Abstract
AbstractSeveral deficiencies exist in the present evaluation of land reclamation quality in mining areas. These include the absence of an established set of evaluation index systems and standard acceptance criteria, as well as the use of traditional sampling techniques, which are costly and in efficiency, and time-consuming. Compared with the traditional sampling survey methods, remote sensing has the advantages of a wide detection range, diverse information collection, multiple data-acquiring strategies, high speed, and short cycle. In this study, we used the Xinzhuang coal mining field in Yongcheng, Henan Province as an example to extract information and invert surface parameters using remote sensing techniques, based on national and local reclamation regulations and standards. Subsequently, using remote sensing, we constructed an index system for evaluating land reclamation quality in three aspects: reclaiming project quality, soil quality, and ecological benefits. Through the grading standards of evaluation indicators and quantitative remote sensing models, we determined the extracted information on the area of indicators, roads, ditches, soil moisture, organic matter, and ecological benefits after reclamation. Based on this, we established a quality evaluation model for mining land reclamation using an improved index and method. The evaluation units were divided, and the weight of the evaluation index was determined using the analytic hierarchy process and data envelopment analysis (AHP–DEA) method. The land reclamation quality in the study area was comprehensively evaluated, field accuracy was verified, and the results were analyzed. The results show that, except for the removal of roads, houses, and fishponds in the study area, all 13 evaluation units achieved a score of 60 points or higher. The quality of reclamation met the standards, and the evaluation results were consistent with the conclusions of the field investigation and project acceptance report, demonstrating the reliability and feasibility of the method developed in this study. The research results will provide technical support for the scientific evaluation of land reclamation quality.
Funder
national natural science foundation of china
Science and Technology Department of Henan Province
Key Scientific Research Project of Colleges and Universities in Henan Province
Publisher
Springer Science and Business Media LLC
Subject
Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology
Reference30 articles.
1. Abuzaid AS, Abdellatif AD, Fadl ME (2021) Modeling soil quality in Dakahlia Governorate, Egypt using GIS techniques. Egypt J Remote Sens Space Sci 24(2): 255–264.
2. Avtar R, Komolafe AA, Kouser A et al (2020) Assessing sustainable development prospects through remote sensing: A review. Remote sensing applications: society and environment. 20: 100402.
3. Bandyopadhyay S, Novo LAB, Pietrzykowski M, et al (2020) Assessment of forest ecosystem development in coal mine degraded land by using Integrated Mine Soil Quality Index (IMSQI): the evidence from India. Forests, 11(12): 1310.
4. Chen L, Ren CY, Wang ZM et al (2017) Prediction of spatial distribution of topsoil organic matter content in cultivated land using Kriging methods. Arid Zone Research, 34(04): 798–805.
5. Chen QH, Liu ZM, Liu XG et al (2010) Element-oriented land-use classification of mining area by high spatial resolution remote sensing image. Earth Science/Diqiu Kexue, 35(3): 453–458.