INFEWS/T2: Flexible Model Compositions and Visual Representations for Planning and Policy Decisions at the Sub-regional level of the food-energy-water nexus

INFEWS/T2：粮食-能源-水关系次区域层面规划和政策决策的灵活模型组合和视觉表示

• 批准号: 1639227
• 负责人: Ross Maciejewski
• 金额: $ 299.88万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1639227&HistoricalAwards=false
• 关键词: INFEWS; T2; Flexible; Model; Compositions

In recent years, there has been an increasing focus on the processes and interactions among food, energy, and water systems, or the so-called food-energy-water (FEW) nexus, and the resulting implications for sustainability, resilience, and security. Food represents agricultural trade and consumption and is a critical component of a region's economy. Energy is required to supply and treat water for agriculture, municipal, and industrial uses, as well as to mechanize agricultural activities. Water is used for human and industrial consumption, crop irrigation, and energy production. While the multifaceted interactions between food, energy and water are often framed as threats or stresses of one system upon the others, basic understanding of the feedback dynamics is necessary for identifying synergies and potential efficiencies. Yet, despite known interrelationships at the FEW nexus, policy, planning, and management decisions for food, energy, and water are typically made in isolation from one another without full consideration of the tradeoffs between sectors. This is primarily because of the complexity of each isolated system, which makes understanding the interconnections between systems difficult to identify let alone assess in an integrated manner. Despite this challenge, knowledge of the linkages, synergies, and conflicts in the FEW nexus is desperately needed to provide evidence-based decision-making for policies in each sector that are most likely to produce positive effects in the other sectors. To achieve such integration, decision makers need to incorporate information about national, regional, and local scale impacts of food-energy-water interactions into the development of robust policy decisions across a range of future conditions. In this way, policies can be developed that can insure resilience of the FEW nexus under variable climate conditions and futures to help ensure public well-being and sustainable growth.The overarching goal of this research is to develop basic interdisciplinary scientific understanding of food, energy, and water system dynamics to inform an integrated modeling, visualization, and decision support infrastructure for comprehensive FEW systems. This will require the development of (i) a multi-resolution integrated modeling framework that explicitly captures the feedbacks among food, energy and water sectors; and (ii) a visualization infrastructure that enables model composition and reveals cascading effects across the three FEW areas as well as their multivariate spatiotemporal uncertainties. Such an infrastructure needs to be easy to use with a seamless integration of analytical and visual tools, adaptable to new algorithms, and should empower individuals to gain knowledge about their data and the associated uncertainty. To test the proposed framework, the focus of this project will be on a use case in Arizona, the Phoenix Active Management Area (AMA). The Phoenix AMA is a compelling case study for exploring the FEW nexus at sub-regional scale and is ideal to design and test an integrated modeling, visualization, and decision support framework to interactively explore the interconnections of the FEW systems and support effective resource management and human decision making. While the focus is on a specific study region, the long-term outcome of this proposal is to create a flexible and multiscale visualization and decision support infrastructure that could be easily adapted to other locations. Broader impacts of the research program include: 1) infrastructure for policy, research and education in the form of an anticipatory modeling framework; 2) expanding research in decision making under uncertainty for sustainability within the context of multi-directional linkages to FEW nexus, and; 3) enhanced partnerships between computer science, hydrology, agriculture, economics and sustainability to encourage the development of infrastructure that enables model coupling, anticipatory analysis and stakeholder engagement. Additional information can be found at the project website (http://vader.lab.asu.edu/VA-INFEWS) including open source software, course learning modules and other material.

近年来，人们越来越关注食物、能源和水系统之间的过程和相互作用，或所谓的食物-能源-水（FEW）关系，以及由此产生的对可持续性、弹性和安全性的影响。粮食代表着农业贸易和消费，是一个地区经济的重要组成部分。农业、市政和工业用水的供应和处理以及农业活动的机械化都需要能源。水用于人类和工业消费、作物灌溉和能源生产。虽然食物、能源和水之间多方面的相互作用经常被认为是一个系统对另一个系统的威胁或压力，但对反馈动态的基本理解对于确定协同作用和潜在效率是必要的。然而，尽管已知在少数几个联系中存在相互关系，但粮食、能源和水的政策、规划和管理决策通常是彼此孤立地制定的，没有充分考虑部门之间的权衡。这主要是因为每个孤立系统的复杂性，这使得很难理解系统之间的相互联系，更不用说以综合的方式进行评估了。尽管存在这一挑战，但迫切需要了解“少数族裔”联系中的联系、协同作用和冲突，以便为每个部门的政策提供基于证据的决策，这些政策最有可能在其他部门产生积极影响。为了实现这种整合，决策者需要将有关粮食-能源-水相互作用的国家、区域和地方规模影响的信息纳入未来一系列条件下强有力的政策决策的制定中。通过这种方式，可以制定政策，确保少数民族联系在变化的气候条件和未来下的复原力，以帮助确保公共福祉和可持续增长。本研究的总体目标是发展对食物、能源和水系统动力学的基本跨学科科学理解，为综合FEW系统的集成建模、可视化和决策支持基础设施提供信息。这将需要开发(i)一个多分辨率综合建模框架，明确捕获食品、能源和水部门之间的反馈；（ii）可视化基础设施，使模型组成和揭示跨三个FEW区域的级联效应及其多变量时空不确定性。这样的基础设施需要易于使用，与分析和可视化工具无缝集成，适应新的算法，并且应该使个人能够获得有关其数据和相关不确定性的知识。为了测试提议的框架，这个项目的重点将放在亚利桑那州的一个用例上，即Phoenix Active Management Area （AMA）。Phoenix AMA是一个引人注目的案例研究，用于在次区域尺度上探索FEW联系，是设计和测试集成建模、可视化和决策支持框架的理想选择，用于交互式地探索FEW系统的互连，并支持有效的资源管理和人类决策制定。虽然重点是在一个特定的研究区域，但这个建议的长期结果是创建一个灵活的、多尺度的可视化和决策支持基础设施，可以很容易地适应其他地点。研究计划的更广泛影响包括：1)以预期建模框架的形式为政策、研究和教育提供基础设施；2)在多向联系与FEW关系的背景下，扩大可持续性不确定性下的决策研究；3)加强计算机科学、水文学、农业、经济学和可持续性之间的伙伴关系，以鼓励基础设施的发展，使模型耦合、预期分析和利益相关者参与成为可能。更多信息可以在项目网站（http://vader.lab.asu.edu/VA-INFEWS）上找到，包括开源软件、课程学习模块和其他材料。

项目成果

Sky View Factor footprints for urban climate modeling

• DOI: 10.1016/j.uclim.2018.05.004
• 发表时间: 2018-09
• 期刊: Urban Climate
• 影响因子: 6.4
• 作者: Ariane Middel;Jonas Lukasczyk;Ross Maciejewski;M. Demuzere;M. Roth

A metropolitan scale analysis of the impacts of future electricity mix alternatives on the water-energy nexus

• DOI: 10.1016/j.apenergy.2019.113870
• 发表时间: 2019-12
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: Adil Mounir;G. Mascaro;D. White

Model and Simulation Scalability Traits for Interaction (Nexus) Modeling of Water and Energy Systems

水和能源系统交互 (Nexus) 建模的模型和仿真可扩展性特征

• DOI: 10.23919/annsim55834.2022.9859455
• 发表时间: 2022
• 期刊: Annual Simulation Conference
• 作者: Fard, Mostafa D.;Sarjoughian, Hessam S.
• 通讯作者: Sarjoughian, Hessam S.

A RESTful framework design for componentizing the water evaluation and planning (WEAP) system

水评估与规划（WEAP）系统组件化的RESTful框架设计

• DOI: 10.1016/j.simpat.2020.102199
• 发表时间: 2021
• 期刊: Simulation Modelling Practice and Theory
• 影响因子: 4.2
• 作者: Fard, Mostafa D.;Sarjoughian, Hessam S.
• 通讯作者: Sarjoughian, Hessam S.

A Bibliometric Analysis of Food-Energy-Water Nexus Literature

食物-能源-水关系文献的文献计量分析

• DOI: 10.3390/su12031112
• 发表时间: 2020
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: Opejin, Adenike K.;Aggarwal, Rimjhim M.;White, Dave D.;Jones, J. Leah;Maciejewski, Ross;Mascaro, Giuseppe;Sarjoughian, Hessam S.
• 通讯作者: Sarjoughian, Hessam S.