RCN: Community Network for Volcanic Eruption Response (CONVERSE)

RCN：火山喷发应对社区网络 (CONVERSE)

• 批准号: 1830873
• 负责人: Tobias Fischer
• 金额: $ 31.02万
• 依托单位: University of New Mexico
• 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: 2018-09-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830873&HistoricalAwards=false
• 关键词: RCN; Community; Network; Volcanic; Eruption

Volcanic eruptions pose significant hazards to human life and can be extremely disruptive to the economy of regions and entire countries. The potential success of forecasting and prediction of volcanic eruptions strongly hinges on adequate monitoring of the volcano prior to and during the initial unrest, as well as detailed knowledge of the geologic history of the volcano. Significant advances have been made in the past decade with regards to geophysical and geochemical volcano monitoring techniques that have improved our understanding of what processes may lead up to an eruption. A recent report from the National Academies of Sciences identified that multi-disciplinary and near real-time instrumental observations are critical to make progress in the development of physics-based volcano models that allow for more accurate volcanic activity forecasting. This Research Coordination Network (RCN) has the goal to prepare the US Volcano research community for coordinated and interdisciplinary collaborations to improve the detection of volcanic unrest and when eruptions occur enable the effective responses to these eruptions in order to collect key data and samples. The RCN focuses on science community building and coordination between academic institutions and federal agencies, in particular the USGS but also NASA, NOAA, and other entities like NCAR.The RCN also has the goal to help address fundamental science questions through multi-disciplinary investigations of processes during volcanic activity such as: 1) Can we adequately forecast the size, duration, and hazards of eruptions by integrating observations with quantitative models of magma dynamics? and 2) Can we quantify the life cycles of volcanoes. Broader questions that can be tackled with such interdisciplinary approach are: 1) How is mantle magma production connected through the crust and to volcanoes?; 2) How fast do magmas traverse the crust and what controls the location of storage regions of these magmas?; and 3) What are the physical processes that drive pre-eruption phenomena? Obtaining the best possible and most complete data to address these questions requires collection of data during the first signs of volcanic unrest and run-up to eruption, followed by multi-disciplinary collection of data and samples during the eruption. The leading participants in the Community Network for Volcanic Eruption Response (CoNVErSe) represent a broadly interdisciplinary group of scientists from academia and US federal agencies who reflect the wide range of data, samples, instrumentation and modeling that currently characterizes volcano science.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.

火山喷发对人类的生命构成了重大危害，并且可能对地区和整个国家的经济极具破坏性。预测和预测火山喷发的潜在成功在最初和最初动荡之前和期间对火山的充分监测以及对火山的地质历史的详细了解。在过去的十年中，在地球物理和地球化学火山监测技术方面取得了重大进展，这些技术已经提高了我们对哪些过程可能导致喷发的理解。美国国家科学学院的最新报告表明，多学科和近乎实时的工具观察对于在基于物理学的火山模型的开发中取得进展至关重要，从而可以进行更准确的火山活动预测。该研究协调网络（RCN）的目标是为美国火山研究界做好准备进行协调和跨学科的合作，以改善火山动荡的检测，当爆发发生时，可以对这些喷发进行有效的反应，以收集关键数据和样本。 RCN侧重于学术机构和联邦机构之间的科学社区建设和协调，尤其是USGS，以及NASA，NOAA以及其他NCAR等其他实体。RCN也有目的是通过在诸如：1）范围内的多个范围的过程中通过多层次的流程进行多层次的过程来帮助解决基本科学问题，并在诸如：1）的范围内进行范围，以及范围内的范围。岩浆动力学的定量模型？ 2）我们可以量化火山的生命周期。可以通过这种跨学科方法解决的更广泛的问题是：1）地幔岩浆生产如何通过外壳和火山连接？ 2）岩浆横穿外壳的速度多快，什么控制了这些岩浆的存储区域？ 3）驱动爆发前现象的物理过程是什么？获得最佳和最完整的数据来解决这些问题，需要在火山动乱的第一个迹象和喷发爆发的情况下收集数据，然后在喷发期间进行多学科数据和样本收集。火山喷发反应社区网络的主要参与者（Converse）代表了来自学术界和美国联邦机构的广泛跨学科的科学家小组，这些科学家反映了目前表征火山科学的广泛数据，样本，仪器和模型的广泛范围，该奖项反映了NSF的法定任务，并通过评估范围来反映出支持者的知识群体，并经过评估范围。

项目成果

Making the most of volcanic eruption responses

• DOI: 10.1029/2021eo162790
• 发表时间: 2021-01-01
• 期刊: Eos
• 作者: Fischer, T;Moran, S;LaFemina, P
• 通讯作者: LaFemina, P