Development of a Spatially-transferable and Temporally-resolved Urban Corridor Air and Noise pollution model: STUCAN

空气和噪音污染是全球健康和环境负担。在加拿大，人口继续城市化，这集中了许多污染源。该研究计划将创建空气污染和噪声污染模型，这些模型能够预测可持续交通发展对污染的影响，特别是城市走廊中的轻轨交通，以及模型背景城市污染。这项研究是在加拿大的两个城市进行的，目的是能够在加拿大的任何城市地区实施。加拿大各级政府都在投资新的快速交通基础设施，以应对日益严重的交通拥堵以及相关的社会、经济和环境负面影响。加拿大计划或正在建设11条轻轨交通（LRT）线路（轨道长度145.6公里），开工日期从2011年到2021年不等。全国各地计划和正在进行的项目的建设将至少持续到2030年。这些轻便铁路计划需要沿人口稠密的市区走廊沿着兴建专用的地面铁路基础设施，预计建造期由4年至10年以上不等。该研究旨在开发一个空气和噪音污染模型，可以预测城市地区施工前和施工期间的空气和噪音污染状况。* 这项拟议的研究计划在理解可持续交通发展对空气和噪音质量的影响方面具有重要意义，并在开发用于模拟交通源环境污染的尖端工具方面具有重要意义。工作围绕两个关键问题：1）在加拿大城市建设轻轨交通（LRT）将对空气质量和噪音产生什么影响。2)我们如何改进城市空气污染模拟方法的实践状况。了解可持续交通发展对空气质量和噪音的影响，将使加拿大人能够规划机会，尽量减少潜在的健康风险。在研究领域内，许多空气和噪声污染模型的使用仅限于它们开发的位置。该研究项目调查了为什么模型往往是本地的，以及影响它们在其他城市使用的因素是什么，这将指导能够在加拿大多个城市使用的模型的设计。这项研究在污染建模方法方面做出了重大贡献，并为支持可持续交通规划提供了证据。通过提供与重大基础设施项目建设相关的空气和噪音质量变化的了解，该研究计划将为加拿大和全球快速交通线的规划和风险评估提供证据。

Air and noise pollution are a global health and environmental burden. Within Canada the population continues to urbanize, which concentrates many pollution sources. This research program, will create air pollution and noise pollution models that are capable of predicting pollution impacts from sustainable transportation development, specifically light rail transportation in urban corridors, and model background urban pollution. The research is conducted on two Canadian cities, with the objective of being able to be implemented in any Canadian urban area. All levels of governments in Canada are investing in new rapid transit infrastructure to counter rising levels of traffic congestion, and related negative social, economic, and environmental impacts. Eleven light rail transit (LRT) lines (145.6 km of track) are planned or under construction in Canada, with construction start dates ranging from 2011 to 2021. Construction across the country of planned and on-going projects will continue until at least 2030. These LRT projects require building dedicated surface rail infrastructure along highly populated urban corridors and have anticipated construction periods ranging from four to more than 10 years. The proposed research aims to develop an air and noise pollution model that can predict air and noise pollution conditions in urban areas prior-to and during construction. ***This proposed research program holds significance in terms of understanding the air and noise quality impacts of sustainable transportation development, and in developing cutting edge tools for the modelling of environmental pollution from transport sources. The work centres around two key questions: 1) What will be the air quality and noise impacts of light rail transit (LRT) construction in urban Canada. 2) How can we improve upon the state-of-practice in urban air pollution modelling methods. Understanding what the air quality and noise impacts of sustainable transportation development are, will allow Canadians planning opportunities to minimize potential health risks. Within the research field, many air and noise pollution models are limited in use to the location where they were developed. This research program investigates why models tend to be local and what are the factors affecting their use in other cities, which will guide the design of models capable for use in multiple cities within Canada. This research holds both significant contributions related to pollution modelling methods, and the development of evidence to support sustainable transportation planning. By offering an understanding of the change in air and noise quality associated with the construction of major infrastructure projects, this research program will contribute evidence to aid in the planning and risk assessment of rapid transit lines in Canada, and globally.