Trend analysis of drought indices in the eastern Slovakia

Nagy, Patrik; Purcz, Pavol; Gałaś, Slávka; Portela, María Manuela; Hlavatá, Helena; Simonová, Dorota

doi:10.1088/1757-899x/867/1/012033

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…This means that the drought is increasing during the statistical period under study, also considering that in all the studied areas the value of the Z statistic is lower than 1.96, no significant trend has been observed at the 95% confidence level. Nagy et al (2020) found no significant trend in all the indicators (SPI and SPEI) when evaluating stations in Slovakia. Also, since the value of the Z statistic was negative during the study period (May, July, August, and September) in relation to remote sensing indicators such as NDVI, SAVI, and SR, there is a downward trend (reduction of vegetation and increase of drought).…”

Section: Resultsmentioning

confidence: 65%

Comparison of different drought monitoring indices in different climatic conditions in Iran

Rahnama,

Shahidi,

Yaghoobzadeh

et al. 2024

ATM

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This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014-2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that SAVI performs better than NDVI for Shiraz and Birjand. The results also show that the drought severity could grow with decreasing rainfall and more water demand due to temperature increases, according to SPI, SPEI, and PDSI criteria. The comparison of drought indices showed that the highest correlations were between NDVI plus SAVI and SPI in Rasht, SR and SPEI in Shiraz, and NDVI and SPEI in Birjand. Based on the results of the Mann-Kendall test, the increasing trend of drought in the studied area is confirmed based on the SPI, SPEI, and PDSI. Therefore, it is suggested that remote sensing techniques combined with drought indices can be considered a suitable tool for optimal management of water resources, land use planning, and reduction of costs due to drought.

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Section: Resultsmentioning

confidence: 65%

Comparison of different drought monitoring indices in different climatic conditions in Iran

Rahnama,

Shahidi,

Yaghoobzadeh

et al. 2024

ATM

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“…Meteorological and agricultural droughts have been considered by many authors (Karamuz et al, 2021;Łabędzki, 2015;Rimkus et al, 2020), but they defined drought mostly by drought indices. Also, authors in Slovakia analyse precipitation, meteorological and hydrological drought mainly on the basis of indices Jurík, Kaletová, 2018;Fendeková et al, 2018;Zuzulová, Šiška, 2017;Nagy et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Comparison of Meteorological and Agricultural Drought in the Nitra River Basin in 2014–2020

Kišš¹,

Tárník²,

Čimo³

2022

ASP.FC

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Aim of the study: Droughts are one of the more costly natural hazards on a year-to-year basis. Their impacts are significant and widespread, affecting many economic sectors and people at any one time (WMO & GWP, 2016). In our paper we will focus on the comparison of meteorological drought (precipitation) and agricultural drought (available soil water) in the Nitra River basin, Slovakia. Material and methods: Data from the Nitra River Basin were provided from the meteorological stations (Svinná, Bystričany, Solčany, Veľké Ripňany, Jelenec and Pribeta ) of the Slovak University of Agriculture in Nitra. The meteorological drought is defined as a period with no precipitation (Petrovič, 1960). Agricultural drought was determined as the value below the amount of water storage in the soil profile (0.20 m) accessible to plants. Results and conclusions: We focused on the comparison of meteorological drought and the number of days with both type of drought is from year 2014 increasing. The worst year was 2018 in every meteorological station, when the agricultural drought was with short interruptions from sprig to winter. This trend can also be seen in the countries neighbouring Slovakia - Poland, Hungary or Czech Republic.

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“…As shown in Table 1, SPI is capable to identify drought and flood occurrences in a probabilistic manner (Blain, 2012). SPI is a commonly used metric for determining severe dryness or wetness (e.g., Bothe et al, 2010; Nagy et al, 2020; Santos et al, 2010; Sienz et al, 2012; Zhu et al, 2011). SPI is used in this study to analyze draught and flood at 10 precipitation stations located in the west part of Syria.…”

Section: Methodsmentioning

confidence: 99%

Monitoring flood and drought risks in arid and semi‐arid regions using remote sensing data and standardized precipitation index: A case study of Syria

Abd‐Elhamid,

Zeleňáková,

Soľáková

et al. 2023

J Flood Risk Management

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Flood and drought are natural phenomena whose probability of occurrence increases with changing weather conditions. Climate change has affected the hydrologic cycle's parameters and led to changes in temperature and precipitation pattern, which may increase the probability of occurrence of floods and droughts. Arid and semi‐arid areas are subject to extreme weather conditions and water resources scarcity. This study aims to assess drought and flood in Syria using remote sensing data. Monthly precipitation data have been collected from 10 land stations in the western part of Syria for the period (1991–2009) and satellite images for monthly precipitation from 1983 to 2020 were collected. The land stations data were used to correct the satellite images and correction equation was developed for each station. Standardized Precipitation Index (SPI) is used for analysis of drought and flood. Also, the main parameters for drought and flood, severity, intensity, duration, and the average return time were estimated. The results showed extreme flood events were recorded in 1988, 2002, 2012, and 2019 and extreme drought events were recorded in 1990, 2014, and 2016. The highest severity of drought and flood were recorded in 2014 and 1988 respectively. However, the highest intensity of droughts and floods was recorded in 2016 and 1988, respectively. If land station data are unavailable, as in the case of Syria owing to the protracted war, satellite images may be a useful source of data for drought and flood analysis after correction. This methodology can help in drought/flood analysis and estimate severity, intensity, duration, and the average return time of flood and drought in other locations of the world. The results proved that SPI is a useful tool to predict the time of occurrence of both flood and drought that could help decision‐makers for putting efficient plans for flood and drought risk management that could mitigate the impacts of such risks.

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Trend analysis of drought indices in the eastern Slovakia

Cited by 5 publications

References 9 publications

Comparison of different drought monitoring indices in different climatic conditions in Iran

Comparison of different drought monitoring indices in different climatic conditions in Iran

Comparison of Meteorological and Agricultural Drought in the Nitra River Basin in 2014–2020

Monitoring flood and drought risks in arid and semi‐arid regions using remote sensing data and standardized precipitation index: A case study of Syria

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