Public Concern About Microplastics
This research examines public concern about microplastics in Germany and Italy, focusing on awareness, knowledge, and behavioral intentions.
Public Concern About Microplastics Read More »
This research examines public concern about microplastics in Germany and Italy, focusing on awareness, knowledge, and behavioral intentions.
Public Concern About Microplastics Read More »
Researchers developed a benchmark to quantify pollutant re-entry through ventilation, aiding risk management in occupational settings.
Pollutant Re-Entry via Ventilation Read More »
Researchers at the University of Palermo have devised a method to utilize microplastics from polypropylene pasta bags for removing pharmaceutical contaminants from water.
Microplastics: A Sustainable Solution for Water Purification Read More »
This study introduces a Critical-State Hydrodynamic Model (CSHM) that captures the complex solid-fluid phase transition of clay.
Clay’s Phase Transition in Geohazards Read More »
This study investigates how hydrodynamic conditions influence microplastic bioaccumulation in fish, highlighting the role of water flow in increasing toxicity.
Microplastic Bioaccumulation in Fish Read More »
Researchers unveil hydrodynamic mechanisms preserving ferromanganese crusts in the West Rio Grande Rise, crucial for future exploitation.
Ferromanganese Crust Preservation Read More »
This study presents a rapid flood impact assessment framework using Sentinel-1 SAR data and Google Earth Engine, enhancing disaster response capabilities.
SAR Flood Impact Assessment for Agriculture Read More »
A new machine learning framework enhances urban flood forecasting by combining high-fidelity models with sparse sensor data.
Urban Flood Forecasting Read More »
This study introduces a socio-hydrological model that examines the interaction between agriculture and demography amid recurrent monsoon flooding in the Lower Brahmaputra River Basin.
Socio-Hydrological Model for Flood Resilience Read More »
Researchers optimize LSTM models for street-scale flood prediction in Norfolk, Virginia, exploring data grouping and model scalability.
LSTM Models for Flood Prediction Read More »