An Analytical Approach for Job Evaluation in Turkey

Şenol, Mehmet Burak; Dağdeviren, Metin

doi:10.35378/gujs.494558

Cited by 4 publications

(3 citation statements)

References 55 publications

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“…Balibey and Turkyimaz used time series approach to rainfall in Turkey, studied the time-series approach to rainfall in Turkey, one of the world's most climate-changing regions, specifically the Mediterranean and Southeastern Anatolia due to its geographical location (18). In these areas, vegetation cover is affected by these climate changes, and these changes can cause drought, which results in important problems such as reduced agricultural production.…”

Section: Research Articlementioning

confidence: 99%

Predicting rainfall amounts in Nablus city using time series

2023

JJOAS-N

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Background: This research aims to predict the rainfall of the City of Nablus, Palestine, in the years to come to assist in managing water resources in an area where rainfall quantities vary yearly. Box-Jenkins model is used in analyzing the time series, characterized by high prediction accuracy.Methods: The study is based on rainfall data (from the Palestinian Meteorological Department) of the city of Nablus over 51 years, i.e., from 1970 to 2020.Results: It is clear from the study that the best rainwater forecasting model is ARIMA (0,07) because the data from this series are consistent over time. The model gave good predictions that are close to the actual values. However, the results indicated that quantities in the coming years will fluctuate. The fluctuation is consistent with the Mediterranean climate, which suffers from climate changes and variations in rainfall levels. Conclusion:The study recommends using Box and Jenkins models in time series to predict hydrological phenomena. The study recommends using Box and Jenkins models in time series to predict hydrological phenomena.

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Section: Research Articlementioning

confidence: 99%

Predicting rainfall amounts in Nablus city using time series

2023

JJOAS-N

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“…Like temperature, the precipitation data also contained monthly values since 1895. We therefore decided to use another sinusoidal function mentioned in Gazi University Journal of Science that modeled monthly precipitation based on a combination of a sine and cosine function [9]: 𝑃𝑃(𝑥𝑥) = 𝑎𝑎 sin(𝑏𝑏𝑥𝑥) + cos(𝑑𝑑𝑥𝑥) + 𝑒𝑒 + 𝑓𝑓𝑥𝑥 The average monthly precipitation seems to be around 2 inches, with 1.5 -2-inch amplitudes. The negative value of the f parameter indicates that precipitation rates are slowly decreasing over time.…”

Section: Precipitation Forecastingmentioning

confidence: 99%

Analyzing California Climate Change Time Series Data and Its Impact on Crop Production

Hung¹,

Mishra²,

Datta³

et al. 2022

J Stud Res

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Climate change has become an increasingly concerning problem in California over the last years, stemming from lack of precipitation and snowfall as well as constantly rising temperatures. Many aspects of Californian life including water availability and crop production have been negatively impacted by this recent trend. Due to the significance of agriculture on California, the farming com- munity within California and its consumers, including both in-state consumers and those who California exports its produce to, are at risk to be harmed by the negative impacts of climate change. Significant changes to the state’s temperature, precipitation rate, and water consumption and supply all would have the potential to harm crop production and the agricultural industry. Using the data obtained from various sources for each of these factors, we hope to calculate predicted changes in indemnity losses due to crop production over time. By modeling temperature and precipitation as sinusoidal functions and water consumption as a linear relation to temperature, it becomes possible to predict future indemnity losses based on these factor values using polynomial regression. By passing a moving average filter and eliminating the cyclic nature of the loss function, we were able to deduce that average temperature seemed to increase, average precipitation rate seemed to decrease, and average water consumption also increased. The combination of these factors led to a steady increase in predicted indemnity losses within the next 50 years. As water consumption is the only factor that can be changed through human intervention, it is logical for us to base our recommendations off of it. Agricultural water consumption is the main use of water in the state and a transition into more conservative irrigation methods would allow for a reduction in the net water consumption. Over long periods of time, this would decrease water consumption and therefore indemnity losses based on our models.

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“…These systems enhance water use efficiency by preventing transport and evaporation losses, leading to up to 90% improvement with more efficient irrigation methods. [ 3 ] FSPVs offer advantages such as reduced land leveling costs, shorter installation times, and higher electricity generation compared to fixed solar panels. [ 4 ] Moreover, FSPV installed on natural lakes limit the purposes of use such as lake ecosystem, fish farming, tourism, and drinking water.…”

Section: Introductionmentioning

confidence: 99%

Empowering Sustainability: Floating Solar Photovoltaic Systems in Agriculture for Reduced Costs Carbon Emissions and Evaporation

Gümrükçüoğlu Yiğit,

Akçadağ

2024

Global Challenges

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This study assesses the impact of implementing a floating solar photovoltaic system (FSPV) on the Turgutlu irrigation pond in Sakarya, Turkey, aiming to reduce energy expenses in agricultural irrigation and promote sustainability in farming. Two scenarios are developed to evaluate the FSPV, focusing on CO2 emissions mitigation, energy generation potential, evaporation reduction, conservation of terrestrial land, effects on agricultural production, decreased reliance on fossil fuels, and associated costs and return on investment (ROI). In the first scenario, the FSPV is expected to generate 7168 MWh of energy, preventing the emission of 4520 tons of carbon, and reducing annual evaporation by 6686 m3. In the second scenario, the FSPV's energy output is estimated at 99 MWh, preventing 64.2 tons of carbon emissions, and reducing annual evaporation by 94.4 m3. These findings provide valuable insights at the regional level, presenting a compelling case study for potential replication in other irrigated agricultural regions.

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An Analytical Approach for Job Evaluation in Turkey

Cited by 4 publications

References 55 publications

Predicting rainfall amounts in Nablus city using time series

Predicting rainfall amounts in Nablus city using time series

Analyzing California Climate Change Time Series Data and Its Impact on Crop Production

Empowering Sustainability: Floating Solar Photovoltaic Systems in Agriculture for Reduced Costs Carbon Emissions and Evaporation

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