| Literature DB >> 28249759 |
Alina Barbulescu1, Lucica Barbes2.
Abstract
Modeling the evolution of pollutants' concentration is important for predicting their impact on the human health and implementing measures for a sustainable development and environmental protection. Since the carbon dioxide (CO) is one of the main pollutants that affect the urban environment, the present study aimed at building a model for the evolution of the mean daily and monthly concentration in Timisoara, Romania. We found a non-linear direct dependence of CO concentration on the temperature and humidity and an inverse proportional relationship with the wind speed. The models have been linearized and validated by statistical tests. The extreme values distributions have also been detected, and comparisons of the data with the admissible values are provided.Entities:
Keywords: Carbon dioxide; Environmental impact; Modeling; Statistical analysis
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Year: 2017 PMID: 28249759 DOI: 10.1016/j.jenvman.2017.02.047
Source DB: PubMed Journal: J Environ Manage ISSN: 0301-4797 Impact factor: 6.789