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 …

A contemporary review on drought modeling using machine learning approaches

K Sundararajan, L Garg, K Srinivasan… - … in Engineering & …, 2021 - ingentaconnect.com
Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data

RM Adnan, RR Mostafa, HL Dai… - Engineering …, 2023 - Taylor & Francis
This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …

Implementing a novel deep learning technique for rainfall forecasting via climatic variables: An approach via hierarchical clustering analysis

S Fahad, F Su, SU Khan, MR Naeem, K Wei - Science of The Total …, 2023 - Elsevier
Variations in rainfall negatively affect crop productivity and impose severe climatic
conditions in developing regions. Studies that focus on climatic variations such as variability …

Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk

B Zhao, W Zhu, S Hao, M Hua, Q Liao, Y Jing… - Journal of Hazardous …, 2023 - Elsevier
Rapid and accurate prediction of metal bioaccumulation in crops are important for assessing
metal environmental risks. We aimed to incorporate machine learning modeling methods to …

[HTML][HTML] Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

S Samadianfard, S Hashemi, K Kargar, M Izadyar… - Energy Reports, 2020 - Elsevier
Wind power as a renewable source of energy has numerous economic, environmental, and
social benefits. To enhance and control renewable wind power, it is vital to utilize models …

Drought vulnerability and risk assessment in India: sensitivity analysis and comparison of aggregation techniques

V Sahana, A Mondal, P Sreekumar - Journal of Environmental …, 2021 - Elsevier
Long term drought management requires proper assessment and characterization of
drought hazard, vulnerability and risk. This is particularly important for an agriculture …

Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation

S Ha, D Liu, L Mu - Scientific reports, 2021 - nature.com
Accurate long-term streamflow and flood forecasting have always been an important
research direction in hydrology research. Nowadays, climate change, floods, and other …

Pre-and post-dam river water temperature alteration prediction using advanced machine learning models

DK Vishwakarma, R Ali, SA Bhat, A Elbeltagi… - … Science and Pollution …, 2022 - Springer
Dams significantly impact river hydrology by changing the timing, size, and frequency of low
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …

Future changes in water resources, floods and droughts under the joint impact of climate and land-use changes in the Chao Phraya basin, Thailand

S Yang, B Zhao, D Yang, T Wang, Y Yang, T Ma… - Journal of …, 2023 - Elsevier
Global Climate change and local human activities have profoundly affected the regional
hydrological cycle and water resources. It is imperative to explore the potential changes in …