Characterization of hydrometeorological events and flood impacts in the Basque Country.
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| Title: | Characterization of hydrometeorological events and flood impacts in the Basque Country. |
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| Authors: | Gaztelumendi, Santiago1 (AUTHOR) s-gaztelumendi@euskalmet.eus, Egaña, Joseba1 (AUTHOR), Otxoa de Alda, Kepa1 (AUTHOR) |
| Source: | Advances in Science & Research. 2024, Vol. 21, p27-39. 13p. |
| Subjects: | Automatic meteorological stations, Consciousness raising, Data analytics, Freeware (Computer software), Socioeconomic factors |
| Abstract: | In this study, the focus is on the characterization of floods in Basque Autonomous Community, considering damages, hydrometeorological aspects and others factors during the period 2000–2021. The ultimate goal is to contribute to understanding the processes of impact, enhancing awareness, and improving preparedness before flood events. To assess flood impact, damage data from the Spanish Insurance Compensation Consortium areexposureccccccc used as a proxy. For hydro-meteorological characterization and weather context, we use data from the Automatic Weather Station Network and various Euskalmet general and local ad-hoc weather context classifications. Different datasets are conveniently prepared to extract a range of indicators, taking into account: (1) physiographic and socio-economic factors, (2) damages and impact, (3) hydrometeorological aspects, and (4) weather context. Visual data analytics techniques are utilized for analysis, characterization, and presentation of findings. We integrate indicators with diverse temporal resolutions (daily and monthly) and spatial aggregations (primary watersheds and selected hydrological units) to facilitate discussions and derive conclusions. This work establishes a foundation for a semi-automatic procedure for data preparation, indicator extraction, analysis, and results presentation. Although it is a strategy specifically designed for its application in our context, we believe it can serve as inspiration for conducting similar free software based exercises in other parts of the world. [ABSTRACT FROM AUTHOR] |
| Copyright of Advances in Science & Research is the property of Copernicus Gesellschaft mbH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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