Abstract
The mountainous abandoned mine land is often distributed in the form of fragmented patches. Therefore, it can greatly promote the reuse value of abandoned mine land and relieve the pressure of land demand to realize the rational reuse of abandoned mine land based on the future land use structure and spatial layout of mountainous area. In this paper, optimization of the spatial structure of mountainous abandoned mine land reuse is realized through the system dynamics model and CLUE-S model. Mentougou district, Beijing, China is selected as the research area. System dynamics model with feedback functions is constructed to simulate land use structure from 2011 to 2025, which is taken as the quantitative constraint on spatial structure optimization. CLUE-S model with neighborhood analysis function is applied to simulate future land use spatial structure. The simulation result layer is superimposed with the abandoned mine land distribution layer and the optimized spatial structure of abandoned mine land reuse then is determined, checked by reuse suitability evaluation. The result shows that abandoned mine land can be fully optimized as other land use types according to demand, and the reuse directions are water conservancy facilities land, urban land, rural residential land, tourism land, garden land, woodland and grassland. The trend of abandoned mine land reuse tend to be consistent with land use types of neighboring patches. This study can provide theoretical reference for the practices of mountainous abandoned mine land reuse.
Highlights
Mineral exploitation has brought tremendous momentum for economic and social development, various forms of abandoned mine land are generated in the meantime (Cheng and Skousen 2017; Li 2006)
Optimization of the spatial structure of mountainous abandoned mine land reuse is realized through the system dynamics model and CLUE-S model
The quantitative land use structure is predicted by system dynamics model according to regional land policy, land dynamic change characteristics and socio-economic factors, and the prediction results are taken as the constraints of spatial structure optimization
Summary
Mineral exploitation has brought tremendous momentum for economic and social development, various forms of abandoned mine land are generated in the meantime (Cheng and Skousen 2017; Li 2006). CA model has characteristics of strong self-organizing, and it simulates complex spatial structure by simple local raster transformation according to model rules. It has natural advantages in human social system modeling (Al-sharif and Pradhan 2014; Gharbia et al 2016; Mao et al 2013). CLUE-S model dynamically simulates the spatial distribution of land use types in the future according to the competition relationship which results from quantifying the driving factors and the land use type of each pixel and its neighborhood (Liu et al 2014; Mehdi et al 2018; Waiyasusri et al 2016). It can effectively predict the spatial and temporal dynamic changes of land use by integrating the advantages of land use structure prediction model and spatial layout optimization model, and giving full play to the characteristics of various models
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