NNA Track 1: Collaborative Research: Resilience and adaptation to the effects of permafrost degradation induced coastal erosion

NNA 轨道 1:合作研究:对永久冻土退化引起的海岸侵蚀影响的恢复和适应

基本信息

  • 批准号:
    1927715
  • 负责人:
  • 金额:
    $ 35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

Navigating the New Arctic (NNA) is one of NSF's 10 Big Ideas. NNA projects address convergence scientific challenges in the rapidly changing Arctic. The Arctic research is needed to inform the economy, security and resilience of the Nation, the larger region and the globe. NNA empowers new research partnerships from local to international scales, diversifies the next generation of Arctic researchers, and integrates the co-production of knowledge. This award fulfills part of that aim. Temperatures in the Arctic are rising rapidly, and these warmer temperatures have caused permafrost, ground that remains frozen for at least two consecutive years, to warm and thaw. Permafrost coasts, which make up approximately 30% of the world's coastlines, are experiencing accelerated erosion due to thawing. Erosion at some locations has occurred at the rate of 16 m per year since 2007. Degradation of permafrost and related coastal erosion damages coastal infrastructure and facilities across the Arctic, impacting the economic prosperity and lives of its inhabitants. As critical infrastructure becomes vulnerable to permafrost degradation and erosion, residents are forced to abandon homes and entire communities must be relocated. This diverts resources from other critical needs and disrupts social networks and subsistence practices. This research addresses society's capacity to adapt by analyzing interactions among the natural environment, social systems, and the built environment, in a part of the Arctic where coastal erosion due to permafrost degradation is taking place. This project co-produces knowledge with Arctic indigenous communities and will share research outcomes to inform decision-making with local communities and the general public. The project promotes NSF's initiative of Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) by involving local indigenous high school students in the collection of field data, providing workshops in local communities demonstrating how science and engineering can improve community well-being, and provides students and early-career researchers with training and capacity-building opportunities in convergent research. The goal of this project is to understand the complex relationship between permafrost degradation and related coastal erosion, civil infrastructure, and community well-being, including social and cultural resilience. Results can be used to formulate a holistic and predictive model that aids adaptation of social systems and the built environment to the unprecedented environmental changes in the region. The project consists of five research tasks with related research products: (1) development of a thermal model with high spatial resolution (130 m) to evaluate and predict the rate, extent, and mechanisms of permafrost degradation in the next century and a maximum entropy principle model to estimate the future rate of coastal and river bluff erosion and thermokarst development; (2) creation of an infrastructure hazards map of the region experiencing the effects of permafrost degradation and coastal erosion; (3) co-production of knowledge with Arctic indigenous communities to identify and understand the most urgent issues relating to permafrost degradation and coastal erosion and flooding, as well as collecting and integrating local long-term observations of these phenomena by local observers; (4) development of a quantitative assessment model of sociodemographic resilience of communities to permafrost degradation, demonstrating the impacts of infrastructure disruptions on the social resilience and adaptation capacity of coastal communities; and (5) development of an agent-based model (ABM) that can be used to adapt civil infrastructure and build the social resilience of communities to future permafrost degradation and coastal erosion. The project works with communities along the coastal region of Alaska North Slope Borough (NSB) to develop and validate models, although results will be of value to many coastal communities experiencing permafrost-induced coastal erosion.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.
航行新北极 (NNA) 是 NSF 的 10 大创意之一。 NNA 项目解决快速变化的北极地区的融合科学挑战。北极研究需要为国家、更大地区和全球的经济、安全和复原力提供信息。 NNA 赋予从地方到国际规模的新研究伙伴关系,使下一代北极研究人员多样化,并整合知识的共同生产。该奖项部分实现了这一目标。北极的气温正在迅速上升,气温升高导致永久冻土层(至少连续两年保持冰冻状态的地面)变暖并融化。约占世界海岸线 30% 的永久冻土海岸由于融化而正在经历加速侵蚀。自 2007 年以来,一些地点的侵蚀速度每年达到 16 m。永久冻土退化和相关的海岸侵蚀破坏了整个北极的沿海基础设施和设施,影响了经济繁荣和居民的生活。由于关键基础设施容易受到永久冻土退化和侵蚀的影响,居民被迫放弃家园,整个社区必须搬迁。 这将资源从其他关键需求中转移出来,并扰乱了社交网络和生存实践。这项研究通过分析北极地区因永久冻土退化而发生海岸侵蚀的自然环境、社会系统和建筑环境之间的相互作用,探讨了社会的适应能力。该项目与北极土著社区共同创造知识,并将分享研究成果,为当地社区和公众的决策提供信息。该项目通过让当地土著高中生参与现场数据收集、在当地社区举办研讨会展示科学和工程如何改善社区福祉,并为学生和早期职业研究人员提供融合研究方面的培训和能力建设机会,促进 NSF 在工程和科学领域代表性不足的发现者学习者社区 (INCLUDES) 中的包容性倡议。该项目的目标是了解永久冻土退化与相关海岸侵蚀、民用基础设施和社区福祉(包括社会和文化复原力)之间的复杂关系。结果可用于制定整体预测模型,帮助社会系统和建筑环境适应该地区前所未有的环境变化。该项目由五项研究任务和相关研究产品组成:(1)开发高空间分辨率(130 m)的热模型来评估和预测下个世纪多年冻土退化的速率、程度和机制,以及最大熵原理模型来估计未来海岸和河流断面侵蚀和热岩溶发展的速率; (2) 绘制遭受永久冻土退化和海岸侵蚀影响的地区的基础设施灾害地图; (3) 与北极土著社区共同生产知识,以确定和了解与永久冻土退化、海岸侵蚀和洪水有关的最紧迫问题,并收集和整合当地观察员对这些现象的长期观察; (4) 开发社区对永久冻土退化的社会人口复原力的定量评估模型,展示基础设施破坏对沿海社区社会复原力和适应能力的影响; (5) 开发基于代理的模型(ABM),可用于调整民用基础设施并增强社区对未来永久冻土退化和海岸侵蚀的社会复原力。该项目与阿拉斯加北坡自治市 (NSB) 沿海地区的社区合作开发和验证模型,尽管结果对于许多经历永久冻土引起的海岸侵蚀的沿海社区来说很有价值。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

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Xiong Zhang其他文献

Association of Common Variants in the Glucocerebrosidase Gene with High Susceptibility to Parkinson's Disease among Chinese.
中国人葡萄糖脑苷脂酶基因常见变异与帕金森病高易感性的关联。
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Xiong Zhang;Qiong;X. Zhuang;Shi;Dan Zhao;Yun Liu;Qiao Hu;Ying Chen;FeiYan Zhu;Lianchun Wang;Ning Wang
  • 通讯作者:
    Ning Wang
Impact factors of the real-world fuel consumption rate of light duty vehicles in China
中国轻型汽车实际燃料消耗率影响因素
  • DOI:
    10.1016/j.energy.2019.116388
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    9
  • 作者:
    Tian Wu;Xiao Han;M. Mocarlo Zheng;Xunmin Ou;Hongbo Sun;Xiong Zhang
  • 通讯作者:
    Xiong Zhang
Metallogenesis of the Hengjiangchong gold deposit in Jiangnan Orogen, South China
华南江南造山带横江冲金矿成矿作用
  • DOI:
    10.1016/j.oregeorev.2020.103350
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Cheng Wang;Yongjun Shao;Xiong Zhang;Chunkit Lai;Zhongfa Liu;Huan Li;Chao Ge;Qingquan Liu
  • 通讯作者:
    Qingquan Liu
Newsvendor model with voucher sales: a distributionally robust approach
带有优惠券销售的报童模型:一种稳健的分布式方法
Recent advances in transition metal chalcogenides for lithium-ion capacitors
锂离子电容器用过渡金属硫属化物的最新进展
  • DOI:
    10.1007/s12598-022-02028-8
  • 发表时间:
    2022-07
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Lei Wang;Xiong Zhang;Chen Li;Xian-Zhong Sun;Kai Wang;Fang-Yuan Su;Fang-Yan Liu;Yanwei Ma
  • 通讯作者:
    Yanwei Ma

Xiong Zhang的其他文献

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{{ truncateString('Xiong Zhang', 18)}}的其他基金

Comprehensive Characterization of Unsaturated Soils using Advanced Photogrammetry and Novel Fiber Optic Sensors
使用先进摄影测量和新型光纤传感器对非饱和土壤进行综合表征
  • 批准号:
    2229380
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
EAGER: Use of Results from the Undrain Triaxial Tests to Model Elasto-plastic Behavior for Unsaturated soils: A Feasibility Study
EAGER:利用不排水三轴试验的结果来模拟非饱和土的弹塑性行为:可行性研究
  • 批准号:
    1054532
  • 财政年份:
    2010
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant

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