River hydromorphology has long been subjected to huge anthropogenic pressures with
severe negative impacts on related ecosystems' functioning and water quality. Therefore …

This study reviews the existing erosion and sediment transport models developed at
hillslope and watershed scales. The method followed in this review is to summarize the …

Reliable water quality prediction can improve environmental flow monitoring and the
sustainability of the stream ecosystem. In this study, we compared two machine learning …

This revised and updated edition continues to provide a comprehensive introduction to the
subject, exploring the world's landforms from a broad systems perspective. It covers the …

Improving the interpretability of geospatial artificial intelligence (GeoAI) models has become
critically important to open the 'black box'of complex AI models, such as deep learning. This …

The third edition of Fundamentals of Hydrology provides an absorbing and comprehensive
introduction to the understanding of how fresh water moves on and around the planet and …

Over the past decade, the rate of drug attrition due to clinical trial failures has risen
substantially. Unfortunately it is difficult to identify compounds that have unfavorable toxicity …

We propose a conceptual model of vegetation–hydrogeomorphology interactions and
feedbacks within river corridors (ie river channels and their floodplains) that builds on …

The second edition of this well established book provides a readable and highly illustrated
overview of the main facets of geology for engineers. Comprehensively updated, and with …

This study is concerned with flood risk that can be assessed by integrating GIS, hydraulic
modelling and required field information. A critical point in flood risk assessment is that while …