An Innovative Evaluation System for Ecological Restoration Effects in Mining Areas Based on Multi-source Data --- A Case Study of the North Waste Rock Dump at Shengli Mine, China

An Innovative Evaluation System for Ecological Restoration Effects in Mining Areas Based on Multi-source Data --- A Case Study of the North Waste Rock Dump at Shengli Mine, China | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 10 July 2025 V1 Latest version Share on An Innovative Evaluation System for Ecological Restoration Effects in Mining Areas Based on Multi-source Data --- A Case Study of the North Waste Rock Dump at Shengli Mine, China Authors : Zhiwei Qiu , Wandi Zhou , Tong Wu , Yingjia Fei , Huan Xi , and Chenxi Wang [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175214536.67033745/v1 151 views 88 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Taking the North Dumping Ground of Shengli Mine as the research subject, this study innovatively combines multi-source remote sensing data with soil physical and chemical properties to construct a more comprehensive and objective ecological restoration effectiveness evaluation system. This integration has enriched the evaluation indicators, providing multidimensional information support for the quantitative assessment of ecological restoration effectiveness. The soil physical and chemical properties, as fundamental indicators of ecological restoration, reflect the fertility and health status of the soil, while remote sensing data provides information on various aspects such as land cover, vegetation index, and terrain changes from a macro perspective. The combination of these two sources of data compensates for the limitations of a single data source.In terms of evaluation methods, AHP was adopted to construct a comprehensive evaluation system based on stability and adaptability. SBAS-InSAR method is a significant highlight of this study. By processing Sentinel-1A data, the key indicator of cumulative surface deformation was obtained and included in the evaluation system, further improving the evaluation indicators. This has made the evaluation results more comprehensive and objective, and able to more accurately reflect the actual effects of ecological restoration in the dumping ground.The year 2017 was a drought year with less precipitation than usual, and this special climatic condition provided an opportunity to assess the ecological restoration effectiveness under extreme conditions. Under such conditions, the growth of vegetation and the stability of soil face greater challenges. Therefore, the data from 2017 can more truly reflect the effectiveness of ecological restoration measures and the adaptability of the dumping ground under adverse climatic conditions. In addition, the data from 2017 were collected several years after the cessation of land reclamation management, providing an important time node to observe the long-term stability of reclamation effects and the self-restoration ability of the ecosystem. Through field data collection, remote sensing image analysis, and laboratory testing in 2017, the stability score of the North Dumping Ground of Shengli Mine was found to be 3.33, the adaptability score was 1.34, and the total score was 4.24. The research results indicate that the combination of multi-source remote sensing data and soil physical and chemical properties significantly enhances the objectivity and accuracy of the evaluation. Although the dumping ground has achieved certain effects in ecological restoration, there is still a need to strengthen the stability of the ecosystem and improve vegetation coverage and diversity. Supplementary Material File (manuscript file.docx) Download 1.56 MB Information & Authors Information Version history V1 Version 1 10 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords analytic hierarchy process evaluation of ecological restoration effect remote sensing imagery sbas-insar technology shengli mine north dump Authors Affiliations Zhiwei Qiu Jiangsu Ocean University View all articles by this author Wandi Zhou Jiangsu Ocean University View all articles by this author Tong Wu Jiangsu Ocean University View all articles by this author Yingjia Fei Jiangsu Ocean University View all articles by this author Huan Xi Jiangsu Ocean University View all articles by this author Chenxi Wang [email protected] Jiangsu Ocean University View all articles by this author Metrics & Citations Metrics Article Usage 151 views 88 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Zhiwei Qiu, Wandi Zhou, Tong Wu, et al. An Innovative Evaluation System for Ecological Restoration Effects in Mining Areas Based on Multi-source Data --- A Case Study of the North Waste Rock Dump at Shengli Mine, China. Authorea . 10 July 2025. DOI: https://doi.org/10.22541/au.175214536.67033745/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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