导向注射驱动的污染物在地下水系统中运输,其分散系数异常变化
S Nagouda Smita1, R Iyer Aiswarya1
1Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India.
Journal of contaminant hydrology
|December 20, 2025
概括
这项研究模拟了地下水中的污染物运输,显示了分散和非线性吸附如何影响羽毛传播. 结果指导含水层分析和水质管理,支持清洁水目标.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 计算建模 计算建模
背景情况:
- 地下水受到重金属,生物和放射性物质的污染会带来重大风险.
- 污染物迁移由导向,分散和吸收控制,需要强大的数学模型.
- 不同质的地下水系统为准确预测污染物运输带来了复杂的挑战.
研究的目的:
- 为了研究异质地下水中非交点分散对污染物羽毛演变的影响.
- 分析非线性吸附机制对污染物形态的影响.
- 开发和应用一种计算方法,在现实现场条件下对污染物运输进行建模.
主要方法:
- 使用偏向分散方程 (ADE) 的数学建模.
- 数字模拟使用和平人-拉奇福德交替方向隐式 (PR-ADI) 方案和托马斯算法.
- 在定向注射边界和不同分散系数下分析污染物迁移.
主要成果:
- 非对称的分散系数导致了更广泛的污染物羽毛演变.
- 非线性吸附模型表明对和极限的依赖,产生物理相关的结果.
- 隔离度地图说明了流动模式,并支持对各种水文流入的稳定性解释.
结论:
- 该研究为地下水中的污染物运输建模提供了一个计算框架,包括异质性和非线性吸收.
- 羽形态对分散和地下水速度的变化敏感,为含水层管理提供了洞察力.
- 调查结果有助于可持续的水质管理,并与可持续发展目标6保持一致.
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