Determining the relationship of evapotranspiration with precipitation and temperature over Turkey

Mustafa Kuzay,Mustafa Tuna,Mustafa Tombul

doi:10.15832/ankutbd.952845

Abstract

Evapotranspiration (ET), which is a combination of the words evaporation and transpiration, is expressed as the sum of water due to water consumption and evaporation in plants. In this study, the NASA Drought Early Warning Systems Network Land Data Assimilation System model (FLDAS NOAH) was used to determine evapotranspiration data for the 2018-2019 water years (October 2017-September 2019) on Turkey. In addition, NASA Global Land Data Assimilation System (GLDAS NOAH) was used for temperature data. Total precipitation data with corrected error rates are taken from MERRA-2 Model M2TMNXFLX. The relationship between the determined monthly total average evapotranspiration values and the monthly average precipitation and monthly average temperature values was determined by ArcGIS. It is important to examine the local evaporation and transpiration conditions in more detail in the regions where water resources planning will be made. The importance of water holding capacity in plants in determining agricultural and hydrological drought can be explained by evapotranspiration.

Highlights

One of the important hydrological processes in the planning of water resources is evaporation
On the basis of the Priestley-Taylor equation combined with the time series and NDVI field, the surface temperature-Normalized Difference Vegetation Index feature area, MODIS (Medium Resolution Imaging Spectroradiometer) products and GLDAS (Global Land Data Assimilation System) were used to determine meteorological data
In addition to long or short-term heavy rains and temperature increases, which are seen as a result of climate change, the sudden change of evapotranspiration can be mentioned

Summary

Introduction

One of the important hydrological processes in the planning of water resources is evaporation. The effects of climate change show with the increase in temperature, and with consequences such as floods, drought, severe floods, increases in ocean and sea levels, increase in acidity in the oceans, which can develop suddenly and have great damage For this reason, a detailed evaluation with a proactive method (long-term measurements, data analysis, trend analysis, spatial data analysis, etc.) is required. On the basis of the Priestley-Taylor equation combined with the time series and NDVI field, the surface temperature-Normalized Difference Vegetation Index feature area, MODIS (Medium Resolution Imaging Spectroradiometer) products and GLDAS (Global Land Data Assimilation System) were used to determine meteorological data. It was calculated using Tekesi River Basin as a pilot area.

Methods

Results

Conclusion