相关实验视频

Updated: May 31, 2025

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

评估地质地下水污染风险建模中的不确定性

Maryam Gharekhani¹, Ata Allah Nadiri^2,3,4, Nasser Jabraili Andaryan¹

¹Department of Earth Sciences, Faculty of Natural Sciences, University of Tabriz, Tabriz, East Azerbaijan, Iran.

Environmental science and pollution research international

|January 23, 2025

概括

这项研究量化了地质污染物如 (Pb) 的地下水污染风险. 贝叶斯模型平均化 (BMA) 有效地集成了多个模型,揭示了支持向量机 (SVM) 的表现最好,并突出了 kriging 插值.

科学领域:

环境科学环境科学
水文地质学水文地质学
地质化学地质化学

背景情况:

地下水污染风险评估对于污染管理至关重要.
在测量地下水污染模型中的不确定性方面存在研究缺口.
地质污染物,如 (Pb),对含水层系统构成重大风险.

研究的目的:

为了解决地下水污染风险建模中的不确定性.
重新关注地质污染物,特别是 (Pb) 的风险暴露.
使用贝叶斯模型平均 (BMA) 集成多个预测模型.

主要方法:

使用SPECTR框架进行评估的水层脆弱性.
通过无监督方法生成的地质污染物风险指数.
个别模型 (基因表达编程,M5P,支持矢量机) 增强了地质风险预测.
贝叶斯模型平均 (BMA) 结合了个别模型的结果.
分析模型不确定性,考虑模型间和模型内部的差异.

主要成果:

无监督风险指数显示与测量 (Pb) 度具有可接受的相关性.
单个模型准确地提高了数据的可预测性.
对于支持矢量机 (SVM) 模型,BMA赋予了更高的权重,表明其性能优越.
建模不确定性主要受到模型内部方差的影响,特别是来自 kriging 插值.

结论:

BMA有效地整合了各种模型,以进行可靠的地下水污染风险评估.
支持矢量机 (SVM) 显示出对地质污染物风险的强有力的预测能力.
了解和量化模型不确定性,特别是从插值方法,对于可靠的风险评估至关重要.

关键词:

贝叶斯模型平均化 (BMA)地质污染物地质污染物潜在的地下水污染风险不确定性不确定性

更多相关视频

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

相关概念视频

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

Typical Model Studies

Typical Model Studies

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.

Contaminants and Errors

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...