CNH: Coupled Natural-Human Dynamics in a Vulnerable Coastal System
CNH:脆弱沿海系统中的自然与人类动态耦合
基本信息
- 批准号:1212112
- 负责人:
- 金额:$ 149.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-01 至 2018-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This interdisciplinary research project will investigate the sustainability of coastal communities that are especially vulnerable to natural resource losses and natural hazards. The investigators will focus on the Lower Mississippi River Basin in Louisiana, which is one of the most vulnerable coasts in the continental United States and the world. Over the years, this deltaic region has endured multiple threats and disasters, such as land loss, subsidence, sea-level rise, flooding, hurricanes, and oil spills. The disappearance of land is a critical problem in the southern part of the region. During the past decade, significant population and economic growth has occurred in the northern part of the study area, whereas the southern part surrounding New Orleans has experienced population and economic decline. A pressing question is whether southern coastal Louisiana reached a tipping point that makes it too costly to sustain. If so, has the same type of economic and ecosystem functions gradually migrated to the neighboring region to the north? The researchers will quantify and explain these changes using a coupled natural-human system approach, and they will evaluate the implications of those findings for future planning and mitigation. The four objectives the researchers will pursue are (1) to develop methods to assess the sustainability or resilience of a coastal system; (2) to develop a system-level model to capture and quantify the dynamic linkages among the major natural and human components; (3) to compare and contrast the resiliency between the northern and southern parts of coastal Louisiana so as to understand the resiliency control factors; and (4) to simulate future scenarios for planning and decision making.This project will assess the sustainability of the lower Mississippi River basin in Louisiana using a coupled natural-human system approach. It will increase basic understanding about the key factors affecting the sustainability of a coastal system and how these key factors interact at a system level. The comparison between the two systems in coastal Louisiana will provide new knowledge regarding how the two systems have been coupled in the past that enhances understanding of system interactions in the present and facilitates projections for the future. The set of sustainability assessment and modeling tools and software developed in this project will be valuable educational as well as decision-making tools for students, other researchers, and decision makers. The project will engage a wide audience, including K-12 students and teachers from underserved schools, local governmental officials, environmental groups, and the public. Project findings will inform policy makers and the public about how to increase the resilience of the region, and they will provide scenarios to better plan for the future. The findings also will provide new insights regarding other deltaic regions around the world that are faced with similar types of threats and challenges. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.
这一跨学科研究项目将调查特别容易受到自然资源损失和自然灾害影响的沿海社区的可持续性。 调查人员将把重点放在路易斯安那州的下密西西比河流域,这是美国大陆和世界上最脆弱的海岸之一。 多年来,这个三角洲地区遭受了多种威胁和灾害,如土地流失,沉降,海平面上升,洪水,飓风和石油泄漏。 土地消失是该地区南部的一个严重问题。在过去的十年中,显着的人口和经济增长发生在研究区域的北方的一部分,而新奥尔良周围的南部地区经历了人口和经济下降。 一个紧迫的问题是,路易斯安那州南部沿海地区是否达到了一个临界点,使其成本太高,无法维持。 如果是这样的话,同样类型的经济和生态系统功能是否逐渐迁移到北部的邻近地区? 研究人员将使用耦合自然-人类系统方法量化和解释这些变化,并评估这些发现对未来规划和缓解的影响。研究人员将追求的四个目标是:(1)开发评估沿海系统的可持续性或恢复力的方法;(2)开发一个系统级模型,以捕捉和量化主要自然和人类组成部分之间的动态联系;(3)比较和对比路易斯安那州沿海北方和南部地区之间的恢复力,以了解恢复力的控制因素;(4)为规划和决策模拟未来情景。本项目将采用自然-人类系统耦合方法评估路易斯安那州密西西比河下游流域的可持续性。 它将增加对影响沿海系统可持续性的关键因素以及这些关键因素如何在系统一级相互作用的基本了解。 在路易斯安那州沿海的两个系统之间的比较将提供新的知识,这两个系统如何在过去耦合,提高了对系统相互作用的理解,在目前和促进对未来的预测。 在这个项目中开发的一套可持续发展评估和建模工具和软件将是有价值的教育,以及为学生,其他研究人员和决策者的决策工具。 该项目将吸引广泛的受众,包括K-12学生和来自服务不足学校的教师,地方政府官员,环保团体和公众。项目结果将向决策者和公众通报如何提高该区域的复原力,并将提供更好地规划未来的情景。 研究结果还将为世界上其他面临类似威胁和挑战的三角洲地区提供新的见解。 该项目由NSF耦合自然和人类系统动力学(CNH)计划支持。
项目成果
期刊论文数量(1)
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 Geochemical Record of Late‐Holocene Hurricane Events From the Florida Everglades
- DOI:10.1029/2019wr026857
- 发表时间:2020-08
- 期刊:
- 影响因子:5.4
- 作者:Q. Yao;Kam‐biu Liu;Erika Rodrigues;T. Bianchette;A. A. Aragón-Moreno-A.;Zhenqing Zhang
- 通讯作者:Q. Yao;Kam‐biu Liu;Erika Rodrigues;T. Bianchette;A. A. Aragón-Moreno-A.;Zhenqing Zhang
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Nina Lam其他文献
Resolution
- DOI:
10.1007/978-0-387-30164-8_727 - 发表时间:
1949-09 - 期刊:
- 影响因子:0
- 作者:
Nina Lam - 通讯作者:
Nina Lam
Nina Lam的其他文献
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{{ truncateString('Nina Lam', 18)}}的其他基金
Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research
合作研究:HNDS-I:人类动力学和复原力研究的网络基础设施
- 批准号:
2318203 - 财政年份:2023
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Collaborative Research: RII Track-2 FEC: Rural Confluence: Communities and Academic Partners Uniting to Drive Discovery and Build Capacity for Climate Resilience
合作研究:RII Track-2 FEC:农村融合:社区和学术合作伙伴联合起来推动发现并建设气候适应能力的能力
- 批准号:
2316367 - 财政年份:2023
- 资助金额:
$ 149.99万 - 项目类别:
Cooperative Agreement
RAPID: The Changing Roles of Social Media in Disaster Resilience: The Case of Hurricane Harvey
RAPID:社交媒体在抗灾能力中不断变化的角色:以飓风哈维为例
- 批准号:
1762600 - 财政年份:2018
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
IBSS-L: Understanding Social and Geographical Disparities in Disaster Resilience Through the Use of Social Media
IBSS-L:通过使用社交媒体了解抗灾能力的社会和地理差异
- 批准号:
1620451 - 财政年份:2016
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: An Agent-Based Simulation Model for Business Reopenings in New Orleans Post Hurricane Katrina
博士论文研究:卡特里娜飓风过后新奥尔良企业重新开放的基于主体的模拟模型
- 批准号:
1003609 - 财政年份:2010
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: An Integrated Agent-Based Microsimulation Model for Hurricane Evacuation in New Orleans
博士论文研究:基于集成代理的新奥尔良飓风疏散微观模拟模型
- 批准号:
0802593 - 财政年份:2008
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Collaborative Research: (DRU) Modeling Business Return Amid Post-Disaster Uncertainties: New Orleans After Katrina
合作研究:(DRU)在灾后不确定性中模拟业务回报:卡特里娜飓风过后的新奥尔良
- 批准号:
0729259 - 财政年份:2007
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: A Genetic Bayesian Approach for Texture-Aided Urban Land-Use/Land-Cover Classification
博士论文研究:纹理辅助城市土地利用/土地覆盖分类的遗传贝叶斯方法
- 批准号:
0726512 - 财政年份:2007
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: Detecting the Social-economic Conditions of Urban Neighborhoods Through a Combined Methodology of Wavelet Transform and Artificial Neural Networks
博士论文研究:通过小波变换和人工神经网络的组合方法检测城市社区的社会经济状况
- 批准号:
0602111 - 财政年份:2006
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
Decision-Making Among Businesses in Post-Catastrophe Uncertainty: How Economic Geographies Re-Form in New Orleans
灾难后不确定性下的企业决策:新奥尔良的经济地理如何重组
- 批准号:
0554937 - 财政年份:2005
- 资助金额:
$ 149.99万 - 项目类别:
Standard Grant
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