Machine Learning is beginning to provide state-of-the-art performance in a range of
environmental applications such as streamflow prediction in a hydrologic basin. However …

Rapid advancement in inverse modeling methods have brought into light their susceptibility
to imperfect data. This has made it imperative to obtain more explainable and trustworthy …

In the second quarter of 2021, the companies at the Capuava Petrochemical Complex (CPC,
Santo André, Brazil) carried out a 50-day scheduled shutdown for the maintenance and …

In hydrology, modeling streamflow remains a challenging task due to the limited availability
of basin characteristics information such as soil geology and geomorphology. These …

Ilha Grande Bay is located in Angra dos Reis, Rio de Janeiro State, Brazil. The area is
characterized by different land cover, complex topography and proximity to the Atlantic …

Volatile organic compounds (VOCs) are fundamental in the atmospheric reactions,
producing tropospheric ozone (O3) and secondary organic aerosols (SOA). Among the …

Accidental discharges of radioactive aerosol into the motionless (calm) atmosphere are
examined with aim to quantify ensuing radiological impact on population. This paper offers …

In several hours of a calm meteorological situation, a relatively significant level of
radioactivity may accumulate around the source. When the calm situation expires, a wind …

Personalized prediction of responses for individual entities caused by external drivers is vital
across many disciplines. Recent machine learning (ML) advances have led to new state-of …

Conclusion Designed software offers a powerful tool for probabilistic analysis of
consequences of the worst-case CALM scenario. The main contribution to methodology lies …