[HTML][HTML] Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing

MA Alawsi, SL Zubaidi, NSS Al-Bdairi, N Al-Ansari… - Hydrology, 2022 - mdpi.com
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms

A Malik, Y Tikhamarine, SS Sammen, SI Abba… - … Science and Pollution …, 2021 - Springer
Drought is considered one of the costliest natural disasters that result in water scarcity and
crop damage almost every year. Drought monitoring and forecasting are essential for the …

Drought monitoring and prediction using SPI, SPEI, and random forest model in various climates of Iran

M Lotfirad, H Esmaeili-Gisavandani… - Journal of Water and …, 2022 - iwaponline.com
The aim of this study is to select the best model (combination of different lag times) for
predicting the standardized precipitation index (SPI) and the standardized precipitation and …

Global spatiotemporal consistency between meteorological and soil moisture drought indices

MH Afshar, B Bulut, E Duzenli, M Amjad… - Agricultural and Forest …, 2022 - Elsevier
In this study, the consistency of a set of meteorological and soil moisture drought indices has
been analyzed using the linear relationship between them. Commonly used Standardized …

A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations

SR Sannasi Chakravarthy… - Concurrency and …, 2022 - Wiley Online Library
Globally, the water‐level fluctuations in lakes are a dynamic and complex process. The
fluctuation is characterized by higher non‐linearity and stochasticity, making it quite hard to …

Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey

A Danandeh Mehr, B Vaheddoost - Theoretical and Applied Climatology, 2020 - Springer
This study investigates the main characteristics (duration, severity, and trend) of
meteorological drought events over Ankara Province, Turkey. We used 46 years of observed …

Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting

M Jamei, I Ahmadianfar, M Karbasi, A Malik… - … Applications of Artificial …, 2023 - Elsevier
Drought is a stochastic and recurring hydrological natural hazard that occurs due to a
shortage of precipitation over a period of time. Drought forecasting in water resources …

Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction

A Malik, Y Tikhamarine, D Souag-Gamane… - Meteorology and …, 2021 - Springer
Drought is a complex natural phenomenon, so, precise prediction of drought is an effective
mitigation tool for measuring the negative consequences on agriculture, ecosystems …

River flow rate prediction in the Des Moines watershed (Iowa, USA): A machine learning approach

A Elbeltagi, F Di Nunno, NL Kushwaha… - … Research and Risk …, 2022 - Springer
Prediction of flow rate in rivers is essential for the planning and management of water
resources. This study shows that, based on a Machine Learning approach, accurate models …

Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes

P Aghelpour, H Bahrami-Pichaghchi, O Kisi - Computers and electronics in …, 2020 - Elsevier
Monitoring agricultural drought utilizing the least variables can be useful at the areas with
just rain gauge stations, especially in Iran, which is located in arid belt of the world. In this …