Statistical analysis of meteorological drought in Antalya Basin, Turkey

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Burgan M. H., BURGAN H. İ.

8th International Conference on Meteorology and Climatology of the Mediterranean, Spain, 25 May 2021, pp.25, (Summary Text)

  • Publication Type: Conference Paper / Summary Text
  • Country: Spain
  • Page Numbers: pp.25
  • Open Archive Collection: AVESIS Open Access Collection
  • Akdeniz University Affiliated: Yes

Abstract

Meteorological droughts are observed for short term periods in a year. Because of this phenomena, the estimation of meteorological drought is difficult. For this aim, the magnitude and duration of the drought are assessed with together. If meteorological drought goes on, hydrological and agricultural drought can be triggered. Any measures and management strategies should be taken and developed. Standardized Precipitation Index is widely used to evaluate the meteorological drought especially in monthly scale. Statistical distributions can be used for future projection. In this study, Antalya Basin which has Mediterranean climate is selected for the application. The meteorological gauging stations are used in the basin and near the basin according to Thiessen Polygon method for areal total precipitation. Then, SPI is calculated for each gauging station. The best statistical distribution of SPIs is investigated for the stations. Finally, the spatial scattering of the statistical distributions which is calculated from monthly precipitation data. The gauging stations (each with 10 years of observation at a minimum) have uninterrupted data during the observation. As a result, a very basic statistical methodology is suggested and applied in the study. The study has good results in terms of the performance. So, it is applicable to the basins which have Mediterranean climate. The decision makers and policy makers can assess the meteorological drought results in coastal regions near the Mediterranean Sea located to the South of Turkey. For long term observation, hydrological and agricultural droughts should be observed carefully for the study areas considering meteorological events.