Equipment: MRI: Track 2 Acquisition of a Hydraulic and Sediment Recirculation Flume to Advance Fundamental Research in Urban Stormwater and Fluvial Processes
设备: MRI:轨道 2 获取水力和沉积物再循环水槽,以推进城市雨水和河流过程的基础研究
基本信息
- 批准号:2320356
- 负责人:
- 金额:$ 141.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
As the frequency and intensity of extreme weather events such as heavy rains and floods increase in the United States and worldwide, there is an urgent and critical need for new experimental and computational tools to advance the fundamental science and engineering knowledge needed to characterize, understand, and mitigate the adverse impact of heavy rains and floods on water quality and availability. This NSF MRI Track 2 award will enable Villanova University (VU) to acquire a Unidirectional Sediment-feed Tilting Flume (USTF). This new instrument will enable VU and its academic, municipal, and industrial partners to carry out critically needed research on urban green stormwater infrastructure, fluvial processes, urban flood mitigation, and impacts on built urban environments. The USTF will facilitate collaborative research and education with the partner institutions in two major themes: 1) green urban stormwater infrastructure, and 2) river processes and impacts on urban environments. The acquisition of the USTF will also support education and training at the undergraduate, graduate, and professional levels in water resources engineering, geo-environmental engineering, geochemistry, and geomorphology, as well as facilitate research collaborations and increase engagement with academic, municipal, and industry partners. Managing urban stormwater has emerged as a critical challenge for many cities in the United States as the frequency and intensity of extreme weather events such as heavy rains and floods increase. Stormwater worsens environmental impacts related to flooding, sediment, nutrient, and pollutant transport that adversely impact the urban environment and public health. Green stormwater infrastructure (GSI) provides promising and cost-effective solutions for managing stormwater in cities and urban areas. GSI consists of integrated soil, water, and plant systems that intercept stormwater, infiltrate a portion of it into the ground, and release a portion of it slowly back into sewer systems. This NSF MRI Track 2 award will enable Villanova University to acquire a Unidirectional Sediment-Feed Tilting Flume (USTF) system with custom inserts to simulate GSI. The USTF will be used to study urban stormwater infrastructure, fluvial processes, urban flood mitigation, and impacts on built urban environments that are otherwise unattainable through field studies or computational models alone. The collaborative nature of this project will enable students from Villanova, Temple University, Ohio State University, University of Maryland, Drexel University, The College of New Jersey, Pennsylvania State University-Harrisburg, and Denison University to work together on projects, furthering their educational and research experiences. The project will also involve collaborations/partnerships with a public utility (Philadelphia Water Department) and engineering firms including Aterra Solutions, Herbert, Rowland & Grubic, NTM Engineering, Princeton Hydro, Schnabel Engineering, and WSP Global.This award was jointly funded by the NSF MRI and the CBET Environmental Engineering programs.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.
随着美国和世界各地暴雨和洪水等极端天气事件的频率和强度增加,迫切需要新的实验和计算工具来推进表征、理解、减轻暴雨和洪水对水质和可用性的不利影响。 NSF MRI Track 2 奖项将使维拉诺瓦大学 (VU) 能够获得单向沉积物倾斜水槽 (USTF)。这一新工具将使维多利亚大学及其学术、市政和工业合作伙伴能够针对城市绿色雨水基础设施、河流过程、城市洪水缓解以及对城市建成环境的影响开展急需的研究。 USTF 将促进与合作机构在两大主题上的合作研究和教育:1)绿色城市雨水基础设施,2)河流过程及其对城市环境的影响。收购 USTF 还将支持水资源工程、地球环境工程、地球化学和地貌学方面的本科生、研究生和专业水平的教育和培训,并促进研究合作并增加与学术界、市政府和政府部门的接触。行业合作伙伴。随着暴雨和洪水等极端天气事件的频率和强度增加,管理城市雨水已成为美国许多城市面临的严峻挑战。雨水加剧了与洪水、沉积物、营养物和污染物输送相关的环境影响,对城市环境和公众健康产生不利影响。绿色雨水基础设施(GSI)为城市和城市地区的雨水管理提供了有前途且具有成本效益的解决方案。 GSI 由综合土壤、水和植物系统组成,拦截雨水,将一部分渗入地下,并将一部分缓慢释放回下水道系统。 NSF MRI Track 2 奖项将使维拉诺瓦大学能够获得带有定制插件的单向沉积物倾斜水槽 (USTF) 系统,以模拟 GSI。 USTF 将用于研究城市雨水基础设施、河流过程、城市洪水缓解以及对城市建成环境的影响,而这些是仅通过实地研究或计算模型无法实现的。该项目的协作性质将使来自维拉诺瓦大学、坦普尔大学、俄亥俄州立大学、马里兰大学、德雷克塞尔大学、新泽西学院、宾夕法尼亚州立大学哈里斯堡分校和丹尼森大学的学生能够在项目上合作,进一步提高他们的教育水平和研究经历。该项目还将涉及与公用事业公司(费城水务局)和工程公司的合作/伙伴关系,包括 Aterra Solutions、Herbert、Rowland & Grubic、NTM Engineering、Princeton Hydro、Schnabel Engineering 和 WSP Global。该奖项由NSF MRI 和 CBET 环境工程项目。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。
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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Virginia Smith其他文献
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
现在每个人都修剪:仅使用前向传播的法学硕士结构化修剪
- DOI:
10.48550/arxiv.2402.05406 - 发表时间:
2024-02-08 - 期刊:
- 影响因子:0
- 作者:
L. Dery;Steven Kolawole;Jean;Virginia Smith;Graham Neubig;Ameet Talwalkar - 通讯作者:
Ameet Talwalkar
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
Grass:使用结构化稀疏梯度计算高效的低内存 LLM 训练
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Aashiq Muhamed;Oscar Li;David Woodruff;Mona Diab;Virginia Smith - 通讯作者:
Virginia Smith
Conjugated polymers with regularly spaced m‐phenylene units and post‐polymerization modification to yield stimuli‐responsive materials
具有规则间隔的间亚苯基单元的共轭聚合物和聚合后修饰以产生刺激响应材料
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Ashley A. Buelt;C. A. Conrad;William D. Mackay;M. Shehata;Virginia Smith;Rhett C. Smith - 通讯作者:
Rhett C. Smith
Is Support Set Diversity Necessary for Meta-Learning?
支持集多样性对于元学习是必要的吗?
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Amrith Rajagopal Setlur;Oscar Li;Virginia Smith - 通讯作者:
Virginia Smith
Private Adaptive Optimization with Side Information
带有辅助信息的私有自适应优化
- DOI:
- 发表时间:
2022-02-12 - 期刊:
- 影响因子:0
- 作者:
Tian Li;M. Zaheer;Sashank J. Reddi;Virginia Smith - 通讯作者:
Virginia Smith
Virginia Smith的其他文献
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{{ truncateString('Virginia Smith', 18)}}的其他基金
Planning: SCC-PG: Smart, Sustainable, and Equitable Green Stormwater Systems in Urban Communities
规划:SCC-PG:城市社区智能、可持续和公平的绿色雨水系统
- 批准号:
2228035 - 财政年份:2022
- 资助金额:
$ 141.3万 - 项目类别:
Standard Grant
Planning: SCC-PG: Smart, Sustainable, and Equitable Green Stormwater Systems in Urban Communities
规划:SCC-PG:城市社区智能、可持续和公平的绿色雨水系统
- 批准号:
2228035 - 财政年份:2022
- 资助金额:
$ 141.3万 - 项目类别:
Standard Grant
CAS- Climate: CDS&E: Facilitating Sustainable and Fair Transformation of GSI through AI
CAS-气候:CDS
- 批准号:
2152834 - 财政年份:2022
- 资助金额:
$ 141.3万 - 项目类别:
Standard Grant
CAREER: Foundations of Federated Multi-Task Learning
职业:联合多任务学习的基础
- 批准号:
2145670 - 财政年份:2022
- 资助金额:
$ 141.3万 - 项目类别:
Continuing Grant
Collaborative Research: An Inter-disciplinary Approach to Constraining Paleo-geomorphic Responses to the Eocene-Oligocene Hothouse to Icehouse Transition
合作研究:限制始新世-渐新世温室向冰室转变的古地貌响应的跨学科方法
- 批准号:
1844180 - 财政年份:2019
- 资助金额:
$ 141.3万 - 项目类别:
Standard Grant
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