Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2014
Volume 17
Issue 3
Topic:
Geodesy and Cartography
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Fitrzyk M. , Kopańczyk K. , Doğru A. , Keskin M. 2014. ADDITIVE APPROACH TO SOIL WATER EROSION RISK ASSESSMENT USING PRINCIPAL COMPONENT ANALYSIS, EJPAU 17(3), #08.
Available Online: http://www.ejpau.media.pl/volume17/issue3/abs-08.html

ADDITIVE APPROACH TO SOIL WATER EROSION RISK ASSESSMENT USING PRINCIPAL COMPONENT ANALYSIS

Magdalena Fitrzyk1, Katarzyna Kopańczyk1, Ahmet Özgür Doğru2, Merve Keskin2
1 Institute of Geodesy and Geoinformatics, Wroc³aw University of Environmental and Life Sciences, Poland
2 Geomatics Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Turkey

 

ABSTRACT

The paper presents additive approach as an alternative to known methodology
(factorial scoring)  of soil water erosion risk assessment. The study is performed
for agricultural land of  a test site located in Lower Silesia, Poland.
Proposed algorithm is based on Principal Component Analysis (PCA) of three environmental
factors: soil susceptibility to water erosion, slope and vegetation cover. The
interpretation of PCA components leads to conclusion that two of them (component
2 and component 3) are suitable to describe the erosion risk and their  simultaneous
analysis – which Authors called additive approach – is sufficient to assess
the soil water erosion hazard. For this purpose models with different assumptions
were created: PCA Model I, in which component 3 values are negative, is assumed
to indicate areas less endangered with potential soil water erosion risk, whereas
PCA Model II with the component 3 values being greater or equal to 0 demonstrates
more endangered areas. In both cases the diversification of actual soil water
erosion hazard is a result of component 2 values. The results of the study lead
to the conclusion that the proper interpretation of principal components and
their spatial distribution provides detailed and comprehensive information on
actual soil water erosion risk, especially on the areas facing the same degree
of potential erosion.

Key words: soil water erosion, Principal Component Analysis (PCA), factorial scoring, remote sensing, Geographical Information System (GIS).

Magdalena Fitrzyk
Institute of Geodesy and Geoinformatics, Wroc³aw University of Environmental and Life Sciences, Poland

email: magdalena.fitrzyk@igig.up.wroc.pl

Katarzyna Kopańczyk
Institute of Geodesy and Geoinformatics, Wroc³aw University of Environmental and Life Sciences, Poland

email: katarzyna.kopanczyk@igig.up.wroc.pl

Ahmet Özgür Doğru
Geomatics Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Turkey
Istanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Department
34469 Maslak
Istanbul, Turkey
email: ozgur.dogru@itu.edu.tr

Merve Keskin
Geomatics Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Turkey
Istanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Department
34469 Maslak
Istanbul, Turkey
email: keskinmer@itu.edu.tr

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.

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