SUSTAINABILITY, cilt.15, sa.7, 2023 (SCI-Expanded)
One of the critical
consequences of climate change at both local and regional scales is a change in
the patterns of extreme climate events such as droughts. Focusing on the
different types of droughts, their quantifying indices, associated indicators,
and sources of data (remote sensing (RS)/in situ measurements), this article
reviewed the recent studies (from 2010 to 2022) that have explored drought
features in Turkey. To this end, a total of 71 articles were selected from the
Web of Science (WoS) and Scopus databases. The selected papers were clustered
into two categories: (i) drought monitoring studies and (ii) drought
forecasting articles. Then, the representative papers were reviewed in detail
regarding the implemented indices, models (techniques), case study area, and
source of the indicators used to derive drought indices. The review results
showed that most of the studies aimed at meteorological drought monitoring and
forecasting. An increasing trend was also observed in the use of machine
learning for short-term meteorological and hydrological drought prediction. On
the other hand, the emerging RS technology and satellite-driven indicators were
rarely used in the country. The review showed that there is room for more
research on agricultural and hydrological drought monitoring, forecasting, and
pattern detection in Turkey.