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  • 1
    Publication Date: 2020-03-23
    Description: This study discusses penetration resistance (PR) of forested Pumice-Andosol sites. PR, a key soil property influencing root growth and elongation, exerts a substantial influence on ecological site quality and tree growth. Andosols were expected to show low PR because of their unique characteristics (low bulk density, loose soil matrix). Five sites, two undisturbed and three backfilled, were sampled. The latter result from pumice excavation and were examined to quantify potential PR alterations in the aftermath of backfilling and pumice removal. Penetrologger sampling on undisturbed sites showed mean PR not exceeding 3 MPa, a literature-based, critical threshold restricting root growth, in the upper 0.80 m, indicating conditions fostering tree rooting. Backfilled sites mostly exhibited increased (〉 3 MPa) PR, leading to rooting restrictions even beginning at −0.21 m. Deviations from undisturbed soils range from −15.6 to +109.3% depending on depth and age of the backfilled site. Furthermore, GIS-based data interpolation helped to identify spatial PR patterns and allowed a direct comparison before/after backfilling at one site. Statistical analysis revealed significantly altered PR after backfilling, while a concluding ANOVA provided at least significant governing factors (depth, area, clay + silt content, soil organic matter), albeit with only small effect sizes.
    Electronic ISSN: 1999-4907
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
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  • 2
    Publication Date: 2023-11-28
    Description: Am Beispiel der Grubenwässer des Saarlandes wurden für die einzelnen Steinkohlengruben Hintergrundwerte mittels der Wahrscheinlichkeitsnetzmethode abgeleitet. Obwohl es sich bei den Grubenwässern um Mischwässer handelt, ist die Ableitung nach dieser Methode technisch möglich und liefert plausible Ergebnisse. Bei einigen Bergwerken wurden insbesondere für die Parameter elektrische Leitfähigkeit und Chlorid zwei Populationen festgestellt. Die Grubenwässer westlich der Saar sind gegenüber denen nordöstlich des Vorfluters durch höhere Mineralisationen gekennzeichnet.
    Description: Abstract: Using the example of the mine waters of the Saarland, background values were derived for the individual coal mines using the probability network method. Despite the fact that the mine waters are mixed waters, deriving values using this method is technically feasible and yields plausible results. In some mines, two populations were identified, particularly for the parameters of electrical conductivity and chloride. The mine waters west of the Saar River are characterized by higher mineralizations compared to those located northeast of the watercourse.
    Description: research
    Keywords: ddc:622.334 ; Saarland ; Grubenwässer ; Steinkohle
    Language: German
    Type: doc-type:article
    Format: 20
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