Copertina

Salvato in:
Dettagli Bibliografici
Autori principali: Akinade, Basit A., Amanambu, Amobichukwu C., Davis, M. A. Lisa
Natura: Recurso digital
Lingua:
Pubblicazione: Zenodo 2026
Soggetti:
flood detection
early warning
sensor network design
greedy submodular optimization
HUC10 watersheds
National Water Model
USGS streamgages
hydrometric network
hydrology
water resources
Accesso online:https://doi.org/10.5281/zenodo.20389784
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
Sommario:
  • Reproducible Python codebase for a basin-by-basin, multi-sensor flood detection network design framework. Implements greedy submodular optimization for sensor placement across HUC10 watersheds, USGS gage integration analysis (Sentinel / Cascade Sentinel / Gap-Filler / Validator classification), and validation against NOAA National Water Model Retrospective v3.0 streamflow records.

Documenti analoghi