亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Data Analytics Determines Co-occurrence of Odorants in Raw Water and Evaluates Drinking Water Treatment Removal Strategies

Geosmin公司 化学 气味 水质 原水 水处理 环境化学 甲硫醇 环境科学 环境工程 有机化学 生态学 生物 硫黄
作者
Chunmiao Wang,Daniel L. Gallagher,Andrea M. Dietrich,Ming Su,Qi Wang,Qingyuan Guo,Junzhi Zhang,Wei An,Jianwei Yu,Min Yang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:55 (24): 16770-16782 被引量:23
标识
DOI:10.1021/acs.est.1c02129
摘要

A complex dataset with 140 sampling events was generated using triple quadrupole gas chromatography-mass spectrometer to track the occurrence of 95 odorants in raw and finished water from 98 drinking water treatment plants in 31 cities across China. Data analysis identified more than 70 odorants with concentrations ranging from not detected to thousands of ng/L. In raw water, Pearson correlation analysis determined that thioethers, non-oxygen benzene-containing compounds, and pyrazines were classes of chemicals that co-occurred, and geosmin and p(m)-cresol, as well as cyclohexanone and benzaldehyde, also co-occurred, indicating similar natural or industrial sources. Based on classification and regression tree analysis, total dissolved organic carbon and geographical location were identified as major factors affecting the occurrence of thioethers. Indoles, phenols, and thioethers were well-removed through conventional and advanced treatment processes, while some aldehydes could be generated. For other odorants, higher removal was achieved by ozonation-biological activated carbon (39.3%) compared to the conventional treatment process (14.5%). To our knowledge, this is the first study to systematically identify the major odorants in raw water and determine suitable treatment strategies to control their occurrence by applying data analytics and statistical methods to the complex dataset. These provide informative reference for odor control and water quality management in drinking water industry.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
星辰大海应助星愿采纳,获得10
1秒前
量子星尘发布了新的文献求助10
1秒前
猫抓板发布了新的文献求助10
20秒前
wanci应助小飞采纳,获得10
20秒前
21秒前
21秒前
jane123发布了新的文献求助10
25秒前
jjc发布了新的文献求助10
26秒前
30秒前
小飞发布了新的文献求助10
35秒前
55秒前
康宁完成签到,获得积分10
1分钟前
酷波er应助我啊采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
从来都不会放弃zr完成签到,获得积分10
1分钟前
1分钟前
1分钟前
Tirachen发布了新的文献求助10
1分钟前
CipherSage应助可爱花瓣采纳,获得10
1分钟前
我啊发布了新的文献求助10
1分钟前
Tirachen完成签到,获得积分10
1分钟前
1分钟前
大模型应助我啊采纳,获得10
1分钟前
可爱花瓣发布了新的文献求助10
2分钟前
Yuki完成签到 ,获得积分10
2分钟前
浮游应助ABBCCC采纳,获得10
2分钟前
2分钟前
YifanWang应助科研通管家采纳,获得30
3分钟前
浮游应助科研通管家采纳,获得10
3分钟前
浮游应助科研通管家采纳,获得10
3分钟前
大模型应助科研通管家采纳,获得30
3分钟前
ABBCCC发布了新的文献求助10
3分钟前
所所应助宋芽芽采纳,获得100
3分钟前
3分钟前
ZXneuro完成签到,获得积分10
3分钟前
葱葱花卷完成签到 ,获得积分10
4分钟前
4分钟前
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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 901
Item Response Theory 800
Identifying dimensions of interest to support learning in disengaged students: the MINE project 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5426582
求助须知:如何正确求助?哪些是违规求助? 4540281
关于积分的说明 14171923
捐赠科研通 4458061
什么是DOI,文献DOI怎么找? 2444804
邀请新用户注册赠送积分活动 1435870
关于科研通互助平台的介绍 1413309