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Toplam kayıt 7, listelenen: 1-7
ESTIMATION OF THE CARBON TO NITROGEN (C:N) RATIO IN COMPOSTABLE SOLID WASTE USING ARTIFICIAL NEURAL NETWORKS
(Parlar Scientific Publications (P S P), 2011)
Organic waste constitutes a majority of all municipal solid waste (MSW), a fact which yields some unfavorable results at open dumps, sanitary landfills, and incineration plants. As part of an integrated solid waste management ...
Innovative polygon trend analyses with star graph for rainfall and temperature data in agricultural regions of Turkey
(Environmental Sciences & Ecology, 2022)
Agriculture is affected by climate change, such as extreme increases or decreases rainfall and temperature patterns. It is possible to research that effect by using trend analysis methodologies. This paper investigates ...
Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey
(Taylor & Francis, 2022)
The issue of detection of hydrometeorological trends remains relevant because of the importance of climate change in design, operation, and management studies related to water resources. This study examines the effects of ...
Reply to discussion of “Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey”*
(Taylor and Francis Ltd., 2023)
In this reply we thank the authors for their comments on our article “Innovative approaches to trend assessment of streamflows in the Eastern Black Sea basin, Turkey.” They stated that the trend slope calculations in our ...
Trend analysis of precipitation using innovative approaches in northwestern Turkey
(Elsevier Ltd, 2023)
Precipitation is highly sensitive to climate change, and monitoring its trends over time is essential for understanding the effects of global warming on the Earth's water cycle. This study investigates the effects of climate ...
Annual Trends of Precipitation and Temperature in the Northwestern Part of Turkey Using Innovative Approaches: A Holistic and Partial Study
(Birkhauser, 2023)
Trend analysis benefits collecting and analyzing reliable data in climate change studies. In this context, long-term temperature and precipitation data analysis, two variables sensitive to climate change, is essential. ...
Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates
(Springer Science and Business Media Deutschland GmbH, 2022)
The impacts of climate change on current and future water resources are important to study local scale. This study aims to investigate the prediction performances of daily precipitation using five regression-based statistical ...