This paper is devoted to the study of pollutant transport model by water in dimension one. The studied extend the
 results obtained ( Roamba, Zabsonré & Zongo, 2017) . However, our does not take into account cold pressure
 term and quadratic friction as (Roamba, which are considered regularizing terms to
 show existence global weak solutions your model. Without...

Pollutant transport due to the turbulent wind flow around buildings is a complex phenomenon which is challenging to reproduce with Computational Fluid Dynamics (CFD). In the present study we use Large-Eddy Simulation (LES) to investigate the turbulent mass transport mechanism in the case of gas dispersion around an isolated cubical building. Close agreement is found between wind-tunnel measurem...

The ESA-funded SEVESEO project aims at developing a decision-making tool that integrates environmental parameters derived from satellite imagery with pollutant transport models in order to support the risk management at Seveso-II industries. The development of the SEVESEO Information System (SEVESEO IS) implies the integration of contaminant transport models that aim at determining the environm...

This paper presents global scenarios of sulphur dioxide (SO(2)), nitrogen oxides (NO(x)), and particulate matter (PM) emissions from road transport through to 2050, taking into account the potential impacts of: (1) the timing of air pollutant emission regulation implementation in developing countries; (2) global CO(2) mitigation policy implementation; and (3) vehicle cost assumptions, on study ...

Despite the significant role of precipitation in the hydrological cycle, few studies have been conducted to evaluate the impacts of the temporal resolution of rainfall inputs on the performance of SWAT (soil and water assessment tool) models in large-sized river basins. In this study, both daily and hourly rainfall observations at 28 rainfall stations were used as inputs to SWAT for daily strea...

The recent developments in pollutant measurement methods and techniques necessitate improvements in modelling approaches. The models used so far have been based on seasonally averaged data, which is insufficient for making short-term predictions. We have improved the existing modelling tools for pollutant transport and dispersion on three levels. We significantly refined the numerical grid; we ...