Online coupled mesoscale meteorology atmospheric chemistry models have undergone a
rapid evolution in recent years. Although mainly developed by the air quality modelling …

Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …

Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …

Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …

Based on a comprehensive literature study, the potential variables that can affect the
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …

This paper proposes a new artificial intelligence approach based on neural fuzzy inference
system and metaheuristic optimization for flood susceptibility modeling, namely MONF. In …

Environmental issues and impacts to society will be exacerbated with increased population,
diminishing resources and climate changes. Current models available for weather, climate …

Solar radiation modification (SRM) is increasingly discussed as a tool to reduce or avert
global warming and concomitantly the risk of ice-sheet collapse, as is considered possible …

The second phase of the Air Quality Model Evaluation International Initiative (AQMEII)
brought together sixteen modeling groups from Europe and North America, running eight …

This investigation assessed the efficacy of 10 widely used machine learning algorithms
(MLA) comprising the least absolute shrinkage and selection operator (LASSO), generalized …