# Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/regional-groundwater-productivity-potential-mapping-using-a-geographic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saro Lee,Kyo-Young Song,Yongsung Kim,Inhye Park |
| Citations | 152 |
| DOI | 10.1007/s10040-012-0894-7 |
| Fields | Computer Science,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W63663852 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Yongsung Kim](https://scholariq.org/researchers/yongsung-kim/)

## Paper primary topic

- [Groundwater and Watershed Analysis](https://scholariq.org/topics/groundwater-and-watershed-analysis/)

## Paper topics

- [Groundwater and Watershed Analysis](https://scholariq.org/topics/groundwater-and-watershed-analysis/)
- [Hydrology and Watershed Management Studies](https://scholariq.org/topics/hydrology-and-watershed-management-studies/)
- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)

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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.