Transportation Ecology

Ecological and Economical Aspects of Biodiesel Use

Study

Using current technical literature as basis for argumentation, the study demonstrates the advantages and disadvantages of the use of rapeseed methyl ester (RME, biodiesel) in comparison to conventional diesel fuel. The study places special importance on economic and ecological effects as well as on technological characteristics.

Model-Based Screening of Environmental Data

Analysis of Traffic-Related Immissions

The measuring stations of the air monitoring network continuously record all major air pollutants, thus ensuring compliance with the air quality parameters set by the EU. The PM10 immission load is influenced by climate factors in particular. In order to allow a more detailed immission analysis, the Fraunhofer IVI develops model-based evaluation methods for the acquired data material.

Evaluation of Immission Data Sets from Automated Measuring Stations in Baden-Wurttemberg on the Basis of Screening Functions

At the Locations Kenzingen, Holzhausen, Nimburg

Traffic and immission data recorded on the Autobahn A5 over two years were evaluated in this study using methods of data screening. This statistical evaluation approach is based on the so-called Principal Component Analysis and had not been applied in the field of immission data before. 

Statistical Source Group Analysis of the PM10 pollution in Metropolitan Areas of Saxony

Correlation of Meteorological Factors and PM10 Concentration

The data analyses executed in the study are based primarily on specific screening functions that are able to extract and analyze information and correlations from large sets of data. For the source group analysis, the so-called »Blind Signal Separation Method« – a relatively new approach from signal theory – was applied.

PM10 Prognosis Model

Data Screening and Emission Prognosis

Keeping the air clean is a task of special public interest. Communities are required to take appropriate measures in order to comply with european air quality standards. However, they often lack the objective criteria and expert knowledge which enable them to evaluate and order air quality improvement measures. The methods developed at the Fraunhofer IVI offer support in this area.

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