Accurate evaporation
prediction is significant for the management of water resources systems.
The advantage of empirical formulas is that they don’t require a lot of
parameters. In this study, evaporation values of meteorological stations
located in Konya Closed Basin and basin-wide evaporation values are predicted
with the developed empirical formulas (DEF). The formula is formed by adding
the mean temperature term to Meyer empirical formula (MEF) and the coefficients
are determined by linear regression analysis. For this purpose, 70% of mean
monthly water vapour pressure in air, relative humidity, wind speed,
temperature and evaporation values of Cihanbeyli, Niğde, Beyşehir, Aksaray and
Karaman meteorological stations located in the basin between 1978 and 2017 were
used for modelling stage and 30% for test stage. The results obtained from the
DEFs were compared with the results obtained from MEF via determination
coefficient. Konya Closed Basin, in where Beyşehir and Salt Lakes are located,
is an important ecological area. Evaporation prediction in the basin, where
severe droughts are experienced, is important for the management of water
resources systems. It was determined that the determination coefficients
obtained from the DEFs were higher than the determination coefficients obtained
from MEF at both the training and the test stages. These results show that the
DEFs gave better results than MEF and they can be used for evaporation
prediction in the places where evaporation values are not measured or contain
missing data.
Accurate evaporation prediction is significant for the management of water resources systems. The advantage of empirical formulas is that they don’t require a lot of parameters. In this study, evaporation values of meteorological stations located in Konya Closed Basin and basin-wide evaporation values are predicted with the developed empirical formulas (DEF). The formula is formed by adding the mean temperature term to Meyer empirical formula (MEF) and the coefficients are determined by linear regression analysis. For this purpose, 70% of mean monthly water vapour pressure in air, relative humidity, wind speed, temperature and evaporation values of Cihanbeyli, Niğde, Beyşehir, Aksaray and Karaman meteorological stations located in the basin between 1978 and 2017 were used for modelling stage and 30% for test stage. The results obtained from the DEFs were compared with the results obtained from MEF via determination coefficient. Konya Closed Basin, in where Beyşehir and Salt Lakes are located, is an important ecological area. Evaporation prediction in the basin, where severe droughts are experienced, is important for the management of water resources systems. It was determined that the determination coefficients obtained from the DEFs were higher than the determination coefficients obtained from MEF at both the training and the test stages. These results show that the DEFs gave better results than MEF and they can be used for evaporation prediction in the places where evaporation values are not measured or contain missing data.
Primary Language | Turkish |
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Subjects | Civil Engineering |
Journal Section | Articles |
Authors | |
Publication Date | June 30, 2018 |
Acceptance Date | July 13, 2018 |
Published in Issue | Year 2018 Volume: 2 Issue: 1 |