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    Analysis of SPI as a drought indicator during the maize growing period in the Cukurova Region (Turkey)
    (2022) Rolbiecki, Roman; Yücel, Ali; Koci?cka, Joanna; Atılgan, Atılgan; Markovic, Monica; Liberacki, Daniel
    Abstract: One of the major challenges for agriculture related to climate change is drought. The increasing temperatures and decreasing precipitation in many parts of the world have enhanced the frequency and severity of drought events. Therefore, a detailed analysis is required in order to determine the drought frequency and take the necessary precautions. In this study, the climatic conditions in the agricultural region of Çukurova (Turkey) were analysed. Meteorological data for the three provinces of Adana, Mersin, and Osmaniye were used. The aim was to calculate the Standardized Precipitation Index (SPI) for each of the three provinces analysed, and to use these values to detect drought during the different growth periods of maize. We also investigated whether the SPI values for the last 30 years differ significantly between the provinces. Furthermore, indicators such as the duration, magnitude, severity, recurrence, and drought frequency were also calculated. Using linear regression analysis, we determined whether there were trends in the multi-year data for the total precipitation and mean temperature. In addition, the water deficiency was determined by examining the amount of water required by maize and the adequacy of the precipitation in each development period. As a result, it was found that the Çukurova region is prone to droughts, but they follow a mild course in most cases. However, no statistically significant differences were observed between the SPI values in the three provinces. The calculated average approximate drought recurrences (Tr) and expected intensities (Iave) were Tr ~ 1.036 years and Iave ~ 5.634 mm year?1 in 3 years for Adana, Tr ~ 1.031 years and Iave ~ ?0.312 mm year?1 in 3 years for Mersin, and Tr ~ 1.052 years and Iave ~ ?0.084 mm year?1 in 3 years Osmaniye. The research carried out in this paper confirmed that maize cultivation in the Çukurova region is vulnerable to drought, and adaptation actions should be taken immediately.
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    STATISTICAL ANALYSES AND HYDROMETEOROLOGICAL PARAMETERS OF LONG-YEAR WATER LEVELS AND VOLUMES: EXAMPLE OF LAKE EGIRDIR
    (Latvia University of Life Sciences and Technologies, 2022) Atilgan, Atilgan; Yücel, Ali; Markovi?, Monika
    Global warming, climate change, rapid urbanization and industrialization, population growth, unplanned and random water use considerably affect the lake water level (LWL) and lake water volume (LWV), which is very important since the lakes are clean water sources. For this study, Lake Egirdir, with a tectonic structure and basin area of approximately 3445.6 km2 within the borders of Isparta province, was chosen. In the study, long-year lake water level measurement station values of Lake Egirdir and long-year temperature, precipitation, relative humidity, wind speed values of the Egirdir meteorology station were used as variables. To develop equations between the Egirdir lake water level, volume and hydro-meteorological variables, the best fitted sub-equation models analysis, analysis of variance and multiple regression analyses (MRA) were performed. Their statistical relevance was examined with 5% significance level F, correlation (r) and probability (p) tests. Analysis of variance of each MRA equation developed to determine LWL and LWV estimation values was evaluated. In line with these values, it has been determined that the MLRA equation is more suitable than the Multiple Nonlinear Regression Analysis (MNRA) equation in estimating LWL, and the MNRA equation is much more suitable than the Multiple Linear Regression Analysis (MLRA) equation in estimating LWV. With the help of the equations developed for LWL and LWV estimations, it has been concluded that the Egirdir lake basin water management planning and project design studies within the hydrological cycle can have an idea beforehand. As a result, we think that it is very important to carry out the necessary planning and management studies in advance by revealing the current status of water resources in the future by carrying out these and similar studies. © 2022 Latvia University of Life Sciences and Technologies. All rights reserved.