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Kladnik V, Dworak S, Schwarzböck T. Composition of public waste - a case study from Austria. WASTE MANAGEMENT (NEW YORK, N.Y.) 2024; 178:210-220. [PMID: 38408397 DOI: 10.1016/j.wasman.2024.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 01/08/2024] [Accepted: 02/19/2024] [Indexed: 02/28/2024]
Abstract
Waste from public places like parks, pedestrian zones or sidewalks is a visible yet unexploited waste stream. Publications and information on the amounts and makeup of this waste flow are very scarce. To evaluate the resource potential and enable waste management planning, this study aims to assess the quality and quantity of public waste in a detailed waste characterisation campaign. For the first time, an analysis at this level of detail was conducted in a medium-sized town (25,000 inhabitants) in Austria. The sampling campaign included the whole town area. In total, almost 1000 kg of waste was sorted in up to 88 different fractions, which allows the detailed composition of, for example, packaging waste and single-use plastics to be delineated. We found that the amount of waste collected in public street bins is approximately 2.6 % of the total mixed municipal solid waste, resulting in 4.1 kg of public waste per inhabitant annually. The vast majority of this waste is currently collected as mixed waste. The results indicate a high share (52 %) of recyclable materials (glass, metal, paper and lightweight packaging) in mixed public waste, most of which is packaging (44 % of total waste). Other large shares include dog feces (18 % of total waste) and biogenic waste (17 % of total waste). The results lay the foundation for further investigations into, for example, exploiting recycling potential or evaluating possible improvements in separate waste collection in public spaces. Further, the collected data serve as an essential knowledge basis for policymakers and local authorities.
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Affiliation(s)
- Veronika Kladnik
- Institute for Water Quality and Resource Management, Technische Universität Wien (TU Wien), Karlsplatz 13/226, 1040 Vienna, Austria.
| | - Sabine Dworak
- Institute for Water Quality and Resource Management, Technische Universität Wien (TU Wien), Karlsplatz 13/226, 1040 Vienna, Austria
| | - Therese Schwarzböck
- Institute for Water Quality and Resource Management, Technische Universität Wien (TU Wien), Karlsplatz 13/226, 1040 Vienna, Austria
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Biodigestion System Made of Polyethylene and Polystyrene Insulator for Dog Farm (on the Example of the Republic of Chile). LIFE (BASEL, SWITZERLAND) 2022; 12:life12122039. [PMID: 36556404 PMCID: PMC9785096 DOI: 10.3390/life12122039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/24/2022] [Accepted: 11/24/2022] [Indexed: 12/12/2022]
Abstract
Anaerobic digestion is a system that can have a high environmental impact through the use of different wastes to obtain biogas and its consequent use for the generation of renewable energy. The objective of this study was to implement a polyethylene biodigester, using polystyrene for thermal insulation in a dog kennel, using canine feces collected in the same place during a period of 5 months to obtain biogas and energy. The results indicated that biogas production started on day 30 and stopped during the winter period with low temperatures; therefore, from day 54 onwards, equine manure was added to continue producing biogas. Although biogas was obtained, the biodigester did not function optimally, due to the fact that the materials used in its construction did not provide efficient insulation from the low external temperatures; the low C/N ratio of the canine feces, which led to a reduction in the processing of the methanogenic bacteria; and the low amount of feces collected for use. In general, the use of a biodigester can provide a tool for the biological processing and management of organic waste, yielding a cumulative source of renewable energy and ensuring environmental safety.
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Pei W, Yan T, Lei Q, Zhang T, Fan B, Du X, Luo J, Lindsey S, Liu H. Spatio-temporal variation of net anthropogenic nitrogen inputs (NANI) from 1991 to 2019 and its impacts analysis from parameters in Northwest China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 321:115996. [PMID: 36029628 DOI: 10.1016/j.jenvman.2022.115996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 08/07/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
At present, excessive nutrient inputs caused by human activities have resulted in environmental problems such as agricultural non-point source pollution and water eutrophication. The Net Anthropogenic Nitrogen Inputs (NANI) model can be used to estimate the nitrogen (N) inputs to a region that are related to human activities. To explore the net nitrogen input of human activities in the main grain-producing areas of Northwestern China, the county-level statistical data for the Ningxia province and NANI model parameters were collected, the spatio-temporal distribution characteristics of NANI were analyzed and the uncertainty and sensitivity of the parameters for each component of NANI were quantitatively studied. The results showed that: (1) The average value of NANI in Ningxia from 1991 to 2019 was 7752 kg N km-2 yr-1. Over the study period, the inputs first showed an overall increase, followed by a decrease, and then tended to stabilize. Fertilizer N application was the main contributing factor, accounting for 55.6%. The high value of NANI in Ningxia was mainly concentrated in the Yellow River Diversion Irrigation Area. (2) The 95% confidence interval of NANI obtained by the Monte Carlo approach was compared with the results from common parameters in existing literature. The simulation results varied from -6.4% to 27.4% under the influence of the changing parameters. Net food and animal feed imports were the most uncertain input components affected by parameters, the variation range was -20.7%-77%. (3) The parameters of inputs that accounted for higher proportions of the NANI were more sensitive than the inputs with lower contributions. The sensitivity indexes of the parameters contained in the fertilizer N applications were higher than those of net food and animal feed imports and agricultural N-fixation. This study quantified the uncertainty and sensitivity of parameters in the process of NANI simulation and provides a reference for global peers in the application and selection of parameters to obtain more accurate simulation results.
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Affiliation(s)
- Wei Pei
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Tiezhu Yan
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qiuliang Lei
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Tianpeng Zhang
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Bingqian Fan
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xinzhong Du
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Jiafa Luo
- AgResearch Limited, Ruakura Research Centre, Hamilton, 3240, New Zealand
| | - Stuart Lindsey
- AgResearch Limited, Ruakura Research Centre, Hamilton, 3240, New Zealand
| | - Hongbin Liu
- Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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Meng L, Xu C, Wu F. Microbial co-occurrence networks driven by low-abundance microbial taxa during composting dominate lignocellulose degradation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 845:157197. [PMID: 35839876 DOI: 10.1016/j.scitotenv.2022.157197] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/27/2022] [Accepted: 07/02/2022] [Indexed: 06/15/2023]
Abstract
Lignocellulose, which contains cellulose, hemicellulose and lignin, is one of the most important factors determining the rate and quality of compost decomposition, and the microbial community composition affects the rate of lignocellulose decomposition. Interactions between microbial taxa contribute significantly to ecosystem energy flow and material cycling. However, it is not clear how interactions between microbial taxa affect the degradation of lignocellulose during the composting process. For this reason we carried out aerobic co-composting experiments with maize straw and cattle manure to explore the contribution of microbial community diversity and the interaction between taxa to lignocellulosic degradation. The results showed that moisture and temperature had the greatest effect on microbial communities during composting and that lignocellulose degradation was dominated by microbial co-occurrence networks rather than microbial community diversity. Overall co-occurrence network and bacterial-fungal interactions explained 23.9-84.1 % of lignocellulosic degradation, whereas microbial diversity only accounted for 24.6-31.5 %. Interestingly, keystone taxa analysis of the microbial co-occurrence networks revealed that low-abundance taxa influenced microbial interactions driving lignocellulose degradation. Our results provide a new perspective for understanding lignocellulose degradation during composting, offering insights into important microbial interaction mechanisms for improving compost quality and efficiency.
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Affiliation(s)
- Lingxu Meng
- College of Ecology and Environment, Inner Mongolia University, Hohhot 010000, China
| | - Chunxue Xu
- College of Ecology and Environment, Inner Mongolia University, Hohhot 010000, China
| | - Fanlin Wu
- College of Ecology and Environment, Inner Mongolia University, Hohhot 010000, China
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Mao Y, Zhang H, Tang W, Zhao J, Wang Z, Fan A. Net anthropogenic nitrogen and phosphorus inputs in Pearl River Delta region (2008-2016). JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 282:111952. [PMID: 33461089 DOI: 10.1016/j.jenvman.2021.111952] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
Excess inputs of nitrogen (N) and phosphorus (P) are the main contributors of aquatic environmental deterioration. Due to the agricultural and industrial activities in the rapidly urbanized basin, the anthropogenic N and P cycle are significantly different from other regions. In this study, we took the Pearl River Delta as an example and introduced the budget list of N and P in the five survey years, including the net anthropogenic N inputs (NANI) and net anthropogenic P inputs (NAPI). The results revealed that the intensities of NANI and NAPI in this area increased from 2008 to 2010 and then decreased after 2010. The peak values were 21001 kg N km-2yr-1 and 4515 kg P km-2yr-1 for the intensities of NNAI and NAPI, respectively, while the lowest values decreased to 19186 kg N km-2yr-1 and 4103 kg P km-2yr-1 in 2016. The most important contribution of NANI and NAPI sources in this area were net N and P inputs for human food and animal feed with an average contribution of 61.41% and 76.83%, which indicated that large amounts of N and P were introduced into the environment through the food system. This study expanded the knowledge on regional environmental management from human dietary consumption, human life consumption, animal consumption and fertilizer consumption. Its reuse will be put into practice by understanding the driving factors of N and P inputs in each region of the basin, combining the urbanization characteristics.
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Affiliation(s)
- Yupeng Mao
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture and Rural Affairs, College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China
| | - Hong Zhang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China.
| | - Wenzhong Tang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China.
| | - Jianwei Zhao
- Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture and Rural Affairs, College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Zhipeng Wang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China
| | - Aoxiang Fan
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Science, Beijing, 100049, PR China; College of the Environment, China University of Geosciences, Wuhan, 430074, PR China
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Fernández-Rodríguez MJ, Puntano NF, Mancilla-Leytón JM, Borja R. Batch mesophilic anaerobic co-digestion of spent goat batch mesophilic anaerobic co-digestion of spent goat straw bedding and goat cheese whey: Comparison with the mono-digestion of the two sole substrates. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 280:111733. [PMID: 33357983 DOI: 10.1016/j.jenvman.2020.111733] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 11/18/2020] [Accepted: 11/21/2020] [Indexed: 06/12/2023]
Abstract
Spent livestock bedding is a valuable resource for the production of green energy (methane) in rural areas. Comparison and evaluation of batch anaerobic digestion and co-digestion of different mixtures of goat straw bedding (SGSB) and goat cheese whey were carried out. Biochemical methane potential (BMP) tests of the 100% SGSB, 95% SGSB-5% whey, 90% SGSB-10% whey, 85% SGSB-15% whey and 100% whey were found to be 423 ± 7, 354 ± 9, 371 ± 2, 293 ± 1, 274 ± 2 mL CH4 g-1 VS. Two different kinetic models were evaluated. The logistic model revealed a decrease in the maximum methane production rate (Rm) from 34.7 ± 1.5 to 14.1 ± 0.9 mL CH4 g-1 VS·d-1 when the percentage of whey in the mixture increased from 0 to 15% as a consequence of the increased ammonia released during the co-digestion of increased concentrations of whey. The lowest value for the maximum methane production predicted by the model (P) was found for 100% whey (274 ± 10 mL CH4 g-1 VS). A two-substrate model was applied to describe the evident existence of rapid and slowly degradable material. Regarding the hydrolysis kinetic constants predicted by this model, considerable increases in the rapid biodegradation stage (krapid) were observed when comparing to the values found for the slow (kslow) biodegradation stage in all the cases tested. The increases between both constants rose from 5 to 42% when the percentage of whey increased.
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Affiliation(s)
- M J Fernández-Rodríguez
- Instituto de la Grasa (CSIC), Campus Universidad Pablo de Olavide, Edificio 46. Ctra. de Utrera Km. 1, 41013, Sevilla, Spain; Departamento de Sistemas Físicos y Naturales, Universidad Pablo de Olavide, Ctra.de Utrera, km 1, 41013, Sevilla, Spain.
| | - N F Puntano
- Instituto de la Grasa (CSIC), Campus Universidad Pablo de Olavide, Edificio 46. Ctra. de Utrera Km. 1, 41013, Sevilla, Spain
| | - J M Mancilla-Leytón
- Departmento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, 41080, Sevilla, Spain
| | - R Borja
- Instituto de la Grasa (CSIC), Campus Universidad Pablo de Olavide, Edificio 46. Ctra. de Utrera Km. 1, 41013, Sevilla, Spain
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