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Watershed Planning within a Quantitative Scenario Analysis Framework

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Published on: July 24, 2016

BULL Database - Spanish Basin attributes for Unravelling Learning in Large-sample hydrology.

Javier Senent-Aparicio¹, Gerardo Castellanos-Osorio², Francisco Segura-Méndez²

¹Department of Civil Engineering, Catholic University of San Antonio, Campus de los Jerónimos s/n, 30107, Murcia, Spain. jsenent@ucam.edu.

Scientific Data

|July 6, 2024

Summary

A new hydrological dataset for Spain, BULL, offers extensive data on 484 basins, including crucial hydrological alteration analysis. This open resource aids large-sample hydrological studies in anthropized river systems.

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Area of Science:

Hydrology
Environmental Science
Data Science

Background:

Spain's rivers face significant human impact (anthropization).
Existing hydrological datasets may lack comprehensive attributes or analysis of human influence.
There is a need for open, large-sample hydrological data to study these complex systems.

Purpose of the Study:

To introduce the BULL dataset, a novel hydrological resource for Spain.
To combine hydrometeorological time series with diverse basin attributes.
To analyze hydrological alteration in Spanish basins.

Main Methods:

Compilation of data for 484 Spanish basins.
Integration of hydrometeorological time series, geology, soil, topography, land cover, and anthropogenic data.
Validation of climatological data using hydrological modeling.
Analysis of hydrological alteration.

Main Results:

The BULL dataset provides comprehensive data for 484 basins.
It includes detailed attributes and validated climatological information.
The dataset uniquely incorporates hydrological alteration analysis.

Conclusions:

The BULL dataset is a valuable, open-access resource for large-sample hydrological studies in Spain.
It facilitates research on anthropized river systems.
The dataset supports understanding hydrological changes in human-impacted environments.