Regeneration of mining wasteland in view of optimization of urban green infrastructure system: A case study of Daye

The perfect green infrastructure system plays a key role in the reconstruction of the mining city ecosystem and the improvement of the quality of the mining city's living environment.On the one hand, the abandoned mining land after ecological restoration is an important increment of the green i...

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Bibliographic Details
Main Authors: Qipeng Liao, Hongmei Xu, Xinran Liu
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2021-07-01
Series:地质科技通报
Subjects:
Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0415
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Summary:The perfect green infrastructure system plays a key role in the reconstruction of the mining city ecosystem and the improvement of the quality of the mining city's living environment.On the one hand, the abandoned mining land after ecological restoration is an important increment of the green infrastructure of mining cities; on the other hand, the optimization of green infrastructure system oriented governance is an effective way to break the current inefficient governance of abandoned mining land.Daye City of Hubei Province is a typical resource-exhausted city.Based on the morphological spatial pattern analysis (MSPA) method to evaluate the green infrastructure in Daye City, combined with the spatial distribution of abandoned mining land, the ecological potential of abandoned mining land was evaluated, and then three reconstruction methods of abandoned mining land regeneration, including ecological type, life type and production type, were put forward.The main conclusions of this paper are as follows: ①The ecological base of Daye City is good, but the landscape fragmentation is serious and the connectivity is weak; ②Most of the abandoned mining areas have high ecological potential, 60% of the abandoned mining areas can be transformed into green infrastructure. ③30% of the abandoned mining lands are suitable for ecological reconstruction, 52% for life reconstruction, and 18% for production reconstruction.
ISSN:2096-8523