MRI: Acquisition of a Dynamic Imaging Particle Analyzer for Characterization of Particulate Matters in Engineered and Natural Water Systems at Montclair State University
MRI:在蒙特克莱尔州立大学购买动态成像颗粒分析仪,用于表征工程水和天然水系统中的颗粒物
基本信息
- 批准号:1828166
- 负责人:
- 金额:$ 19.22万
- 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:2018-08-01 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award is to purchase a Dynamic Imaging Particle Analyzer (DIPA) for research and training associated with particles in water at Montclair State University (MSU). The DIPA is capable of accurately and rapidly counting and characterizing particles in water. It will serve as a core instrument for two MSU's existing research areas: 1) the development of innovative water treatment technologies for the removal of various water pollutants and 2) the identification and characterization of algae in natural freshwater. Furthermore, the DIPA will be used to open new research opportunities for MSU, including the measurement of storm water runoff particulates related to soil erosion and the development of emergency water treatment for natural disasters. The DIPA will be shared among MSU faculty, research staff, and students across different departments and programs. The instrument will also be used for educational and outreach purposes.Particulate matters (PMs), such as clays and algal cells, can significantly degrade the quality of engineered and natural water systems. Occasionally, PMs (e.g. flocs from coagulant addition) are intentionally produced for removing undesirable water contaminants (e.g. colloids). Accurate and rapid analyses of these PMs are key to the success of MSU's core research areas in water treatment and freshwater phytoplankton. The proposed DIPA will provide a real-time and non-invasive way to image, count, and characterize PMs in water. This instrument will enable new research opportunities for multiple programs at MSU, particularly environmental engineering, environmental science, ecology, biology, and chemistry. The instrument will also be used for the Passaic River Institute's public education on recreational water safety.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.
该奖项是购买一个动态成像颗粒分析仪(DIPA)的研究和培训有关的颗粒在蒙特克莱尔州立大学(MSU)。DIPA能够准确、快速地计数和表征水中的颗粒。它将作为密歇根州立大学现有两个研究领域的核心工具:1)开发用于去除各种水污染物的创新水处理技术,2)识别和表征天然淡水中的藻类。此外,DIPA将用于为密歇根州立大学开辟新的研究机会,包括测量与土壤侵蚀有关的雨水径流颗粒,以及开发自然灾害应急水处理。DIPA将在MSU教师,研究人员和不同部门和项目的学生之间共享。该仪器还将用于教育和推广目的。颗粒物(PM),如粘土和藻类细胞,可以显著降低工程和天然水系统的质量。有时,会故意产生PM(例如,添加混凝剂产生的絮体),以去除不需要的水污染物(例如,胶体)。这些PM的准确和快速分析是密歇根州立大学在水处理和淡水浮游植物核心研究领域取得成功的关键。拟议的DIPA将提供一种实时和非侵入性的方式来成像,计数和表征水中的PM。该仪器将为MSU的多个项目提供新的研究机会,特别是环境工程,环境科学,生态学,生物学和化学。该仪器还将用于帕塞伊克河研究所的公共教育娱乐用水安全。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
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)
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Yang Deng其他文献
Synchronizability of Two-Layer Cluster Ring Networks
两层簇环网的同步性
- DOI:
10.4236/cn.2019.112004 - 发表时间:
2019-04 - 期刊:
- 影响因子:0
- 作者:
Yang Deng;Zhen Jia;Lin Liao - 通讯作者:
Lin Liao
Joint decision-making model of preventive maintenance and delayed monitoring SPC based on imperialist competitive algorithm
基于帝国主义竞争算法的预防性维护与延迟监测SPC联合决策模型
- DOI:
10.3233/jifs-211853 - 发表时间:
2021-10 - 期刊:
- 影响因子:0
- 作者:
Yan Zhang;Shiyu Li;Yang Deng;Honggen Chen;Xin Yan;Jing Li - 通讯作者:
Jing Li
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information
基于深度学习和频域信息的桥梁结构健康监测数据质量评估
- DOI:
10.1177/14759217221138724 - 发表时间:
2022-12 - 期刊:
- 影响因子:0
- 作者:
Yang Deng;Hanwen Ju;Guoqiang Zhong;Aiqun Li - 通讯作者:
Aiqun Li
Recovery of Abnormal Data for Bridge Structural Health Monitoring Based on Deep Learning and Temporal Correlation
基于深度学习和时间相关性的桥梁结构健康监测异常数据恢复
- DOI:
10.18494/sam4000 - 发表时间:
2022-12 - 期刊:
- 影响因子:1.2
- 作者:
Hanwen Ju;Yang Deng;Wenqiang Zhai;Aiqun Li - 通讯作者:
Aiqun Li
Mechanisms and performance of calcium peroxide-enhanced Fe(ii) coagulation for treatment of Microcystis aeruginosa-laden water
过氧化钙增强 Fe(ii) 混凝处理铜绿微囊藻水体的机理和性能
- DOI:
10.1039/d0ew00005a - 发表时间:
2020-05 - 期刊:
- 影响因子:5
- 作者:
Huaijia Xin;Shu Yang;Yulin Tang;Mengyi Wu;Yang Deng;Bin Xu;Naiyun Gao - 通讯作者:
Naiyun Gao
Yang Deng的其他文献
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{{ truncateString('Yang Deng', 18)}}的其他基金
Collaborative Research: RAPID: Assessing the Resilience of Centralized and Decentralized Water Supply Infrastructure to Hurricane Fiona in Puerto Rico
合作研究:RAPID:评估集中式和分散式供水基础设施对波多黎各飓风菲奥娜的恢复能力
- 批准号:
2304819 - 财政年份:2022
- 资助金额:
$ 19.22万 - 项目类别:
Standard Grant
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