Linking large-scale and local near-ground wind events and their engineering impact

将大规模和局部近地风事件及其工程影响联系起来

• 批准号: RGPIN-2018-06251
• 负责人: Savory, Eric
• 金额: $ 2.33万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759873
• 关键词: Linking; large; scale; local; near

Society is aware of the ever-increasing advances in sensor technology and in computing power to handle “big data” and so there is an expectation that these will be put to use in providing greater protection through predictive networks, especially in the face of the increase in the frequency of extreme weather events associated with climate change which also increases the risk to both human life and infrastructure. In order to transform such networks, so they can directly relate the physics of person-scale local winds to the weather events that produce them, there is an urgent need to be able to couple regional-scale sensor and numerical model data with predictions of very local meteorological conditions relevant to specific infrastructure and human populations, such as extreme wind loads on transmission lines and buildings due to downbursts and tornadoes or adverse conditions in urban street canyons that result in increased pollutant levels.The proposed research is critical as it seeks to identify the underlying physical mechanisms and quantify these connections between large-scale meteorology and local events, in the form of (i) downburst-producing thunderstorms, (ii) tornado evolution in supercells and (iii) building roof and canyon level wind fields beneath urban boundary layers with their impacts on the performance of roof-mounted solar panels and on the ventilation of the urban canopy, that is the “breathability” of cities. This impact will be achieved through the applicant's expertise in wind engineering and fluid mechanics, supported by international collaboration featuring the expertise of a severe storms meteorologist and an expert in urban wind flows. The research will encompass; world-leading, large-scale, super-computer simulations of complete downburst-producing storms and tornado-producing supercells supported by laboratory scale experiments of downburst flows (with application to the wind forces acting on electricity transmission line systems), wind tunnel studies of wind flow over simulated urban terrain and of wind effects on solar panels. The outcomes will be engineering design guidelines and correlations for such wind effects, together with models that define the relationship between these local-scale winds and regional-scale wind systems.The impact of the proposed research in Canada will be especially strong because the most populous southern regions are also the most susceptible to extreme storm events, notably the tornado risk to southern Ontario where a large part of Canadian industry and infrastructure is located. Canada's most populous cities, where air quality is of greatest concern, are also located in the south as is the growing solar energy industry, including roof-mounted systems, which are contributing to the decrease in our reliance on fossil fuels.

社会意识到传感器技术和计算能力的不断增长，以处理“大数据”，因此，人们期望通过预测网络来使用这些技术来提供更大的保护，尤其是面对与气候变化相关的极端天气事件频率的增加，这也会增加人类生活和基础结构的风险。 In order to transform such networks, so they can directly relate the physics of person-scale local winds to the weather events that produce them, there is an urgent need to be able to couple regional-scale sensor and numerical model data with predictions of very local meteorological conditions relevant to specific infrastructure and human populations, such as extreme wind loads on transmission lines and buildings due to downbursts and tornadoes or adverse conditions in urban street canyons that result在污染物较高的水平中，该提出的研究至关重要，因为它试图确定基本的物理机制，并以（i）爆发产生雷暴的形式量化这些联系，并以（iii）在超级电池和（iii）建筑屋顶和Canyon级别的范围内效果的tornaldo thunderstorms（i）形式，该龙卷风的进化效果。面板和城市顶篷的通风，这就是城市的“透气性”。通过该应用程序在风能工程和流体机制方面的专业知识，将获得影响，并得到国际合作的支持，该国际合作的专业知识是严重的风暴气象学家和城市风流专家。研究将包括在内；全球领先的，大规模的，超级计算机模拟的完全爆发暴风雨和产生龙卷风的超级电池，并受到下降爆发流的实验室规模实验（应用于电力传输线上的风力），风力隧道的风向流动，模拟的Urban Terrain terrain terrain and vine terain of Wind terrain of Wind terrain对Solar Pastels的风流。结果将是工程设计指南和这种风效应的相关性，以及定义这些地方规模的风与区域尺度风系统之间关系的模型。加拿大拟议的研究的影响将特别强大，因为人口最多的南部地区也对极端风暴易感性最易于敏感，尤其是对托纳德（Tornado）的风险，在托纳德（Tornado）的风险中，大部分地区的托纳德（Tornado）风险很大。加拿大人口最多的城市，空气质量最关注的城市也位于南部，以及不断增长的太阳能行业，包括屋顶安装的系统，这有助于我们在化石燃料上退休的下降。