[1]蒋严波,罗皓百,徐铭骏,等.基于Mintz原则的硫铁矿反硝化生物滤池厚度优化[J].中国给水排水,2026,42(17):84-89.
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基于Mintz原则的硫铁矿反硝化生物滤池厚度优化

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第42卷期数: 2026年第17期页码: 84-89 栏目: 出版日期: 2026-09-01

Title:: Optimization of Thickness in Pyrite Denitrifying Biofilter Based on Mintz Principle

作者:: 蒋严波^1,2，罗皓百¹，徐铭骏¹，冯星灿¹，刘松³，李民龙²，管运涛²; （1.广西北投环保水务集团有限公司广西壮族自治区智慧水务工程研究中心，广西南宁 530022；2.清华大学深圳国际研究生院，广东深圳 518055；3.桂林理工大学环境学院，广西桂林 541010）

Author(s):: Jiang　Yanbo^1，2， Luo　Haobai¹， Xu　Mingjun¹， Feng　Xingcan¹， Liu　Song³， Li　Minlong²， Guan　Yuntao²; （1. Guangxi Engineering Research Center for Smart Water， Guangxi Beitou Environmental Protection & Water Group Co. Ltd.， Nanning 530022， China； 2. Tsinghua Shenzhen International Graduate School， Shenzhen 518055， China； 3. School of Environment， Guilin University of Technology， Guilin 541010， China）

关键词:: 反硝化生物滤池; 硫铁矿滤料; 滤层厚度; 工作周期; 滤层优化

Keywords:: denitrifying biofilter; pyrite particle filler; filter layer thickness; work cycle; filter layer optimization

摘要:: 针对反硝化生物滤池运行中水质周期与压力周期难以协同平衡的问题，构建了硫铁矿反硝化生物滤池，对低浊尾水开展动态过滤实验与模型优化研究。通过对比石英砂与硫铁矿滤料的过滤性能，考察滤料粒径与滤层厚度对悬浮物（SS）去除效果的影响，确定较优运行参数；基于污染物迁移阻滞理论，分别构建压力周期模型与水质周期模型，联立求解获得最佳滤层厚度计算公式，并进行工况验证。结果表明，硫铁矿滤料对SS的平均去除率比石英砂提升1.8%，压力周期更长、运行稳定性更优；在滤料粒径为1.2~2.4 mm、滤层厚度为180 cm、滤速为6 m/h的条件下，SS去除率达79%；模型测算最佳临界滤层厚度为184 cm，对应工作周期为26.0 h，此时水质周期与压力周期同步达到运行极限，滤池处于最优工况。当实际滤层厚度小于临界值时，压力周期大于水质周期，反之则水质周期大于压力周期，二者与滤层厚度均呈线性关系。

Abstract:: To address the difficulty in synergistically balancing the water quality cycle and pressure cycle during denitrifying biofilter operation, a pyrite denitrifying filter was constructed, and dynamic filtration experiments and model optimization were conducted using low-turbidity tailwater. The filtration performance of quartz sand and pyrite media was compared to investigate the effects of media particle size and filter layer thickness on suspended solids (SS) removal, thereby determining the optimal operating parameters. Based on pollutant transport-retardation theory, a pressure cycle model and a water quality cycle model were established separately. By solving these models simultaneously, a formula for the optimal filter layer thickness was derived and subsequently validated under operating conditions. The results indicated that the pyrite media achieved a 1.8% higher average SS removal rate than quartz sand, along with a longer pressure cycle and better operational stability. At a media particle size of 1.2-2.4 mm, a filter layer thickness depth of 180 cm, and a filtration rate of 6 m/h, the SS removal rate reached 79%. Model calculations yielded an optimal critical filter layer thickness of 184 cm, corresponding to an operating cycle of 26.0 h. At this point, the water quality cycle and pressure cycle simultaneously reached their operational limits, indicating that the filter was operating under optimal conditions. When the actual filter layer thickness falled below this critical value, the pressure cycle exceeded the water quality cycle; conversely, when it exceeded the critical value, the water quality cycle exceeded the pressure cycle. Both cycles exhibited a linear relationship with filter layer thickness.

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更新日期/Last Update: 2026-09-01