1 “Flood peaks in Mid-Atlantic U.S. watersheds show a V-shaped response to urbanization: they decrease at low urban development (below 10% PDAW), then rise sharply as urbanization increases further due to complex climate-landscape interactions. A neural network model confirmed this nonlinear behavior, underscoring the need to consider more than just urban area when predicting flood risk.”…..Hua et.al.(2025). Click here to know more. 2 “Artificial neural network (ANN) models using climate indices outperformed ARIMA models for long-term streamflow forecasting at six Victorian stations, with the best ANN achieving Pearson R = 0.90, RMSE = 0.04, and MAE = 2.50 for six-month advance prediction. ANN’s superior accuracy highlights its suitability for operational streamflow forecasts in this region.ANN models using lagged climate indices significantly outperformed ARIMA models for forecasting streamflow at Victoria’s stations, especially at Acheron where the ANN achieved Pearson R = 0.90,...
.jpg)
.jpg)