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Assessment of droughts in Romania using the Standardized Precipitation Index

Author

Listed:
  • M. Ionita

    (Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
    University of Bremen)

  • P. Scholz

    (Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research)

  • S. Chelcea

    (National Institute of Hydrology and Water Management)

Abstract

This paper analyses the temporal and spatial variability of droughts in Romania, over the last five decades, based on a high-resolution data set developed at country level, namely ROCADA. Droughts are analyzed by means of the Standardized Precipitation Index (SPI) for 3-, 6- and 12-month time scales. The time period 1979–1995 was identified as the period with the highest number of months affected by moderate, severe as well as extreme drought conditions. The 2000–2001 episode was identified as the major drought event, concerning the severity and the spatial extent, with an area of 60 % of the country affected by extreme drought for more than 10 consecutive months. The results of the trend analysis emphasize an inhomogeneous spatial aspect of the dryness/wetness trends. Statistically significant positive trends (wetter conditions) over small areas distributed inhomogeneous around the country like the southernmost corner as well as the northeastern part and some small areas in the western part of the country have been identified. Statistically significant negative (drier conditions) trends have been obtained over the southwestern part of the country and over the eastern part. In general, the SPI trends follow the observed trends in the monthly precipitation totals, at country level. The results indicate that there is no spatial consistency in the occurrence of droughts at country level and the SPI at different time scales may vary in its usefulness in drought monitoring, due to the fact that in the case of shorter time scales the SPI values have the tendency to fluctuate frequently above and below the zero line, while for longer time scales there are well-defined dry and wet cycles.

Suggested Citation

  • M. Ionita & P. Scholz & S. Chelcea, 2016. "Assessment of droughts in Romania using the Standardized Precipitation Index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1483-1498, April.
  • Handle: RePEc:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-015-2141-8
    DOI: 10.1007/s11069-015-2141-8
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    References listed on IDEAS

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    1. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    2. Alexandru Dumitrescu & Marius-Victor Birsan, 2015. "ROCADA: a gridded daily climatic dataset over Romania (1961–2013) for nine meteorological variables," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 1045-1063, September.
    3. Desalegn Edossa & Mukand Babel & Ashim Das Gupta, 2010. "Drought Analysis in the Awash River Basin, Ethiopia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1441-1460, May.
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    Cited by:

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    2. Ionel Muntele & Marinela Istrate & Raluca Ioana Horea-Șerban & Alexandru Banica, 2021. "Demographic Resilience in the Rural Area of Romania. A Statistical-Territorial Approach of the Last Hundred Years," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
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    4. Nazla Bushra & Robert V. Rohli & Nina S. N. Lam & Lei Zou & Rubayet Bin Mostafiz & Volodymyr Mihunov, 2019. "The relationship between the Normalized Difference Vegetation Index and drought indices in the South Central United States," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(2), pages 791-808, March.
    5. Chaitanya B. Pande & N. L. Kushwaha & Israel R. Orimoloye & Rohitashw Kumar & Hazem Ghassan Abdo & Abebe Debele Tolche & Ahmed Elbeltagi, 2023. "Comparative Assessment of Improved SVM Method under Different Kernel Functions for Predicting Multi-scale Drought Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1367-1399, February.
    6. Wei Pei & Qiang Fu & Dong Liu & Tianxiao Li & Kun Cheng & Song Cui, 2019. "A Novel Method for Agricultural Drought Risk Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2033-2047, April.
    7. Fengjie Gao & Si Zhang & Rui Yu & Yafang Zhao & Yuxin Chen & Ying Zhang, 2023. "Agricultural Drought Risk Assessment Based on a Comprehensive Model Using Geospatial Techniques in Songnen Plain, China," Land, MDPI, vol. 12(6), pages 1-19, June.

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