净水技术2023，Vol.42Issue(12)：128-141,14.DOI:10.15890/j.cnki.jsjs.2023.12.016
细菌挂膜结合鱼蚌混养对养殖水体水质的原位调控模拟
Simulation of Combined Bacterial Biofilm Culturing with Fish-Mussel Polyculture for In-Situ Remediation of Aquaculture Water Quatity
摘要
Abstract
To reduce ammonia nitrogen and the adding of nitrifying bacteria during the aquaculture process,the present article adopted the combination of bacterial biofilm and polyculture of Hyriopsis cumingii and fishes to in-situ remediation of aquaculture water.The optimum ratio of fish to mussel and the type of filler were determined by simulation experiments.Based on the results of these previous experiments,the optimal filler density of carbon fiber was determined based on the chemical analysis of aquatic product quality and aquaculture water indicators.In the end of the experiments,the microbial community,and the budgets of nitrogen and phosphorus were analyzed.The experiment results showed that the suitable fish-mussel stocking ratio was 2∶1 in the integrated culture.Compared with felt,carbon fiber filler was more effective in purifying the aquaculture wastewater.Under these conditions,when 10 carbon fiber fillers of 1 m long were installed in the simulated culture pond,the best quality of aquatic products and water purification effect can be achieved.The concentrations of TN,NO-2-N and TP in the pond were(8.03±2.03),(0.03±0.02),(9.03±2.04)mg/L,respectively,meeting the requirements of freshwater fish culture.In this paper,in-situ control of water quality in fish-mussel polyculture and biofilm was proposed.Meanwhile,this paper optimized the fish-mussel stocking ratio and filler's filling ratio.It provides a theoretical reference for the development of the integrated polyculture of Hyriopsis cumingii and fishes.关键词
养殖水体/鱼蚌混养/碳纤维/硝化细菌制剂/水质净化Key words
aquaculture water/fish mussels culture/carbon fiber/nitrifying bacteria preparation/water purification分类
资源环境引用本文复制引用
薛琼,梁文伯,耿冰,汪雅文,宋海亮,杨小丽..细菌挂膜结合鱼蚌混养对养殖水体水质的原位调控模拟[J].净水技术,2023,42(12):128-141,14.基金项目
国家重点研发计划项目(2019YFD1100205) （2019YFD1100205）
国家水体污染控制与治理科技重大专项(2017ZX07202-004) （2017ZX07202-004）
