ERI: Effects of urban water infrastructure and proximate soil profiles on coupled surface-subsurface hydrology

ERI:城市供水基础设施和邻近土壤剖面对地表-地下耦合水文的影响

基本信息

  • 批准号:
    2347541
  • 负责人:
  • 金额:
    $ 19.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-03-15 至 2026-02-28
  • 项目状态:
    未结题

项目摘要

Urban flooding and water quality issues are putting pressure on urban water infrastructure. In the next two decades, hundreds of billions of dollars will be invested in the repair and enhancement of wastewater, stormwater, and combined sewer systems to address challenges arising from urbanization and climate change in the United States. This infrastructure is “leaky” and, therefore, interacts with the surrounding soils and the water cycle. However, the associated hydrologic processes, i.e., subsurface flows of drinking water, stormwater, and groundwater, are often overlooked or insufficiently characterized in urban watershed studies. Do leaky sanitary and storm sewers recharge or discharge water from the watershed? How will a shift from gray to green stormwater infrastructure impact stormwater retention in watersheds with leaky sewers underneath? Addressing the lack of fundamental scientific knowledge on how urban water infrastructure affects surface-subsurface hydrologic processes is imperative to making effective and resilient water infrastructure investments. The purpose of this work is to evaluate the effect of urban soil profiles and water distribution and collection infrastructure on urban water balances, improve urban hydrologic models to better quantify the costs and benefits of infrastructure rehabilitation, and ultimately contribute to the goal of developing resilient and reliable urban water systems. The project will provide an efficient modeling tool to the urban drainage and hydrology community, enhance industry-research collaboration in drainage and water resources in the Midwest, and develop an “Urban Hydrology and Stormwater Management” curriculum that is available to undergraduate and graduate students across the University of Minnesota campuses.The sustainability and resilience of urban water systems is limited by poor understanding of subsurface hydrologic processes that control flood generation and how they are impacted by urban soil profiles and water distribution and collection infrastructure. These subsurface flows of drinking water, stormwater, wastewater, and groundwater are less characterized in most hydrologic studies and urban hydrologic models. Therefore, there is an urgent need to quantify subsurface hydrologic processes and their interaction with surface infiltration-runoff partitioning in urban watersheds. This project will quantify the effects of urban soil profiles and water distribution and collection infrastructure on event-scale runoff generation and longterm water balances. This will be achieved by integrating soil profile surveys with hydrologic model simulations. First, this work will characterize the soil profiles near water distribution and collection system pipes through soil core sampling and hydraulic profiling. Then, this work will develop a surface-subsurface hydrologic model parameterization that can represent infiltration and exfiltration fluxes between water infrastructure and the unsaturated/saturated zones. Lastly, this work will evaluate the relative effects of soil profiles and sewer pipe conditions and layouts on flood response and long-term water balances through hypothetical simulations at lot and catchment scales. This study focuses on urban watersheds in Milwaukee, WI, while the approach and results are applicable across other urban watersheds in the United States.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.
城市洪水和水质问题给城市水基础设施带来了压力。在接下来的二十年中,将投资数千亿美元用于维修和增强废水,雨水和联合下水道系统,以应对美国城市化和气候变化引起的挑战。该基础设施是“泄漏”的,因此与周围的土壤和水周期相互作用。但是,相关的水文过程,即饮用水,雨水和地下水的地下流,通常在城市流域研究中被忽略或不足以表征。漏水和下水道漏水或从流域排出水吗?从灰色到绿色的雨水基础设施的转变会如何影响下面有漏水的流域中的雨水保留?关于缺乏关于城市水基础设施如何影响表面露出水文过程的基本科学知识,对于进行有效且有弹性的水基础设施投资至关重要。这项工作的目的是评估城市土壤概况,水分配以及收集基础设施对城市水平平衡的影响,改善城市水文模型,以更好地量化基础设施康复的成本和收益,并最终有助于开发弹性和可靠的城市水系统。该项目将为城市排水和水文学社区提供有效的建模工具,增强中西部地区的排水和水资源方面的行业研究协作,并开发“城市水文学和雨水管理”课程,可用于在明尼苏达大学校园内部限制的水分和弹性,从而可以在本科生和研究生中培养洪水的范围。通过城市土壤概况,水分配以及收集基础设施。这些饮用水,雨水,废水和地下水的地下流在大多数水文研究和城市水文模型中的特征较低。因此,迫切需要量化地下水文过程及其与城市流域中表面浸润跑分区的相互作用。该项目将量化城市土壤概况,水分配以及收集基础设施对事件规模径流产生和长期水平衡的影响。这将通过将土壤剖面调查与水文模型模拟整合在一起来实现。首先,这项工作将通过土壤核心采样和水解分析来表征水分布和收集系统管道附近的土壤剖面。然后,这项工作将开发出表面表面的水文模型参数化,该参数化可以代表水基础设施和不饱和/饱和区域之间的浸润和渗透通量。最后,这项工作将通过假设的批次和集水量表来评估土壤概况和下水道条件的相对影响以及布局对洪水反应和长期水平衡的影响。这项研究的重点是威斯康星州密尔沃基市的城市流域,而该方法和结果适用于美国的其他城市分水岭。该奖项反映了NSF的法定任务,并通过使用基金会的知识分子优点和更广泛的影响审查标准来通过评估来诚实地认为通过评估。

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)

暂无数据

数据更新时间:2024-06-01

Kun Zhang其他文献

Indoor Sound Source Localization Algorithm Based on BP Neural Network
An Improvement of Matrix-based Clustering Method for Grouping Learners in E-Learning
电子学习中基于矩阵的聚类学习者分组方法的改进
Discrepant responses between evapotranspiration- and transpiration-based ecosystem water use efficiency to interannual precipitation fluctuations
基于蒸散和基于蒸腾的生态系统水分利用效率对年际降水波动的响应差异
  • DOI:
    10.1016/j.agrformet.2021.108385
    10.1016/j.agrformet.2021.108385
  • 发表时间:
    2021-06
    2021-06
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Chunjie Gu;Qiuhong Tang;Gaofeng Zhu;Jinzhu Ma;Chunli Gu;Kun Zhang;Shuang Sun;Qiang Yu;Shuli Niu
    Chunjie Gu;Qiuhong Tang;Gaofeng Zhu;Jinzhu Ma;Chunli Gu;Kun Zhang;Shuang Sun;Qiang Yu;Shuli Niu
  • 通讯作者:
    Shuli Niu
    Shuli Niu
Series of Highly Luminescent Macrocyclic Sm(III) Complexes: Functional Group Modifications Together with Luminescence Performances in Solid-State, Solution, and Doped Poly(methylmethacrylate) Film
系列高发光大环 Sm(III) 配合物:官能团修饰以及固态、溶液和掺杂聚甲基丙烯酸甲酯薄膜中的发光性能
  • DOI:
    10.1021/acsomega.9b02576
    10.1021/acsomega.9b02576
  • 发表时间:
    2019
    2019
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Kun Zhang;Ze-Ying Lu;Cheng-Cheng Feng;Zhuo-Ran Yang;Peng-Peng Nie;Ting-Ting Chen;Lin-Feng Zhang;Shuang Ma;Yin-Jing Shen;Meng-Lu Lin
    Kun Zhang;Ze-Ying Lu;Cheng-Cheng Feng;Zhuo-Ran Yang;Peng-Peng Nie;Ting-Ting Chen;Lin-Feng Zhang;Shuang Ma;Yin-Jing Shen;Meng-Lu Lin
  • 通讯作者:
    Meng-Lu Lin
    Meng-Lu Lin
Rapid growth of TiO2 nanotubes under the compact oxide layer: Evidence against the digging manner of dissolution reaction
致密氧化层下二氧化钛纳米管的快速生长:溶解反应挖掘方式的证据
  • DOI:
    10.1016/j.elecom.2019.05.015
    10.1016/j.elecom.2019.05.015
  • 发表时间:
    2019-06
    2019-06
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Kun Zhang;Shikai Cao;Chen Li;Jiarui Qi;Longfei Jiang;Jiajun Zhang;Xufei Zhu
    Kun Zhang;Shikai Cao;Chen Li;Jiarui Qi;Longfei Jiang;Jiajun Zhang;Xufei Zhu
  • 通讯作者:
    Xufei Zhu
    Xufei Zhu
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前往

Kun Zhang的其他基金

Collaborative Research: GEM--How Upstream Solar Wind Conditions Determine the Properties of the Foreshock Backstreaming Ions
合作研究:GEM——上游太阳风条件如何决定前震回流离子的特性
  • 批准号:
    2420710
    2420710
  • 财政年份:
    2023
  • 资助金额:
    $ 19.98万
    $ 19.98万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: GEM--How Upstream Solar Wind Conditions Determine the Properties of the Foreshock Backstreaming Ions
合作研究:GEM——上游太阳风条件如何决定前震回流离子的特性
  • 批准号:
    2247758
    2247758
  • 财政年份:
    2023
  • 资助金额:
    $ 19.98万
    $ 19.98万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Causal Discovery in the Presence of Measurement Error Theory and Practical Algorithms
协作研究:测量误差理论和实用算法存在下的因果发现
  • 批准号:
    1829681
    1829681
  • 财政年份:
    2018
  • 资助金额:
    $ 19.98万
    $ 19.98万
  • 项目类别:
    Standard Grant
    Standard Grant
Dimensions: Collaborative research: Biological controls of the ocean C:N:P ratios
维度:合作研究:海洋 C:N:P 比率的生物控制
  • 批准号:
    1046368
    1046368
  • 财政年份:
    2011
  • 资助金额:
    $ 19.98万
    $ 19.98万
  • 项目类别:
    Standard Grant
    Standard Grant

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