Management of biosolids-derived hydrochar (Sewchar): Effect on plant germination, and farmers' acceptance
| Autor: | Hailong Wang, Jörg Rinklebe, Tatiane Medeiros Melo, Nanthi Bolan, Michael Bottlinger, Sérgio Botelho de Oliveira, Wilson Mozena Leandro, Adelmo Menezes de Aguiar Filho, Yong Sik Ok, Ali El-Naggar, Elke Schulz |
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| Rok vydání: | 2019 |
| Předmět: |
Environmental Engineering
Biosolids 0208 environmental biotechnology Amendment Biomass Greenhouse Germination 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law engineering.material 01 natural sciences Soil Hydrothermal carbonization Humans Soil Pollutants Waste Management and Disposal 0105 earth and related environmental sciences 2. Zero hunger Sewage sludge Farmers Sewage General Medicine 6. Clean water 020801 environmental engineering Agronomy 13. Climate action engineering Environmental science Fertilizer |
| Zdroj: | Journal of Environmental Management. 237:200-214 |
| ISSN: | 0301-4797 |
| DOI: | 10.1016/j.jenvman.2019.02.042 |
| Popis: | Hydrothermal carbonization is a promising approach of biosolids management and its utilization as a soil amendment. This study evaluated the physical and chemical properties of hydrothermally converted biosolids (Sewchar) and its effect as a potential soil amendment on the growth of rice, beans, and radish. The germination experiment was conducted in a greenhouse in a randomized design using five Sewchar doses (0, 10, 20, 40 and 60 Mg ha-1). The results showed that hydrothermal carbonization influences the physicochemical properties of the biosolids, such as promoting pore structure and trace elements below the threshold values for use in agriculture. The spectroscopic techniques demonstrated higher presence of oxygen-containing functional groups (e.g., CO/OH) on surfaces of Sewchar than that of biosolids. The Sewchar doses of 10 Mg ha-1 and 60 Mg ha-1 yielded the highest dry biomass for beans and rice respectively. Increasing Sewchar doses negatively correlated with radish dry biomass, as indicated by linear regression equation fitting (p |
| Databáze: | OpenAIRE |
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