10th International Çukurova Agricultural and Veterinary Congress, Adana, Türkiye, 22 - 23 Haziran 2025, ss.82, (Özet Bildiri)
Climate change and its related natural hazards, such as drought, have increased in recent years,
affecting several sectors, including agriculture, industry, and others. The decreasing
precipitation amounts, rising temperatures, and decreasing river flows due to climate change
have started to show themselves frequently in recent years, with increasing drought events in a
large part of Europe. Droughts have negative impacts on ecosystems, agriculture, and water
resources. One of the regions where drought risk has increased in recent years and is also
vulnerable to the effects of climate change is Bavaria, one of the largest states in Germany. The
vulnerabilities of Bavaria, with its important agricultural and forest areas as well as the water
resources needed by the population and industry, make it necessary to address and assess
drought hazards in the region scientifically. In this study, a spatial assessment of the drought
hazard across the state of Bavyara was analyzed using the Drought Hazard Index (DHI) based
on the Standardized Precipitation Index (SPI) and its related drought characteristics, such as
severity, duration, intensity, and frequency. Also, the sensitivity analysis of these characteristics
in DHI calculation is assessed, the impact of each character on the drought hazard is
investigated, and critical scenarios for drought are identified. DHI is used to temporally and
spatially assess and map the hazard level of droughts. The monthly precipitation data between
1964 and 2023 was used in the Bavaria region. The results showed how likely frequent, severe,
and duration of drought are in the Bavaria region, along with its negative effects, the essential
steps that must be taken to avoid these effects, and the adaptation strategies. The red color is
the mist hazard area over the study area, having values near 4 - high hazard levels of droughts.
One of the most significant outputs of this research is determining the effect/role of each
variable in DHI calculation. The results have made a significant contribution to the academic
field, decision-makers, and policy-makers in terms of water resources management and
adaptation strategies.