Spatiotemporal Drought Analysis Using the Composite Drought Index (CDI) over Dobrogea, Romania

被引：0
作者：
Serban, Cristina [1 ]
Maftei, Carmen [2 ]
机构：
[1] Ovidius Univ Constanta, Fac Math & Informat, Constanta 900527, Romania
[2] Transilvania Univ Brasov, Civil Engn Fac, Brasov 500036, Romania
来源：
WATER | 2025年 / 17卷 / 04期
关键词：
CDI; CHIRPS; Dobrogea; drought; IMERG; LST; NDVI; SPI; CLIMATE-CHANGE IMPACTS;
D O I：
10.3390/w17040481
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper discusses a study that examined the severity of droughts and their changes in the Dobrogea region in southeastern Romania between 2001 and 2021 and develops a high-resolution (1 km) Composite Drought Index (CDI) dataset. To explore the effectiveness of the index, we carried out a correlation analysis between the CDI, the Standardized Precipitation Index (SPI), and the Standardized Precipitation Evapotranspiration Index (SPEI), which shows a strong positive relationship among these indices. Analysis of the CDI time series reveals an increase in drought frequency for the study period, due to high temperature and below-normal rainfall. Most parts of the region were affected by moderate, severe, or extreme droughts, except for the years 2002-2005 and 2013. The worst drought events were in 2011, 2012, and 2020, when the region was under severe land surface temperature stress, with values up to 39.13 degrees C. The central and northern areas of the region had the longest period of drought, at 22 months, which started in 2018 and culminated in 2020 when extreme drought covered over 70% of the region. Another major event was in 2015 when 95% of the region experienced severe drought. These results show the potential of the CDI as one of the significant indices in the assessment of drought and provide useful insights into drought monitoring in the future. More than that, we consider that the GPM IMERG satellite product can be used in the implementation of Drought Management Plans in Dobrogea in order to calculate drought indices derived from remote sensing data.
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页数：30
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