SciELO - Scientific Electronic Library Online

 
vol.25 número1Evaluation of long-term NDVI time series derived from Landsat data through blending with MODIS dataSeasonal and annual regional drought prediction by using data-mining approach índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Atmósfera

versión impresa ISSN 0187-6236

Resumen

TAGHI SATTARI, M.; ANLI, A. S.; APAYDIN, H.  y  KODAL, S.. Decision trees to determine the possible drought periods in Ankara. Atmósfera [online]. 2012, vol.25, n.1, pp.65-83. ISSN 0187-6236.

Global climate change causes a decrease of precipitation in Turkey, as in many other parts of the world. As a result, droughts have now occurred over a larger area and in a more drastic way than in the past. Determining the factors in the formation and early prediction of drought will allow required measures of prevention to be taken in time. The present study evaluates drought conditions on monthly and yearly bases, with the measurements of precipitation, wind, humidity and temperature taken in the Ankara region between 1926 and 2006 using the techniques of decision trees. The obtained results demonstrated that the province of Ankara has a generally normal and near-normal arid climate and that the precipitation amounts in all months and precipitation and wind in January, should be taken into consideration to determine such aridity.

Palabras llave : Standardized precipitation index; clustering; C5.0 algorithm; water shortage; time series; drought modeling; risk assessment.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons