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Proceeding Paper

Drought Risks Assessment Using Standardized Precipitation Index †

by
Martina Zeleňáková
1,*,
Tatiana Soľáková
1,
Mladen Milanović
2,
Milan Gocić
2 and
Hany F. Abd-Elhamid
3,4
1
Institute of Circular and Sustainable Construction, Faculty of Civil Engineering, Technical University of Kosice, 04200 Kosice, Slovakia
2
Faculty of Civil Engineering and Architecture, University of Nis, 18000 Nis, Serbia
3
Department of Water and Water Structures Engineering, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
4
Department of Environmental Engineering, Faculty of Engineering, Technical University Kosice, 04200 Kosice, Slovakia
*
Author to whom correspondence should be addressed.
Presented at the 4th International Conference on Advances in Environmental Engineering, Ostrava, Czech Republic, 20–22 November 2023.
Eng. Proc. 2023, 57(1), 38; https://doi.org/10.3390/engproc2023057038
Published: 11 December 2023

Abstract

:
The paper explores the occurrence of minimal precipitation extremes at specific meteorological stations in the southeastern region of Serbia. With climate change leading to increased instances of droughts, these natural phenomena have garnered heightened interest due to their negative impacts on society, environment, and the economy. Employing the SPI-12 index in the southeastern part of Serbia from 1946 to 2021, the study sheds light on the vulnerability of this natural phenomenon in the observed stations. Understanding historical manifestation of these events helps water resource managers, farmers and policymakers manage these risks in the southeastern region of Serbia.

1. Introduction

Drought is a natural hazard whose likelihood increases with changing weather conditions [1]. The hydrologic cycle’s parameters have been affected by climate, which led to changes in temperature and precipitation patterns that may increase the probability of floods and droughts [2,3]. The analysis of drought is a well-known topic in the scientific field. Starting from defining the main parameters of drought, to defining how to quantify it using different drought indices [4], the researchers have been occupied with how to describe drought risk assessment [5,6]. The SPI is used for drought analysis in different areas of the world [7]. This study aims to assess drought in Serbia from 1946 to 2021 using the Standardized Precipitation Index (SPI), which is based on measured monthly precipitation data at five synoptic stations located in the south-east of the country.

2. Materials and Methods

The Standardized Precipitation Index is a versatile and powerful tool for drought analysis [8]. It was developed to determine the precipitation change over a period of time. The SPI is calculated every n months at a different time scale, from 1 to 48 months depending on the time of interest. It can assist in diagnosing, defining, and monitoring drought that impacts a variety of human activities as well as ecosystems [9]. The SPI is used in this study to analyze drought at five meteorological stations (Nis, Leskovac, Dimitrovgrad, Vranje, Zajecar) located in the south-east part of Serbia. The monthly precipitation data were collected for the period from 1946 to 2021 and used for calculating the SPI for a 12-month time scale. The SPI is based on the cumulative probability of precipitation occurring at the observation station and the application of the Gamma function [8]. The analyzed region is characterized by a moderate precipitation regime with the average annual precipitation of 650 mm. The precipitation values are below average in Serbia.

3. Results and Concluding Remarks

The results of SPI for drought are presented and analyzed. The results of SPI-12 for five stations are shown in Figure 1 and extreme droughts are marked in green. Drought analysis using the SPI was done on a 12-month time scale for all selected stations for 75 years. The results of the SPI were used to identify the intensity of drought. The results for the selected five stations in south-east Serbia are presented in Table 1. The Nis station has the highest drought intensity (−3.809) and the Zajecar station has the highest wet intensity (3.231). According to results, the driest years for this region are 1993, 1949 and 1985, while the wettest years are 2010, 1955 and 2018, respectively. Based on the terrain topography and local hydro-climatic conditions, it is clear that drought periods and intensity are not the same at all stations. The Leskovac station stands out, from all stations, as the driest station with 142 dry months in observed period, while Vranje is the wettest station with 149 months. The analysis showed that extremely dry states are presented at Nis in 1947 (12 months) and in 1949 (4 months), Leskovac in 1959 and 1972 (5 months) and in 1964 (4 months), Dimitrovgrad in 1950 (6 months), in 1949 and 1993 (5 months) and in 2001 (4 months), Vranje in 1992 (5 months) and in 1990 and 2001 (4 months) and Zajecar in 2001 (4 months). It is clear that the driest stations are Zajecar and Dimitrovgrad (especially in the period 1946–1952) and the wettest is the Vranje station.
The most frequent long-term minimum precipitation totals appear in the winter months. In the period from 1965 to 1983, no extremely long-term meteorological drought was recorded in the monitored stations. The Leskovac station is the most sensitive to the occurrence of extreme long-term precipitation deficits.

4. Conclusions

The analysis of drought using the SPI was calculated on a 12-month time scale for five stations in the south-east of Serbia for 75 years from 1946 to 2021. From the results, it is possible to see how extreme droughts often occurred during the period 1946–2021. Drought analysis could help decision-makers in water resources management. The results approved that SPI is a useful tool that could help decision-makers make efficient plans for drought risk management that could mitigate the impacts of such disasters. This analysis, on a local scale, can be easily applied in different locations around the world.

Author Contributions

Conceptualization, M.Z., H.F.A.-E. and M.G.; Data curation, T.S. and M.M.; Formal analysis, M.Z., H.F.A.-E. and M.G.; Investigation, T.S., M.M. and H.F.A.-E.; Methodology, M.Z., H.F.A.-E. and M.G.; Project administration, M.Z. and M.G.; Resources, M.Z. and M.G.; Software, T.S., M.M. and H.F.A.-E.; Supervision, H.F.A.-E. and M.G.; Validation, T.S., M.M. and H.F.A.-E.; Visualization, T.S. and M.M.; Writing—original draft, M.Z. and T.S.; Writing—review & editing, M.Z., M.G., T.S., M.M. and H.F.A.-E. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

This work was supported by the Slovak Research and Development Agency under the Contract no. APVV-20-0281 and SK-SRB-21-0052.

Conflicts of Interest

The authors declare no conflict of interest.

References

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  8. McKee, T.B.; Doesken, N.J.; Kleist, J. Drought monitoring with multiple time scales. In Proceedings of the 9th Conference on Applied Climatology, American Meteorological Society, Dallas, TX, USA, 15–20 January 1995; pp. 233–236. [Google Scholar]
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Figure 1. SPI-12—hydrographs for south- east part of Serbia during the period 1946–2021. Black are the SPI values; green are the extreme values of drought that occurred at this station.
Figure 1. SPI-12—hydrographs for south- east part of Serbia during the period 1946–2021. Black are the SPI values; green are the extreme values of drought that occurred at this station.
Engproc 57 00038 g001aEngproc 57 00038 g001b
Table 1. Identification of drought by SPI-12 for selected five stations.
Table 1. Identification of drought by SPI-12 for selected five stations.
StationMaximum Drought IntensityDriest YearMaximum Wet IntensityWettest Year
Dimitrovgrad−3.35819502.7712015, 2021
Leskovac−3.1771959, 19643.0041955
Nis−3.80919473.1102005
Vranje−3.22719932.8142010
Zajecar−3.33719933.2312010
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MDPI and ACS Style

Zeleňáková, M.; Soľáková, T.; Milanović, M.; Gocić, M.; Abd-Elhamid, H.F. Drought Risks Assessment Using Standardized Precipitation Index. Eng. Proc. 2023, 57, 38. https://doi.org/10.3390/engproc2023057038

AMA Style

Zeleňáková M, Soľáková T, Milanović M, Gocić M, Abd-Elhamid HF. Drought Risks Assessment Using Standardized Precipitation Index. Engineering Proceedings. 2023; 57(1):38. https://doi.org/10.3390/engproc2023057038

Chicago/Turabian Style

Zeleňáková, Martina, Tatiana Soľáková, Mladen Milanović, Milan Gocić, and Hany F. Abd-Elhamid. 2023. "Drought Risks Assessment Using Standardized Precipitation Index" Engineering Proceedings 57, no. 1: 38. https://doi.org/10.3390/engproc2023057038

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