Where the runoff begins: rethinking the role of impervious area in urban stormwater management

径流开始的地方：重新思考不透水区域在城市雨水管理中的作用

• 批准号: 2050986
• 负责人: Hua Zhang
• 金额: $ 20万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050986&HistoricalAwards=false
• 关键词: Where; runoff; begins; rethinking; role

Information on watershed imperviousness has been widely used for assessing the hydrologic and environmental impacts of urbanization, developing urban hydrologic and water quality models, and designing stormwater management strategies ranging from drainage charge to green infrastructure across the world. The description of watershed imperviousness has relied on the concepts of total impervious area and effective impervious area. Both of these are lumped and static measures that emphasize the extent of imperviousness, but they lack consideration of the spatial pattern of various impervious surfaces. This knowledge gap affects the reliability of hydrologic models that tend to conceptualize pervious and impervious surfaces as two lumped components with no interactions. This project aims to answer: 1) How do spatial heterogeneity and hydrologic connectivity of impervious surfaces affect stormwater runoff in small urban watersheds? 2) How can the understanding of this mechanism benefit the modeling of stormwater runoff? This project conceptualizes the impervious source area (ISA) of stormwater runoff as a combination of a constant component and a dynamic component with its hydrologic connectivity affected by pervious surfaces. The research methods highlight the use of small uncrewed aircraft systems (UAS) in land cover classification and flow direction analysis with centimeter-level spatial resolution. Using Corpus Christi in south Texas as an urban laboratory, the project efforts will consist of seven interlinked research tasks across three phases, starting with aerial and ground data collection, transitioning into the progressive characterization of ISA through an integrated geospatial-hydrologic framework, and culminating in the development of a new three-component CN model that can utilize remote sensing data at different levels. The findings of this project will lead to a spatially explicit understanding of the effect of impervious surfaces on stormwater runoff processes and provide an improved scientific basis for developing reliable stormwater management strategies. Undergraduate students will be integrated into the research team. TAMU-CC is a predominantly minority serving university and this project will provide URM undergraduate and graduate students in these programs with a variety of training and learning opportunities, which will serve TX workforce needs in the areas of water resources and civil engineering. The project team will participate in TAMU-CC's UAS Summer Camp program that aims to train local high school students and promote their interest in STEM fields related to UAS research. Scientific data and tools of this project will be disseminated through an interactive online platform developed using WebGIS and Google Earth API techniques. The project team will produce a set of videos to introduce the use of UAS and remote sensing in engineering hydrology and stormwater management. The project team will collaborate with the City of Corpus Christi to enhance its stormwater education program.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.

关于流域不透水性的信息已被广泛用于评估城市化的水文和环境影响，开发城市水文和水质模型，以及设计世界各地从排水收费到绿色基础设施的雨水管理战略。流域不透水性的描述依赖于总不透水面积和有效不透水面积的概念。这两种方法都是集中和静态的措施，强调不透水的程度，但它们缺乏对各种不透水表面的空间格局的考虑。这种知识差距影响了水文模型的可靠性，往往概念化的透水和不透水的表面作为两个集总组件没有相互作用。该项目旨在回答：1）不透水面的空间异质性和水文连通性如何影响城市小流域的暴雨径流？2)如何理解这一机制有利于雨水径流的模拟？该项目将雨水径流的不透水源区（伊萨）概念化为恒定分量和动态分量的组合，其水文连通性受透水表面的影响。研究方法强调使用小型无人机系统（UAS）在土地覆盖分类和流向分析与厘米级的空间分辨率。利用得克萨斯州南部的科珀斯克里斯蒂作为城市实验室，项目工作将包括跨越三个阶段的七项相互关联的研究任务，从空中和地面数据收集开始，过渡到通过综合地理空间水文框架逐步描述伊萨的特征，并最终开发一个新的三部分CN模型，该模型可以在不同级别利用遥感数据。该项目的研究结果将导致一个空间上明确的理解的影响，不透水的表面雨水径流过程，并提供了一个更好的科学基础，制定可靠的雨水管理策略。本科生将融入研究团队。TAMU-CC是一所以少数民族为主的大学，该项目将为URM的本科生和研究生提供各种培训和学习机会，这将满足德克萨斯州在水资源和土木工程领域的劳动力需求。项目团队将参加TAMU-CC的UAS夏令营计划，该计划旨在培训当地高中生，并促进他们对与UAS研究相关的STEM领域的兴趣。该项目的科学数据和工具将通过利用网络地理信息系统和谷歌地球API技术开发的互动式在线平台传播。项目小组将制作一套视频，介绍无人机系统和遥感在工程水文学和雨水管理中的应用。该项目团队将与科珀斯克里斯蒂市合作，以加强其雨水教育计划。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知识价值和更广泛的影响审查标准进行评估的支持。

项目成果

Integrated coastal subsidence analysis using InSAR, LiDAR, and land cover data

• DOI: 10.1016/j.rse.2022.113297
• 发表时间: 2022-12
• 期刊: Remote Sensing of Environment
• 影响因子: 13.5
• 作者: W. Zhong;T. Chu;P. Tissot;Zhenming Wu;Jie Chen;Hua Zhang

Aerial Characterization of Surface Depressions in Urban Watersheds

• DOI: 10.1016/j.jhydrol.2023.129954
• 发表时间: 2023-07
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Lapone Techapinyawat;Ian Goulden-Brady;Hannah Garcia;Hua Zhang