Scholarlink

<p>For risk assessment and management, accurate solute transport modeling is essential because groundwater contamination affects drinking water and ecosystems. In this study, a solute transport model incorporating adsorption, dispersion, and homogeneous flow across different geological formations is developed and compared to improve groundwater contamination prediction accuracy. Under realistic boundary circumstances, solute transport is examined with a uniform source concentration at one end of the geological formation and zero mass flux at the other. Analytical solutions are produced via the Laplace transform, whereas numerical solutions are produced by finite difference methods. The model’s performance is evaluated using the Normalized Root Mean Square Error (NRMSE), Global Performance Indicator (GPI), and statistical tests including two-way ANOVA and <i>t</i>-tests. The unique temporal and spatial concentration patterns found in gravel, silt and clay are effectively represented by the model. Significant variations in solute behavior among geological formations were confirmed by statistical studies and NRMSE values varied from 0.004 to 0.05 across formations. The impact of hydrological conditions on solute distribution is illustrated graphically; clay exhibits higher retention and slower migration than silt and gravel. The model accurately forecasts solute transport and emphasizes the essential function that geological characteristics play in pollution retention. In addition to offering helpful suggestions for groundwater monitoring, pollution prevention, and sustainable water management, it offers insightful information for further reactive transport study.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Modeling and statistical analysis of solute transport in groundwater across different geological formations

  • 期刊论文

  • 发表日期：

    2025年12月15日

查看全文
  • Sanjay Kumar,
  • Pintu Das

摘要

For risk assessment and management, accurate solute transport modeling is essential because groundwater contamination affects drinking water and ecosystems. In this study, a solute transport model incorporating adsorption, dispersion, and homogeneous flow across different geological formations is developed and compared to improve groundwater contamination prediction accuracy. Under realistic boundary circumstances, solute transport is examined with a uniform source concentration at one end of the geological formation and zero mass flux at the other. Analytical solutions are produced via the Laplace transform, whereas numerical solutions are produced by finite difference methods. The model’s performance is evaluated using the Normalized Root Mean Square Error (NRMSE), Global Performance Indicator (GPI), and statistical tests including two-way ANOVA and t-tests. The unique temporal and spatial concentration patterns found in gravel, silt and clay are effectively represented by the model. Significant variations in solute behavior among geological formations were confirmed by statistical studies and NRMSE values varied from 0.004 to 0.05 across formations. The impact of hydrological conditions on solute distribution is illustrated graphically; clay exhibits higher retention and slower migration than silt and gravel. The model accurately forecasts solute transport and emphasizes the essential function that geological characteristics play in pollution retention. In addition to offering helpful suggestions for groundwater monitoring, pollution prevention, and sustainable water management, it offers insightful information for further reactive transport study.