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一种感知式的方法来解决低地透的水域的复杂水资源管理问题
Thomas Homan1, Nicholas J K Howden2, Ruth Barden3
1Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; Water Innovation and Research Centre (WIRC), University of Bath, Bath BA2 7AY, UK.
Water research
|March 7, 2024
概括
水资源管理者需要超越简单方法的新方法. 这项研究使用感知建模揭示了地下水作为流中主要的酸盐来源,挑战了营养污染仅仅以点源驱动的观点.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水资源管理 水资源管理
背景情况:
- 水质管理面临着气候变化,土地利用和持续污染物的日益复杂的问题.
- 现有的启发式方法与高频监测数据作斗争,需要基于物理过程理解的创新方法.
- 改善淡水质量需要从以先例为基础的决策转向以数据为导向,以过程为基础的洞察力.
研究的目的:
- 开发和应用一种感知模型,以了解英国的石灰流中的地表/地下水相互作用.
- 分析空间和时间水质趋势,并使用综合数据构建营养质量平衡.
- 识别和量化淡水污染源,特别是营养物质负载,以改善水资源管理.
主要方法:
- 使用当地的地质,水文地质和水文数据推断了一个高级感知模型.
- 查询了历史水质数据,并构建了可达规模的营养质量平衡.
- 利用桑基图表来新地表示水文特征和来源归因.
主要成果:
- 表面/地下水的相互作用主要是由春季流动驱动的,水层对河流的流动有着显著的贡献.
- 泉源在稀释经过处理的污水时,被确定为遗留酸盐污染的主要贡献者.
- 地下水约占可溶性反应负载的48%,表明散主导的污染源,与典型的点源联系相反.
结论:
- 一种多学科的感知建模方法可以揭示以前未知的污染源和贡献者.
- 流量和负载分配研究为管理淡水系统中营养污染提供了有价值的决策支持.
- 像桑基图这样的新工具提供了可访问的来源归因表示,可转移到其他水资源管理环境中.
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