|
|
|
Elena Pagano and Enrico Barbierato
Air pollution is a paramount issue, influenced by a combination of natural and anthropogenic sources, various diffusion modes, and profound repercussions for the environment and human health. Herein, the power of time series data becomes evident, as it p...
ver más
|
|
|
|
|
|
Elena S. Izhitskaya, Alexander V. Egorov and Peter O. Zavialov
The variability of the dissolved methane content in coastal zones is an important component of the biogeochemical cycle in the marine ecosystem. The objective of this study is to investigate the seasonal variability of dissolved methane distribution in t...
ver más
|
|
|
|
|
|
Carla Labarthe, Bruno Castelle, Vincent Marieu, Thierry Garlan and Stéphane Bujan
Beach slope is a critical parameter to, e.g., beach safety, wave reflection at the coast and longshore transport rate. However, it is usually considered as a time-invariant and profile-average parameter. Here, we apply a state-of-the-art equilibrium mode...
ver más
|
|
|
|
|
|
Ana Picado, Humberto Pereira, Magda C. Sousa and João Miguel Dias
A large number of estuarine systems provide favorable conditions for aquaculture, including high nutrient content, sheltered waters, and favorable water temperatures. In this context, the main objective of this work is to identify the most suitable areas...
ver más
|
|
|
|
|
|
Vadim Kramar and Vasiliy Alchakov
The models for forecasting time series with seasonal variability can be used to build automatic real-time control systems. For example, predicting the water flowing in a wastewater treatment plant can be used to calculate the optimal electricity consumpt...
ver más
|
|
|