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NN-AirPol: a neural-networks-based method for air pollution evaluation and control
(2011-06-14)
A method for air pollution evaluation and control, based on one of the most popular neural networks – the backpropagation algorithm, is proposed. After the backpropagation training, the neural network, based on weather ...
Spatio-temporal co-occurrence of hotspots of tuberculosis, poverty and air pollution in Lima, Peru
(BioMed Central, 2020)
Growing evidence suggests pollution and other environmental factors have a role in the development of tuberculosis (TB), however, such studies have never been conducted in Peru. Considering the association between air ...
Air pollution: Health effects
(Asociación Costarricense de Medicina Forense, 2020)
Air pollution data in COVID-19 time: A call for improving availability and accessibility
(International Society of Global Health, 2022)
Volatile and Semivolatile Organic Compounds Determination in Air
(Elsevier, 2016)
The Quality of Air discusses the topic from both the environmental and human health points-of-view. As today´s policymakers, academic, government, industrial researchers, and the general public are all concerned about air ...
Air pollution dispersion inside a street canyon of Göttinger Strasse (Hannover, Germany): New results of the analysis of full scale data
(Inderscience Enterprises, 2010-01)
This study analyses the interactions between pollutant concentrations inside a street canyon, and wind and traffic dispersive air motions. Air pollutant concentrations, meteorological parameters and traffic flow continuously ...
Use of tipuana tipu tree barks in active biomonitoring of atmospheric pollutants
(Associa????o Brasileira de Energia Nuclear, 2021)