Research output per year
Research output per year
Abstract
This dataset integrates **groundwater level observations** from the Tuscany regional groundwater monitoring network with **hydro-climatic indicators** derived from the BIGBANG80 water balance model for the period **January 2005 – December 2023**.
The dataset was developed to support **groundwater drought analysis**, hydrological trend studies, and the assessment of relationships between climatic conditions and groundwater variability.
Each file corresponds to a **single groundwater monitoring well**, named using the groundwater code and well name (e.g., `WellName.csv`).
The dataset was developed to support **groundwater drought analysis**, hydrological trend studies, and the assessment of relationships between climatic conditions and groundwater variability.
Each file corresponds to a **single groundwater monitoring well**, named using the groundwater code and well name (e.g., `WellName.csv`).
Version
1
| Date made available | 2025 |
|---|---|
| Publisher | Zenodo |
| Temporal coverage | 2005 - 2023 |
| Date of data production | 2025 |
| Geographical coverage | Tuscany |
Keywords
- Groundwater
- Drought
- Indicators
- Tuscany
- no relations to project
Format
- Format
- csv
Research output
- 1 Conference paper
-
When drought goes underground: a machine learning approach to groundwater drought
Elsaidy, A. M. A., Van Griensven, A., Yimer, E. A., Huysmans, M., Villani, L. & Moreno Gomez, M. A., 5 Jun 2026, Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026). Zenodo, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access
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