncertainty and applies it to spatial layout. The results show that the coupling model can help decision-makers to make future land use planning from the perspective of economy, ecology and low carbon emissions, and realize the sustainable development of future land use patterns.
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