Water Sustainability at the Food-Energy-Water Nexus under Urbanization and Climate Change

城市化和气候变化下粮食-能源-水关系的水可持续性

• 批准号: 1803920
• 负责人: Yuyu Zhou
• 金额: $ 49.91万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1803920&HistoricalAwards=false
• 关键词: Water; Sustainability; Food; Energy; Nexus

This project will develop an integrated platform including urbanization, electricity and water demand, and hydrology/crop models to examine the impact of urbanization on electricity use, water demand, and crop yields in the context of climate change. By taking a nexus approach to addressing these challenges, this work should lead to new and unanticipated solutions to improve sustainable use of water in this century of urbanization and climate change. A set of socioeconomic, urbanization, and climate change scenarios will be designed to explore challenges of growing water demand under urbanization and climate change. The modeling platform is designed to be transferrable to watersheds across the world - especially those facing the challenges of fast urbanization and potential climate change - for a systematic and integrative evaluation of the food-energy-water system to develop adaptation and mitigation strategies for water sustainability.A modeling platform integrating three key components will be built to allow an improved understanding of water demand and sustainability under urbanization and climate change. The first component is an urban growth model, supported by satellite remote sensing and socioeconomic data, to project future urbanization and predict the consequent urban heat island intensity. The second component is a multi-sector water demand model to evaluate the impact of urbanization and climate change on water demand from public supply, and electricity use and resulting thermoelectric cooling water demand. The third component will examine the impact of urbanization on runoff and crop land loss, along with resulting complex changes in crop yields and irrigation water demand. This integrated modeling platform will serve as a prototype in coupling often independent research areas (e.g., urbanization, energy, and water) together with scenario analyses to explore complex problems and create a means to address growing water demand challenges under urbanization and climate change. This project will offer the opportunity for stakeholders to participate in the dialogue. The plan is to develop an interactive training program for land use planners and water managers with specific outreach to planning agencies that will encourage people to engage in the training. Through this, the aim is to help decision-makers improve their understanding of how urbanization and climate change influence water demand and sustainability for more informed decision making and planning, with potential to help global communities achieve their 2030 Sustainable Development Goals.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.

该项目将开发一个包括城市化、电力和水需求以及水文/作物模型的综合平台，以研究气候变化背景下城市化对电力使用、水需求和农作物产量的影响。通过采取联系的方法来应对这些挑战，这项工作应该会带来新的、意想不到的解决方案，以在本世纪的城市化和气候变化中改善水资源的可持续利用。将设计一系列社会经济、城市化和气候变化情景，以探索城市化和气候变化下日益增长的水需求的挑战。该建模平台旨在可转移到世界各地的流域 - 特别是那些面临快速城市化和潜在气候变化挑战的流域 - 对食物-能源-水系统进行系统和综合评估，以制定水可持续性的适应和缓解策略将建立一个集成三个关键组件的建模平台，以更好地了解城市化和气候变化下的水需求和可持续性。第一个组成部分是城市增长模型，在卫星遥感和社会经济数据的支持下，用于预测未来的城市化并预测随之而来的城市热岛强度。第二个组成部分是多部门用水需求模型，用于评估城市化和气候变化对公共供应用水需求、电力使用以及由此产生的热电冷却水需求的影响。第三部分将研究城市化对径流和农作物土地损失的影响，以及由此导致的农作物产量和灌溉用水需求的复杂变化。该集成建模平台将作为原型，将通常独立的研究领域（例如城市化、能源和水）与情景分析结合起来，以探索复杂的问题，并创建一种方法来应对城市化和气候变化下日益增长的用水需求挑战。该项目将为利益相关者提供参与对话的机会。该计划旨在为土地利用规划人员和水管理人员制定互动培训计划，并专门向规划机构进行宣传，鼓励人们参与培训。通过此项目，目的是帮助决策者提高对城市化和气候变化如何影响水需求和可持续性的理解，以便做出更明智的决策和规划，并有可能帮助全球社区实现 2030 年可持续发展目标。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点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

Amplified intensity and duration of heatwaves by concurrent droughts in China

• DOI: 10.1016/j.atmosres.2021.105743
• 发表时间: 2021-10
• 期刊: Atmospheric Research
• 影响因子: 5.5
• 作者: Zitong Shi;G. Jia;Yuyu Zhou;Xiyan Xu;Ying Jiang

Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model

• DOI: 10.1016/j.gsf.2021.101141
• 发表时间: 2021-01
• 期刊: Geoscience Frontiers
• 影响因子: 8.9
• 作者: Huidong Li;Yuyu Zhou;G. Jia;K. Zhao;Jinwei Dong

Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China

• DOI: 10.3390/rs12172805
• 发表时间: 2020-09-01
• 期刊: REMOTE SENSING
• 影响因子: 5
• 作者: Chen, Wei;Zhou, Yuyu;Yu, Bailang
• 通讯作者: Yu, Bailang

An improved urban cellular automata model by using the trend-adjusted neighborhood

• DOI: 10.1186/s13717-020-00234-9
• 发表时间: 2020-05-29
• 期刊: ECOLOGICAL PROCESSES
• 影响因子: 4.8
• 作者: Li, Xuecao;Zhou, Yuyu;Chen, Wei
• 通讯作者: Chen, Wei

An agent-based framework for high-resolution modeling of domestic water use

• DOI: 10.1016/j.resconrec.2021.105520
• 发表时间: 2021-06
• 期刊: Resources Conservation and Recycling
• 影响因子: 13.2
• 作者: Yiming Wang;Yuyu Zhou;K. Franz;Xuesong Zhang;K. Ding;G. Jia;Xing Yuan