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7. Networking the forest infrastructure towards near real-time monitoring – A white paper

Author

Zweifel, Roman, primary, Pappas, Christoforos, additional, Peters, Richard L., additional, Babst, Flurin, additional, Balanzategui, Daniel, additional, Basler, David, additional, Bastos, Ana, additional, Beloiu, Mirela, additional, Buchmann, Nina, additional, Bose, Arun K., additional, Braun, Sabine, additional, Damm, Alexander, additional, D'Odorico, Petra, additional, Eitel, Jan U.H., additional, Etzold, Sophia, additional, Fonti, Patrick, additional, Rouholahnejad Freund, Elham, additional, Gessler, Arthur, additional, Haeni, Matthias, additional, Hoch, Günter, additional, Kahmen, Ansgar, additional, Körner, Christian, additional, Krejza, Jan, additional, Krumm, Frank, additional, Leuchner, Michael, additional, Leuschner, Christoph, additional, Lukovic, Mirko, additional, Martínez-Vilalta, Jordi, additional, Matula, Radim, additional, Meesenburg, Henning, additional, Meir, Patrick, additional, Plichta, Roman, additional, Poyatos, Rafael, additional, Rohner, Brigitte, additional, Ruehr, Nadine, additional, Salomón, Roberto L., additional, Scharnweber, Tobias, additional, Schaub, Marcus, additional, Steger, David N., additional, Steppe, Kathy, additional, Still, Christopher, additional, Stojanović, Marko, additional, Trotsiuk, Volodymyr, additional, Vitasse, Yann, additional, von Arx, Georg, additional, Wilmking, Martin, additional, Zahnd, Cedric, additional, and Sterck, Frank, additional

Published
2023
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8. Modeling greenhouse gas emissions from biological wastewater treatment process with experimental verification: A case study of paper mill.

Author

Han J, Liu Y, Li W, Huang F, Shen W, Liu T, Corriou JP, and Seferlis P

Abstract

Wastewater treatment plants (WWTPs) have been regarded as the main sources of greenhouse gas (GHG) emissions. This study compares the influent characteristics of industrial wastewater represented by the WWTP of paper mill and that of domestic sewage represented by the Benchmark Simulation Model No. 1 (BSM1) under stormy weather. The various sources of GHG emissions from the two processes are calculated, and the contribution of each source to the total GHG emissions is assessed. Firstly, based on the mass balance analysis and the recognized emission factors, a GHG emission calculation model was established for the on-site and off-site GHG emission sources from the WWTP of paper mill. Simultaneously, a GHG emission experimental model was established by determining the dissolved concentrations of carbon dioxide (CO 2 ) and nitrous oxide (N 2 O) in the papermaking wastewater, to verify the accuracy of the developed GHG calculation model. Subsequently, an optimum aeration rate for the paper mill was investigated to comply with the discharging norms. Under the optimum aeration rate of 10 h -1 , the obtained calculation accuracies of CO 2 and N 2 O emissions were 94.6 % and 91.1 %, respectively. The mean total GHG emission in the WWTP of paper mill was 550 kg CO 2 -eq·h -1 , of which 44.6 % came from the on-site emission sources and 55.4 % from the off-site emission sources. It was also uncovered that the electrical consumption for aeration was the largest contributor to the total GHG emissions with a proportion of 25.2 %, revealing that the control strategy of the aeration rate is highly significant in reducing GHG emissions in WWTP of paper mills., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Jiahui Han and Yin Liu contributed equally to this manuscript., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Published
2024
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