Drought forecasting: A review of modelling approaches 2007–2017

KF Fung, YF Huang, CH Koo… - Journal of Water and …, 2020 - iwaponline.com
Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

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 …

[HTML][HTML] Advancements in daily precipitation forecasting: a deep dive into daily precipitation forecasting hybrid methods in the tropical climate of Thailand

M Waqas, UW Humphries, PT Hlaing… - MethodsX, 2024 - Elsevier
Climate change and increasing water demands underscore the importance of water
resource management. Precise precipitation forecasting is critical to effective management …

[PDF][PDF] Observed changes in seasonal drought characteristics and their possible potential drivers over Pakistan

I Ullah, X Ma, J Yin, F Saleem, S Syed… - … journal of climatology, 2022 - researchgate.net
Long-term drought monitoring and its assessment are of great importance for meteorological
disaster risk management. The recurrent spells of heat waves and droughts have severely …

RETRACTED ARTICLE: Drought prediction based on SPI and SPEI with varying timescales using LSTM recurrent neural network

S Poornima, M Pushpalatha - Soft Computing, 2019 - Springer
Over years, natural calamities like drought have taken a huge toll on human life and
resources. As the prediction methods increase, the effects of natural calamities can be …

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 …

On the plane receding contact between two functionally graded layers using computational, finite element and artificial neural network methods

E Öner, B Şengül Şabano… - ZAMM‐Journal of …, 2022 - Wiley Online Library
The frictionless double receding contact problem for two functionally graded (FG) layers
pressed by a uniformly distributed load is addressed in this paper. The gradation in the …

Progress and perspectives on iron-based electrode materials for alkali metal-ion batteries: a critical review

J Li, C Wang, R Wang, C Zhang, G Li… - Chemical Society …, 2024 - pubs.rsc.org
Iron-based materials with significant physicochemical properties, including high theoretical
capacity, low cost and mechanical and thermal stability, have attracted research attention as …

Short-term hydrological drought forecasting based on different nature-inspired optimization algorithms hybridized with artificial neural networks

N Nabipour, M Dehghani, A Mosavi… - IEEe …, 2020 - ieeexplore.ieee.org
Hydrological drought forecasting plays a substantial role in water resources management.
Hydrological drought highly affects the water allocation and hydropower generation. In this …

[HTML][HTML] A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean

S Mohammed, A Elbeltagi, B Bashir, K Alsafadi… - … and Electronics in …, 2022 - Elsevier
Drought is a natural hazard which affects ecosystems in the eastern Mediterranean.
However, limited historical data for drought monitoring and forecasting are available in the …