CHI G M，CHEN S S，WANG W, et al. Research on ecological restoration area delineation in mining area based on Entropy-weighted Extension Matter-element Model[J]. Journal of Henan Polytechnic University (Natural Science), doi: 10.16186/j.cnki.1673-9787.2024030082.

Received：2024-03-29

Revised：2024-06-26

Online：2024-08-15

Research on ecological restoration area delineation in mining area based on Entropy-weighted Extension Matter-element Model: A case study in Huojitu Mine (Online)

CHI Guoming¹，CHEN Sushe²，WANG Wei²，WANG Shidong³，ZHU Zhiyong³，JIAO Yiheng³，CHEN Zhichao³

(1.Daliuta Coal Mine, China Energy Shengdong Coal Group Co. Ltd., Shenmu 719315, Shaanxi, China;2. CHN Energy Shendong Coal Technology Research Institute, Shenmu 719315, Shaanxi, China; 3.School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China)

Abstract： Objectives The improving concept of green mining makes the ecological restoration work in mining areas pay much attention. The assessment and delineation of ecological restoration area is an important premise and basis for ecosystem restoration and reconstruction, which is of great significance to improve the quality of the ecological environment. Few existing studies focus on the zoning of ecological restoration in mining areas. Methods In this context, this paper takes the Huojitu mine of Daliuta coal mine as the study area, selects soil nutrients, vegetation coverage, land damage degree, and topographic location index to construct the evaluation index system, and utilizes the Entropy-weighted Extension Matter-element Model for the division of ecological restoration area. Results The results show: (1) The selected model avoids the influence of subjective factors on the weights, and can integrate multiple indicators for unified quantitative grading, which can provide methodological support for the ecological restoration of the mining area to delineate the area. (2) There are three types of disturbance in the study area: open pit mine disturbance area, well mine disturbance area, and town disturbance area, with an area of 9.85 km⟡, 33.04 km⟡, and 6.87 km⟡, respectively, accounting for 44.41% of the study area. From the internal structure of the disturbed area, the division of the disturbed area includes artificial heavy intervention restoration area, artificial auxiliary intervention restoration area, and natural restoration area, of which, the area of artificial heavy intervention restoration area is 25.9 km⟡, accounting for 52.07% of the total disturbed area, the area of artificial auxiliary intervention restoration area is 17 km⟡, accounting for 34.16% of the total disturbed area, and the area of natural restoration area is 6.85km⟡, accounting for 13.77% of the total disturbed area. (3) Based on different ecological restoration area types, different restoration ideas are presented for different disturbed areas in the study area. Methods of natural re-greening are proposed for natural restoration areas. Methods of introducing advantageous species and precise soil fertilization are proposed for the artificial-assisted intervention restoration areas. Methods such as adjusting the mining layout, cutting slopes and filling them in, and soil improvement are proposed for the artificial heavy intervention restoration areas. Conclusions The results of the study can provide some reference for ecological restoration projects in mining areas.

Key words：mining; ecological restoration zoning; entropy weighted topologizable object metamodeling; Huojitu Coal Mine

CLC:TD167