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高密度用地背景下深圳某水质净化厂工艺研究

杨颂 张禄禄 董紫君 司马勤

市政技术2024,Vol.42Issue(3):223-229,7.
市政技术2024,Vol.42Issue(3):223-229,7.DOI:10.19922/j.1009-7767.2024.03.223

高密度用地背景下深圳某水质净化厂工艺研究

Research on the Process of a Water Purification Plant in Shenzhen Under the Background of High-density Land Development

杨颂 1张禄禄 2董紫君 3司马勤4

作者信息

  • 1. 深圳市环境水务集团有限公司,广东深圳 518000
  • 2. 太原科技大学环境与资源学院,山西太原 030024
  • 3. 深圳大学土木与交通工程学院,未来地下城市研究院,广东深圳 518060
  • 4. 上海市政工程设计研究总院(集团)有限公司,上海 200092
  • 折叠

摘要

Abstract

As a representative of super cities in China,Shenzhen is severe lacking of land resources so that the urban water purification plants and other infrastructure tend to be three-dimensional and compact design.The Shenzhen Pscare Water Purification Plant(Phase III)was constructed in model of underground water purification plant+covered park.By comparing and studying the sewage treatment process,sludge treatment process,and deodorization process schemes,it was finally determined that the"three-stage anaerobic-anoxic-oxic(AAO)"biological treatment process was adopted for sewage treatment,the"magnetic coagulation high-efficiency sedimentation tank+precision filter"process for deep treatment,and the"concentration+plate and frame deep dehydration+low-temperature thermal drying"process for sludge treatment.The entire process was biological deodorized.The effluent quality indicators can stably meet and exceed the design standards.The construction and standard operation of this plant provide a reference for the upgrading and renovation of water purification plants in super cities with high-density land development.

关键词

水质净化厂/高密度用地/工艺比选/三段式AAO工艺/深度处理

Key words

water purification plant/high-density land development/process comparison/three-stage anaerobic-anoxic-oxic(AAO)process/advanced treatment

分类

资源环境

引用本文复制引用

杨颂,张禄禄,董紫君,司马勤..高密度用地背景下深圳某水质净化厂工艺研究[J].市政技术,2024,42(3):223-229,7.

基金项目

国家自然科学基金资助项目(42277373) (42277373)

深圳市科技计划(KCXFZ20201221173413037) (KCXFZ20201221173413037)

中国绿发投资项目(SGLN0000KXJS2000171) (SGLN0000KXJS2000171)

市政技术

1009-7767

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