Predicting spatiotemporal changes in flood prone regions using PSO-ML coupling under climate change scenarios.

In addition, the S/L ratio value and ellipse Rotation value of the ellipse in the latter three scenarios have also an increasing trend year by year, which proves that in these three scenarios, the number of flood-prone plots has a clear sign of moving southward, and with the development of time, the overall spatial distribution is more concentrated and stable.

also in 63,971 other papers