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To Identify the Important Soil Properties Affecting Dinoseb Adsorption with Statistical Analysis

Guan, Yiqing; Wei, Jianhui ORCID iD icon 1; Zhang, Danrong; Zu, Mingjuan; Zhang, Liru
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

Investigating the influences of soil characteristic factors on dinoseb adsorption parameter with different statistical methods would be valuable to explicitly figure out the extent of these influences.The correlation coefficients and the direct, indirect effects of soil characteristic factors on dinoseb adsorption parameterwere analyzed through bivariate correlation analysis, and path analysis.With stepwise regression analysis the factors which had little influence on the adsorption parameter were excluded. Results indicate that pH and CEC had moderate relationship and lower direct effect on dinoseb adsorption parameter due to the multicollinearity with other soil factors, and organic carbon and clay contents were found to be the most significant soil factors which affect the dinoseb adsorption process. A regression is thereby set up to explore the relationship between the dinoseb adsorption parameter and the two soil factors: the soil organic carbon and clay contents. A 92% of the variation of dinoseb sorption coefficient could be attributed to the variation of the soil organic carbon and clay contents.


Verlagsausgabe §
DOI: 10.5445/IR/1000080003
Originalveröffentlichung
DOI: 10.1155/2013/362854
Scopus
Zitationen: 11
Dimensions
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2013
Sprache Englisch
Identifikator ISSN: 2356-6140
urn:nbn:de:swb:90-800036
KITopen-ID: 1000080003
HGF-Programm 12 (POF II, LK 01) ATMO
Erschienen in The Scientific World Journal
Verlag Hindawi
Band 2013
Heft 2013
Seiten Art.Nr. 362854
Nachgewiesen in Dimensions
Scopus
Web of Science
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