矿山生态修复及其固碳潜力研究进展
Advances in Mines Ecological Restoration and Carbon Sequestration Potential
陈珲 1崔一涵 2汪海明 1林建秋 1吴红雷 1彭景林 1张军军 3翟远征2
作者信息
- 1. 广东省地质局第三地质大队,广东韶关 512028
- 2. 北京师范大学水科学研究院,北京 100875
- 3. 广东省地质局,广东广州 510080
- 折叠
摘要
作为全球最大的碳"储库"之一,矿山在全球碳循环中的作用备受关注.研究旨在通过系统梳理和深入分析矿山生态修复在固碳增汇和"碳中和"中的作用和机制,以及固碳潜力评估方法,为制订以生态恢复和固碳为目的矿山生态修复措施提供科学依据,从而为加快实现"双碳"目标助力.研究建立了矿山生态系统碳循环的概念模型;以矿山生态修复原理为基础,梳理并讨论了包括地形地貌重塑、土壤重构和植被重建的3大修复措施及其固碳机制,以及实施的注意事项;总结了固碳潜力评估模型和方法.下一步研究应在可持续发展的基础上不断优化修复措施并提高固碳评估的准确性,延长矿山生态修复效益维持时间,促成矿山生态系统固碳能力的可持续发展.
Abstract
As one of the largest carbon"reservoirs"in the world,the role of mines in the global carbon cycle has attracted much attention.In this study it aims to systematically sort out and deeply analyze the roles and mechanisms of mine ecological restoration in carbon sequestration and carbon neutrality.At the same time,it concludes the methods for assessing carbon sequestration potentials,to provide a scientific basis for formulating mine ecological restoration measures aimed at ecological restoration and carbon sequestration,and help to accelerate the achievement of the"dual-carbon"goal.In this study establishes a conceptual model of the carbon cycle in the mining ecosystem.Based on the principles of mine ecological restoration,it discusses three major restoration measures,including topographic and geomorphic remodeling,soil reconstruction and revegetation,and their carbon sequestration mechanisms,as well as the keys in their implementation.Besides,this study summarizes the carbon sequestration potential assessment model and method.The next step of the study should be to optimize the restoration measures and improve the accuracy of carbon sequestration assessment based on sustainable development,to prolong the maintenance time of the ecological benefits of mine restoration and contribute to the sustainable development of carbon sequestration capacity of mine ecosystems.
关键词
矿山/生态修复/碳中和/土壤重构/植被重建/水文地质Key words
mine/ecological restoration/carbon neutrality/soil reconstruction/revegetation/hydrogeology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据