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Seminar - Statistical Methods in Environmental Science

Seminar Environmetrics

 

Veranstaltung für den Master (7 (T-Modul), 5 (G-Modul), 6 (E-Modul) Credit Points, Prüfungsnummer 6419)

 

Serviceveranstaltung für Masterstudierende der Kultur- bzw. Rechtswissenschaften
Serviceveranstaltung für das Doktorandenprogramm

 

Die Veranstaltung findet im Wintersemester 2013/2014 statt.

 

The subject of environmetrics is the statistical analysis of the environmental processes. Environmetrics has close relationships with many other fields of science like natural sciences, engineering, medicine and economics. As environmental issues become more complex and environmental decision-making strives to be more precise, quantitative analysis becomes more important. New questions are requiring developing of new statistical methods and quantitative techniques to provide answers. The students should get familiar with statistical methods that are used to analyze environmental data and how this methods can be successfully applied to environmental data.The seminar is given in English.

 

Students have to write a seminar paper and make a presentation about it.

 

Schedule of the lectures

Introductory lecture are planned. During these lectures a short overview and basic aspects of every topic will be presented. Moreover, other important information concerning seminar papers and presentations will be mentioned on the introductory lecture.

 

First meeting will take place on October 16th, 2013, 11.00 - 13.00 in AM K12.

 

Afterwards on October 23rd, 30th and on 6th of November from 11.00 till 13.00 o'clock three introductory lectures will be held in AM K12.


 

The binding registration is from 06.11.2013 till 18.11.2013.

 

The deadline of the seminar papers is 20.01.2014.

 

The date of the presentations will be announced later.

 

Suggestions on seminar topics are also possible and could be accepted if they are fitting the orientation of the seminar.

 

Topics

1.      Air pollution indices.

2.      Influence of the air pollution to human health.

3.      Modelling of the air pollution data.

4.      Modelling of the water pollution data.

5.      Modelling of the temperature data.

6.      Wind energy prediction.

7.      Modelling of the global solar radiation.

8.      Spatial modeling of the environmental data.

 

For further information or if you have any questions please contact rabyk@europa-uni.de.

Registration in Hisportal is required.

Literature:

  1. Abdel H. El-Shaarawi and Walter W. Piegorsch: Encyclopedia of Environmetrics. Wiley, Chichester, 2002.
  2. Bruno F. and Cocchi D. (2002). A unified strategy for building simple air quality indices. Environmetrics, 13, 243-261.
  3. Bruno. F. and Cocchi D. (2007). Recovering information from synthetic air quality indexes. Environmetrics, 18, 345-359.
  4. O. Bodnar, M. Cameletti, A. Fassò, and W. Schmid (2008) Comparing air quality in Italy, Germany and Poland using BC indexes. Atmospheric Environment, 42, 8412-8421.
  5. Aitana Lertxundi-Manterola and Marc Saez (2009). Modelling of nitrogen dioxide (NO2) and fine particle matter (PM10) air pollution in the metropolitan areas of Barcelona and Bilbao, Spain. Environmetrics, 20, 477-493.
  6. Johannes Staehelin, Christian Keller, Wernera Stahel, Kurt Schläpfer, Urs Steinemann, Toni Bürgin and Stefan Schneider (1997). Modelling emission of road traffic from a tunnel study. Environmetrics, 8, 219-239.
  7. Francis W. Zwiers and Hans von Storch (2004). On the role of statistics in climate research. International Journal of climatology, 24, 665-680.
  8. Gabriela Beblo and Wolfgang Schmid: Modeling High Frequency Wind Speed Data. January 2011,  Europa-Universität Viadrina: Discussion Papers.
  9. C. A. Glasbey  and D. J. Allcroft (2008) A spatiotemporal auto-regressive moving average model for solar radiation. Journal of the Royal Statistical Society, 57, 343-355.