# Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-vs-statistical-model-for-prediction-modeling-and-experimental/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fengshi Guo,Yangmin Ren,Yongyue Zhou,Shiyu Sun,Mingcan Cui,Jeehyeong Khim |
| Citations | 14 |
| DOI | 10.1016/j.jhazmat.2024.133825 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4394764246 |
| PMID | 38430587 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shiyu Sun](https://scholariq.org/researchers/shiyu-sun/)

## Paper journal

- [Journal of Hazardous Materials](https://scholariq.org/journals/journal-of-hazardous-materials/)

## Paper primary topic

- [Groundwater flow and contamination studies](https://scholariq.org/topics/groundwater-flow-and-contamination-studies/)

## Paper topics

- [Groundwater flow and contamination studies](https://scholariq.org/topics/groundwater-flow-and-contamination-studies/)
- [Soil and Unsaturated Flow](https://scholariq.org/topics/soil-and-unsaturated-flow/)
- [Geophysical and Geoelectrical Methods](https://scholariq.org/topics/geophysical-and-geoelectrical-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.