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The thesis explored the performance of a hybrid anaerobic nano-engineered system in terms of organic pollutant biotransformation and formation of biogas. The specific research objectives focused on (i) organic micropollutants (OMPs) removal and transformation, (ii) organic degradation kinetics at different rate-limiting conditions, and (iii) organic degradation kinetics in overloading conditions., Die Dissertation untersuchte die Leistung eines hybriden anaeroben Systems mit Nanotechnologie in Bezug auf die Biotransformation organischer Schadstoffe und die Bildung von Biogas. Die spezifischen Forschungsziele konzentrierten sich auf (i) die Entfernung und Umwandlung organischer Mikroverunreinigungen (OMP), (ii) die Kinetik des organischen Abbaus bei verschiedenen ratenbegrenzenden Bedingungen und (iii) die Kinetik des organischen Abbaus unter Überlastungsbedingungen.

The ALFAM2 database has measurements of ammonia volatilization (emission) from field-applied liquid animal manure (slurry). The dataset consists of two files: one with plot- (ALFAM2_plot.csv) and one with measurement interval-level (ALFAM2_interval.csv) observations. For information on file headers, see the *-level_variables.csv files. The two data files can be merged on two plot keys (identification codes): pid and pmid. See the README.md file at https://github.com/sashahafner/ALFAM2-data, the web page https://projects.au.dk/alfam/ (or alfam.dk), and the reference and related identifiers here on the Zenodo page for more details., The ALFAM2 database has measurements of ammonia volatilization (emission) from field-applied liquid animal manure (slurry). The dataset consists of two files: one with plot- (ALFAM2_plot.csv) and one with measurement interval-level (ALFAM2_interval.csv) observations. For information on file headers, see the *-level_variables.csv files. The two data files can be merged on two plot keys (identification codes): pid and pmid. See the README.md file at https://github.com/sashahafner/ALFAM2-data, the web page https://projects.au.dk/alfam/ (or alfam.dk), and the reference and related identifiers here on the Zenodo page for more details.

Nitrous oxide (N2O), ammonia (NH3), and methane (CH4) emissions from the manure management chain of livestock production systems are important contributors to greenhouse gases (GHGs) and NH3 emitted by human activities. Several studies have evaluated manure-related emissions and associated key variables at regional, national, or continental scales. However, there have been few studies focusing on the drivers of these emissions using a global dataset. An international project was created (DATAMAN) to develop a global database on GHG and NH3 emissions from the manure management chain (housing, storage, and field) to identify key variables influencing emissions and ultimately to refine emission factors (EFs) for future national GHG inventories and NH3 emission reporting. This paper describes the “field” database that focuses on N2O and NH3 EFs from land-applied manure and excreta deposited by grazing livestock. We collated relevant information (EFs, manure characteristics, soil properties, and climatic conditions) from published peer-reviewed research, conference papers, and existing databases. The database, containing 5,632 observations compiled from 184 studies, was relatively evenly split between N2O and NH3 (56 and 44% of the EF values, respectively). The N2O data were derived from studies conducted in 21 countries on five continents, with New Zealand, the United Kingdom, Kenya, and Brazil representing 86% of the data. The NH3 data originated from studies conducted in 17 countries on four continents, with the United Kingdom, Denmark, Canada, and The Netherlands representing 79% of the data. Wet temperate climates represented 90% of the total database. The DATAMAN field database is available at http://www.dataman.co.nz.