Speaker: Olgu Aydin is an instructor in Department of Physical Geography at Ankara University. She is a geological engineer (2002, Ankara University, Turkey) and also has MSc and PhD in Geography (2009, 2014, Ankara University).
Location: CGIS South S050, 1730 Cambridge St., Cambridge, MA
Abstract: Spatial modelling of environmental variables is an indispensable part of environmental studies. To predict environmental variables and to understand its complex structure particularly crucial in developing strategies and plans. Thus, researchers in this field, have tried to find environmental models explaining environmental variables such as climatological characteristics, hydrological processes, ecosystem, and biochemical cycles. Besides many environmental variables, climatological variables, especially precipitation, have an impact on hydrological studies, prediction of flood and drought, prediction of underground and surface water sources, pollution of water sources, and issues related to air pollution. Therefore, a number of spatial interpolation techniques ranging from simple to complex have been proposed predicting precipitation variables. In this study, spatial pattern of annual mean total precipitation of Turkey has been demonstrated with geostatistics methods by using 228 meteorology stations’ data in the period of 1975-2010. In this study we aimed to obtain better prediction model of precipitation and compared various geostatistical methods explaining precipitation phenomenon in Turkey.
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