Monitoring meteorological drought in Hoa Vang district, Da Nang City, using Google Earth Engine and satellite-derived precipitation data combined with ground-based weather stations

Monitoring the drought progression over time is a critical responsibility to identify the changing trends of this phenomenon. This study aims to assess drought hazard based on the Standardized Precipitation Index (SPI) using satellite-derived precipitation combined with ground station data on the Go...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of water and climate change 2024-11, Vol.15 (11), p.5418-5439
Hauptverfasser:	Hanh, Le Ngoc, Thi An, Tran, Son, Nguyen Hoang, Lang, Le Phuc Chi, Van An, Nguyen, Thuy Linh, Nguyen
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural industry Cloud computing Datasets Drought Drought monitoring Engines Environmental hazards Environmental impact Hazard assessment Hydrologic data Hydrometeorology Interpolation Monitoring Natural environment Precipitation Precipitation data Rainfall Rainfall data Reliability Remote sensing Rivers Satellites Socioeconomic aspects Standardized precipitation index Water shortages Weather hazards Weather stations
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Monitoring the drought progression over time is a critical responsibility to identify the changing trends of this phenomenon. This study aims to assess drought hazard based on the Standardized Precipitation Index (SPI) using satellite-derived precipitation combined with ground station data on the Google Earth Engine cloud computing platform. The study employs the Mann-Kendall test and Sen's slope method to evaluate the reliability of the SPI 1, 3, 6, 9, and SPI12 indices. The results show that SPI12 values have the highest reliability, 12/12 months having p values
ISSN:	2040-2244 2408-9354
DOI:	10.2166/wcc.2024.214