铬污染迁移修复过程自适应仿真外挂系统计算与三维可视化数值模拟
Numerical Simulation of Chromium Pollution Migration Remediation Process with Adaptive Simulation Plug-In System Calculation and Three-Dimensional Visualization
DOI: 10.12677/ag.2024.146072, PDF,    国家科技经费支持
作者: 段宇玺, 毛先成*：有色金属成矿预测与地质环境监测教育部重点实验室，湖南 长沙；中南大学地球科学与信息物理学院，湖南 长沙；有色资源与地质灾害探查湖南省重点实验室，湖南 长沙
关键词: 地下水数值模拟；铬污染修复；自适应仿真外挂系统 ；Groundwater Numerical Modeling； Chromium Contamination Remediation； Adaptive Simulation Plug-In System
摘要: 铬污染迁移修复过程数值模拟是研究铬渣遗留场地铬污染三维时空分布，优化铬污染治理方案的重要手段。由于铬渣遗留场地存在三维结构及参数的时空异质性和修复技术的综合多样性，现有的数值模拟技术无法准确地模拟复杂场地铬污染迁移修复过程，为了解决这一问题，本文提出了铬污染迁移转化与修复过程模拟引擎–自适应外挂耦合计算架构及仿真范式。以某铬渣遗留场地为例，结合场地勘探数据，实验室数据以及监测数据，利用铬污染迁移修复过程模拟引擎–自适应外挂耦合计算架构，进行铬污染迁移修复过程模拟，得到了场地铬污染三维时空分布情况。
Abstract: Numerical simulation of chromium pollution migration remediation process is an important means to study the three-dimensional spatio-temporal distribution of chromium pollution in chromium slag legacy sites and to optimize the chromium pollution management scheme. Due to the spatial and temporal heterogeneity of the three-dimensional structure and parameters of the chromium residue legacy site and the comprehensive diversity of the remediation technology, the existing numerical simulation technology can not accurately simulate the chromium contamination migration and remediation process of complex sites, in order to solve this problem, this paper puts forward the chromium contamination migration transformation and bioremediation process simulation engine-adaptive plug-in coupled computational architecture and simulation paradigm. Taking a chrome residue site as an example, combined with the site exploration data, laboratory data and monitoring data, the chromium pollution migration and remediation process simulation is carried out by utilizing the chromium pollution migration and remediation process simulation engine-adaptive plug-in coupling computational architecture, and the three-dimensional spatial and temporal distribution of chromium pollution at the site is obtained.
文章引用：段宇玺, 毛先成. 铬污染迁移修复过程自适应仿真外挂系统计算与三维可视化数值模拟[J]. 地球科学前沿, 2024, 14(6): 774-788. https://doi.org/10.12677/ag.2024.146072

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