TY - JOUR
T1 - Linking drought propagation with episodes of climate-Induced water insecurity in Pernambuco state - Northeast Brazil
AU - Inocêncio, Tiago de Morais
AU - Ribeiro Neto, Alfredo
AU - Oertel, Melanie
AU - Meza, Francisco Javier
AU - Scott, Christopher A.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/10
Y1 - 2021/10
N2 - The semiarid region of Northeast Brazil is characterized by recurrent drought episodes. The magnitude of drought events may be assessed using standardized climate indices (SCIs) based on hydrometeorological variables, including precipitation, evapotranspiration, soil moisture, and streamflow. Drought monitoring may be improved using the concept of drought propagation, which considers the existing link between different types of droughts. Thus, correlations between the SCIs can be used to identify propagation patterns and, subsequently, predict the magnitude of a drought occurring after the first identification of a meteorological drought. In this study, five river basins located in the Pernambuco state in Northeast Brazil were selected for SCI application. The results showed that drought duration plays an important role in the final value of the SCI. Further, events between 2012 and 2017 had more severe SSMI (Standardized Soil Moisture Index) and SSI (Standardized Streamflow Index) values than SPI (Standardized Precipitation Index) and SPEI (Standardized Precipitation Evapotranspiration Index). Thus, the SPI alone may not be able to properly detect the magnitude of some droughts. The results of this study show the potential of the SCIs for monitoring systems and how information of soil moisture and streamflow, besides precipitation, can be useful for drought preparedness.
AB - The semiarid region of Northeast Brazil is characterized by recurrent drought episodes. The magnitude of drought events may be assessed using standardized climate indices (SCIs) based on hydrometeorological variables, including precipitation, evapotranspiration, soil moisture, and streamflow. Drought monitoring may be improved using the concept of drought propagation, which considers the existing link between different types of droughts. Thus, correlations between the SCIs can be used to identify propagation patterns and, subsequently, predict the magnitude of a drought occurring after the first identification of a meteorological drought. In this study, five river basins located in the Pernambuco state in Northeast Brazil were selected for SCI application. The results showed that drought duration plays an important role in the final value of the SCI. Further, events between 2012 and 2017 had more severe SSMI (Standardized Soil Moisture Index) and SSI (Standardized Streamflow Index) values than SPI (Standardized Precipitation Index) and SPEI (Standardized Precipitation Evapotranspiration Index). Thus, the SPI alone may not be able to properly detect the magnitude of some droughts. The results of this study show the potential of the SCIs for monitoring systems and how information of soil moisture and streamflow, besides precipitation, can be useful for drought preparedness.
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U2 - 10.1016/j.jaridenv.2021.104593
DO - 10.1016/j.jaridenv.2021.104593
M3 - Article
AN - SCOPUS:85110443682
SN - 0140-1963
VL - 193
JO - Journal of Arid Environments
JF - Journal of Arid Environments
M1 - 104593
ER -