GIS-based Program Decision-making in Reclamation and Utilization of Industrial and Mining Wasteland-A Case Study at Qiyueshan Mining Area of Yangxin County, Huangshi City, Hubei Province
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GIS-based Program Decision-making in Reclamation and Utilization of Industrial and Mining Wasteland-A Case Study at Qiyueshan Mining Area of Yangxin County, Huangshi City, Hubei Province
Bulletin of Soiland Water ConservationVol. 35, Issue 2, Pages: 297-301(2015)
PENG Yuling, LIN Aiwen, WANG Ke, et al. GIS-based Program Decision-making in Reclamation and Utilization of Industrial and Mining Wasteland-A Case Study at Qiyueshan Mining Area of Yangxin County, Huangshi City, Hubei Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(2): 297-301.
DOI:
PENG Yuling, LIN Aiwen, WANG Ke, et al. GIS-based Program Decision-making in Reclamation and Utilization of Industrial and Mining Wasteland-A Case Study at Qiyueshan Mining Area of Yangxin County, Huangshi City, Hubei Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(2): 297-301. DOI: 10.13961/j.cnki.stbctb.2015.02.056.
GIS-based Program Decision-making in Reclamation and Utilization of Industrial and Mining Wasteland-A Case Study at Qiyueshan Mining Area of Yangxin County, Huangshi City, Hubei Province
[Objective] This article aim to find a suitable method for the evaluation and decision-making of land reclamation.[Methods] Based on existing evaluation methods and experiences in the domestic and abroad
we used Delphi
AHP(analytic hierarchy process) and GIS tools to conduct the empirical research in the Qiyueshan mining area
Yangxin County
Huangshi City
Hubei Province.[Results] We defined the connotation of industrial and mining wasteland
established the digital elevation model for the experimental area
presented the evaluation index system
determined the direction for different land-use types(arable land
garden
woodland
and grassland) of reclaimed industrial and mining wasteland
and addressed the decision bias problem caused by data accuracy.[Conclusion] The study provided high accuracy and timeliness data
and simple and practical model. The results are proved as accurate enough
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