Development and Application of Ecological Restoration Framework in Jiangcang Mining Area, Qinghai Province, Northwestern China: A Case Study

To address the challenges of immature theories and technologies for ecological restoration in high-altitude mining areas, this study focuses on the Jiangcang mining area at an altitude of 3850 m, aiming to develop an effective and comprehensive ecological restoration model. Through on-site investigation and diagnosis, a site-specific approach was adopted, incorporating topography restoration following natural terrain, on-site screening of mine waste for cover soil materials, soil improvement with bulk blending fertilizer, mixed sowing of native grass species, slope stability analysis using Bishop’s method, and environmental monitoring. The results showed that the restored area reached 9303 mu. The soil structure and holding capacity of coal gangue and waste soil were effectively improved, and the artificial soil exhibited good fertility. Vegetation coverage exceeded 90%, outperforming that of the surrounding natural grassland. Surface water quality met the Grade II standard, and all slope safety factors exceeded 1.20, indicating that potential geological hazards were significantly eliminated. These findings suggest that this integrated ecological restoration model successfully restored ecosystem functions in the mining area, providing a replicable and scalable “Jiangcang model” for addressing ecological restoration challenges in high-altitude mining regions, with substantial ecological, social, and economic benefits.

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Processes
Published
2026-11-02
DOI
https://doi.org/10.3390/pr14213523
Primary Topic
Geology and Environmental Impact Studies
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article
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article

Development and Application of Ecological Restoration Framework in Jiangcang Mining Area, Qinghai Province, Northwestern China: A Case Study

Siyu Jiang, Rucai Ma, Tingmei Huang, Ming Ma et al.
Processes
Geology and Environmental Impact Studies
article

Development and Application of Ecological Restoration Framework in Jiangcang Mining Area, Qinghai Province, Northwestern China: A Case Study

Siyu Jiang, Rucai Ma, Tingmei Huang, Ming Ma, Junli Ma, Shilong Zhang, Xiaojuan Ma, Wen Zhang, Chengying Li, Wanping Wang, Guocai Ma
article en

Abstract

To address the challenges of immature theories and technologies for ecological restoration in high-altitude mining areas, this study focuses on the Jiangcang mining area at an altitude of 3850 m, aiming to develop an effective and comprehensive ecological restoration model. Through on-site investigation and diagnosis, a site-specific approach was adopted, incorporating topography restoration following natural terrain, on-site screening of mine waste for cover soil materials, soil improvement with bulk blending fertilizer, mixed sowing of native grass species, slope stability analysis using Bishop’s method, and environmental monitoring. The results showed that the restored area reached 9303 mu. The soil structure and holding capacity of coal gangue and waste soil were effectively improved, and the artificial soil exhibited good fertility. Vegetation coverage exceeded 90%, outperforming that of the surrounding natural grassland. Surface water quality met the Grade II standard, and all slope safety factors exceeded 1.20, indicating that potential geological hazards were significantly eliminated. These findings suggest that this integrated ecological restoration model successfully restored ecosystem functions in the mining area, providing a replicable and scalable “Jiangcang model” for addressing ecological restoration challenges in high-altitude mining regions, with substantial ecological, social, and economic benefits.

ProcessesVol. 14(21)
Qinghai University (CN), Qinghai Meteorological Bureau (CN), Institute of Hydroecology (CN)
Openalex Percentile: Top 5%
Geology and Environmental Impact Studies
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Development and Application of Ecological Restoration Framework in Jiangcang Mining Area, Qinghai Province, Northwestern China: A Case Study — Siyu Jiang, Rucai Ma, et al. · Processes (2026) | TGRS Research Map | TGRS