Development and Validation of a Magnetic Method Using Deciduous Tree Leaves to Obtain Spatially-Resolved Air Pollution Measurements in Pittsburgh, PA, USA

2013 ◽  
Vol 2013 (1) ◽  
pp. 4063
Author(s):  
Gillooly Sara ◽  
Leah Cambal ◽  
Joshua Feinberg ◽  
Mike Jackson ◽  
Jessie Carr ◽  
...  
Keyword(s):  
Air Pollution ◽  
Deciduous Tree ◽  
Magnetic Method ◽  
Tree Leaves ◽  
Spatially Resolved ◽  
Development And Validation

Framework for using deciduous tree leaves as biomonitors for intraurban particulate air pollution in exposure assessment

2016 ◽  
Vol 188 (8) ◽  
Author(s):  
Sara E. Gillooly ◽  
Jessie L. Carr Shmool ◽  
Drew R. Michanowicz ◽  
Daniel J. Bain ◽  
Leah K. Cambal ◽  
...  
Keyword(s):  
Air Pollution ◽  
Exposure Assessment ◽  
Deciduous Tree ◽  
Tree Leaves ◽  
Particulate Air Pollution

Biomonitoring of traffic air pollution in Rome using magnetic properties of tree leaves

2003 ◽  
Vol 37 (21) ◽  
pp. 2967-2977 ◽  
Author(s):  
Eva Moreno ◽  
Leonardo Sagnotti ◽  
Jaume Dinarès-Turell ◽  
Aldo Winkler ◽  
Antonio Cascella
Keyword(s):  
Air Pollution ◽  
Magnetic Properties ◽  
Tree Leaves

Comparative Use of Tree Leaves, Needles, Tree Barks and Lichens for Air Pollution Biomonitoring

2005 ◽  
pp. 211 ◽  
Author(s):  
T. El Khoukhi ◽  
R. Cherkaoui El Moursli ◽  
A. Chouak ◽  
Z. Moutia ◽  
M. Lferde ◽  
...  
Keyword(s):  
Air Pollution ◽  
Tree Leaves ◽  
Tree Barks

Evaluating deciduous tree leaves as biomonitors for ambient particulate matter pollution in Pittsburgh, PA, USA

2019 ◽  
Vol 191 (12) ◽  
Author(s):  
Sara E. Gillooly ◽  
Drew R. Michanowicz ◽  
Mike Jackson ◽  
Leah K. Cambal ◽  
Jessie L. C. Shmool ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Deciduous Tree ◽  
Ambient Particulate Matter ◽  
Tree Leaves ◽  
Particulate Matter Pollution

Development and validation of a fully modular platform for numerical modelling of air pollution: POLAIR

2004 ◽  
Vol 22 (1/2) ◽  
pp. 17 ◽  
Author(s):  
Jaouad Boutahar ◽  
Stephanie Lacour ◽  
Vivien Mallet ◽  
Denis Quelo ◽  
Yelva Roustan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Numerical Modelling ◽  
Modular Platform ◽  
Development And Validation

Accurate estimation of nitrogen concentration in deciduous tree leaves in a field study using a portable non-destructive nitrogen detector

2006 ◽  
Vol 163 (6) ◽  
pp. 680-683 ◽  
Author(s):  
Norikazu Eguchi ◽  
Tomoaki Ichie ◽  
Donghun Ji ◽  
Kazuki Karatsu ◽  
Takayoshi Koike
Keyword(s):  
Field Study ◽  
Nitrogen Concentration ◽  
Deciduous Tree ◽  
Accurate Estimation ◽  
Tree Leaves ◽  
Non Destructive

scholarly journals Photoprotection of evergreen and drought-deciduous tree leaves to overcome the dry season in monsoonal tropical dry forests in Thailand

2013 ◽  
Vol 34 (1) ◽  
pp. 15-28 ◽  
Author(s):  
A. Ishida ◽  
J.-Y. Yamazaki ◽  
H. Harayama ◽  
K. Yazaki ◽  
P. Ladpala ◽  
...  
Keyword(s):  
Dry Season ◽  
Tropical Dry Forests ◽  
Deciduous Tree ◽  
Tree Leaves ◽  
Dry Forests

National Trace-Element Air Pollution Monitoring Survey Using Epiphytic Lichens

1991 ◽  
Vol 23 (2) ◽  
pp. 139-165 ◽  
Author(s):  
J. E. Sloof ◽  
H. Th. Wolterbeek
Keyword(s):  
Air Pollution ◽  
Trace Element ◽  
Dispersion Model ◽  
Pollution Monitoring ◽  
Deciduous Tree ◽  
Data Sets ◽  
Air Pollution Monitoring ◽  
Geographical Concentration ◽  
National Monitoring ◽  
Concentration Patterns

AbstractTwo national monitoring surveys were carried out within 5 years, using Parmelia sulcata as a biomonitor of trace-element air pollution. The method of sampling was standardized. The lichen samples were analysed by neutron activation analysis. Local variations in element concentrations in lichens from various deciduous tree species from several sampling sites were established. The geographical concentration patterns obtained from the lichen data sets agreed with the element concentration gradients obtained from one dispersion model and measured data of atmospheric concentrations and deposition. Comparison of the two lichen data sets showed the relationship of the geographical concentration patterns with time. Combination of the available data gave insight into the possibility of localization of pollution sources.

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