Assessing the performance of single and multi-criteria calibration approaches for hydrological modelling: a comparative analysis
Accurate hydrological modelling is crucial for understanding natural processes and managing water resources. However, simulation accuracy depends on the availability of field observations for calibration and validation. It is therefore critical to develop effective calibration strategies to reduce prediction uncertainties. This study applies the DREAM model to the experimental basin ...
Co-creating water knowledge: a community perspective
Navigating the complexities of global and local water resources challenges requires collaboration and mutual learning among diverse knowledge systems and disciplines. However, Western philosophical approaches to generating knowledge have prevailed in water management and hydrology, often overlooking community priorities, practices and perspectives, and power asymmetries - including gender inequalities, racism, ...
Mapping flood susceptibility using Random Forest exploiting satellite observations and geomorphic features
Flood events are among the most destructive natural hazards, requiring comprehensive risk management strategies to mitigate their impact on society and the environment. This study uses the potential of the Random Forest (RF) model to assess the flood susceptibility in Italy, evaluating 26 potential flood conditioning factors (FCF). A holistic ...
A framework for selecting Nature-based Solutions: applications and challenges at the catchment scale
Nature-based Solutions (NbS) aim to address natural and anthropogenic risks, enhancing ecosystem-based approaches, biodiversity, human health, and socio-economic growth. Despite the growing interest in NbS applications, their integration into landscape planning at the catchment scale remains limited, given the multi-disciplinary comprehensive features related to them. To overcome this shortcoming, this ...
Geomorphic Flood Index 2.0: Enhanced Tools for Delineating Flood-Prone Areas in Data-Scarce Regions
In recent years, significant advancements in geomorphic methods have provided a valuable and cost-effective alternative for large-scale flood mapping. The Geomorphic Flood Index (GFI) is one such method that has gained widespread adoption for flood delineation applications. The development of the GFI plug-in for QGIS has helped to disseminate this ...
Image processing for continuous river turbidity monitoring – full-scale tests and potential applications
The development of continuous river turbidity monitoring systems is essential, since it is a critical water quality metric linked to the presence of organic and inorganic suspended matter. Current monitoring practices are mainly limited by low spatial and temporal resolution, and costs. This results in the huge challenge to provide ...
Evaluating Ssims-Flow Velocimetry Performances Under Varying Seeding Densities: A Proof-of-Concept Field Study
Image velocimetry techniques are emerging as a powerful tool for river monitoring, offering the ability to quantify surface flow dynamics while overcoming the structural limitations of traditional monitoring systems. However, their performances remain highly sensitive to the environmental conditions – such as lighting, shadows, seeding density and distribution. One of ...
Empirical approaches to estimate rainfall erosivity from coarse temporal resolution precipitation data in the Mediterranean region
The assessment of rainfall erosivity is often hindered by the limited availability of high-resolution rainfall data. A large dataset, comprising 10-minute rainfall data collected over the last two decades from 335 rain gauges across three regions of southern Italy, was utilized in this study to estimate benchmark values of mean ...