Experimental studies on Vaccinium myrtillus and Vaccinium vitis-idaea in relation to air pollution and global change at northern high latitudes: A review

2013 ◽  
Vol 87 ◽  
pp. 191-196 ◽  
Author(s):  
K. Taulavuori ◽  
K. Laine ◽  
E. Taulavuori
2001 ◽  
Vol 22 (3) ◽  
pp. 132-140 ◽  
Author(s):  
J. B. Kandpal ◽  
R. C. Maheshwari ◽  
T. C. Kandpal

1995 ◽  
pp. 351-361
Author(s):  
C. W. Slaughter ◽  
V. Y. E. Glotov ◽  
L. A. Viereck ◽  
V. M. Mikhailov

2019 ◽  
Vol 9 (8) ◽  
pp. 1610
Author(s):  
Goksu Tuysuzoglu ◽  
Derya Birant ◽  
Aysegul Pala

Air pollution, which is the result of the urbanization brought by modern life, has a dramatic impact on the global scale as well as local and regional scales. Since air pollution has important effects on human health and other living things, the issue of air quality is of great importance all over the world. Accordingly, many studies based on classification, clustering and association rule mining applications for air pollution have been proposed in the field of data mining and machine learning to extract hidden knowledge from environmental parameters. One approach is to model a region in a way that cities having similar characteristics are determined and placed into the same clusters. Instead of using traditional clustering algorithms, a novel algorithm, named Majority Voting based Multi-Task Clustering (MV-MTC), is proposed and utilized to consider multiple air pollutants jointly. Experimental studies showed that the proposed method is superior to five well-known clustering algorithms: K-Means, Expectation Maximization, Canopy, Farthest First and Hierarchical clustering methods.


1995 ◽  
Vol 82 (1-2) ◽  
pp. 351-361 ◽  
Author(s):  
C. W. Slaughter ◽  
V. Y. E. Glotov ◽  
L. A. Viereck ◽  
V. M. Mikhailov

1997 ◽  
Vol 113 (1-3) ◽  
pp. 69-74 ◽  
Author(s):  
H. Behrendt ◽  
W.M. Becker ◽  
C. Fritzsche ◽  
W. Sliwa-Tomczok ◽  
J. Tomczok ◽  
...  

Author(s):  
Maria-Viola Martikainen ◽  
Päivi Aakko-Saksa ◽  
Lenie van den Broek ◽  
Flemming R. Cassee ◽  
Roxana O. Carare ◽  
...  

The adverse effects of air pollutants on the respiratory and cardiovascular systems are unquestionable. However, in recent years, indications of effects beyond these organ systems have become more evident. Traffic-related air pollution has been linked with neurological diseases, exacerbated cognitive dysfunction, and Alzheimer’s disease. However, the exact air pollutant compositions and exposure scenarios leading to these adverse health effects are not known. Although several components of air pollution may be at play, recent experimental studies point to a key role of ultrafine particles (UFPs). While the importance of UFPs has been recognized, almost nothing is known about the smallest fraction of UFPs, and only >23 nm emissions are regulated in the EU. Moreover, the role of the semivolatile fraction of the emissions has been neglected. The Transport-Derived Ultrafines and the Brain Effects (TUBE) project will increase knowledge on harmful ultrafine air pollutants, as well as semivolatile compounds related to adverse health effects. By including all the major current combustion and emission control technologies, the TUBE project aims to provide new information on the adverse health effects of current traffic, as well as information for decision makers to develop more effective emission legislation. Most importantly, the TUBE project will include adverse health effects beyond the respiratory system; TUBE will assess how air pollution affects the brain and how air pollution particles might be removed from the brain. The purpose of this report is to describe the TUBE project, its background, and its goals.


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