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Drought monitoring and forecasting across Turkey: A contemporary review
One of the critical consequences of climate change at both local and regional scales is a
change in the patterns of extreme climate events such as droughts. Focusing on the different …
change in the patterns of extreme climate events such as droughts. Focusing on the different …
Drought monitoring and forecasting across Turkey: A contemporary review
DS Pekpostalci, R Tur, DM Ali… - Sustainability, 2023 - opus.us.edu.pl
One of the critical consequences of climate change at both local and regional scales is a
change in the patterns of extreme climate events such as droughts. Focusing on the different …
change in the patterns of extreme climate events such as droughts. Focusing on the different …
Estimation of SPEI meteorological drought using machine learning algorithms
Accurate estimation of drought events is vital for the mitigation of their adverse
consequences on water resources, agriculture and ecosystems. Machine learning …
consequences on water resources, agriculture and ecosystems. Machine learning …
Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey
H Citakoglu, Ö Coşkun - Environmental Science and Pollution Research, 2022 - Springer
Drought is a harmful natural disaster with various negative effects on many aspects of life. In
this research, short-term meteorological droughts were predicted with hybrid machine …
this research, short-term meteorological droughts were predicted with hybrid machine …
A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
In this research, monthly wind speed time series of the Kirsehir was investigated using the
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
Prediction of combined terrestrial evapotranspiration index (CTEI) over large river basin based on machine learning approaches
Drought is a fundamental physical feature of the climate pattern worldwide. Over the past
few decades, a natural disaster has accelerated its occurrence, which has significantly …
few decades, a natural disaster has accelerated its occurrence, which has significantly …
Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms
Drought, which has become one of the most severe environmental problems worldwide, has
serious impacts on ecological, economic, and socially sustainable development. The …
serious impacts on ecological, economic, and socially sustainable development. The …
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models
Flood routing models are vital in predicting floods and taking all necessary precautions in
the region where floods occur, preventing loss of life and property in the region and …
the region where floods occur, preventing loss of life and property in the region and …
Detection of Turkish fake news in Twitter with machine learning algorithms
Social media has affected people's information sources. Since most of the news on social
media is not verified by a central authority, it may contain fake news for various reasons such …
media is not verified by a central authority, it may contain fake news for various reasons such …
Spatial–temporal pattern and influencing factors of drought impacts on agriculture in China
X Deng, G Wang, H Yan, J Zheng, X Li - Frontiers in environmental …, 2022 - frontiersin.org
Agricultural drought disaster is a major natural disaster affecting economic and social
development. It is of significance to investigate the spatial–temporal pattern and the …
development. It is of significance to investigate the spatial–temporal pattern and the …