Integrated Mathematical Model for Nutrient Removal Wastewater Treatment Plant Including Sludge Treatment Train
含污泥处理机组的营养物去除废水处理厂综合数学模型
基本信息
- 批准号:09650595
- 负责人:
- 金额:$ 2.24万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:1997
- 资助国家:日本
- 起止时间:1997 至 1998
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In upgrading the existing waste water treatment plants to treat nutrients, one of the most cost-effective solution is to change their operation style to multi-anoxic zone process with step feeding. The objective of this study is to present a method to set the appropriate operating conditions of upgraded plants. Field study was performed to characterize the organic matters in return flow from sludge treatment train to water treatment train in municipal wastewater treatment plants. Simulation analysis was performed to study the effect of number of anoxic zones on nitrogen removal of a multi-anoxic zone process with step feeding. The mathematical model that included the Activated Sludge Model No.2 was developed for simulating the performance of the full-scale wastewater treatment plant upgraded from conventional process to without enlargement of reactor volume.We performed the lab-scale batch experiments with the multi-anoxic-aerobic phases with sewage step feed to verify our mathematical model. Simulated results showed that there is the optimum number of anoxic zones and that controlling the dissolved oxygen concentration in aerobic zones improve the nitrogen removal performance.
在对现有污水处理厂进行营养物处理的改造中,将其操作方式改为多缺氧区分步进料是最经济有效的解决方案之一。本研究的目的是提出一种方法来设定适当的升级装置的操作条件。对城市污水处理厂污泥处理列车至水处理列车返流中有机物的特征进行了实地研究。通过模拟分析,研究了多级进料厌氧区数对多厌氧区脱氮的影响。建立了包含活性污泥2号模型的数学模型,用于模拟从常规工艺升级到不扩大反应器体积的全规模污水处理厂的性能。为了验证我们的数学模型,我们进行了实验室规模的分批实验,采用多级厌氧-好氧相和污水阶梯进料。模拟结果表明,存在最佳缺氧区数,控制好氧区溶解氧浓度可提高脱氮性能。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
船水尚行: "ステップ流入式多段硝化脱窒プロセスの段数効果に関する研究" 下水道協会誌論文集. 35・434. 119-130 (1998)
Naoyuki Funamizu:“分级流入多级硝化-反硝化过程中级数的影响的研究”日本下水道协会杂志35・434(1998)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
N.FUNAMIZU: "Simulation analysis of upgrading the existing wastewater treatment plant from a conventional process to a multi-anoxic zone process with step feeding" Proceedings of Advanced wastewater Treatment. Recycling and Reuse. 971-974 (1998)
N.FUNAMIZU:“现有废水处理厂从传统工艺升级为分级进料的多缺氧区工艺的模拟分析”《高级废水处理》论文集。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Naoyuki FUNAMIZU: "Simulation of the Operational Conditions of the Full-Scale Municipal Wastewater Treatment Plant to Improve the Performance of Nutrient Removal" Water Science and Technology. Vol.36, No.12. 9-18 (1997)
Naoyuki FUNAMIZU:“模拟全规模城市污水处理厂的运行条件以提高营养物去除性能”水科学与技术。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
N.FUNAMIZU: "Simulation of the Operational Conditions of the Full-Scale Municipal Waste water Treatment Plant to Jmprove the Performance of Natrient Removal" Water Science and Technology. 36・12. 9-18 (1997)
N.FUNAMIZU:“模拟全规模城市污水处理厂的运行条件以提高废水去除性能”水科学与技术 36・12(1997)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
N.FUNAMIZU: "Simulation of the Operational Conditions of the Full-Scale Municipal Wastewater Treatment Plant to Improve the Peformance of Nutrient Removal" Water Science and Technology. 36・12. 9-18 (1997)
N.FUNAMIZU:“模拟全规模城市污水处理厂的运行条件以提高营养物去除性能”水科学与技术 36・12(1997)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
FUNAMIZU Naoyuki其他文献
FUNAMIZU Naoyuki的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
Calculation and the Verification of the maximum electric power of Microbial Fuel Cells by Minimizing the Internal Resistance Using the Mathematical Model
微生物燃料电池内阻最小化最大电功率的数学模型计算与验证
- 批准号:
23K11483 - 财政年份:2023
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Advancement of mathematical model and visualization method for cognition of relation between micro and macro phenomena
认知微观与宏观现象关系的数学模型和可视化方法的进展
- 批准号:
23K11128 - 财政年份:2023
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Construction and analysis of a hybrid mathematical model describing the dynamics of bacterial cellular society
描述细菌细胞社会动态的混合数学模型的构建和分析
- 批准号:
23K03208 - 财政年份:2023
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Mathematical Model-Based Optimization of CRT Response in Ischemia
基于数学模型的缺血 CRT 反应优化
- 批准号:
10734486 - 财政年份:2023
- 资助金额:
$ 2.24万 - 项目类别:
Noncontact Measurement of Multiple Sites of Multiple People Using Array Radar Signal Processing Based on Mathematical Model of Body Displacement
基于人体位移数学模型的阵列雷达信号处理非接触多人多部位测量
- 批准号:
23H01420 - 财政年份:2023
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Mathematical model to simulate SARS-CoV-2 infection within-host
模拟宿主内 SARS-CoV-2 感染的数学模型
- 批准号:
EP/W007355/1 - 财政年份:2022
- 资助金额:
$ 2.24万 - 项目类别:
Research Grant
A mathematical model of colloidal membrane vesicle formation
胶体膜囊泡形成的数学模型
- 批准号:
567961-2022 - 财政年份:2022
- 资助金额:
$ 2.24万 - 项目类别:
Postgraduate Scholarships - Doctoral
Towards A Mathematical Model For Spacetimes With Multiple Histories
建立具有多重历史的时空数学模型
- 批准号:
577586-2022 - 财政年份:2022
- 资助金额:
$ 2.24万 - 项目类别:
University Undergraduate Student Research Awards
Mathematical model for quantitatively analysis the pathophysiological characteristics of mouse photoreceptor cell
定量分析小鼠感光细胞病理生理特征的数学模型
- 批准号:
22K20514 - 财政年份:2022
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Mathematical model of internal standard selection criteria for accurate quantitative analysis
精确定量分析内标选择标准的数学模型
- 批准号:
22K10604 - 财政年份:2022
- 资助金额:
$ 2.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)