Collaborative Research: An Integrated Approach to Understanding and Spatially Modeling Haloacetonitrile Disinfection By-Products Associated with De Facto Wastewater Reuse
合作研究:了解与实际废水再利用相关的卤代乙腈消毒副产物并对其进行空间建模的综合方法
基本信息
- 批准号:1805058
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Haloacetonitriles (HANs) are a group of disinfection byproducts (DBPs) formed during drinking water disinfection that are important contributors to drinking water toxicity. Recent studies show that HAN formation is increased when the treated wastewater discharged from upstream treatment plants are present in the water supply. Therefore, it is desirable to develop a watershed scale model to predict the risks of HAN formation based on the presence of upstream treated wastewater discharges and the drinking water disinfection processes. This collaborative study between SUNY at Buffalo and Arizona State aims to fill the knowledge gaps that have prevented the development of such a model. Specifically, this study will be the first to determine the rates at which treated wastewater discharges alter the potential formation of HANs due to environmental degradation processes. The experimentally determined parameters will then be applied in regional or national scale water quality models. Additionally, a data science course will be introduced in the environmental engineering curriculum at Arizona State University. A two-semester, cross-course student project spanning modeling and water treatment will be developed at the University at Buffalo. If successful, the development of these models will help aid in the protection of the Nation's water security while monitoring the effects of various water treatment processes.De facto reuse, or indirect potable water reuse, the incidental presence of treated wastewater effluent in downstream drinking water supply, is increasing with urbanization worldwide. The proposed project aims to develop a comprehensive understanding of the risks associated with HANs under de facto wastewater reuse scenarios on the watershed and national scale. It has four research objectives: (1) Determine the HAN risks associated with wastewater effluents as a function of wastewater treatment process and isolate the contribution from wastewater organic matter and inorganic constituent bromide; (2) Determine the influence of biological and photochemical transformation of organic matter on the wastewater-derived HAN risks; (3) Integrate experimental findings into the geospatial DRINCS model to assess wastewater-derived HAN risks for all water treatment plants supplied by surface water in the U.S. (4) Compare model predictions from DRINCS with regional hydrodynamic models to validate the simplifications made in DRINCS or estimate the associated error. This project is the first effort to quantitatively assess wastewater-derived HAN risks on the national scale. Although it focuses on HANs, the framework of integrating experimental research with modeling is transferable to other high priority emerging DBPs and contaminants derived from wastewater. The outcome of this project will inform the nationwide HAN risks due to de facto reuse, and potentially provide strategies for wastewater and water utilities to collaboratively address DBP problems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
卤代乙腈(HAN)是在饮用水消毒过程中形成的一组消毒副产物(DBPs),其是饮用水毒性的重要贡献者。最近的研究表明,当上游处理厂排放的经处理的废水存在于供水中时,HAN的形成增加。因此,它是可取的,以开发一个流域尺度的模型来预测的基础上存在的上游处理后的废水排放和饮用水消毒过程的HAN形成的风险。纽约州立大学布法罗分校和亚利桑那州立大学之间的这项合作研究旨在填补阻碍此类模型开发的知识空白。具体来说,这项研究将是第一个确定的速度,在处理后的废水排放改变潜在的形成HAN由于环境退化过程。实验确定的参数,然后将应用于区域或国家尺度的水质模型。此外,数据科学课程将在亚利桑那州立大学的环境工程课程中引入。布法罗大学将开发一个跨越建模和水处理的两个学期的跨课程学生项目。如果成功的话,这些模型的开发将有助于保护国家的水安全,同时监测各种水处理过程的影响。事实上的再利用,或间接饮用水再利用,在下游饮用水供应中偶然存在的处理过的废水,随着全球城市化的发展而增加。拟议的项目旨在全面了解流域和国家范围内实际废水再利用情景下与HAN相关的风险。本研究的主要目的是:(1)确定废水处理过程中产生的HAN风险,并将其与废水中的有机物和无机组分溴化物分离开来:(2)确定有机物的生物转化和光化学转化对废水中HAN风险的影响;(3)将实验结果整合到地理空间DRINCS模型中,以评估美国所有地表水供应的水处理厂的废水衍生HAN风险。将DRINCS的模型预测与区域水动力模型进行比较,以验证DRINCS中的简化或估计相关误差。该项目是第一次在全国范围内定量评估废水产生的HAN风险。虽然它侧重于HAN,但将实验研究与建模相结合的框架可以转移到其他高优先级的新兴DBPs和来自废水的污染物。该项目的成果将告知全国范围内的HAN风险,由于事实上的再利用,并可能提供战略的废水和供水设施,以合作解决DBP problems.This award reflects NSF's法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Effects of Sunlight on the Formation Potential of Dichloroacetonitrile and Bromochloroacetonitrile from Wastewater Effluents
阳光对废水中二氯乙腈和溴氯乙腈形成潜力的影响
- DOI:10.1021/acs.est.9b06526
- 发表时间:2020
- 期刊:
- 影响因子:11.4
- 作者:Xu, Jiale;Kralles, Zachary T.;Hart, Christine H.;Dai, Ning
- 通讯作者:Dai, Ning
{{
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 }}
Ning Dai其他文献
Heuristically Semi-automated Segmentation of Femur from 3-D CT Images
从 3-D CT 图像中启发式半自动分割股骨
- DOI:
10.7763/ijcte.2016.v8.1051 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Zhiwei Huang;Ning Dai;Hao Liu - 通讯作者:
Hao Liu
Deoxycholic Acid-Induced Gut Dysbiosis Disrupts Bile Acid Enterohepatic Circulation and Promotes Intestinal Inflammation
脱氧胆酸引起的肠道菌群失调会扰乱胆汁酸肠肝循环并促进肠道炎症
- DOI:
10.1007/s10620-020-06208-3 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Mengque Xu;Mengsha Cen;Yuqin Shen;Yubin Zhu;Fangli Cheng;Linlin Tang;Weiling Hu;Ning Dai - 通讯作者:
Ning Dai
Simultaneous realization of light distribution and trapping in micromorph tandem solar cells using novel double-layered antireflection coatings
使用新型双层减反射涂层同时实现微晶串联太阳能电池的光分布和捕获
- DOI:
10.1016/j.solmat.2015.08.002 - 发表时间:
2015-12 - 期刊:
- 影响因子:6.9
- 作者:
Christophe Ballif;Hua Xu;Ning Dai;Weijie Song - 通讯作者:
Weijie Song
Grid-tree composite support structures for lattice parts in selective laser melting
- DOI:
https://doi.org/10.1016/j.matdes.2022.111499 - 发表时间:
2023 - 期刊:
- 影响因子:
- 作者:
Renkai Huang;Ning Dai;Chunrong Pan;Youwen Yang;Xiaotong Jiang;Sukun Tian;Zhe Zhang - 通讯作者:
Zhe Zhang
Tu2066 Prevalence of Irritable Bowel Syndrome in China: Joint Effects of Psychiatric Morbidity With Life Event Stress and Lactose Intake
- DOI:
10.1016/s0016-5085(13)63422-8 - 发表时间:
2013-05-01 - 期刊:
- 影响因子:
- 作者:
Yanqin Long;Yanyong Deng;Hua Chu;Jianfeng Yang;Yubin Zhu;Xia Zheng;Huiqin He;Zhihui Huang;Liang Luo;Michael Fried;Ning Dai;Mark R. Fox - 通讯作者:
Mark R. Fox
Ning Dai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 }}
{{ truncateString('Ning Dai', 18)}}的其他基金
Collaborative Research: CAS: Sunlight- and Oxidant-Induced Transformation of Tire-Derived Contaminants on Roadway-Associated Surfaces
合作研究:CAS:道路相关表面上轮胎源污染物的阳光和氧化剂诱导转化
- 批准号:
2305084 - 财政年份:2023
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
CAREER: Impacts of Marine Algal Blooms on Disinfection Byproduct Formation in Seawater Desalination
职业:海洋藻类大量繁殖对海水淡化中消毒副产物形成的影响
- 批准号:
1652412 - 财政年份:2017
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Pesticide Transformation by Nitrogen Oxides on Leaf Surfaces
叶表面氮氧化物对农药的转化
- 批准号:
1610807 - 财政年份:2016
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331294 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
- 批准号:
2331710 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
- 批准号:
2331711 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332661 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326622 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331295 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
- 批准号:
2331296 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
- 批准号:
2326621 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
- 批准号:
2332662 - 财政年份:2024
- 资助金额:
$ 20万 - 项目类别:
Standard Grant














{{item.name}}会员




