CRISP: Type 2/Collaborative Research: Design and Control of Coordinated Green and Gray Water Infrastructure to Improve Resiliency in Chemical and Agricultural Sectors

CRISP：类型 2/合作研究：协调绿水和灰水基础设施的设计和控制，以提高化学和农业部门的弹性

• 批准号: 1735579
• 负责人: John Sabo
• 金额: $ 187.5万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735579&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Design

Scientists, along with the public and private sectors, are abuzz with the potential for "green infrastructure," an approach for water management that protects, restores, or mimics the natural water cycle. This approach is economical: Wetland construction or restoration can be far more cost effective than building a new water treatment plant. Green infrastructure also lessens manufacturing risks, while it enhances community safety and quality of life. For example, restored wetlands would improve water reliability for manufacturers, create habitats and open spaces for wildlife, and dampen the risks of drought and floods on public water supplies. The big, unanswered question about green infrastructure is whether managers would be better able to control water systems if green infrastructure was coupled with traditional gray infrastructure, such as reservoir operations. Modeling, data, and decision-support tools for blending gray and green water infrastructure, however, do not yet exist. This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project advances a modelling framework that couples gray and green water infrastructure systems and processes. The project also incorporate the effects of economically motivated human players into the coupled system. Specifically, this collaboration of scientists and water managers aims to minimize the impacts of extreme weather (drought and flood) on infrastructure processes in the chemical, petroleum, and agricultural sectors along the coastal basins of Texas. This work leads to: (1) A knowledge exchange between water-rights holders and regulators, including between private and public-sector actors. (2) An online learning platform to disseminate project results into curricula to train corporate sustainability officers and river authorities. (3) Training at least three graduate students, three postdocs, and many undergraduate students, including some from a minority-serving institution (Texas A&M University at Kingsville), and nurturing the collaboration between Arizona State and Texas A&M at Kingsville Universities.The big, unanswered question about green infrastructure is whether the benefits - improved base flow reliability, damped peak flows, local storage - might be better controlled by being coupled to traditional gray infrastructure, such as reservoir operations. Modeling, data, and decision-support tools for blending gray and green water infrastructure do not exist at present. This project advances a control-theory framework that couples gray and green infrastructure subsystems and processes, and explicitly incorporates the effects of economically motivated human players into the system. The project framework minimizes the negative effects of extreme weather (drought and flood) on infrastructure processes in the chemical, petroleum, and agricultural sectors of the coastal basins of Texas. The work includes an integrated analysis of grey infrastructure for water storage and conveyance along with green infrastructure that provides environmental and aesthetic benefits. Although gray and green infrastructure are often intermingled, they are usually analyzed independently. For this integrated analysis, the engineering component is a model of ground and surface water interactions in both arid and humid regions in Texas. The computer science aspect is a synthesis of coupled grey-green infrastructure systems and the generation of environmental service flows. The socioeconomic study is an application of competitive game theory that seeks to understand and augment water trading to promote in-stream flows from water rights that have been allocated for commercial, industrial, or municipal use. The project also includes visualization and stakeholder engagement in the application of water trading.

科学家以及公共和私营部门都充满了“绿色基础设施”的潜力，这是一种保护，恢复或模仿自然水周期的水管理方法。这种方法是经济的：湿地建筑或修复比建立新的水处理厂更具成本效益。绿色基础设施也降低了制造风险，同时可以提高社区安全和生活质量。例如，经过修复的湿地将提高制造商的水可靠性，为野生动植物创造栖息地和开放空间，并削弱干旱和公共供水泛滥的风险。关于绿色基础设施的大问题问题是，如果绿色基础设施与传统的灰色基础设施（例如储层运营）相结合，管理人员是否会更好地控制水系统。但是，尚不存在用于混合灰色和绿色水基础设施的建模，数据和决策支持工具。这个关键的弹性相互依存的基础架构系统和流程（CRISP）项目推动了一个建模框架，该框架与灰色和绿色水基础设施系统和过程结合在一起。该项目还将经济动机的人类参与者的影响纳入了耦合系统。具体而言，科学家和水管理人员的这种合作旨在最大程度地减少极端天气（干旱和洪水）对得克萨斯州沿海盆地化学，石油和农业部门基础设施过程的影响。这项工作导致：（1）水权持有人与监管机构（包括私营部门和公共部门参与者）之间的知识交流。 （2）在线学习平台将项目结果传播到课程中，以培训公司可持续性官员和河流当局。 （3）培训至少三名研究生，三个博士后和许多本科生，包括一些来自少数族裔服务机构（金斯维尔的德克萨斯州A＆M大学），并培养亚利桑那州立大学和德克萨斯州A＆M在金斯维尔大学之间的合作。加上传统的灰色基础设施，例如水库操作。目前尚不存在用于混合灰色和绿色水基础设施的建模，数据和决策支持工具。该项目推进了一个控制理论的框架，该框架将灰色和绿色基础设施子系统和流程融合在一起，并明确地将经济动机的人类参与者的影响纳入了系统。项目框架最大程度地减少了极端天气（干旱和洪水）对得克萨斯州沿海盆地化学，石油和农业部门基础设施过程的负面影响。这项工作包括对灰色基础设施的综合分析，用于供水和运输，以及提供环境和美学利益的绿色基础设施。尽管灰色和绿色基础设施通常被混合在一起，但通常会独立分析它们。对于这种综合分析，工程组件是德克萨斯州干旱和潮湿地区的地面和地表水相互作用的模型。计算机科学方面是耦合灰绿色基础设施系统和环境服务流的产生的综合。社会经济研究是一种竞争性游戏理论的应用，该理论试图理解和增强水交易，以促进从已分配给商业，工业或市政使用的水权中进行流过的流动。该项目还包括可视化和利益相关者参与水交易的应用。