模型开发和运输在杂-土壤-地下水系统中的概率风险,条件异质
Zhichao Jiang1, Zhaohui Guo1, Chi Peng1
1School of Metallurgy and Environment, Central South University, Changsha 410083, China.
The Science of the total environment
|June 28, 2023
概括
一个新的模型预测了炼场的微金属出. 场景B,随着废渣的增加,由于积累,构成地下水风险最高.
科学领域:
- 环境科学 环境科学
- 地质化学 地质化学
- 风险评估 风险评估
背景情况:
- 来自炼场的微金属漏威胁着地下水.
- 了解长期风险对于环境保护至关重要.
研究的目的:
- 开发一种基于质量平衡的随机模型,用于微量金属的运输.
- 在渣渣-土壤-地下水系统中模拟概率风险.
- 评估不同的渣渣堆叠场景.
主要方法:
- 开发了一种基于质量平衡的随机模型.
- 将模型应用于一个炼废渣厂,并使用三个堆叠场景.
- 模拟的微量金属 (Cd) 浸出和积累超过100年.
主要成果:
- 场景B (增加的渣渣) 显示出最大的Cd出和积累.
- 场景B在100年后对地下水安全存在很高的概率风险 (>99.9%).
- 流水拦截率,输入流量和堆叠时间是关键的风险因素.
结论:
- 开发的模型准确地预测了微金属漏风险.
- 污泥管理策略显著影响地下水污染潜力.
- 结果为炼场的整治工作提供了信息.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
65
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
65
Mechanistic Models: Overview of Compartment Models
118
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
118
Typical Model Studies
385
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
385
Voltammetry: Stripping Methods
283
Anodic Stripping Voltammetry (ASV), Cathodic Stripping Voltammetry (CSV), and Adsorptive Stripping Voltammetry (AdSV) are electrochemical techniques used to determine trace amounts of analytes in solution. These methods involve applying a potential to an electrode and measuring the resulting current.
Anodic Stripping Voltammetry (ASV)
ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
Anodic Stripping Voltammetry (ASV)
ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
283


