English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Floods can be predicted with some notice and their death toll is reduced compared to other disasters (i.e., earthquakes or cyclones). Nevertheless, their negative aftermath (e.g., transport limitations, agricultural damage, water pollution, disease spreading, and effects on the people’s mental health) are inescapable. This paper explored the potential of meteorological observations and enhanced data manipulation to support warning systems based on a database approach. We also focused on the development of a visualization platform to support time series data properties. The investigation emphasized that database-oriented work is adequate for relational spatial data storage and active operational mechanisms.

An Enhanced Meteorological Observation System for Water-Related Disaster Assessment