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

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.
随着美国和全球范围内的极端天气事件(例如大雨和洪水)等极端天气事件的频率和强度,迫切需要对新的实验和计算工具的迫切需求,以促进促进基本的科学和工程知识,以表征,理解和减轻大雨以及洪水对水质和水质的不利影响。该NSF MRI Track 2奖将使Villanova University(VU)获得单向沉积物倾斜水槽(USTF)。该新工具将使VU及其学术,市政和工业伙伴能够对城市绿色雨水基础设施,河流过程,减少城市洪水以及对建筑城市环境的影响进行迫切需要研究。 USTF将以两个主要主题与合作伙伴机构促进合作研究和教育:1)绿色城市雨水基础设施,以及2)河流过程和对城市环境的影响。获得USTF还将在水资源工程,地理环境工程,地球化学和地貌学上的本科,研究生和专业水平的教育和培训,以及促进研究合作并增加与学术,市政和行业党的参与度。随着极端天气事件(例如大雨和洪水的增加)的频率和强度,管理城市雨水已成为美国许多城市的关键挑战。雨水加剧了与洪水,沉积物,营养和污染物运输有关的环境影响,从而对城市环境和公共卫生产生不利影响。绿色雨水基础设施(GSI)为在城市和城市地区管理雨水提供了有希望的和具有成本效益的解决方案。 GSI由拦截雨水,将一部分渗入地面的综合土壤,水和植物系统组成,并将其中一部分慢慢释放到下水道系统中。该NSF MRI Track 2奖将使Villanova University能够使用自定义插入物来模拟GSI的单向沉积物倾斜水槽(USTF)系统。 USTF将用于研究城市雨水基础设施,河流过程,减轻城市洪水的影响以及对建筑城市环境的影响,而这些城市环境本来是通过现场研究或计算模型无法实现的。该项目的合作性质将使Villanova,Temple University,俄亥俄州立大学,马里兰州大学,德雷克塞尔大学,新泽西大学,宾夕法尼亚州立大学哈里斯堡大学和丹尼森大学的学生能够共同努力,从而进一步从事项目,进一步发展其教育和研究经验。该项目还将涉及与公共公用事业(费城水务部)和工程公司的合作/伙伴关系认为值得通过基金会的智力优点和更广泛影响的评论标准来评估值得支持。

项目成果

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Virginia Smith其他文献

Guardrail Baselines for Unlearning in LLMs
法学硕士遗忘的护栏基线
  • DOI:
    10.48550/arxiv.2403.03329
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pratiksha Thaker;Yash Maurya;Virginia Smith
  • 通讯作者:
    Virginia Smith
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
针对不正确合成数据的强化学习将 LLM 数学推理的效率提高了八倍
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amrith Rajagopal Setlur;Saurabh Garg;Xinyang Geng;Naman Garg;Virginia Smith;Aviral Kumar
  • 通讯作者:
    Aviral Kumar
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
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
Power and Participation in the Workplace
工作场所的权力和参与

Virginia Smith的其他文献

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{{ truncateString('Virginia Smith', 18)}}的其他基金

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
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
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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Equipment: MRI: Track 2 Acquisition of a Novel Performance-Driven 3D Imaging System for Extremely Noisy Objects (NPIX)
设备: MRI:第 2 道采购新型性能驱动的 3D 成像系统,用于极噪物体 (NPIX)
  • 批准号:
    2319708
  • 财政年份:
    2023
  • 资助金额:
    $ 141.3万
  • 项目类别:
    Continuing Grant
Equipment: MRI Track 1: Acquisition of Flow Cytometer
设备:MRI 轨道 1:流式细胞仪的购置
  • 批准号:
    2320130
  • 财政年份:
    2023
  • 资助金额:
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  • 项目类别:
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Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
  • 批准号:
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Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
  • 批准号:
    2320405
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设备:MRI:轨道 1:购买 Zeiss 560 VP FE-SEM,用于化学和表面表征和培训。
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    2320480
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