The effect of flow rate on the ammonia oxidation rate in the riverway biofilm in-situ remediation and modeling

生物膜 水力学 环境修复 偏斜 体积流量 环境科学 环境工程 流量(数学) 土壤科学 环境化学 化学 岩土工程 水文学(农业) 地质学 机械 生态学 污染 热力学 生物 数学 细菌 物理 古生物学 统计
作者
Bing Liu,Gaoyuan Geng,Peiliang Xie,Yuying Huang,Feiyong Chen,Jing Wang,Yuxi Chen,Hidenari Yasui,Quanyong Wang,Rajeev Goel,Yifan Li
出处
期刊:Chemical Engineering Research & Design [Elsevier BV]
卷期号:179: 430-438
标识
DOI:10.1016/j.psep.2023.09.038
摘要

The biofilm in-situ remediation is one of the most important and practical techniques for river remediation. The biochemical function of biofilms and the hydraulics of the river are both significant aspects of river remediation study, however, they belong to distinctive research points. To date, little research has combined the biochemical process of biofilm and the hydraulics of the river. In this study, ammonia oxidation rate (AOR) was used to characterize the activity of biofilms and measured at different flow rates. It was increased with the flow rate increasing before the peak (26.13 g-N/m3/h) at 0.3 m/s and then decreased to 0 at 0.414 m/s directly. Meanwhile, the skewness equation of flow rate (Fr)−AOR was established based on previous hydraulics and biology research. The kinetic parameters of the equations were determined by fitting the measured values of AOR (R2 > 0.95), which could be used to simulate the AOR of the river simulators and open channels. Besides, the distribution characteristics of the AOR at various flow rates in different sections were obtained. Overall, this paper provides a novel perspective by studying the internal biochemical model of biofilm and the hydraulic model with multiple influencing factors further to improve the biofilm-hydraulics coupling model.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.2应助吃个馍馍采纳,获得10
刚刚
wanci应助执着的翩跹采纳,获得10
1秒前
小信鸽完成签到,获得积分10
1秒前
1秒前
2秒前
3秒前
赘婿应助盒子采纳,获得30
4秒前
芫华发布了新的文献求助10
4秒前
4秒前
Hello应助liva采纳,获得10
5秒前
Gustav_Lebon发布了新的文献求助10
5秒前
lurongjun发布了新的文献求助30
7秒前
molihuakai应助夜雨采纳,获得10
7秒前
飞快的乘风完成签到,获得积分10
8秒前
慕青应助liva采纳,获得10
8秒前
9秒前
Lucas应助pppppristine采纳,获得10
9秒前
孟阳发布了新的文献求助50
10秒前
茉莉完成签到 ,获得积分10
11秒前
11秒前
乐乐应助liva采纳,获得10
11秒前
大个应助科研通管家采纳,获得10
13秒前
13秒前
英姑应助Gustav_Lebon采纳,获得10
13秒前
ddd应助科研通管家采纳,获得10
13秒前
14秒前
博博要毕业完成签到 ,获得积分10
14秒前
汩浥完成签到,获得积分10
14秒前
小信鸽发布了新的文献求助10
14秒前
细腻忆之发布了新的文献求助10
14秒前
CodeCraft应助liva采纳,获得10
14秒前
英俊的铭应助芋芋采纳,获得10
15秒前
天天快乐应助沈周采纳,获得10
16秒前
123发布了新的文献求助10
17秒前
陈东生完成签到,获得积分10
18秒前
桐桐应助pikachu采纳,获得10
19秒前
炜大的我应助芮毅采纳,获得10
19秒前
SciGPT应助奈何采纳,获得10
19秒前
19秒前
Zzz发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7618256
求助须知:如何正确求助?哪些是违规求助? 9193532
关于积分的说明 19704516
捐赠科研通 7190749
什么是DOI,文献DOI怎么找? 3272214
关于科研通互助平台的介绍 2434900
邀请新用户注册赠送积分活动 2267419