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Optimization Strategies for in Situ Groundwater Remediation by a Vertical Circulation Well Based on Particle-Tracking and Node-Dependent Finite Difference Methods

机译:基于粒子跟踪和节点依赖性有限差异方法的垂直循环井原位地下水修复优化策略

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摘要

Both theory and application of multispecies reactive transport for in situ groundwater bioremediation involving a vertical circulation well (VCW) are not fully understood despite its importance and common usage in aquifer remediation practices. This study proposes novel approaches including two methods for design and remediation prediction of a VCW system, which involves multispecies, multiphase, and microbially enhanced reactive transport process. One is particle-tracking method, which depicts the trajectories of particles released from an injection chamber; the other is node-dependent finite difference (NDFD) method, which describes the advection-dispersion process based on the inflow and outflow directions at each node. The numerical results demonstrate that the particle-tracking method works well by yielding a useful index, that is, the recovery ratio, which helps optimize the in situ preliminary remediation screening. When biochemical parameters, dispersivities, and in situ contaminated conditions are known after the preliminary screening, the NDFD method performs better than the conventional Laplace transform finite difference method in terms of describing multispecies reactive transport with multiple phases in a VCW system. The proposed particle-tracking method and NDFD methods are employed to elucidate different effects of factors such as injection mode, hydraulic conductivity anisotropy ratio, distance between injection and extraction screened intervals, and injection/extraction rate on recovery and removal ratios. Our findings suggest that both methods are effective tools for optimization and prediction of VCW remediation in an anisotropic aquifer.
机译:尽管含水层修复实践的重要性和常见使用,但涉及垂直循环井(VCW)的原位地下水生物修复的理论和应用既不完全明白。本研究提出了新的方法,包括两种用于VCW系统的设计和修复预测的方法,这涉及多数,多相和微生物增强的反应性运输过程。一种是粒子跟踪方法,其描绘了从注射室释放的颗粒的轨迹;另一个是节点依赖性有限差(NDFD)方法,其基于每个节点处的流入和流出方向描述了前进分散过程。数值结果表明,通过产生有用的指标,即回收率,粒子跟踪方法很好地有助于优化原位初始修复筛选。当在初步筛选之后已知生物化学参数,分散性和原位污染的条件时,在描述VCW系统中的多个阶段的多个阶段,NDFD方法比传统的拉普拉斯变换有限差分方法更好地执行。采用所提出的粒子跟踪方法和NDFD方法来阐明诸如注射模式,液压传导各向异性比率,注射和提取筛选间隔之间的距离的不同效果,以及恢复和去除率的喷射/提取率。我们的研究结果表明,两种方法都是优化和预测各向异性含水层中VCW修复的有效工具。

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