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Theoretical and Applied Climatology

, Volume 128, Issue 1–2, pp 1–11 | Cite as

Spatial analysis of climate factors used to determine suitability of greenhouse production in Turkey

  • Bilal CemekEmail author
  • Mustafa Güler
  • Hakan Arslan
Original Paper
  • 362 Downloads

Abstract

This study aimed to identify the most suitable growing periods for greenhouse production in Turkey in order to make valuable contribution to economic viability. Data collected from the meteorological databases of 81 provinces was used to determine periodic climatological requirements of greenhouses in terms of cooling, heating, natural ventilation, and lighting. Spatial distributions of mean daily outside temperatures and greenhouse heating requirements were derived using ordinary co-kriging (OCK) supported by Geographical Information System (GIS). Mean monthly temperatures throughout the country were found to decrease below 12 °C in January, February, March, and December, indicating heating requirements, whereas temperatures in 94.46 % of the country rose above 22 °C in July, indicating cooling requirements. Artificial lighting is not a requirement in Turkey except for November, December, and January. The Mediterranean, Aegean, Marmara, and Black Sea Regions are more advantageous than the Central, East, and Southeast Anatolia Regions in terms of greenhouse production because the Mediterranean and Aegean Regions are more advantageous in terms of heating, and the Black Sea Region is more advantageous in terms of cooling. Results of our study indicated that greenhouse cultivation of winter vegetables is possible in certain areas in the north of the country. Moreover, greenhouses could alternatively be used for drying fruits and vegetables during the summer period which requires uneconomical cooling systems due to high temperatures in the Mediterranean and Southeastern Anatolian Regions.

Keywords

Geographical Information System Kriging Natural Ventilation Cool Requirement Lighting Requirement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 2015

Authors and Affiliations

  1. 1.Department of Agricultural EngineeringOndokuz Mayis UniversitySamsunTurkey
  2. 2.Agrobigen Ltd. Co., Samsun Teknopark, Ondokuz Mayis UniversitySamsunTurkey
  3. 3.Middle Black Sea Development AgencySamsunTurkey

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