EAGER: I-Corps: Smart Water Systems

EAGER:I-Corps:智能供水系统

基本信息

项目摘要

Flooding is the leading cause of natural disaster fatalities and property damage across the United States. Mitigating water risks poses a serious challenge to water managers, companies, and home owners. This includes risk related to disaster response, stormwater infrastructure construction, and the management of water quality. Successful execution of this I-Corps project will result in new tools to address the challenges faced by the United States in the face of water disasters. This project will result in 'smart' water tools that address the management of water risk by investigating new methods based on data, analytics and sensing. This will reduce the risk associated with making decision in regard to flood forecasting, planning, and infrastructure construction. The project will also result in new jobs and workforce training as part of an emerging 'smart' water sector.This I-Corps project will investigate the economic value of water information. The project will engage with decision makers, including water managers, energy producers, and agricultural managers. A series of interviews will be conducted to improve the understanding of water challenges and risks faced by these parties. A focus will be placed on the role of information technologies, such as sensors, autonomous systems, and artificial intelligence tools. By quantifying water risk and improving the understanding of uncertainty, the project will provide new insights into the barriers that stand in the way of technology adoption in the water sector. The outcome of the project will transform the fundamental understanding of the role of 'smart' technologies in managing water resources.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.
洪水是造成美国各地自然灾害死亡和财产损失的主要原因。缓解水风险对水管理者、公司和业主来说是一个严峻的挑战。这包括与灾害应对、雨水基础设施建设和水质管理相关的风险。这一i-Corps项目的成功实施将带来新的工具,以应对美国在面对水灾时面临的挑战。该项目将开发“智能”水工具,通过研究基于数据、分析和传感的新方法来解决水风险管理问题。这将减少在洪水预报、规划和基础设施建设方面做出决策的风险。该项目还将带来新的就业机会和劳动力培训,作为新兴的“智能”水务部门的一部分。这个i-Corps项目将调查水信息的经济价值。该项目将与决策者接触,包括水资源管理者、能源生产者和农业管理者。将进行一系列访谈,以增进对这些缔约方面临的水挑战和风险的了解。重点将放在信息技术的作用上,如传感器、自主系统和人工智能工具。通过量化水风险和改善对不确定性的理解,该项目将对阻碍水部门采用技术的障碍提供新的见解。该项目的成果将改变对“智能”技术在水资源管理中作用的基本理解。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势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)
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Branko Kerkez其他文献

Generating interpretable rainfall-runoff models automatically from data
从数据中自动生成可解释的降雨径流模型
  • DOI:
    10.1016/j.advwatres.2024.104796
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
    4.200
  • 作者:
    Travis Adrian Dantzer;Branko Kerkez
  • 通讯作者:
    Branko Kerkez
Detroit River phosphorus loads: Anatomy of a binational watershed
  • DOI:
    10.1016/j.jglr.2019.09.008
  • 发表时间:
    2019-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Donald Scavia;Serghei A. Bocaniov;Awoke Dagnew;Yao Hu;Branko Kerkez;Colleen M. Long;Rebecca L. Muenich;Jennifer Read;Lynn Vaccaro;Yu-Chen Wang
  • 通讯作者:
    Yu-Chen Wang
Are all data useful? Inferring causality to predict flows across sewer and drainage systems using directed information and boosted regression trees
  • DOI:
    10.1016/j.watres.2018.09.009
  • 发表时间:
    2018-11-15
  • 期刊:
  • 影响因子:
  • 作者:
    Yao Hu;Donald Scavia;Branko Kerkez
  • 通讯作者:
    Branko Kerkez
<em>Teamwork without talking:</em> distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages
  • DOI:
    10.1016/j.wroa.2024.100287
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Travis Adrian Dantzer;Branko Kerkez
  • 通讯作者:
    Branko Kerkez
An automated toolchain for the data-driven and dynamical modeling of combined sewer systems
  • DOI:
    10.1016/j.watres.2017.08.065
  • 发表时间:
    2017-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sara C. Troutman;Nathaniel Schambach;Nancy G. Love;Branko Kerkez
  • 通讯作者:
    Branko Kerkez

Branko Kerkez的其他文献

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{{ truncateString('Branko Kerkez', 18)}}的其他基金

CIVIC-PG Track A: Smart Watersheds for Conservation and Resilience
CIVIC-PG 轨道 A:保护和恢复力的智能流域
  • 批准号:
    2228343
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: Reimagining Urban Watershed Management: A Systems Approach to Stormwater Control and Ecological Rehabilitation
合作研究:重新构想城市流域管理:雨水控制和生态恢复的系统方法
  • 批准号:
    2204893
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: Toward a theory for smart stormwater systems
职业:智能雨水系统理论
  • 批准号:
    1750744
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
SCC-IRG Track 1: Overcoming Social and Technical Barriers for the Broad Adoption of Smart Stormwater Systems
SCC-IRG 第 1 轨道:克服社会和技术障碍,广泛采用智能雨水系统
  • 批准号:
    1737432
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
EarthCube Building Blocks: Collaborative Proposal: An Expanded Implementation of Cloud-Hosted Real-Time Data Services for the Geosciences (CHORDS)
EarthCube 构建模块:协作提案:地球科学云托管实时数据服务 (CHORDS) 的扩展实施
  • 批准号:
    1639640
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
EarthCube Building Blocks: Collaborative Proposal: Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)
EarthCube 构建模块:协作提案:地球科学云托管实时数据服务 (CHORDS)
  • 批准号:
    1440116
  • 财政年份:
    2014
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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