Fly ash impact in forest ecosystems in Northeastern Germany – an assessment and regionalization approach

The presented doctoral thesis “Fly ash impact in forest ecosystems in Northeastern Germany - an assessment and regionalization approach” intends to (a) test if the field assessment of ferrimagnetic susceptibility can be used as cost efficient method to get information on fly ash deposition impacted chemical site properties. (b) develop a regionalization approach to bridge the gap from plot-wise assessed data to spatial management information. The thesis is a follow-up of extensive research activities by the Institute for Soil Science and Site Ecology on industrial deposition in Dübener Heide and Upper Lusatian region which started in the early 1960ies and were intensified from the middle of the 1990ies on. A central topic of these research activities was the assessment of the impact of fly ash deposition on chemical soil properties. A major challenge was to transfer the assessed chemical characteristics from plot to region and to aggregate the measured values to provide an information basis, which can be used for a site potential and risk oriented forest management. This challenge was picked up by the joint research project “ENFORCHANGE” (FKZ 0330634 K, German Federal Ministry of Education and Research). The presented thesis was carried out in the frame of this project during the period 2005 - 2009. The thesis was conceived as cumulative work, which includes ten papers in total. Five articles are published in peer-reviewed journals (ISI listed, 1 paper still in revision), and five are part of books or conference proceedings. • Chapter 1 “Introduction” gives an overview on the motivation, idea and structure of the thesis. • In chapter 2 “Aims and Scope of the presented work” information on the background and frame of the study within the project ENFORCHANGE is given. • Chapter 3 “Background and State of the Art” deals with the history of fly ash deposition in the model region Dübener Heide. • Chapter 4 “Material and Methods” gives information on fly ash and presents the spatial assessment design and the hereon based approaches for up-scaling and correlation of magnetic susceptibility with selected chemical characteristics. • Chapter 5 “Results” presents results of the spatial modeling and linear regression based approach to use ferrimagnetic susceptibility for predicting the contents of selected base cations, selected acid and heavy metal cations and Black Carbon. • Chapter 6 “Discussion and Conclusions” compares the assumptions and findings in the different articles, discusses contradictory findings and open questions and provides a comprehensive evaluation of the outcomes. Final conclusions are drawn and an outlook is given. A key finding of the thesis is that the industrial complex Bitterfeld was the most important source of fly ash deposited in the model region Dübener Heide. The power plant Zschornewitz plays only a minor role contrary to the research hypothesis formulated in ENFORCHANGE. Related to the targets of the thesis, spatial variation of magnetic susceptibility was predicted with high precision by a multiple linear regression model. A slightly differing set of model parameters  according to their explanatory value for three selected depth levels  improved the prediction quality. The selection of the parameters supported understanding the major drivers for magnetic particle deposition, storage, and vertical displacement in the forest soils. Humus layer (depth level 6-10 cm), horizontal distance to Bitterfeld and soil type (Podzol, semi-terrestrial sites) were the most important variables. These variables point to a slowed-down humus dynamic, which causes the accumulation of fly ash in the humus layer. In depth level 11 – 15 cm, variables such as “aspect” gain in importance, which describe the exposure against the major wind direction and thus indicate the probability and of deposition. For the mineral horizon (depth level 21-25 cm), exposition and especially stand properties are most important. The latter gives evidence for the intensity of deposition caused by surface roughness. Therefore, the variables “coniferous” and “mixed” stands were highly relevant for the model. Variable correlations between mass susceptibility and selected base cations, acid cations and heavy metals have been found. When using a linear regression model, a prediction of Ca and Mg and of Mn was possible. The model performance was lower for Fe, Al, Cd and Black Carbon. A possible reason was the use of different plot types: the assessment of magnetic susceptibility and chemical soil properties was well harmonized at the ENFORCHANGE plots considering the sampling material and sampling location. A comparable harmonization could not be achieved at a number of monitoring plots, which were included into the analysis to broaden the data base. Comparing the results from the linear regression model based prediction with the results achieved by multiple regression based spatial modeling lead to the conclusion that the mul¬tiple regression approach is more promising: by using other model parameters such as orographic, climatic or stand parameters together with magnetic susceptibility, the prediction quality of the deposed agents could be improved and small scale variations in nutrient potentials and risks driven by fly ash deposition could be better recognized and made available for forest management decisions.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Technische Universität Dresden

Year

2010

Author dc:creator

• Fürst, Christine

Contributors dc:contributor

• Makeschin, Franz
• Glatzel, Gerhard

• fly ash deposition
• industrial pollution
• field assessment methods
• regionalization
• Flugascheeinträge
• industrielle Abgase
• Erhebungsmethoden
• Regionalisierung