Flood prediction has advanced significantly in terms of technique and capacity to achieve
policymakers' objectives of accurate forecast and identification of flood-prone and impacted …

Under climate change, compound flooding has resulted in severe disasters in coastal areas
around the world. In this study, an integrated framework is proposed to determine the range …

The damage caused by floods is increasing worldwide, and if floods can be predicted, the
economic and human losses from floods can be reduced. A key parameter of flooding is …

Accurate water level prediction is the premise of farmland waterlogging prediction. A simple
water level prediction model (FDPRE) based on four machine learning (ML) algorithms and …

Rainfall-runoff modeling is a complex nonlinear spatiotemporal prediction problem.
However, few studies have considered the spatial characteristics of rainfall-runoff …

Streamflow prediction help the modelers to manage water resources in watersheds. It gives
essential information for flood control and reservoir operation. This study uses the copula …

Baseflow is an important component of river runoff and an important ecological indicator of
environmental health. A quantitative analysis of the impact of climate change and human …

Hydrological ensemble forecasting plays a critical role in decision-making and water
resource management. The skill of an ensemble forecasting system is limited by input data …

Water resource management is critical in the face of climate change to reduce water scarcity
and meet the demands of an expanding population. Prioritization of watersheds has gained …

Water level management is an important part of urban water system management. In flood
season, the river should be controlled to ensure the ecological and landscape water level. In …