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 …

Parking prediction in smart cities: A survey

X Xiao, Z Peng, Y Lin, Z Jin, W Shao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …

Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

ZS Khozani, FB Banadkooki, M Ehteram… - Journal of Cleaner …, 2022 - Elsevier
The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …

Integration of geochemical modeling, multivariate analysis, and irrigation indices for assessing groundwater quality in the Al-Jawf Basin, Yemen

MH Al-Mashreki, MH Eid, O Saeed, A Székács, P Szűcs… - Water, 2023 - mdpi.com
Water quality monitoring is crucial in managing water resources and ensuring their safety for
human use and environmental health. In the Al-Jawf Basin, we conducted a study on the …

[HTML][HTML] Application of stable isotopes, mixing models, and K-means cluster analysis to detect recharge and salinity origins in siwa oasis, Egypt

MH Eid, M Eissa, EA Mohamed, HS Ramadan… - Groundwater for …, 2024 - Elsevier
Waterlogging, soil salinization, and groundwater depletion in non-rechargeable aquifers are
among the causes endangering the sustainability of Siwa Oasis. The water resources …

A new multi-objective genetic programming model for meteorological drought forecasting

M Reihanifar, A Danandeh Mehr, R Tur, AT Ahmed… - Water, 2023 - mdpi.com
Drought forecasting is a vital task for sustainable development and water resource
management. Emerging machine learning techniques could be used to develop precise …

Tuning ANN hyperparameters by CPSOCGSA, MPA, and SMA for short-term SPI drought forecasting

MA Alawsi, SL Zubaidi, N Al-Ansari, H Al-Bugharbee… - Atmosphere, 2022 - mdpi.com
Modelling drought is vital to water resources management, particularly in arid areas, to
reduce its effects. Drought severity and frequency are significantly influenced by climate …

基于CEEMD 的LSTM 和ARIMA 模型干旱预测适用性研究——以新疆为例.

丁严, 许德合, 曹连海, 管相荣 - Arid Zone Research …, 2022 - search.ebscohost.com
干旱的频繁发生对农业生产和经济发展造成了不可忽视的危害, 准确预测干旱的发生具有重要的
现实意义. 基于1960—2019 年新疆气象站点的逐日降水量数据, 计算1, 3, 6, 9, 12 个月及24 …

A review on drought index forecasting and their modelling approaches

YX Tan, JL Ng, YF Huang - Archives of Computational Methods in …, 2023 - Springer
Drought being one of the costliest natural hazards and its adverse impacts towards the
agricultural and socioeconomic sectors has gained concerns among the researchers …

Biomass price prediction based on the example of Poland

A Górna, M Wieruszewski, A Szabelska-Beręsewicz… - Forests, 2022 - mdpi.com
The aim of the study was to test the applicability of forecasting in the analysis of the
variability of prices and supply of wood in Poland. It relies on the autoregressive integrated …