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在受酸性矿井排水影响的复杂盆地规划恢复策略的表征和建模方法
Jonatan Romero-Matos1, Laura Sánchez-López1, Rafael León1
1Department of Earth Sciences & Research Center on Natural Resources, Health and the Environment. University of Huelva, Campus "El Carmen", 21071, Huelva, Spain.
Journal of environmental management
|December 20, 2025
概括
在Odiel河流域的酸性矿井排水 (AMD) 管理需要确定主要污染源. 完整的回收对于改善水质至关重要,因为部分减少不足以达到安全水标准.
科学领域:
- 环境科学 环境科学
- 地质化学 地质化学
- 水资源管理 水资源管理
背景情况:
- 酸性矿井排水 (AMD) 对水资源产生重大影响,需要有效的管理策略.
- 西班牙的Odiel河流域面临着AMD的挑战,需要对水组成进行评估,以确定主要贡献者.
- 恢复工作对于满足AMD影响的水域的水资源需求至关重要.
研究的目的:
- 开发和应用一个基于平衡的混合模型来模拟AMD污染物负载的减少.
- 估计选择性修复对Odiel河水质的影响,重点关注Alcolea水库.
- 确定AMD的主要来源并评估不同修复场景的有效性.
主要方法:
- 在不同的流量条件下 (平均和高流量) 进行现场采样,以分析水的组成.
- 基于平衡的混合模型的开发,以模拟污染物负载和水质变化.
- 将50%和100%的污染减少场景应用于主要的AMD源.
主要成果:
- 在高流量期间,酸性运输从54.0降至42.5/天,这是由于增强的中和.
- 超过90%的金属流量来自Riotinto,Tharsis和San Telmo矿区.
- 100%的减排方案大大改善了水库水质,而50%的减排却不足以满足饮用或灌标准.
结论:
- 开发的模型准确地模拟了AMD的影响,并有助于为流域恢复做出决策.
- 为了达到饮用和灌用水质量标准,需要充分回收主要的AMD来源.
- 该模型可转移到全球其他受AMD影响的盆地,提供了有价值的管理工具.
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