2010•2010 Sixth International Conference on Natural ComputationRequires access

Fuzzy comprehensive evaluation of land reclamation suitability in mining subsidence based on GIS

Linxia Guo, Liping Zhou, Chunhua Yang, Peter Fečko

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Abstract

In order to make full use of mining subsidence areas, a fuzzy comprehensive evaluation method on the land reclamation suitability is used. According to the three directions of land reclamation of agriculture, forestry and pond, we choose proper evaluation elements and weights, and then obtain the structure of land reclamation suitability of this coal mining subsidence as a result which provides a basis for reclaiming the subsidence area appropriately. Combined with GIS, a land suitability evaluation result map of this coal mining subsidence is drawn.

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What this paper is about

In order to make full use of mining subsidence areas, a fuzzy comprehensive evaluation method on the land reclamation suitability is used. According to the three directions of land reclamation of agriculture, forestry and pond, we choose proper evaluation elements and weights, and then obtain the structure of land reclamation suitability of this coal mining subsidence as a result which provides a basis for reclaiming the subsidence area appropriately. Combined with GIS, a land suitability evaluation result map of this coal mining subsidence is drawn.

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Available abstract

In order to make full use of mining subsidence areas, a fuzzy comprehensive evaluation method on the land reclamation suitability is used. According to the three directions of land reclamation of agriculture, forestry and pond, we choose proper evaluation elements and weights, and then obtain the structure of land reclamation suitability of this coal mining subsidence as a result which provides a basis for reclaiming the subsidence area appropriately. Combined with GIS, a land suitability evaluation result map of this coal mining subsidence is drawn.

Key concepts: Land reclamation, Subsidence, Coal mining, Fuzzy logic, Geographic information system, Mining engineering, Agriculture, Environmental science

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