Large‐scale river models are being refined over coastal regions to improve the scientific
understanding of coastal processes, hazards and responses to climate change. However …

Optimal fertigation regimes will minimize the leaching of agrochemicals while providing
crops with sufficient nutrition for growth. A comprehensive objective function of optimization …

Recent studies have reported that connected impervious areas–those impervious surfaces
that contribute directly to runoff in a storm network or stream–are a better indicator of …

Predictions of urban runoff are heavily reliant on semi‐distributed models, which simulate
runoff at subcatchment scales. These models often use “effective” model parameters that …

In this article, plenty of wave solutions of the (2+ 1)-dimensional Kadomtsev–Petviashvili–
Benjamin–Bona–Mahony ((2+ 1)-D KP-BBM) model are constructed by employing two …

This study compares the performance of several machine learning algorithms in reproducing
the spatial and temporal outputs of the process-based, hydrological model, ParFlow. CLM …

Abstract Machine learning (ML) has been broadly applied for vadose zone applications in
recent years. This article provides a comprehensive review of such developments. ML …

On dryland hillslopes, vegetation water availability is often subsidized by the redistribution of
rainfall runoff from bare soil (sources) to vegetation patches (sinks). In regions where rainfall …

Efficiently evaluating the risk of urban non-point source pollution (urban-NPS) using only a
few parameters is crucial to its management and control, especially in engineering …

Participatory modeling is a collaborative approach to formalize shared representations of a
problem and, through the joint modeling process, design, and test solutions. This approach …