Drought monitoring and forecasting across Turkey: A contemporary review

D Soylu Pekpostalci, R Tur, A Danandeh Mehr… - Sustainability, 2023 - mdpi.com
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 …

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 …

Estimation of SPEI meteorological drought using machine learning algorithms

A Mokhtar, M Jalali, H He, N Al-Ansari, A Elbeltagi… - IEEe …, 2021 - ieeexplore.ieee.org
Accurate estimation of drought events is vital for the mitigation of their adverse
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 …

A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment

EE Başakın, Ö Ekmekcioğlu, H Çıtakoğlu… - Neural Computing and …, 2022 - Springer
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 …

Prediction of combined terrestrial evapotranspiration index (CTEI) over large river basin based on machine learning approaches

A Elbeltagi, N Kumari, JK Dharpure, A Mokhtar… - Water, 2021 - mdpi.com
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 …

Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms

F Tufaner, A Özbeyaz - Environmental Monitoring and Assessment, 2020 - Springer
Drought, which has become one of the most severe environmental problems worldwide, has
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

OM Katipoğlu, M Sarıgöl - Stochastic Environmental Research and Risk …, 2023 - Springer
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 …

Detection of Turkish fake news in Twitter with machine learning algorithms

SG Taskin, EU Kucuksille, K Topal - Arabian Journal for Science and …, 2022 - Springer
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 …

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 …