[1]李土雄,杨峰,张伟德,等.侧向流倒V型斜板沉淀池用于中型水厂扩建[J].中国给水排水,2025,41(2):89-94.
LITu-xiong,YANGFeng,ZHANG Wei-de,et al.Application of Side-flow Lamella Tank in Expansion of a Medium-sized Waterworks[J].China Water & Wastewater,2025,41(2):89-94.
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LITu-xiong,YANGFeng,ZHANG Wei-de,et al.Application of Side-flow Lamella Tank in Expansion of a Medium-sized Waterworks[J].China Water & Wastewater,2025,41(2):89-94.
侧向流倒V型斜板沉淀池用于中型水厂扩建
中国给水排水[ISSN:1000-4062/CN:12-1073/TU]
卷:
第41卷
期数:
2025年第2期
页码:
89-94
栏目:
出版日期:
2025-01-17
- Title:
- Application of Side-flow Lamella Tank in Expansion of a Medium-sized Waterworks
- 关键词:
- 侧向流倒V型斜板沉淀池; 出水浊度; 正向冲洗; 出水稳流区
- 摘要:
- 深圳某中型水厂设计规模为16×104 m3/d,本期扩建规模为16×104 m3/d,为克服传统斜管沉淀池老化、积泥等问题,扩建工艺采用新型侧向流倒V型斜板沉淀池工艺。生产运行结果表明,在相同投药量下,侧向流倒V型斜板沉淀池沉后水浊度比传统斜管沉淀池降低30%;侧向流倒V型斜板沉淀池刮泥、排泥对沉淀池出水浊度的影响可控;斜板正向冲洗对沉淀池出水浊度影响较大,且沉后水浊度恢复至0.5 NTU的时间长达2.5 h,需将正向冲洗时间设置在制水低谷期;出水稳流区存在返混、“跑矾”现象,可通过降低刮泥机运行速率、优化斜板分布进一步提升运行效果。
- Abstract:
- The design capacity of a waterworks in Shenzhen is 16×104 m3/d, and the expansion capacity is 16×104 m3/d. To solve the problems of aging and sludge accumulation in the traditional inclined tube sedimentation tank, a new type of side-flow lamella tank is adopted in the expansion process. The operation results show that the effluent turbidity of the side-flow lamella tank is 30% lower than that of the traditional inclined tube sedimentation tank with the same dosage. The influence of sludge scraping and discharging is controllable. The forward flushing of side-flow lamella has a great influence on the effluent turbidity of the sedimentation tank, and it takes 2.5 h for the effluent to recover to 0.5 NTU. So, the forward flushing must be set at non-rush hour. There are back mixing and alum escaping phenomena in the steady effluent zone. It is suggested to reduce the running speed of the sludge scraper and optimize the distribution of lamella to further improve the operation effect of the process.
相似文献/References:
[1]苏宇宸,李鹏飞,张新运,等.基于时序神经网络的絮凝剂精准投加控制系统研究[J].中国给水排水,2023,39(3):56.
SUYu-chen,LIPeng-fei,ZHANGXin-yun,et al.Precise Dosing Control System of Flocculant Based on Time-series Neural Network[J].China Water & Wastewater,2023,39(2):56.
更新日期/Last Update:
2025-01-17