La CHJ traslada a la jueza que los datos del SAIH del día de la dana era "accesibles" para Emergencias

The Júcar River Basin Authority clarifies that real-time hydrological data from the SAIH system was fully accessible to emergency services during the October DANA event, challenging narratives of information withholding. By providing specific alerts via email and a dedicated application, the agency demonstrates that its observational system functioned as intended, delivering critical updates on rainfall and water levels. This transparency underscores the importance of reliable data infrastructure in crisis management, showing that technical limitations regarding sensor coverage did not equate to a lack of available information for authorities. Crucially, the report highlights that the SAIH is an observation tool, not a prediction system, and is limited by the geographic placement of sensors in fast-flowing basins. This distinction is vital for understanding that immediate flood risks often originate from areas outside direct sensor monitoring, requiring rapid, multi-source decision-making rather than reliance on a single data point. The swift nature of these hydrological events emphasizes that while data is essential, it must be interpreted within the broader context of local terrain and weather patterns to be effective. This article is highly relevant to open data initiatives as it illustrates the necessity of transparent, publicly accessible datasets alongside targeted professional channels. It argues that open access to real-time hydrological information empowers both citizens and institutions, fostering trust and enabling better risk assessment. The case serves as a reminder that open data strategies must account for technical limitations and clearly communicate the difference between raw observations and predictive models to ensure public safety and administrative accountability.

Source: gentedigital.es
Published on 2025-02-15

Inflación en Argentina: "Si bien el dato es positivo, ahora el desafío es aumentar los salarios" »

Open Data

Related news