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at improving air quality are difficult to predict. One reason for this is that ozone formation depends on the concentration of precursor substances such as nitrogen oxides (NOx) and volatile organic compounds
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of measures aimed at improving air quality are difficult to predict. One reason for this is that ozone formation depends on the concentration of precursor substances such as nitrogen oxides (NOx) and volatile
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production, the Fraunhofer ITWM develops prediction models on the basis of which process optimisations are carried out. These models are calibrated by adapting model parameters to measurement data. The quality
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prediction technologies, and handheld devices, present novel opportunities for African livestock farmers to adapt to climate change and improve environmental performance. The aim of this research is to