焦点提醒：援用本文:张平易近安, 袁忠玲, 张明, 秦彦荣, 吴新波, 赵凯亮, 陈永志. 响应面法优化多级A/O+BAF系统处置糊口污水强化脱氮除磷[J]. 情况科学研究, 2022, 35(5): 1233-1244. doi: 10.13198/j.issn.1001-6929.2021.12.23 shuCitation:ZHANG Min'an, YUAN Zhongling, ZHANG Ming, QIN Yanrong, WU Xinbo, ZHAO Kailiang, CHEN Yongz
援用本文:张平易近安, 袁忠玲, 张明, 秦彦荣, 吴新波, 赵凯亮, 陈永志. 响����APP应面法优化多级A/O+BAF系统处置糊口污水强化脱氮除磷[J]. 情况科学研究, 2022, 35(5): 1233-1244. doi: 10.13198/j.issn.1001-6929.2021.12.23 shuCitation:ZHANG Min'an, YUAN Zhongling, ZHANG Ming, QIN Yanrong, WU Xinbo, ZHAO Kailiang, CHEN Yongzhi. Optimizing Multi-Stage A/O+BAF System by Response Surface Methodology for Treating Domestic Sewage Enhance Nitrogen and Phosphorus Removal[J]. Research of Environmental Sciences, 2022, 35(5): 1233-1244. doi: 10.13198/j.issn.1001-6929.2021.12.23 shu响应面法优化多级A/O+BAF系统处置糊口污水强化脱氮除磷doi: 10.13198/j.issn.1001-6929.2021.12.23张平易近安1, 2, 3, , 袁忠玲1, 2, 3, 张明1, 2, 3, 秦彦荣1, 2, 3, 吴新波1, 2, 3, 赵凯亮1, 2, 3, 陈永志1, 2, 3, ,1.兰州交通年夜学，甘肃省黄河水情况重点尝试室，甘肃 兰州 7300702.兰州交通年夜学情况与市政项目学院，甘肃 兰州 7300703.甘肃省污水处置行业手艺中间，甘肃 兰州 730070基金项目: 甘肃省科技打算项目(No.20JR2RA002)；甘肃省黄河水情况重点尝试室开放基金项目(No.21YRWEK006)；甘肃省青年科技基金打算项目(No.20JR5RA075)具体消息Optimizing Multi-Stage A/O+BAF System by Response Surface Methodology for Treating Domestic Sewage Enhance Nitrogen and Phosphorus RemovalZHANG Min'an1, 2, 3 , , YUAN Zhongling1, 2, 3 , ZHANG Ming1, 2, 3 , QIN Yanrong1, 2, 3 , WU Xinbo1, 2, 3 , ZHAO Kailiang1, 2, 3 , CHEN Yongzhi1, 2, 3 , ,1.Key Laboratory of Yellow River Water Environment in Gansu Province, Lanzhou Jiaotong University, Lanzhou 730070, China2.School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China3.Technical Center of Sewage Treatment Industry in Gansu, Lanzhou 730070, ChinaFunds: Science and Technology Program of Gansu Province，China (No.20JR2RA002)；Open Foundation of Key Laboratory of Yellow River Water Environment in Gansu Province，China (No.21YRWEK006)；Youth Science and Technology Fund Program of Gansu Province，China (No.20JR5RA075)摘要摘要HTML全文图(8) 表(5)参考文献(31)相干文章施引文献(4)资本附件(0)拜候统计摘要: 为优化多级A/O(缺氧/好氧)＋BAF(曝气生物滤池)系统处置低C/N糊口污水强化脱氮除磷的要害运转前提，采取单身分实验别离研究了HRT(水力逗留时候)、三点进水比例和BAF填料高度对系统首要污染物去除的影响，并以此为对比，经由过程BBD二阶模子中间复核设想多身分实验，采取响应面法阐发上述三身分对TN、TP去除的交互影响，得出了优化运转前提与TN、TP去除率的模子猜测值，在该前提下运转系统，验证了TN、TP去除率现实值与猜测值的相对误差. 成果注解：①单身分实验注解，当HRT为9 h、进水比例为5∶3∶2、填料高度为1 800 mm时，多级A/O+BAF系统中首要污染物的去除结果最好. ②响应面阐发得出，三身分对TN、TP的去除交互影响显著；模子拟合回归方程得出，优化运转前提为HRT 8.5 h、进水比例5∶3∶2、填料高度1 600 mm时，TN、TP去除率猜测值别离为84.88%、94.37%. ③验证成果注解，进水ρ(TN)、ρ(TP)平均值别离为68.8、5.4 mg/L，出水ρ(TN)、ρ(TP)平均值别离为10.61、0.32 mg/L，TN、TP现实去除率别离为84.15%、94.01%，与TN、TP去除率猜测值比拟，相对误差仅别离为0.86%、0.38%. 研究显示，利用响应面法成立模子优化多级A/O＋BAF工艺处置糊口污水的方式靠得住，实现了对氮磷的强化去除.要害词: 多级A/O+BAF / 响应面法 / 多身分交互 / 模子猜测 / 糊口污水Abstract: This study aim to realize the enhanced removal of nitrogen and phosphorus in the treatment of low C/N ratio domestic sewage, by optimizing the key operation conditions of an integrated process of the multi-stage A/O (anoxic/oxic) + BAF (biological aerated filter). Single factor experiments were conducted to study the effects of HRT (hydraulic retention time), three-point inlet water ratio and BAF packing height on the removal of maior pollutants in the system, furthermore, by BBD second-order mode center review to design multi-factor experiment. The response surface methodology was used to analyze the interactive influence of the above three factors on TN (total nitrogen) and TP (total phosphorus) removal, so as to obtain the optimal operation conditions of the system and the predicted removal rates of the model, based on those conditions, run a parallel experiment to verify the relative error between the actual value of TN and TP removal rate and the predicted value. The results showed that: (1) In the single factor experiment, the conditions for the optimum removal effect of main pollutants in the system were HRT 9 h, inlet water ratio 5:3:2 and packing height 1800 mm. (2) By analyzing the response surface, it is indicated that the three factors have significant interaction influence on the removal of TN and TP. According to the regression equation fitted by the model, the optimal operating conditions were: HRT 8.5 h, inlet water ratio 5:3:2, and packing height 1600 mm, and the predicted removal rates of TN and TP were 84.88% and 94.37%. (3) The results of verification show that the average concentrations of TN and TP in influent were 68.8 and 5.4 mg/L, and in effluent were 10.61 and 0.32 mg/L, respectively, and the corresponding actual removal rates were 84.15% and 94.01%, respectively. Comparing the actual values with the predicted values of TN and TP removal rates, the relative errors were only 0.86% and 0.38%. The research shows that the application of the response surface methodology to model and optimize the multi-stage A/O+BAF process of domestic sewage treatment was reliable and enhanced removal of nitrogen and phosphorus.Key words: multi-stage A/O+BAF / response surface methodology / multi-factor interaction / model-predictive / domestic sewage推荐资讯
13253338363
