A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …

Abstract Discrete Bayesian Belief Network (BBN) has become a popular method for the
analysis of complex systems in various domains of application. One of its pillar is the …

Data assimilation allows for updating state variables in a model to represent the initial
condition of a catchment more accurately than the initial OpenLoop simulation. In hydrology …

The accurate prediction of storm-driven coastal erosion along sandy coastlines is
fundamental to addressing coastal hazards now and into the future. Here, four storm erosion …

The erosion impact of large coastal storm events typically occurs across broad (100s of km)
sections of coastline and may include significant variability both alongshore and vertically …

Population growth and associated ecological space occupation are posing great risks to
regional ecological security and social stability. In China,“Ecological Conservation …

Prevention of ecological risks in land ecosystems is crucial for environmental protection and
sustainable land use. With increasingly severe land degradation, new and effective methods …

Sandy coastlines typically comprise two key parts: a beach and dune. The beach is the
section of sandy coast that is mostly above water (depending upon tide) and actively …

The dynamics of fecal indicator bacteria, such as fecal coliforms (FC) in streams, are
influenced by the interactions of a myriad of factors. To predict complex spatiotemporal …

Rapid urbanization presents significant challenges to biodiversity through habitat
degradation, fragmentation, and loss. This study focuses on Shenzhen, China, a highly …