Analysis of Factors Affecting Biological Nitrogen Removal in SBR with ASM2d Model

被引:0
|
作者
Gao, Pin [1 ]
Liu, Zhen-hong [1 ]
Xue, Gang [1 ]
Han, Dan
Zhou, Mei-hua [1 ]
Zhao, Yun-zhi [1 ]
机构
[1] Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
关键词
ASM2d; SBR; biological nitrogen removal; simulation; factors; SEQUENCING BATCH REACTOR;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
By using C++ Builder language, the simulation software which could simulate variable running conditions of a sequencing batch reactor (SBR) process independently had been worked out. Then, the factors of sludge age, dissolved oxygen (DO), drainage ratio, and arrangement of period of time affecting biological nitrogen removal in wastewater treatment were simulated and discussed respectively by applying the activated sludge model No.2d (ASM2d) model. The results showed that high sludge age and DO, and low drainage ratio were favorable for improving nitrogen removal efficiency. However, this favorable trend became unobvious when DO concentration reached a certain degree. In addition, better nitrogen removal efficiency was achieved by using restrained reaction system rather than non-restrained one, and operational way of aeration alternating with mixing could also improve nitrogen removal effect. Therefore, the optimal condition achieving better nitrogen removal was found, sludge age 20d, DO 2.0mg/L, drainage ratio 2/5, restrained reaction system, and aeration alternating with mixing.
引用
收藏
页码:331 / 336
页数:6
相关论文
共 50 条
  • [41] Optimization of the Anaerobic-Anoxic-Oxic Process by Integrating ASM2d with Pareto Analysis of Variance and Response Surface Methodology
    Wang, Zhiqi
    Ji, Tingting
    Zhu, Zhengyu
    Mei, Peng
    Guo, Weian
    Li, Yongmei
    WATER, 2022, 14 (06)
  • [42] Factors affecting the biological nitrogen removal from wastewater in simultaneous nitrification-denitrification process
    Rasouli-Kenari, Hannaneh
    Sarrafzadeh, Mohammad H.
    Mehrnia, Mohammad-Reza
    JOURNAL OF BIOTECHNOLOGY, 2008, 136 : S670 - S671
  • [43] ASM2D模型的多模式AAO工艺模拟和优化
    占梦潮
    洪俊明
    邹璐鲜
    戴兰华
    陈向强
    谢小青
    华侨大学学报(自然科学版), 2017, 38 (01) : 69 - 74
  • [44] 南方城市生活污水ASM2D模型水质研究
    马振强
    罗凡
    李捷
    于翔
    计算机仿真, 2022, 39 (09) : 304 - 308
  • [45] A pilot-scale experimental research on biological nitrogen removal in a modified SBR
    Li, Jun
    Li, Xue-bin
    Li, Jiong-hui
    ADVANCES IN CHEMICAL ENGINEERING II, PTS 1-4, 2012, 550-553 : 1156 - +
  • [46] ASM2d在污水处理中的研究与应用
    郭亚萍
    顾国维
    中国给水排水, 2006, (06) : 8 - 10
  • [47] Biological nitrogen removal with enhanced phosphate uptake in (AO)2 SBR using single sludge system
    Jiang, YF
    Wang, L
    Wang, BZ
    He, SB
    Liu, S
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2004, 16 (06) : 1037 - 1040
  • [48] 基于ASM2D模型对改良DAT-IAT工艺模拟
    傅金祥
    梁伦彰
    王勇勇
    给水排水, 2020, 56 (01) : 134 - 139
  • [49] Establishment of nitrous oxide (N2O) dynamics model based on ASM3 model during biological nitrogen removal via nitrification
    Lv, Ying
    Zhang, Shoubin
    Xie, Kang
    Liu, Guicai
    Qiu, Liping
    Liu, Yutian
    Zhang, Yuanyuan
    Environmental Technology (United Kingdom), 2022, 43 (08): : 1170 - 1180
  • [50] Establishment of nitrous oxide (N2O) dynamics model based on ASM3 model during biological nitrogen removal via nitrification
    Lv, Ying
    Zhang, Shoubin
    Xie, Kang
    Liu, Guicai
    Qiu, Liping
    Liu, Yutian
    Zhang, Yuanyuan
    ENVIRONMENTAL TECHNOLOGY, 2022, 43 (08) : 1170 - 1180