Tools for agricultural drought detection in the frame of Drought Management Centre for Southeastern Europe – DMCSEE

Authors

  • Andreja SUŠNIK Slovenian Environment Agency, Vojkova 1b, 1000 Ljubljana, Slovenia
  • Ajda VALHER Drought Management Centre for Southeastern Europe, Slovenia
  • Gregor GREGORIČ Slovenian Environment Agency, Vojkova 1b, 1000 Ljubljana, Slovenia
  • Marko TROŠT Drought Management Centre for Southeastern Europe, Slovenia

DOI:

https://doi.org/10.14720/aas.2012.99.2.14512

Keywords:

drought, crop water balance, WinISAREG model, Standardized Precipitation Index, Net Irrigation Requirements, climate variability

Abstract

Numerous specialized indices have been proposed to assess drought severity, but the precise quantification of drought is a difficult challenge. The purpose of this paper is to evaluate two indices: the well known Standardized Precipitation Index (SPI) and the Net Irrigation Requirements (NIR) derived by WinISAREG model. WinISAREG water balance model is tested in the frame of working activities of Drought Management Centre for Southeastern Europe (DMCSEE). The drought assessment for areas with different climatic characteristics in Slovenia is achieved using both indices for maize crop in the period from 1961 to 2010. A simple water balance was used for the comparison with the both indices.

Results of the indices were compared with information about drought available in the agrometeorological reports of the Environmental Agency of the Republic of Slovenia for analysed time period. For the comparison among indices qualitative analysis for the vegetation season (April-September) was performed. For this reason 1-month and 6-month Standardized Precipitation Index were used. Soil type with low soil water holding capacity was chosen for the study.

Seasonal NIR generally responds in a similar fashion to the 6-month Standardized Precipitation Index. With both indices extremely dry periods were validated by agrometeorological reports. There are some years with drought which are only confirmed by NIR and not confirmed by SPI6. SPI6 performs relatively well as indicator of long-term meteorological droughts caused by the lack of precipitation while NIR identifies also long-term agricultural droughts provoked by high evapotranspiration triggered by temperature stress. Study showed that at all locations NIR in the last ten years (2001-2010) increased on soils with low water holding capacity. NIR could be proposed as indicator for agricultural drought detection in the frame of DMCSEE.

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Published

26. 10. 2012

Issue

Section

Original Scientific Article

How to Cite

SUŠNIK, A., VALHER, A., GREGORIČ, G., & TROŠT, M. (2012). Tools for agricultural drought detection in the frame of Drought Management Centre for Southeastern Europe – DMCSEE. Acta Agriculturae Slovenica, 99(2), 235–253. https://doi.org/10.14720/aas.2012.99.2.14512

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