# Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mathematical-and-machine-learning-models-for-groundwater-level-changes-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stephen Afrifa,Tao Zhang,Peter Appiahene,V. Vijayakumar |
| Citations | 89 |
| DOI | 10.3390/fi14090259 |
| Fields | Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1999-5903/14/9/259/pdf?version=1661849429 |
| OpenAlex ID | https://openalex.org/W4293776491 |
| Type | review |
| Year | 2022 |

## Paper authors

- [V. Vijayakumar](https://scholariq.org/researchers/v-vijayakumar/)

## Paper primary topic

- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)

## Paper topics

- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)
- [Flood Risk Assessment and Management](https://scholariq.org/topics/flood-risk-assessment-and-management/)
- [Hydrology and Watershed Management Studies](https://scholariq.org/topics/hydrology-and-watershed-management-studies/)

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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.