CAREER: Equitable Adaptation to Drinking Water Salinization from Seawater Intrusion with Smart Water Portfolios

该奖项全部或部分由《2021年美国救援计划法案》（公法117-2）资助。该学院早期职业发展（Career）项目旨在提高国家水基础设施系统的弹性和公平性，并推进智能城市技术的吸收和实施，以适应气候变化，具体重点是了解如何使用智能水技术来适应由于海平面上升海水入侵导致的高盐碱化风险的饮用水供应系统。该研究特别侧重于系统方法，以了解如何使用智能水技术来适应由于海平面上升导致海水入侵而盐碱化高风险的饮用水供应系统。这种综合研究和教学将通过解决以下两方面的知识差距，提高国家基础设施的复原力和获得高质量水的机会，这是两项重大的工程挑战：关键水基础设施的脆弱性和风险；可能的适应战略中的系统级机会和制约；智能水帮助适应盐度的可能性；将智能水技术整合到水组合中的可复制方法；培养具备实施智慧城市解决方案的专业人才。这个职业计划的结果与NSF推进国家健康、繁荣和福利的使命一致。通过综合水资源规划、系统工程、行为经济学、智慧城市规划等方法的跨学科方法，PI将整合以下四项研究和教育任务。任务1旨在研究海平面上升如何与社会人口和其他物理脆弱性相互作用，从而导致时空风险集群。虽然对许多沿海含水层和河口系统进行了孤立的研究，但对饮用水风险的广泛模式的研究很少。任务2侧重于评估智能水技术在盐度适应中的应用，寻找可扩展、经济实惠的方法来建立盐度恢复能力。替代的智能水组合，以及经验测量的供水商的态度和偏好，将在多代理系统建模框架中建模。任务3将通过研究一种称为技术路线图的方法，开发一种可复制的方法，以改善智能水技术的吸收和实施。任务4的目标是在城市规划的技术规划学科中创建一个新的课程和实践社区。这将通过以下方式实现：一篇教学研究论文，将现有的智慧城市课程与市场需求进行比较；跟踪毕业生的专业成果；引入以社区为基础的技术规划工作室；开发新的教学材料，重点关注智能技术的采用和实施，以适应气候变化。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).This Faculty Early Career Development (CAREER) project aims to improve resilience and equity of the nation’s water infrastructure system and to advance the uptake and implementation of smart city technologies for climate adaptation, with a specific focus on methods of understanding how smart water technologies can be used to adapt drinking water supply systems at high risk of salinization due to seawater intrusion from sea level rise. The research specifically focuses on systemic methods of understanding how smart water technologies can be used to adapt drinking water supply systems at high risk of salinization due to seawater intrusion from sea level rise. This integrated research and teaching will improve resilience of the nation’s infrastructure and access to high-quality water, two grand engineering challenges, by addressing gaps in knowledge on: vulnerabilities and risks to critical water infrastructure; system-level opportunities and constraints in possible adaptation strategies; the possibilities of smart water to aid in salinity adaptation; replicable methods for integrating smart water technologies into a water portfolio; and development of professionals with expertise in implementing smart city solutions. The outcomes of this CAREER plan align with NSF’s mission to advance national health, prosperity, and welfare. Through an interdisciplinary approach that blends methods from water resource planning, systems engineering, behavioral economics, and smart city planning, the PI will integrate the following four research and education tasks. Task 1 aims to examine how sea level rise interacts with sociodemographic and other physical vulnerabilities to contribute to spatiotemporal clusters of risk. Though many coastal aquifer and estuarine systems have been studied in isolation, there are few studies on broad patterns of drinking water risk. Task 2 focuses on evaluating the use of smart water technologies for salinity adaptation, in search of scalable, affordable methods to build salinity resilience. Alternative smart water portfolios, alongside empirically measured water supplier attitudes and preferences, will be modeled in a Multi-Agent System modeling framework. Task 3 will develop a replicable method for improving uptake and implementation of smart water technologies by examining a method known as technology roadmapping. Task 4 aims to create a novel curriculum and community of practice within the discipline of City Planning on technology planning. This will be accomplished through: a pedagogical research paper that compares existing smart city curricula to market needs; tracking professional outcomes of graduates; the introduction of a community-based, technology planning studio; and development of new pedagogical materials focusing on smart technology uptake and implementation for climate adaptation.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.