基于CFD的雨水调蓄池颗粒物沉淀特性研究

王建龙; 秦美娜; 黄涛; 涂楠楠

doi:10.13205/j.hjgc.202112007

基于CFD的雨水调蓄池颗粒物沉淀特性研究

doi: 10.13205/j.hjgc.202112007

王建龙^1,2, ,,
秦美娜¹,
黄涛³,
涂楠楠⁴

1. 北京建筑大学城市雨水系统与水环境省部共建教育部重点实验室, 北京 100044;
2. 北京建筑大学北京市可持续城市排水系统构建与风险控制工程技术研究中心, 北京 100044;
3. 北京市首都规划设计工程咨询开发有限公司, 北京 100045;
4. 中国市政工程华北设计研究总院有限公司北京分公司, 北京 100044

基金项目:

国家水体污染控制与治理科技重大专项(2017ZX07103-002)。

详细信息

通讯作者:
王建龙(1978-),男,博士,教授,主要从事城市雨水径流污染控制、城市雨水规划管理方向研究。wjl_xt@163.com

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出版历程
- 收稿日期: 2020-09-21
- 网络出版日期: 2022-03-30
- 刊出日期: 2022-03-30

SEDIMENTATION CHARACTERISTICS OF PARTICULATE MATTERS IN RUNOFF DETENTION TANK VIA CFD METHOD

1. Key Laboratory of Urban Stormwater System and Water Environment, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control,Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
3. Beijing Capital Planning Design Engineering Consulting, Beijing 100045, China;
4. Beijing Branch, North China Municipal Engineering Design & Research Institute Co., Ltd, Beijing 100044, China

摘要

摘要: 雨水调蓄池在峰值流量和合流制溢流污染控制中发挥着重要作用,但对于雨水径流中颗粒物在调蓄池的沉淀特性尚缺乏系统研究。运用计算流体力学(computational fluid dynamics, CFD)模拟技术,系统研究了雨水调蓄池不同构造和不同工况条件下颗粒物的沉淀特性。模拟结果表明:进水流速由0.276 m/s增加到0.553 m/s时,普通(Ⅰ型)、增加挡板(Ⅱ型)、增加消能孔(Ⅲ型)构造调蓄池颗粒物去除率分别降低14.90%、13.89%和15.32%。当进水中颗粒物粒径由0.075 mm增加到0.15 mm时,Ⅰ型、Ⅱ型、Ⅲ型构造调蓄池颗粒物去除率分别增加9.10%、62.48%和36.65%;进水浓度由1000 mg/L增加到2000 mg/L时,Ⅰ型、Ⅱ型、Ⅲ型构造调蓄池颗粒物去除率分别增加3.60%、2.84%和13.30%。各影响因素对Ⅰ型调蓄池水质控制效果影响的重要程度顺序为进水流速>颗粒物粒径>进水浓度,其对Ⅱ型、Ⅲ型调蓄池水质控制效果影响的重要程度顺序为颗粒物粒径>进水流速>进水浓度。
- 雨水调蓄池 /
- 颗粒物 /
- 沉淀 /
- CFD模拟
Abstract: The runoff detention tank plays an important role in peak flow control and combined sewer overflow pollution control, but the sedimentation characteristics of particles in the stormwater runoff detention tank are still lack of systematic study. Using computational fluid dynamics(CFD) simulation technology, the sedimentation characteristics of particles in the runoff detention tank under different structures and different working conditions were systematically studied. The simulation results showed that when the influent velocity increased from 0.276 m/s to 0.553 m/s, the particle removal rate of the detention tank with smooth bottom(typeⅠ), additional baffles(typeⅡ) and energy dissipating holes(type Ⅲ) decreased by 14.90%, 13.89% and 15.32%, respectively. When the particle size of influent increased from 0.075 mm to 0.15 mm, the particle removal rate increased by 9.10%, 62.48% and 36.65% in the detention tank of typeⅠ, typeⅡand type Ⅲ structure, respectively; when the influent particle concentration increased from 1000 mg/L to 2000 mg/L, the particle removal rate increased by 3.60%, 2.84% and 13.30% in the detention tank of typeⅠ, typeⅡ and type Ⅲ structure, respectively. The importance of different influencing factors on the water quality control in the typeⅠdetention tank was in sequence of influent velocity>particle size>influent particle concentration, and that on the water quality control in both the type Ⅱ and type Ⅲ detention tank were in sequence of particle size>influent velocity>influent particle concentration.
- detention tank /
- particulate matter /
- sedimentation /
- computational fluid dynamics(CFD)

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