采矿坑湖的水文分类使用建模实验
Benedictor Kemanga1, Neil McIntyre2, Nevenka Bulovic1
1Centre for Water in the Minerals Industry, Sustainable Minerals Institute, The University of Queensland, Brisbane, Australia.
Journal of environmental management
|October 24, 2024
概括
可持续的矿山关闭需要了解坑湖水文. 这项研究根据气候和导电性对坑湖进行了分类,简化了对矿井空洞的风险评估.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 地质技术工程 地质技术工程
背景情况:
- 全球露天采矿需要可持续的矿山关闭和坑洞湖管理.
- 坑湖与地下水和地表水的相互作用对于风险评估至关重要.
- 现有的研究缺乏基于地理背景的坑洞湖的一般水文分类.
研究的目的:
- 发展对坑洞湖的一般理解和水文分类.
- 为了检查地理因素对坑湖封闭后行为的影响.
- 评估坑湖,地下水和地表水之间的长期相互作用.
主要方法:
- 利用一个集成的通用坑湖水平衡模型.
- 模拟了243个场景,考虑了气候,液压导电性,地下水位,流域和坑坡度.
- 评估坑湖属性 (水位,平衡时间,充电/溢出分数) 在封闭后的6000年内.
主要成果:
- 开发了坑洞湖的五类水文分类.
- 在许多情况下,气候和液压导电性可靠地预测长期的坑湖水文.
- 分类的准确性需要在高降雨变化率的非干旱气候中进行细化.
结论:
- 使用广泛的地理数据,可以进行通用的坑湖分类.
- 这种分类有助于初步风险评估,指导需要特定地点的建模.
- 这些发现支持更可持续的矿山生命周期规划和关闭战略.
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