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Radar-supported Next-Generation Forecasting of Volcanic Ash Hazard (R4AsH)

雷达支持的下一代火山灰危害预报 (R4AsH)

基本信息

批准号：
NE/S00467X/1
负责人：
Helen Dacre
金额：
$ 36.29万
依托单位：
University of Reading
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FS00467X%2F1
关键词：
Radar supported Next Generation Forecasting

项目摘要

Volcanic plumes from explosive eruptions present a global hazard to health, the environment and the economy. The disruption caused by airborne ash to aviation is well documented and can have serious financial repercussions. Consequently, forecasting the extent and evolution of ash-rich plumes is vital for hazard assessment. However, the accuracy of numerical plume models is currently limited by uncertainties in the input eruption parameters, or 'source term', that describe the initial distribution of ash in the atmosphere.We will develop a new approach to improve estimates of source term parameters by combining advanced numerical models, techniques for understanding uncertainty and state-of-the-art satellite observations of volcanic plumes. Applying this method to data from recent eruptions will provide critical insight into how plumes evolve as they are dispersed, and into the processes involved, such as particle sedimentation and aggregation. We currently have no technique for observing these processes in the critical source term region, and such real-time data would be transformational for ash hazard forecasting. To address this, we propose multi-frequency radar as a powerful new measurement tool capable of providing the key source term parameters that describe particle size distribution and mass loading. We will develop and demonstrate the potential of this technique using laboratory experiments and advanced numerical simulations of plumes. The results will be immediately relevant to existing single-frequency radar systems currently used to observe plumes, and will inform the design and deployment of next-generation multi-frequency systems.This project is a collaboration between volcanologists, atmospheric and radar physicists and meteorologists, who are expert in laboratory experiments, remote sensing, uncertainty in environmental systems and numerical modelling. By working directly with the UK Met Office, we will deliver a new level of uncertainty understanding into operational long-range airborne ash concentration forecasts. The results will be of enormous benefit to international workers in volcanic plume forecasting and hazard assessment, and will open the door to near-real-time 3D quantification of plume processes. More accurate forecasts of the dispersal of ash in the atmosphere will enable improved mitigation for health effects, infrastructure damage, agricultural contamination and aviation hazards to deliver significant and globally relevant social, environmental and economic impacts.

爆炸性喷发产生的火山羽流对健康、环境和经济构成全球性危害。空气中的火山灰对航空业造成的破坏是有据可查的，并可能产生严重的财务影响。因此，预测富灰羽流的范围和演变对灾害评估至关重要。然而，数值羽流模型的准确性是目前有限的不确定性，在输入的喷发参数，或“源项”，描述的初始分布的火山灰在大气中，我们将开发一种新的方法来提高估计源项参数相结合的先进的数值模型，技术，了解不确定性和国家的最先进的卫星观测火山羽流。将这种方法应用于最近爆发的数据将提供关键的洞察力，了解羽流在分散时如何演变，以及所涉及的过程，如颗粒沉降和聚集。我们目前还没有在关键源项区域观测这些过程的技术，这种实时数据将对火山灰灾害预测产生变革性影响。为了解决这个问题，我们提出了多频雷达作为一个强大的新的测量工具，能够提供关键的源项参数，描述颗粒尺寸分布和质量负荷。我们将利用实验室实验和先进的羽流数值模拟来开发和展示这种技术的潜力。研究结果将与目前用于观测羽流的现有单频雷达系统直接相关，并将为下一代多频系统的设计和部署提供信息，该项目是火山学家、大气和雷达物理学家以及气象学家之间的合作，他们是实验室实验、遥感、环境系统不确定性和数值建模方面的专家。通过与英国气象局直接合作，我们将为业务性的远程空气尘埃浓度预测提供新水平的不确定性理解。研究结果将对火山羽流预测和危险评估方面的国际工作者大有裨益，并将为羽流过程的近实时三维量化打开大门。更准确地预测火山灰在大气中的扩散情况，将有助于更好地缓解健康影响、基础设施破坏、农业污染和航空危害，从而产生重大的、具有全球意义的社会、环境和经济影响。