INFEWS: US-China-Quantifying complex adaptive FEW systems with a coupled agent-based modeling framework

INFEWS:使用基于耦合代理的建模框架来量化复杂的自适应 FEW 系统

基本信息

  • 批准号:
    1804560
  • 负责人:
  • 金额:
    $ 49.99万
  • 依托单位:
  • 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

项目摘要

With growing populations and economic development, the challenges of water, energy, and food security, as well as their inter-relations, have risen to the forefront as global concerns. When the scale of the problem is reduced to a regional level like a large river basin, nuances across these challenges emerge. This is because the basin-scale food, energy, and water (FEW) systems are essentially a coupled natural-human complex system of systems and should be collectively denoted as FEW nexus. Within the nexus both natural processes (e.g., rainfall-runoff for water supply) and human behavior (e.g., energy and food commodity markets and policies) are interdependent at hierarchical spatiotemporal scales. There are significant knowledge and capability gaps associated with this FEW nexus, particularly in the context of data and modeling. This project addresses these gaps by developing a new mathematical modeling framework to decipher the complex, adaptive food-energy-water system of systems (FEWSoS). This modeling tool can ensure policy coherence and coordination among stakeholders to build synergies and generate co-benefits (e.g., improving security in water, energy and food sectors simultaneously) that enable us to address the future challenges across multiple sectors. The project will leverage Mountaintop Initiative at Lehigh University for educational outreach by allowing engagement of small groups of interdisciplinary projects. They will also engage undergraduate students in the ADVANCE program and the BALANCE program in the STEM disciplines. They will also engage an international student from Ethiopia as a part of this project. Finally, the project will have a kickoff and wrap-up meeting between the US and China investigators. The proposed modeling framework will be centering on an agent-based representation of the linkages among food, energy and water sub-systems and between human and physical systems across multiple temporal and spatial scales. The three main research objectives are: (1) Constructing a comprehensive knowledge platform with a set of quantitative metrics for sustainability, vulnerability, and resilience of a FEWSoS via inventory and evaluation of both public and local data and information from the food, energy and water sectors; (2) Developing a spatially and temporally distributed modeling framework that analyzes the food-energy-water interactions in a given FEWSoS from local to river-basin scales. The interactions among food, energy, and water will be quantified with the aid of a hydro-agro-economic model (food module), an energy production cost model (energy module) and a process-based hydrologic model (water module); (3) Testing the utility of the developed FEWSoS modeling framework over two international river basins in the U.S. and China: the Columbia River and the Mekong River to elucidate similarities and differences in these FEWSoS, hence generating new understanding that is transferable to other river basins. PIs diverse backgrounds and experiences in water resources management, hydrologic modeling, energy market modeling, and hydro-agro-economic modeling from both the U.S. and China teams provide an excellent opportunity for graduate students and postdocs to work together across disciplines. The kick-off meeting in the US and the wrap-up meeting in China will allow all PIs to engage stakeholders from the beginning till the end of the project and make sure the model development echoes real world needs.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.
随着人口的增长和经济的发展,水、能源和粮食安全及其相互关系的挑战已成为全球关注的首要问题。当问题的规模缩小到像一个大流域这样的区域层面时,这些挑战之间就会出现细微的差异。这是因为流域规模的食物、能源和水(少数)系统本质上是一个自然-人类耦合的复杂系统,应该统称为少数联系。在这个网络中,自然过程(例如,供水的降雨径流)和人类行为(例如,能源和粮食商品市场和政策)在不同的时空尺度上是相互依存的。与这几个关系相关的知识和能力差距很大,尤其是在数据和建模环境中。该项目通过开发一种新的数学建模框架来解决这些差距,以破译复杂的适应性食品-能源-水系统(FEWSoS)。这一建模工具可以确保政策的连贯性和利益攸关方之间的协调,以建立协同效应并产生共同惠益(例如,同时改善水、能源和粮食部门的安全),使我们能够应对未来跨多个部门的挑战。该项目将利用利哈伊大学的山顶倡议进行教育推广,允许参与小规模的跨学科项目。他们还将邀请本科生参加STEM学科的高级课程和平衡课程。他们还将聘请一名来自埃塞俄比亚的国际学生作为该项目的一部分。最后,该项目将在美国和中国调查人员之间举行启动和总结会。拟议的建模框架将以粮食、能源和水子系统之间以及人与自然系统之间在多个时间和空间尺度上的联系的基于主体的表示为中心。三个主要研究目标是:(1)通过清查和评估公共和地方数据以及来自食品、能源和水部门的信息,构建一个全面的知识平台,包括一套关于可持续发展、脆弱性和复原力的量化指标;(2)建立一个时空分布的建模框架,从地方到河流-流域尺度分析给定的FEWSos中的食物-能量-水相互作用。将借助水文农业经济模型(食品模块)、能源生产成本模型(能源模块)和基于过程的水文模型(水模块)来量化粮食、能源和水之间的相互作用;(3)测试开发的FEWSoS模型框架在美国和中国的两个国际流域:哥伦比亚河和湄公河的适用性,以阐明这些FEWSos的异同,从而产生可移植到其他流域的新认识。PIS来自美国和中国团队在水资源管理、水文建模、能源市场建模和水文农业经济建模方面的不同背景和经验为研究生和博士后提供了跨学科合作的绝佳机会。美国的动员会和中国的总结会将允许所有PI从头到尾与利益相关者接触,确保模型开发与现实世界的需求相呼应。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智力优势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

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Comprehensive Review of the Nexus of Food, Energy, and Water Systems: What the Models Tell Us
  • DOI:
    10.1061/(asce)wr.1943-5452.0001564
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    D. H. B. Gai;E. Shittu;Y. C. Ethan Yang;Hong‐Yi Li
  • 通讯作者:
    D. H. B. Gai;E. Shittu;Y. C. Ethan Yang;Hong‐Yi Li
An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework
使用基于双向耦合代理的建模框架对耦合自然人类系统进行研究
  • DOI:
    10.1016/j.envsoft.2022.105451
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Lin, Chung-Yi;Yang, Y.C. Ethan;Malek, Keyvan;Adam, Jennifer C.
  • 通讯作者:
    Adam, Jennifer C.
Examining the Food-Energy-Water-Environment Nexus in Transboundary River Basins through a Human Dimension Lens: Columbia River Basin
Investing in Renewable Energy: Reconciling Regional Policy With Renewable Energy Growth
投资可再生能源:协调区域政策与可再生能源增长
  • DOI:
    10.1109/emr.2018.2880445
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ogunrinde, Olawale;Shittu, Ekundayo;Dhanda, Kanwalroop Kathy
  • 通讯作者:
    Dhanda, Kanwalroop Kathy
Hydropower Replacement and the Nexus of Food-Energy-Water Systems: Impacts on Climate Performance
水电替代和粮食-能源-水系统的联系:对气候绩效的影响
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Yi-Chen Yang其他文献

Fabrication of gelatin hydrogels using pre-coordinated lanthanide complexes emvia/em imine crosslinking
利用预配位镧系元素络合物通过 emvia/em 亚胺交联制备明胶水凝胶
  • DOI:
    10.1039/d4cc03886j
  • 发表时间:
    2024-11-05
  • 期刊:
  • 影响因子:
    4.200
  • 作者:
    Chen-Cheng Yu;Yu Yun Hsu;Yu-Chia Su;Yi-Chen Yang;Tzu-Ying Wang;Yi-Cheun Yeh
  • 通讯作者:
    Yi-Cheun Yeh
Planar and ridge waveguides prepared by ion implantation and femtosecond laser ablation in Ersup3+/sup-doped germanate glasses
掺铒锗酸盐玻璃中通过离子注入和飞秒激光烧蚀制备的平面波导和脊形波导
  • DOI:
    10.1016/j.rinp.2023.107103
  • 发表时间:
    2023-11-01
  • 期刊:
  • 影响因子:
    4.600
  • 作者:
    Chun-Xiao Liu;Jie-Zhao;Zong-Yu Hua;Yi-Chen Yang;Wang Sun;Liao-Lin Zhang;Xiang-Fu Wang
  • 通讯作者:
    Xiang-Fu Wang
A Comparative Analysis of Methods for Titering Reovirus
呼肠孤病毒滴定方法的比较分析
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yi-Chen Yang;Xian-Yao Wang;Yuan-Yuan An;Chun-Xiang Liao;Nian-Xue Wang;Xing-Zhao;Zhi-Xu He
  • 通讯作者:
    Zhi-Xu He
Engineering emKomagataella phaffii/em to produce lycopene sustainably from glucose or methanol
改造巴斯德毕赤酵母(Komagataella phaffii)以从葡萄糖或甲醇可持续地生产番茄红素
  • DOI:
    10.1016/j.ymben.2025.03.013
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    6.800
  • 作者:
    Wei Zhou;Rui-Jing Ling;Yi-Chen Yang;Shu-Ting Hou;Feng-Qing Wang;Bei Gao;Dong-Zhi Wei
  • 通讯作者:
    Dong-Zhi Wei
HCV genotype distribution among injection drug users in Taiwan
  • DOI:
    10.1016/j.drugalcdep.2014.09.368
  • 发表时间:
    2015-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yu-Ching Lan;Yi-Chen Yang;Tin-Wei Chi;Kuan-Hua Chen;Ruey-Yun Wang;Yao-Chang Chiang;Chieh-Liang Huang;Ing-Kang Ho;Yih-Ing Hser
  • 通讯作者:
    Yih-Ing Hser

Yi-Chen Yang的其他文献

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{{ truncateString('Yi-Chen Yang', 18)}}的其他基金

A human-centered modeling approach to simulate best management practices and behaviors under uncertainty to meet water quality guidelines
以人为本的建模方法,用于模拟不确定情况下的最佳管理实践和行为,以满足水质准则
  • 批准号:
    2342309
  • 财政年份:
    2024
  • 资助金额:
    $ 49.99万
  • 项目类别:
    Standard Grant
NSF-JST: An Inclusive Human-Centered Risk Management Modeling Framework for Flood Resilience
NSF-JST:以人为本的包容性防洪风险管理模型框架
  • 批准号:
    2342842
  • 财政年份:
    2024
  • 资助金额:
    $ 49.99万
  • 项目类别:
    Standard Grant
CAREER:Understanding sustainable stormwater management via an Internet of Things-based green infrastructure network and a coupled Agent-Based Modeling approach
职业:通过基于物联网的绿色基础设施网络和基于代理的耦合建模方法了解可持续雨水管理
  • 批准号:
    1941727
  • 财政年份:
    2020
  • 资助金额:
    $ 49.99万
  • 项目类别:
    Continuing Grant

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