[HTML][HTML] Drought assessment in greece using SPI and ERA5 climate reanalysis data
The present work aims to assess the spatial variability and the trends of the annual rainfall
and meteorological drought in the entire territory of Greece utilising the ERA5 reanalysis …
and meteorological drought in the entire territory of Greece utilising the ERA5 reanalysis …
Drought forecasting: Application of ensemble and advanced machine learning approaches
Depending on the severity and spatial-temporal variability, droughts can have a wide range
of impacts such as crop failure, water shortages, and food insecurity. Accurate and timely …
of impacts such as crop failure, water shortages, and food insecurity. Accurate and timely …
Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin
Droughts are among the most hazardous and costly natural disasters and are hard to
quantify and characterize. Accurate drought forecasting reduces droughts' devastating …
quantify and characterize. Accurate drought forecasting reduces droughts' devastating …
Enhanced hydrological drought prediction in the Gediz Basin: integrating meteorological drought via hybrid wavelet-machine learning-random oversampling models …
ED Taylan - Journal of Water and Climate Change, 2024 - iwaponline.com
In this study, meteorological droughts were used to estimate the potential hydrological
drought that may occur in the Gediz Basin of Turkey. For this purpose, the most effective …
drought that may occur in the Gediz Basin of Turkey. For this purpose, the most effective …
[HTML][HTML] The Assessment of Precipitation and Droughts in the Aegean Region Using Stochastic Time Series and Standardized Precipitation Index
A Tanrıkulu, U Guner, E Bahar - Atmosphere, 2024 - mdpi.com
This study analyzes drought conditions in the Aegean region using monthly precipitation
data from nine stations between 1972 and 2020. The Standardized Precipitation Index (SPI) …
data from nine stations between 1972 and 2020. The Standardized Precipitation Index (SPI) …
[HTML][HTML] Invasive-Weed-Optimization-Based Extreme Learning Machine for Prediction of Lake Water Level Using Major Atmospheric–Oceanic Climate Scenarios
M Can - Sustainability, 2024 - mdpi.com
Fresh water lakes are vulnerable assets that need to be protected against manmade/natural
challenges like climate change and anthropogenesis activities. This study addresses the …
challenges like climate change and anthropogenesis activities. This study addresses the …
A Way to Integrate ML Algorithm with the NN for the Purpose of Crop Production Through Continuous Monitoring
N Varshney, AM Rajeswari, A Pramanik… - 2024 4th …, 2024 - ieeexplore.ieee.org
This check examines the evolution of machine studying (ML) strategies in forecasting
hydrological droughts, focusing at the Standardized Runoff Index (SRI) in the Han River …
hydrological droughts, focusing at the Standardized Runoff Index (SRI) in the Han River …
[PDF][PDF] State-of-the-art bridge pier scour modeling: harnessing the power of XgBoost and Runge Kutta methods
E Gul, E Ikinciogullari - 2023 - researchgate.net
Purpose: The structural integrity of bridges is of paramount concern, given their significant
roles in social, economic, and environmental spheres. Central to this is the investigation of …
roles in social, economic, and environmental spheres. Central to this is the investigation of …