1. Component analysis and risk assessment of biogas slurry from biogas plants
- Author
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Xiaobin Liu, Lanting Ke, Yanmei Zheng, Yuanpeng Wang, Bingqing Du, and Qingbiao Li
- Subjects
Pollution ,Environmental Engineering ,Chemistry ,General Chemical Engineering ,media_common.quotation_subject ,Chemical oxygen demand ,General Chemistry ,Raw material ,Pulp and paper industry ,Biochemistry ,Manure ,Arsenic contamination of groundwater ,Biogas ,Slurry ,Chicken manure ,media_common - Abstract
Massive amounts of biogas slurry are produced due to the development of biogas plants. The pollution features and the risk of biogas slurry were fully evaluated in this work. Thirty-one biogas slurry samples were collected from sixteen different cities and five different raw materials biogas plants (e.g. cattle manure, swine manure, straw-manure mixture, kitchen waste and chicken manure). The chemical oxygen demand (COD), ammonia nitrogen ( NH 4 + - N ), anions (e.g. Cl−, SO 4 2 - , NO 3 - and PO 4 3 - ), antibiotics (e.g. sulphonamides, quinolones, β2-receptor agonists, macrolides, tetracyclines and crystal violet) and heavy metals (e.g. Cu, Cd, As, Cr, Hg, Zn and Pb) contents from these biogas slurry samples were systematically investigated. On this basis, risk assessment of biogas slurry was also performed. The concentrations of COD, NH 4 + - N and PO 4 3 - in biogas slurry samples with chicken manure as raw material were significantly higher than those of other raw materials. Therefore, the biogas slurry from chicken manure raw material demonstrated the most serious eutrophication threat. The antibiotic contents in biogas slurry samples from swine manure were the highest among five raw materials, mostly sulphonamides, quinolones and tetracyclines. Biogas slurry revealed particularly serious arsenic contamination and moderate potential ecological risk. The quadratic polynomial stepwise regression model can quantitatively describe the correlation among NH 4 + - N , PO 4 3 - and heavy metals concentration of biogas slurry. This work demonstrated a universal potential threat from biogas slurry that can provide supporting data and theoretical basis for harmless treatment and reuse of biogas slurry.
- Published
- 2022