<p>Drought significantly affects water availability and agricultural productivity in the Nile River Basin, but its assessment has been limited. This study was conducted to evaluate Standardized Precipitation-Evapotranspiration drought index (SPEI) and soil moisture from 2000 to 2022 using Google Earth Engine (GEE). Version 2.9 SPEI database was used evaluate drought index on 1-, 3-, and 6-month time scales whereas soil moisture active passive dataset was used to estimate soil moisture. SPEI-1 revealed extreme droughts in January 2003 (-1.376), September 2004 (-1.547), February 2005 (-1.534), and September 2009 (-1.627), with prolonged droughts between 2002–2010. SPEI-3 values confirmed persistent water stress in 2001–2002, peaking at -1.293 in September 2002, and reaching -1.724 in March 2013. Severe conditions also appeared in June 2009 (-1.629) and May 2004 (-1.495). SPEI-6 highlighted multi-month droughts events, notably in 2002 (September: -1.368; November: -1.285), 2004 (August: -1.527), and 2009 (June: -1.761). Positive SPEI 6 values in 2007, 2014, 2018, and 2022 indicated wetter periods. Soil moisture was show decreasing trends with an increase of drought index. Significant increasing trends was observed for SPEI 1 and 3 in February and October (Z = 2.10–2.50) and significant trends were not found for SPEI 6. The mean values of R<sup>2</sup> and NSE for GEE in predicting the SPEI index were both 0.92, while the RMSE was 0.11 that demonstrating better performance of GEE for drought monitoring.</p>

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Evaluation of standardized precipitation evapotranspiration drought index and soil moisture in the Nile River Basin using google earth engine cloud computing approach

  • Birara Gebeyhu Reta

摘要

Drought significantly affects water availability and agricultural productivity in the Nile River Basin, but its assessment has been limited. This study was conducted to evaluate Standardized Precipitation-Evapotranspiration drought index (SPEI) and soil moisture from 2000 to 2022 using Google Earth Engine (GEE). Version 2.9 SPEI database was used evaluate drought index on 1-, 3-, and 6-month time scales whereas soil moisture active passive dataset was used to estimate soil moisture. SPEI-1 revealed extreme droughts in January 2003 (-1.376), September 2004 (-1.547), February 2005 (-1.534), and September 2009 (-1.627), with prolonged droughts between 2002–2010. SPEI-3 values confirmed persistent water stress in 2001–2002, peaking at -1.293 in September 2002, and reaching -1.724 in March 2013. Severe conditions also appeared in June 2009 (-1.629) and May 2004 (-1.495). SPEI-6 highlighted multi-month droughts events, notably in 2002 (September: -1.368; November: -1.285), 2004 (August: -1.527), and 2009 (June: -1.761). Positive SPEI 6 values in 2007, 2014, 2018, and 2022 indicated wetter periods. Soil moisture was show decreasing trends with an increase of drought index. Significant increasing trends was observed for SPEI 1 and 3 in February and October (Z = 2.10–2.50) and significant trends were not found for SPEI 6. The mean values of R2 and NSE for GEE in predicting the SPEI index were both 0.92, while the RMSE was 0.11 that demonstrating better performance of GEE for drought monitoring.