Publications by authors named "J Matschullat"

Phosphorus is unique, given its characteristic of being essential for all life on Earth. The element is non-substitutable and finite in the form of highly concentrated phosphate-rock deposits. Thus, humankind should strive to utilize this resource in the most-efficient and sustainable manner.

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Treatment of nutrient-rich wastewater potentially results in direct release of greenhouse gases (GHGs) such as CO, NO or CH - and thus affects Waste Water Treatment Plant's carbon footprint. Accurate CO quantification is challenging due to various chemical, physical and operational conditions. A floating chamber equipped with a nondispersive infrared, single beam, dual wavelength sensor has been evaluated for a pilot approach to quantify fugitive CO emissions above different wastewater treatment units.

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A reliable overview of measured concentrations of TC, TN and TS, TOC/TN ratios, and their regional distribution patterns in agricultural soil at the continental scale and based on measured data has been missing - despite much previous work on local and the European scales. Detection and mapping of natural (ambient) background element concentrations and variability in Europe was the focus of this work. While total C and S data had been presented in the GEMAS atlas already, this work delivers more precise (lower limit of determination) and fully quantitative data, and for the first time high-quality TN data.

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Todos os Santos (All Saints) Bay area, NE-Brazil, is known for one of the most important cases of urban lead (Pb) contamination in the world. The main objective of this work was to assess and interpret the spatial distribution of As, Cd, Hg, Pb, and Zn in "background" soils of this environmentally impacted bay area, using a combination of geostatistical and multivariate analytical methods to distinguish between natural and anthropogenic sources of those metal(oid)s in soils. We collected 114 topsoil samples (0.

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A soil geochemical dataset (major and minor elements), based on low-density sampling, is provided for NE-Brazil (ca. 1.7 million km²).

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