Conditional Land Reuse Planning for Coal Mine Restoration in China: Evidence of Robustness and Restoration-Funding Scenarios
Land-reuse planning after coal mining must distinguish restoration needs, evidential readiness and the ability to fund continuing obligations. This study examines that distinction through 69 Chinese mine-area units, six purposively selected coal-related electricity statements and one monthly monitoring report for 13 plants within a single base. Recalculation of the inventory reveals 22 distinct substantive score profiles. Separating data completeness from physical restoration difficulty changes the screening category of 7 units; a 20% perturbation of one indicator weight changes up to 10 categories. Thus, complete scoring does not imply stable prioritization. We connect this screening diagnosis to non-compensatory land-use prerequisites and a task-based restoration-funding condition. Capacity-denominator reconciliation changes normalized electricity output by 0.06–15.01% in the monitored dataset. In the Huainan demonstration, floating photovoltaics and aquatic recovery remain unresolved but require different investigations. A discounted funding extension shows how degradation and additional dated obligations can remove an apparent maintenance surplus. The contribution is an auditable separation of investigation priority, alternative-specific eligibility and financial coverage under incomplete evidence. The findings support conditional documentary planning rather than national rankings, validated project profitability or observed ecological recovery.
Authors
- Gui Lu (ORCID: https://orcid.org/0000-0002-4018-6108)
- Dongyue Zhang
Institutions
- Minzu University of China (CN)
- North China Electric Power University (CN)
Publication Details
- Journal
- Land
- Published
- 2026-10-16
- DOI
- https://doi.org/10.3390/land15101985
- Primary Topic
- Geology and Environmental Impact Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundamental Research Funds for the Central Universities