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Application of novel binary optimized machine learning models for monthly streamflow prediction
Accurate measurements of available water resources play a key role in achieving a
sustainable environment of a society. Precise river flow estimation is an essential task for …
sustainable environment of a society. Precise river flow estimation is an essential task for …
Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
Standardized precipitation index prediction and monitoring are essential to mitigating the
effect of drought actions on precision farming, environments, climate-smart agriculture, and …
effect of drought actions on precision farming, environments, climate-smart agriculture, and …
A review on drought index forecasting and their modelling approaches
Drought being one of the costliest natural hazards and its adverse impacts towards the
agricultural and socioeconomic sectors has gained concerns among the researchers …
agricultural and socioeconomic sectors has gained concerns among the researchers …
Spatio-temporal distribution and prediction of agricultural and meteorological drought in a Mediterranean coastal watershed via GIS and machine learning
Drought is a complex and devastating natural disaster that needs to be constantly
investigated. In this study, standardized precipitation indexes (SPI-3 and SPI-6) were …
investigated. In this study, standardized precipitation indexes (SPI-3 and SPI-6) were …
Reliability and safety assessment of submarine pipeline stopper based on Fuzzy Comprehensive Dynamic Bayesian Network
J Wen, L Zhang, Z Guo, W Tang, S Shang, M Liu… - Ocean …, 2024 - Elsevier
The submarine pipeline stopper is an emergency device that can quickly seal damaged
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
[HTML][HTML] Machine learning algorithms for the prediction of drought conditions in the Wami River sub-catchment, Tanzania
Study region This study refers to the Wami river sub-catchments in Eastern Tanzania. Study
Focus The five-machine learning (ML) algorithms, including long short-term memory (LSTM) …
Focus The five-machine learning (ML) algorithms, including long short-term memory (LSTM) …
Climate change and hydropower resilience in Nepal: an integrated modeling approach in the Madi River Basin
Responding to Nepal's hydropower sector's vulnerability to climate change, this study
investigates its impact on energy security, focusing on the Madi River Basin's river systems …
investigates its impact on energy security, focusing on the Madi River Basin's river systems …
[HTML][HTML] Estimating the standardized precipitation evapotranspiration index using data-driven techniques: A regional study of Bangladesh
Drought prediction is the most effective way to mitigate drought impacts. The current study
examined the ability of three renowned machine learning models, namely additive …
examined the ability of three renowned machine learning models, namely additive …
An innovative hybrid W-EEMD-ARIMA model for drought forecasting using the standardized precipitation index
Drought, a critical consequence of water scarcity and climate change, profoundly impacts
human life. This study introduces a new W-EEMD-ARIMA hybrid model to forecast drought …
human life. This study introduces a new W-EEMD-ARIMA hybrid model to forecast drought …
[HTML][HTML] Development of a new multivariate composite drought index for the Blue Nile River Basin
Drought is a slow-onset phenomenon that evolves over a season or even years. Drought
affects people more than any other natural disaster due to its widespread and significant …
affects people more than any other natural disaster due to its widespread and significant …